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STEPHENS, JON BARTON. "ENVIRONMENTAL MONITORING DETECTOR". Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/614237.
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Malware authors have developed many techniques that allow a malicious program to change its behavior, many of which
require information from the computing environment. To fully understand how malware will affect a system, all behaviors it can exhibit
need to be examined, so tools are needed that can expose when malware uses information from its environment to change its
behavior. This project created such a tool called the environmental monitoring detector that will run a malicious program and search for
cases of environmental monitoring while the malware is running. The tool is able to detect when a program uses environmental
information to conditionally change its execution path; however, it has been found to be ineffective against obfuscated programs due to
the lack of instruction specific taint propagation policies.
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Robinson, Darren. "Integrated building environmental performance monitoring". Thesis, Anglia Ruskin University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263988.
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Myint, Cho Zin. "Reconfigurable Wireless Sensor Network Design for Environmental Monitoring in IoT Environment". Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/76187.
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This study presents a reconfigurable wireless sensor network (WSN) based water quality monitoring (WQM) system in an IoT environment to measure five parameters of water such as water temperature, water level, water pH, turbidity of water and CO2 on the surface of water using sensors, Field Programmable Gate Array (FPGA), Zigbee wireless communication protocol and personal computer (PC), a VHDL language and C++ program.
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Pino, Flavio. "Development of nanomaterials for environmental monitoring". Doctoral thesis, Universitat Autònoma de Barcelona, 2015. http://hdl.handle.net/10803/325142.
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El monitoreig ambiental basat en sistemes de biosensors té molta rellevància, no només en el camp de la investigació sinó també en aplicacions reals a nivell industrial. Això és degut als avantatges d’aquestes plataformes analítiques com, especialment, la seva simplicitat i alta rendibilitat pel seu cost.
A més, els avenços recents en nanociència i nanotecnologia incrementen donen lloc a nous nanomaterials que tenen propietats elèctriques interessants com ara la seva capacitat de millorar la conductivitat dels elèctrodes. Aixó té un interès particular de cara al desenvolupament de sistemes de biosensors electroquímics.
La combinació de nanomaterials amb biosensors electroquímics permeten construir eines d’anàlisi poderoses per al monitoreig mediambiental. Aquest és l’objectiu principal d’aquesta tesi, que descriu el desenvolupament i l’aplicació de tres nous biosensors pel monitoreig mediambiental mitjançant l’ús de nanomaterials.
El primer capítol de la tesi proporciona una introducció general sobre el monitoreig mediambiental de contaminants i dona una breu descripció i classificació d’aquests components nocius. També dona una visió de la rellevància de l’ús de nanomaterials en sistemes de biosensors pel monitoreig mediambiental amb una detallada revisió dels últims treballs publicats que descriuen aspectes innovadors així com possibles inconvenients.
Al capítol 3 es descriu una plataforma de monitoreig mediambiental basada en la inhibició de l’enzim acetilcolinesterasa. El sistema desenvolupat utilitza partícules magnètiques i l’enzim acetilcolinesterasa sobre elèctrodes de diamant dopats amb Bor. Gràcies a l’ús de partícules magnètiques i a les característiques de la superfície de l’elèctrode, aquesta plataforma és utilitzada com a sistema multi ús amb una alta reproducibilitat que és capaç de mesurar el pesticida chlorpyrifos en mostres reals d’aigua de riu (riu Yokoama, Japó).
Al capítol 4 s’explica el desenvolupament de d’un sistema de detecció simultània de contaminants, el catecol (un derivat fenòlic) i el chlorpyrifos (un pesticida del grup dels organofosfats). Aquesta detecció s’aconsegueix utilitzant elèctrodes serigrafiats de carboni (screen printed carbon electrodes, SPCE) modificats amb nanopartícules d’òxid d’Iridi i amb tirosinasa. El biosensor proposat millora la sensibilitat en la detecció del catecol si es compara amb altres biosensors ja descrits en la bibliografia. Aquest biosensor mostra també una elevada sensibilitat en la detecció de chlorpyrifos quan s’utilitza el mode d’operació d’inhibició de la tirosinasa. Finalment, s’ha explorat l’eficiència del biosensor per aplicacions reals en aigua de riu i aigua de l’aixeta mostrant grans possibilitats per futures aplicacions com a plataforma de baix cost.
El tercer biosensor desenvolupat s’explica al capítol 5. En aquest capítol es proposa un sistema de biosensors sense enzims basat en nanopartícules d’òxid de coure (CuO) per la detecció de components fenòlics i d’un herbicida altament tòxic, el Diuron. La detecció es fa mitjançant SPCE on les nanopartícules de CuO formen un complex estable amb els components fenòlics que es mesuren a partir de la reacció electroquímica que té lloc a la superfície de l’elèctrode. Val a dir que és una de les primeres aplicacions que s’utilitzen pel monitoreig mediambiental mitjançant l’ús de nanopartícules de CuO. Aquestes nanopartícules mimetitzen el centre actiu de la tirosinasa obtenint resultats comparables a altres plataformes enzimàtiques. Aquesta plataforma analítica pot ser utilitzada en aplicacions amb mostres reals donat que el límit de detecció obtingut es troba en els nivells que demana el monitoreig establerts per la legislació vigent.Environmental monitoring based on biosensing systems has increased its relevance not only in the research field but also in the real industrial application. This is due to the advantages of such analytical platforms especially their simplicity and their cost/efficiency. Moreover, the recent advances in nanoscience and nanotechnology increase the emerging of new nanomaterials which have interesting electrical properties such as their capacity to improve the electrode conductivity. This has a particular interest in the development of electrochemical biosensing systems. The combination of nanomaterials with electrochemical biosensing platforms can build up powerful analytical tools for the environmental monitoring. This represents the main objective of this PhD Thesis, that divided in six chapters describes the development and application of three new biosensing platforms for environmental monitoring using nanomaterials. The first chapter of the thesis gives a general introduction on environmental monitoring of pollutants and offers a brief description and classification of these compounds. This chapter also gives an overview of the relevance of the use of nanomaterials in biosensing systems for environmental monitoring with a detailed review of the last published works describing also their innovation aspects and also the possible drawbacks. In Chapter 3 the biosensing platform for environmental monitoring based on the inhibition of acetylcholinesterase is described. The developed system uses magnetic beads and acetylcholinesterase enzyme over Boron Doped Diamond Electrode. Moreover, through the use of magnetic beads and the surface characteristics of the electrode, this platform is used as multi use system with high reproducibility able also to measure the pesticide chlorpyrifos in real sample (Yokoama river, Japan). In Chapter 4 a simultaneous detection system of pollutants for catechol (a phenol derivative) and chlorpyrifos (an organophosphate pesticide), is developed. Such sensing is achieved through a SPCE modified with IrOx NPs and tyrosinase. The proposed biosensor reports improvement in the sensitivity for catechol compared to previously reported biosensors. This biosensor shows also a high sensitivity for chlorpyrifos while being used in a tyrosinase inhibition mode operation. Finally the efficiency of this biosensor is explored for real applications in river and tap water showing great possibilities for future application as a low cost platform. In Chapter 5 a free enzymatic bio-sensing system based on CuO nanoparticles for detection of phenols compounds and for a high toxic herbicide (Diuron) is proposed. Such sensing is achieved through a SPCE where CuO NPs create a stable complex with phenolic compounds that are measured through electrochemical reaction at electrode surface. Moreover it is one of the first applications using CuO NPs for environmental monitoring. CuO NPs have the function to mimic the active centre of tyrosinase obtaining results comparable with other enzymatic platforms. This analytical platform can be used for real sample applications due to the fact that the detection limit is within the requested levels of monitoring established by the legislation. Annex A shows a very interesting review over the biosensing systems inenvironmental monitoring using nanomaterials. This review was published in a very high impact factor journal (Chemical Review Impact factor of 46.658).
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Williams, Iwan Gwyn. "Hand-held instrumentation for environmental monitoring". Thesis, Bangor University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262544.
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Chang, Seung Cheol. "Disposable amperometric sensors for environmental monitoring". Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310134.
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Gong, Weidong. "Ocean sensors, for marine environmental monitoring". Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/143801/.
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Various sensors and instruments were developed to measure the chemical and physical properties of sea water, but many are expensive and too large to be used on mass deployed vehicles such as the Argo float and submersed gliders. Marine mammal and fish tags require further sensor miniaturisation. This thesis describes the development of new in-situ micro sensor technology for marine environmental monitoring. Nitrite and nitrate are two forms of dissolved inorganic nitrogen in sea water and their availability is a key factor in the regulation of primary productivity in the sea. The in-situ determination of nitrite and nitrate in sea water presents a significant analytical challenge. In this thesis, a simple, low cost double beam spectrophotometer for use in a nitrite sensor for sea water analysis is presented. The sensor uses a colorimetric method to determinate nitrite concentration in sea water, based on Greiss reaction that forms as Azo dye whose absorbance is measured at a wave length of 540nm. The design incorporates a green LED and integrated photo-detectors to make the nitrite sensor compact, with low-cost and low-power consumption. A Conductivity, Temperature, Depth (CTD) sensor is the primary tool for determining the physical properties of sea water. A new CT (Conductivity and Temperature) micro sensor is presented in this thesis. The temperature sensor uses a thermistor, and the conductivity sensor uses a novel design of four planar electrodes built in an insulated channel. Conductivity sensors built of planar electrodes can be easily mass-produced on PCB boards, thus significantly reducing cost. This thesis includes the background of the measurement of conductivity, temperature and nitrite concentration in sea water. It also presents a comprehensive analysis of conductivity cells with two, four and five electrodes, together with the detailed multi-sensor interface design. The design and construction of the prototype sensors are described in detail, the key issues and test results are also presented.
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Dickerson, David Stanley. "Particulate monitoring in environmental pollution assessment". Thesis, University of Bristol, 2004. http://hdl.handle.net/1983/a66c8b21-c61f-4da7-bca8-5bd7547198b3.
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Li, Zhuo. "ARDUINO BASED ENVIRONMENTAL AIR MONITORING SYSTEM". Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1499093616376284.
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Gono, Charles Saye. "Environmental surveillance monitoring XYZ-La Crosse". Online version, 2001. http://www.uwstout.edu/lib/thesis/2001/2001gonoc.pdf.
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Jacquemai, Ivo. "Acoustic wireless sensing for environmental monitoring". Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2011. https://ro.ecu.edu.au/theses/395.
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The European House Borer (EHB) is a timber pest which attacks dead timber. This pest can cause large scale damage to wooden structures and has already spread throughout many parts of the world. The larvae usually remains undetected for many years while it busily inflicts irrevocable and substantial harm to the timber. Since the pest was first discovered in Western Australia in 2004 the Government has endeavoured to extinguish its existence. In this research, an electronic sensor has been developed in order to detect the presence of EHB larvae in timber. Only an accurate detection can allow for selective treatment, which is required in order to eliminate the pest. In the past no reliable detection methods were available. However, with the developed acoustic sensing device, non-destructive and reliable detection of EHB is now possible. The developed handheld device is capable of analysing the acoustic emissions from a timber structure which allows for determining whether or not EHB is present in its vicinity. Depending on the level of the infestation, the detection can take as little as a few seconds. The tests, which have been carried out on infested timber beams in a secured laboratory, show a reliable detection of the larvae over a distance of several metres. The research discusses the challenges encountered throughout the development of the acoustic sensor and the limitations of the technology. Also presented are other potential applications for the device and areas which require further research in order to improve the efficiency of the sensor.
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Mokhtary, Mandana. "Sensor Observation Service for Environmental Monitoring Data". Thesis, KTH, Geodesi och geoinformatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-95830.
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The Swedish Environmental Protection Agency (Naturvårdsverket) is the public agency in Sweden with responsibility to overview the conditions of the environment and the policies related to the environmental monitoring data. Nowadays, observation data are stored in several different data models in this organization, leading to difficulties in finding, understanding and consequently using data in terms of analysis and management of environmental issues. One common model that uniformly structures observation data could largely make it easier for decision makers to find the required information. The aim of this study is to build an interoperable data model for environmental monitoring observation in Naturvårdsverket based on OGC-SWE standard formats. The proposed solution relies on Sensor Web architecture, which is the set of data model definitions andweb service specifications. Also, this methodology is based on open source components; therefore it is cost-effective for the users. The Service Oriented Architecture (SOA) is used to create a uniform model by using communication protocols such as Extensible Markup Language (XML) and Simple Object Access Protocol (SOAP). The primary findings of the thesis is that when the observation is encoded into the standard format from the beginning, then it is easier to parse these documents and find the required information for the end users without knowing how these information are gathered and stored. The client scan send a request to the Sensor Observation Service (SOS) and receive the observation that is structured based on Observation and Measurements (O&M).
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Dhu, Tania. "Environmental monitoring using electrical resistance tomography (ERT) /". Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09SB/09sbd534.pdf.
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ramezaniakhmareh, alireza. "Autonomous environmental monitoring probe for aquaculture sites". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20733.
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This project aims to develop an instrument that is capable of moving vertically in a controlled manner along a taut string from the sea surface to a predetermined depth while measuring pertinent seawater parameters. The main focus will be to specify, design and implement an embedded computer system that realizes the instrument.
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Metcalfe, Michelle J. "Monitoring environmental features using leaf stomatal characteristics". Thesis, Durham University, 1997. http://etheses.dur.ac.uk/4698/.
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It is recognised that atmospheric CO(_2) concentrations are increasing, with concerns raised as to the global impact continued rises may have. Plant stomatal parameters have been suggested as a means of monitoring changing CO(_2) levels. In order to assess their suitability for use, a thorough examination of leaf characteristics within a variety of surroundings was undertaken. Environments examined included both natural variations in CO(_2), which incorporated a variety of environmental influences and artificially enhanced ones where it was possible to monitor specific responses to variable CO(_2) levels. A short term study of Ranunculus ficaria, Sambucus nigra and Hedera helix revealed considerable variation in stomatal parameters, with inconsistent responses observed between and within species. These variations could not be attributed to CO(_2) changes and were assigned to a combination of other factors. R. ficaria grown in an artificial environment at ambient and elevated CO(_2) produced significant and consistent changes in stomatal parameters. Stomatal density and index were found to be reduced at elevated CO(_2) concentrations, with a decrease in guard cell dimensions. Salix herbacea, growing along a naturally reduced CO(_2) partial pressure gradient further highlighted the extent of variation in stomatal parameters in extant material within a species. No consistent stomatal trends associated with changing CO(_2) levels were observed. This inherent variation must be considered before any conclusions can be made regarding stomatal parameters obtained from fossil material. The novel application of molecular biology techniques to identify S. herbacea leaves was partially successful. However, identification of leaf macrofossils was not possible, due to the inferior preservation of DNA. However, the technique will provide a useful tool for identification if suitably preserved macrofossil fragments were available. S. herbacea leaf macrofossils revealed no consistent correlation to past changes in CO(_2) levels. The use of as an additional tool with which to monitor environmental change once again showed variation, and was not associated closely with changes in CO(_2) levels or stomatal parameters. In light of this work it would appear that the use of stomatal parameters is of limited value as a model to monitor environmental change, in the absence of information concerning other variables, and as such must be treated with caution.
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Schmidt, Alexandra Mello. "Bayesian spatial interpolation of environmental monitoring stations". Thesis, University of Sheffield, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370075.
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Sung, Yoonchang. "Multi-Robot Coordination for Hazardous Environmental Monitoring". Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/95057.
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In this thesis, we propose algorithms designed for monitoring hazardous agents. Because hazardous environmental monitoring is either tedious or dangerous for human operators, we seek a fully automated robotic system that can help humans. However, there are still many challenges from hardware design to algorithm design that restrict robots to be applied to practical applications. Among these challenges, we are particularly interested in dealing with algorithmic challenges primarily caused by sensing and communication limitations of robots. We develop algorithms with provable guarantees that map and track hazards using a team of robots.
Our contributions are as follows. First, we address a situation where the number of hazardous agents is unknown and varies over time. We propose a search and tracking framework that can extract individual target tracks as well as estimate the number and the spatial density of targets. Second, we consider a team of robots tracking individual targets under limited bandwidth. We develop distributed algorithms that can find solutions in bounded amount of time. Third, we propose an algorithm for aerial robots that explores a translating hazardous plume of unknown size and shape. We present a recursive depth-first search-based algorithm that yields a constant competitive ratio for exploring a translating plume. Last, we take into account a heterogeneous team of robots to map and sample a translating plume. These contributions can be applied to a team of aerial robots and a robotic boat monitoring and sampling a translating hazardous plume over a lake. In this application, the aerial robots coordinate with each other to explore the plume and to inform the robotic boat while the robotic boat collects water samples for offline analysis. We demonstrate the performance of our algorithms through simulations and proof-of-concept field experiments for real-world environmental monitoring.Doctor of Philosophy
Quick response to hazards is crucial as the hazards may put humans at risk and thorough removal of hazards may take a substantial amount of time. Our vision is that the introduction of a robotic solution would be beneficial for hazardous environmental monitoring. Not only the fact that humans can be released from dangerous or tedious tasks, but we also can take advantage of the robot's agile maneuverability and its precise sensing. However, the development on both hardware and software is not yet ripe to be able to deploy autonomous robots in real-world scenarios. Moreover, partial and uncertain information of hazards impose further challenges. In this these, we present various research problems addressing these challenges in hazardous environmental monitoring. Particularly, we are interested in overcoming challenges from the perspective of software by designing planning and decision-making algorithms for robots. We validate our proposed algorithms through extensive simulations and real-world experiments.
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ILIE, Ana Maria Carmen. "Smart Sensor Technology for Environmental Monitoring Applications". Doctoral thesis, Università degli studi di Ferrara, 2018. http://hdl.handle.net/11392/2487882.
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Research Project focused on developing innovative devices using the low-cost sensors to obtain the concentrations of greenhouse gases (GHGs) such as carbon dioxide (CO2) and methane (CH4) as well as obtain a good water quality as a 2nd treatment in the Wastewater Treatment Plant. In addition to sensor calibration, the multi-parameter monitor prototype were tested in several contexts: a) Laboratory scale with natural soil columns, to figure out the sensor response under controlled conditions, calibration and validation; b) Field scale in many geological contexts, for Air-Soil quality (methane and carbon dioxide measurements): Natural Gas Storage Site in Minerbio, Italy; Drilling and Hydraulic Fracturing activities in Greeley, CO, USA; for Water Quality: Wastewater Treatment Plant in Algarve, Portugal. The monitoring system provided a huge set of data for which can be used statistical analysis, management and processing (Big DATA). The source identification of greenhouse gas emissions is identified in several IPCC reports that climate change is the major emergency for the socio / economic / environmental equilibrium of Earth planet. No outliers were identified as methane gas concentrations at Minerbio gas storage site, Italy and at Hydraulic activities in Greeley, Colorado. The soil column experiments for infiltration basins in the Wastewater treatment plant in Algarve, Portugal, gave us good results, the water quality was improved after the 2nd treatment. The low-cost sensors (gas – water) gave as a good calibration and validation with r2 coefficient of correlation of 0.70 – 0.96.Il progetto di ricerca si è concentrato sullo sviluppo di dispositivi innovativi utilizzando i sensori a basso costo per ottenere le concentrazioni di gas (GHG) quali anidride carbonica (CO2) e metano (CH4) e ottenere una buona qualità dell'acqua come secondo trattamento nelle acque reflue nell’impianto di trattamento. Oltre alla calibrazione del sensore, il prototipo di monitoraggio multiparametro è stato testato in diversi contesti: a) Nel laboratorio con colonne di terreno naturali, suoli, per determinare la risposta del sensore in condizioni controllate, calibrazione e validazione; b) Scala di campo in molti contesti geologici, per la qualità Aria-suolo (misure di metano e anidride carbonica, radon) nel sito di stoccaggio di gas naturale a Minerbio, Italia; Attività di perforazione e fratturazione idraulica in Greeley, Colorado, USA; per la qualità dell'acqua: impianto di trattamento delle acque reflue in Algarve, Portogallo. Il sistema di monitoraggio ha fornito un enorme set di dati per i quali è stato possibile utilizzare analisi statistiche, gestione ed elaborazione (Big DATA). L'identificazione della fonte delle emissioni di gas è stata identificata in diversi rapporti dell'IPCC secondo cui i cambiamenti climatici rappresentano l'emergenza principale per l'equilibrio socio / economico / ambientale del pianeta Terra. Non sono stati identificati valori anomali come concentrazioni di gas metano nel sito di stoccaggio di Minerbio (Italia) e nelle attività di perforazione in Greeley, Colorado, USA. Gli esperimenti con la colonna di terreno per i bacini di infiltrazione nell'impianto di trattamento delle acque reflue in Algarve, in Portogallo, ci hanno dato buoni risultati, la qualità dell'acqua è stata migliorata dopo il 2 ° trattamento. I sensori a basso costo (gas - acqua) per la qualita’ dell’aria e del suolo, hanno fornito una buona calibrazione e validazione con coefficiente di correlazione r2 di 0,70 - 0,96.
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Hudson, Carmen Campos 1972. "Overview of monitoring systems used during construction and permanent structural monitoring". Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/84792.
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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.Includes bibliographical references (leaves 94-95).
by Carmen Campos Hudson.
M.Eng.
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Mikkelsen, Jannick, i Larsson Anton. "Automatic monitoring of bins". Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42986.
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When a pile of scrap at Stena recycling has reached the maximum height, the loader operators need to drive around the facility to check whether or not the pile has to be emptied. This causes a lot of unnecessary driving, resolving in wear to the loaders and loss of time, but mostly the unnecessary use of diesel. In this paper different sensors is evaluated and tested against each other to find a system that can measure the volume of the pile. The sensors used is IFM O3D303 and the Kinect V1 sensor. These sensors are then used with two different volume calculation software, CloudCompare and 3DF Zephyr. The goal of the project is to get a system that can get a volume with an accuracy within 2.5 % of the actual volume. If a volume can be calculated from the scrap piles, then it is also possible to know when the pile should be cleared. Since the facility is a recycling plant, there is a lot of metal dust that is gathering in the indoor part of the facility. The sensors being used, should be able to work in this environment. To do that the sensor needs to have an IP certification higher than IP 55. The distance of measuring the pile can be more than 10 m, so the sensors should also be able to handle this requirement. From the sensors a point cloud and a mesh were captured, two data formats that contain information of where every point on the object is located in a three-dimensional space. Every system needs to be calibrated to suit the specific application. The results show that, even with a basic sensor such as the Kinect V1, an accurate volume of a scrap pile could, with calibration, be calculated. However, the cheap sensor does have limits, unlike the IFM which can cope with all the requirements. This report shows how the two sensors compare to each other and how the different software, combined with the sensors, can be used to calculate a volume of a pile of scrap.
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Hall, Geoffrey G. "Remote environmental sensor array system". Thesis, Kingston, Ont. : [s.n.], 2007. http://hdl.handle.net/1974/943.
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Holstius, David. "Monitoring Particulate Matter with Commodity Hardware". Thesis, University of California, Berkeley, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3640465.
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Health effects attributed to outdoor fine particulate matter (PM 2.5) rank it among the risk factors with the highest health burdens in the world, annually accounting for over 3.2 million premature deaths and over 76 million lost disability-adjusted life years. Existing PM2.5 monitoring infrastructure cannot, however, be used to resolve variations in ambient PM2.5 concentrations with adequate spatial and temporal density, or with adequate coverage of human time-activity patterns, such that the needs of modern exposure science and control can be met. Small, inexpensive, and portable devices, relying on newly available off-the-shelf sensors, may facilitate the creation of PM2.5 datasets with improved resolution and coverage, especially if many such devices can be deployed concurrently with low system cost.
Datasets generated with such technology could be used to overcome many important problems associated with exposure misclassification in air pollution epidemiology. Chapter 2 presents an epidemiological study of PM2.5 that used data from ambient monitoring stations in the Los Angeles basin to observe a decrease of 6.1 g (95% CI: 3.5, 8.7) in population mean birthweight following in utero exposure to the Southern California wildfires of 2003, but was otherwise limited by the sparsity of the empirical basis for exposure assessment. Chapter 3 demonstrates technical potential for remedying PM2.5 monitoring deficiencies, beginning with the generation of low-cost yet useful estimates of hourly and daily PM2.5 concentrations at a regulatory monitoring site. The context (an urban neighborhood proximate to a major goods-movement corridor) and the method (an off-the-shelf sensor costing approximately USD $10, combined with other low-cost, open-source, readily available hardware) were selected to have special significance among researchers and practitioners affiliated with contemporary communities of practice in public health and citizen science. As operationalized by correlation with 1h data from a Federal Equivalent Method (FEM) β-attenuation data, prototype instruments performed as well as commercially available equipment costing considerably more, and as well as another reference instrument under similar conditions at the same timescale (R2 = 0.6). Correlations were stronger when 24 h integrating times were used instead (R2 = 0.72).
Chapter 4 replicates and extends the results of Chapter 3, showing that similar calibrations may be reasonably exchangeable between near-roadway and background monitoring sites. Chapter 4 also employs triplicate sensors to obtain data consistent with near-field (< 50 m) observations of plumes from a major highway (I-880). At 1 minute timescales, maximum PM2.5 concentrations on the order of 100 μg m–3 to 200 μg m–3 were observed, commensurate with the magnitude of plumes from wildfires on longer timescales, as well as the magnitude of plumes that might be expected near other major highways on the same timescale. Finally, Chapter 4 quantifies variance among calibration parameters for a large sample of the sensors, as well as the error associated with the remote transfer of calibrations between two sufficiently large sets (± 10 % for n = 12). These findings suggest that datasets generated with similar sensors could also improve upstream scientific understandings of fluxes resulting from indoor and outdoor emissions, atmospheric transformations, and transport, and may also facilitate timely and empirical verification of interventions to reduce emissions and exposures, in many important contexts (e.g., the provision of improved cookstoves; congestion pricing; mitigation policies attached to infill development; etc.). They also demonstrate that calibrations against continuous reference monitoring equipment could be remotely transferred, within practical tolerances, to reasonably sized and adequately resourced participatory monitoring campaigns, with minimal risk of disruption to existing monitoring infrastructure (i.e., established monitoring sites). Given a collaborator with a short window of access to a reference monitoring site, this would overcome a nominally important barrier associated with non-gravimetric, in-situ calibration of continuous PM2.5 monitors. Progressive and disruptive prospects linked to a proliferation of comparable sensing technologies based on commodity hardware are discussed in Chapter 5.
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Grubinger, Michael, i Felix Strohmeier. "AUTONOMOUS ACQUISITION OF ENVIRONMENTAL DATA IN A GLOBAL NETWORK ENVIRONMENT". International Foundation for Telemetering, 2001. http://hdl.handle.net/10150/607597.
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International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, NevadaThis paper presents the results of a feasibility study undertaken by the University of Salzburg (Austria), investigating the autonomous acquisition of environmental data in a global network. A suggested application which is used as the basis of this paper is a volcano monitoring system which would be able to track the activity of a volcano and act as a disaster warning system. The background Volcano observation data required for such a system is covered, before discussing the concepts for sensor data acquisition, storage and processing. A final analysis is then presented of the opportunities for the transmission by packet radio (both terrestrial and satellite).
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Rodríguez-Navas, González Carlos. "Exploiting novel automated analytical methodologies for the monitoring of environmental organic pollutants, and its potential incorporation to environmental monitoring regulations". Doctoral thesis, Universitat de les Illes Balears, 2012. http://hdl.handle.net/10803/98297.
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Se han desarrollado métodos analíticos basados en cromatografía y detección por espectrometría de masas para la detección de múltiples compuestos orgánicos a niveles traza en muestras de interés ambiental. Se han determinado compuestos volátiles en aire atmosférico de Mallorca y varias plantas de tratamiento de residuos y vertederos, y fármacos de consumo humano en muestras del medioambiente acuático de Mallorca, plantas de tratamiento de aguas y lixiviados de vertederos. Con estos datos se ha evaluado la necesidad de modificar los planes de vigilancia ambiental para asegurar la calidad del medioambiente de Mallorca.We have developed analytical methodologies based on chromatography and mass spectrometry for the detection of multiple different organic compounds in the trace levels in samples of environmental interest. Volatile organic compounds have been determined in the atmospheric air of Mallorca as well as some waste treatment plants and landfills. Pharmaceuticals for human consumption have been investigated in several samples of the aquatic environment of Mallorca as well as some wastewater treatment plants and landfill leachates. Based on these data it has been evaluated the necessity to modify the environmental monitoring regulations to save the quality of the Mallorca’s environment.
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Watier, Caroline. "Environmental Monitoring at Swedish Research Stations in Antarctica". Thesis, KTH, Industriell ekologi, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-32825.
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Establishing and implementing a long-term environmental monitoring programme in PolarRegions is both a complex and multidisciplinary field which requires participation andinvolvement of a great number of specialists on diverse and varied topics.The Swedish Polar Research Secretariat, responsible to promote and coordinate polarresearch, has always had the ambition to protect the Antarctic’s environment and theassociated and dependent ecosystems. In accordance with the Protocol on environmentalprotection in Antarctica, the secretariat has implemented an environmental monitoringprogramme since the beginning of the 1990’s. However, the output is not fullycomprehensive: on the one hand, it has provided necessary information on the understandingof the area and permitted to take mitigation measures, on the other hand, sporadic measuresand inappropriate data management system has left gaps in the environmental knowledge ofthe area.That is why, within the International Polar Year framework, the secretariat has decided toimplement a complete long-term environmental monitoring programme to not only evaluateimpacts from anthropogenic activities around the Swedish polar stations Wasa and Svea butalso to estimate their trend.The success of such programme depends on several key elements: feasible and clearly definedobjectives, a standardized sampling programme and an efficient data management system.Moreover, this programme should be strongly linked with the decision-making process andinternational cooperation would make this programme even more valuable.As science advancement continues, the need to protect the Antarctic’s environment becomemore and more obvious, indeed, we know that this continent maybe keeps in its ice answers totomorrow’s environmental questions.Att genomföra ett miljöövervakningsprogram i polarområdena är en komplex disciplin sombehöver medverkan och engagemeng av ett stort antal specialister inom många ämnen.Polarforskningssekretariatet är en myndighet som har till uppgift att främja och samordnasvensk polarforskning. Sekretariatet har alltid haft en hög ambitionsnivå för att beskydda ochbevara miljön i Antarktis och i dess sammanhängande ekosystem. I överensstämmelse medMadridprotokollet beträffande miljöskyddet i Antarktis, har sekretariatet infört ettmiljöövervakningsprogram i början av 1990-talet. Emellertid är programmet som det ärutformat idag inte helt opitmalt: å ena sidan har programmet försett miljöansvariga mednödvändig bakgrundsinformation för att förbättra förståelsen av området och gett möjlighetatt vidta skyddande åtgärder för miljön de svenska polar stationerna Wasa och Svea. Å andrasidan har de tillfälliga provtagningarna i kombination med ett svagt system för att bearbetatidigare data orsakat luckor i kunskaperna kring miljön i lokalområdet. Det är darför sekretariatet har bestämt sig för att ta fram och införa ett mer omfattandemiljöövervakningsprogram som kan användas till att både utvärdera effekterna från demänskliga aktiviteterna runt omkring de svenska forskningsstationerna, och förutsägatendenser kring miljötillståndet.Förutsättningarna för att det nya miljöprogrammet ska få önskat utfall är att det harväldefinierade målsättningar, standardiserade provtagningsmetoder och ett effektivtdatabehandlingssystem. Dessutom behöver programmet införlivas ibeslutsfattandesprocessen. Dessutom, internationellt samarbete med stationer i områdetkommer att göra programmet mer värdefullt.Allteftersom forskningen gör framsteg och projekten i Antarktis blir fler och samtidgt meravancerade, så blir behovet för att beskydda Antarktismiljö mer och mer påtagligt. Vi vet att iAntarktis is kan det finnas svar på flera av framtidens miljöfrågor.
Établir un monitoring environnemental à long terme dans un environnement polaire est unediscipline à la fois complexe et transversale qui demande la participation et l’implication d’ungrand nombre de spécialistes dans des domaines divers et variés.Le Secrétariat de Recherche Polaire Suédois, responsable de la promotion et de lacoordination de la recherche dans les régions polaires a toujours eu la volonté de protégerl’environnement en Antarctique ainsi que les écosystèmes associés et dépendants. En accordavec le Protocole de Madrid relatif à la protection de l’environnement en Antarctique, lesecrétariat a mis en oeuvre un monitoring environnemental autour de ses stations de rechercheWasa et Svea dès le début des années 1990. Cependant, le bilan de ce programme est plutôtcontrasté ; d’un coté, il a fourni les informations nécessaires à la compréhension du milieu eta permis de prendre les mesures indispensables à sa préservation. D’un autre coté, leséchantillonnages et mesures sporadiques et un système de management des donnéesinapproprié laissent subsister des inconnus dans la perception environnementale de la région.C’est pourquoi, profitant de l’année polaire internationale, le secrétariat à décider d’établir unmonitoring environnemental sur le long terme permettant non seulement d’évaluerconcrètement les impacts d’origine anthropogénique autour des stations de recherche suédoisemais aussi d’en prévoir la tendance.La réussite d’un tel programme repose sur quelques éléments clés : des objectifs réalisables etclairement définis, des méthodes d’échantillonnages standardisées et un système demanagement des données efficace. De plus, pour être efficace, le monitoring environnementaldoit être en étroite relation avec le système de prise de décision dans l’organisme. Enfin, cemonitoring environnemental ne pourra qu’être valorisé par une collaboration internationale.Au fur et à mesure des progrès de la science, il apparait de plus en plus évident de protégerl’Antarctique qui garde probablement dans ses glaces les réponses aux questionsenvironnementales d’aujourd’hui et de demain.
www.ima.kth.se
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Suzuki, Takeharu, i n/a. "Integrated, Intelligent Sensor Fabrication Strategies for Environmental Monitoring". Griffith University. School of Microelectronic Engineering, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040813.131206.
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The humidity, temperature, wind speed/direction micro sensors can be manufactured individually, resulting in three individual substrates. The integration of the three sensors into a single substrate is a vital challenge to achieve an integrated intelligent sensor so called a multiple sensor. This requires the integration of process flows and is a major challenge because adequate sensor performance must be maintained. Polyimide was selected as a humidity sensing material for its compatibility with conventional integrated circuit fabrication technology, negligible temperature dependence and good resistance against contamination. Nickel was selected for the temperature and wind speed/direction sensor because of its useful temperature coefficient and the advantage of its cost. Since the known wet etchant for nickel requires hard-baked photoresist, a method which does not attack the polyimide while removing the photoresist must be developed. The method developed for etching nickel employs hard-bake-free photoresist. Other challenge was ensuring good thermal isolation for the wind speed/direction sensor fabricated on a silicon nitride layer preformed on top of a silicon wafer. Since silicon acts as a good heat sink, the silicon under the sensor was etched entirely away until the silicon nitride layer was reached. This structure achieved good thermal isolation resulting in small power consumption. This low power feature is essential for sensors deployed in fields where power access or replacement of power sources is restricted. This structure was compared with the structure created by polyimide plateau on a silicon nitride layer coated on a silicon substrate as a function of power consumption. Based on the examination of thermal isolation, the multiple sensor utilizing a MEMS technique was fabricated with a single-sided mask aligner. The characteristics of humidity sensors fabricated with polyimide were examined in detail with respect to variations of electrode structures, improvement of sensitivity, effect of process temperature, temperature and frequency dependence, and stability. The humidity sensor constructed with O2 plasma treated polyimide resulted an improvement in sensitivity and hysteresis. The investigation using XPS, FTIR and AFM concluded the chemical modification of polyimide played an important role in this improvement. The design, fabrication and results of a series of humidity sensors are quantified. There is always no unique packaging solution for sensors because of the application-specific nature of the sensors. This intelligent environmental monitoring system was designed to accommodate both an environmental sensor and its signal conditioning electronics circuitry (SICONEC) into a single package. The environmental sensors need direct exposure to the environment while SICONEC needs a sealed encapsulation to avoid environmental damage. A new style of packaging addressing these requirements was demonstrated using a hot embossing machine. The hot embossing machine was used to embed an integrated circuit (IC) in a bare die condition into a polycarbonate (PC) sheet. In this case, the IC was flipped down against the PC, which protects the front side of the IC from the environmental damages. In a test phase, a die containing operational amplifiers was embossed into the PC. A humidity sensor and surface mount resisters were placed on the same surface of the PC to test the validity of this new technique. Interconnection between the embossed die and the humidity sensor was established using bonding wires. Copper tracks were also used to ensure all electrical connections for the die, the humidity sensor and the resistors. The results clarified the method developed. Details of process methods, issues and further potential improvement are reported.
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Truax, Stuart. "A microscale chemical sensor platform for environmental monitoring". Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/45780.
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The objective of this research is to apply micromachined silicon-based resonant
gravimetric sensors to the detection of gas-phase volatile organic compounds (VOCs). This
is done in two primary tasks: 1) the optimization and application of silicon disk resonators
to the detection of gas-phase VOCs, and 2) the development and application of a novel
gravimetric-capacitive multisensor platform for the detection of gas-phase VOCs.
In the rst task, the design and fabrication of a silicon-based disk resonator structure
utilizing an in-plane resonance mode is undertaken. The resonance characteristics of the
disk resonator are characterized and optimized. The optimized characteristics include the
resonator Q-factor as a function of geometric parameters, and the dynamic displacement
of the in-plane resonance mode. The Q-factors of the disk resonators range from 2600 to
4360 at atmosphere for disk silicon thicknesses from 7 µm to 18 µm, respectively.
The resonance frequency of the in-plane resonance mode ranges from 260 kHz up to 750 kHz.
The disk resonators are applied to the sensing of gas-phase VOCs using (poly)isobutylene
as a sensitive layer. Limits of detection for benzene, toluene and m-xylene vapors of 5.3
ppm, 1.2 ppm, and 0.6 ppm are respectively obtained. Finally, models for the limits of
detection and chemical sensitivity of the resonator structures are developed for the case of
the polymer layers used.
In the second task, a silicon-based resonator is combined with a capacitive structure
to produce a multisensor structure for the sensing of gas-phase VOCs. Fabrication of the
multisensor structure is undertaken, and the sensor is theoretically modeled. The baseline
capacitance of the capacitor component of the multisensor is estimated to be 170 fF. Finally,
initial VOC detection results for the capacitive aspect of the sensor are obtained.
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Schädle, Thomas [Verfasser]. "Mid-infrared sensors for environmental monitoring / Thomas Schädle". Ulm : Universität Ulm, 2017. http://d-nb.info/1124067841/34.
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Osterloff, Jonas [Verfasser]. "Computer Vision for Marine Environmental Monitoring / Jonas Osterloff". Bielefeld : Universitätsbibliothek Bielefeld, 2018. http://d-nb.info/1169314678/34.
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Wright, Philip. "Extending the scope of unattended environmental noise monitoring". Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320714.
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BARBOSA, PAULO CESAR DE CAMPOS. "APPLICATIONS OF LASER INDUCED FLUORESCENCE TO ENVIRONMENTAL MONITORING". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4041@1.
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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIORA tomada de consciência dos riscos ambientais em escala global e o desenvolvimento científico e tecnológico têm incrementado a demanda pelo sensoriamento das condições ambientais marítimas. A distribuição da população do fitoplâncton é o indicador mais utilizado para avaliar a qualidade e a biomassa de ambientes marinhos. Uma característica diferencial do fitoplâncton é a presença da clorofila a, que apresenta fluorescência in vivo na região do vermelho do espectro visível, e que permite o uso de técnicas de sensoriamento remoto para sua detecção. Um radar-laser baseado na detecção da fluorescência do alvo é mais comumente denominado LIF-LIDAR (Laser Induced Fluorescence - LIght Detection And Ranging) e se constitui em uma ferramenta útil para o monitoramento da distribuição de clorofila a nos oceanos, principalmente quando se utiliza uma radiação laser na faixa de comprimento de onda associada à cor verde. O LIDAR-PUC, cuja fonte de excitação é o 2º harmônico de um laser de Nd-YAG, foi ajustado para a detecção e discriminação espectral de emissões inelásticas decorrentes da excitação a 532nm; em especial, a fluorescência da clorofila a. Nesta tese foram desenvolvidos algoritmos para a extração de parâmetros de interesse ambiental, em especial a concentração relativa da clorofila a. Estas metodologias foram testadas quanto a sua repetitividade, linearidade e aplicabilidade em ambiente real. Finalmente, os valores calculados foram analisados em conjunto, indicando sua utilidade para o monitoramento efetivo de ambientes marinhos.
Global scale environmental risks and scientific and technological development have increased demands on marine environment monitoring. Phytoplankton distribution is the most frequently used marker employed to assess biomass in marine environment. Analysis of chlorophyll-a plays a central role on phytoplankton studies once this pigment, present in every phytoplankton algae species, exhibits fluorescence in the red region of visible spectrum, thus allowing its detection by remote sensing techniques. A radar-laser based on fluorescence detection, usually called a LIF-LIDAR (Laser Induced Fluorescence - LIght Detection And Ranging), is a valuable tool for monitoring chlorophyll-a distribution in ocean waters, especially when green light lasers are employed. LIDAR-PUC was settled to function with its second harmonic Nd-YAG laser as excitation source. The equipment was adjusted for detection and spectral discrimination of inelastic emissions resulting from excitation at 532nm, with special attention to chlorophyll a fluorescence. In this study, algorithms were developed for the extraction of environmental parameters such as relative chlorophyll a concentration. These algorithms were analyzed regarding the following aspects: repeatability, linearity and applicability to the real world. Finally, ensembles were analyzed, pointing to their usefulness for effective marine environment monitoring.
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Middleton, Daniel. "Environmental monitoring and biomonitoring of human arsenic exposure". Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/environmental-monitoring-and-biomonitoring-of-human-arsenic-exposure(69720732-41f2-48c3-9c4c-f3752e0bb6b0).html.
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This study investigated human exposure to inorganic arsenic (As), a risk factor for cancer and non-cancerous health effects, in Cornwall, UK - a region of elevated environmental As resulting from naturally occurring mineralisation and historical mining. Recent exposures to As from private water supplies (PWS) were detected by measuring As in drinking water samples (n=127) and urine samples (n=207). Exceedances of the WHO 10 As µg L-1 guidance value were measured in drinking waters from 5 % of households. The Spearman correlation calculated for drinking water versus unadjusted total urinary As concentrations was 0.36. Urinary As speciation was used to distinguish between environmental inorganic As exposure and non-toxic dietary sources. Seafood derived urinary arsenobetaine exclusion and osmolality hydration adjustment yielded an improved correlation of 0.62 between drinking water and urinary As concentrations. Urinary hydration adjustment methods were improved and comparatively assessed using data from the US National Health and Nutrition Examination Survey (NHANES). Correlations of urinary concentrations of As, iodine (I), lead (Pb) and cadmium (Cd) against urinary flow rate (UFR) (low correlations desired) and urinary Pb and Cd against respective blood concentrations (high correlations desired) were used as independent performance criteria. Osmolality adjustment and a modified UFR-based adjustment method using empirically derived coefficients (slopes of analyte concentrations as a function of UFR) generally performed better than creatinine, excretion rate and bodyweight-adjusted excretion rate methods. The findings demonstrated the analyte specific nature of adjustment methods, their misuse in the literature and suggested a pathway to a more robust adjustment framework. Prolonged exposure to As from PWS was identified by the stability of 127 drinking water As concentrations measured up to 31 months apart. Drinking water As concentrations were correlated with those measured in toenails (Pearson's r: 0.53; n=200) and hair (Pearson's r: 0.38; n=104). The successful elimination of external contamination of toenail samples was indicated by low As concentrations in final-stage rinse solutions (geometric mean contribution: 0.4 %). A positive association between seafood consumption and toenail As and a negative association between home-grown vegetable consumption and hair As was observed when As in drinking water was < 1 As μg/L. Elevated As concentrations measured in residential soil (12-992 mg kg-1; n=127) and household dust (3-1079 mg kg-1; n=99), particularly on mineralised geological domains and in the vicinity of former As mining sites, were indicative of additional As exposure routes. Bioaccessibility-adjusted assessment criteria of 190 (13 % bioaccessibility) and 129 (23 % bioaccessibility) As mg kg-1 were derived and 10 and 17 % of residential soils were in exceedance, respectively. The relative importance of different exposure routes in the study region, namely whether As intake from soil and dust is evident in the study population, will form the basis of further work. This will be addressed using multivariate analyses of drinking water, soil and dust in conjunction with urine, toenail and hair As concentrations.
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Iyiola, Samuel Oluwagbemi. "Moteino-Based Wireless Data Transfer for Environmental Monitoring". Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984271/.
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Data acquisition through wireless sensor networks (WSNs) has enormous potential for scalable, distributed, real-time observations of monitored environmental parameters. Despite increasing versatility and functionalities, one critical factor that affects the operation of WSNs is limited power. WSN sensor nodes are usually battery powered, and therefore the long-term operation of the WSN greatly depends on battery capacity and the node's power consumption rate. This thesis focuses on WSN node design to reduce power consumption in order to achieve sustainable power supply. For this purpose, this thesis proposes a Moteino-based WSN node and an energy efficient duty cycle that reduces current consumption in standby mode using an enhanced watchdog timer. The nodes perform radio communication at 915 MHz, for short intervals (180ms) every 10 minutes, and consume 6.8 mA at -14dBm. For testing, the WSN node monitored a low-power combined air temperature, relative humidity, and barometric pressure sensor, together with a typical soil moisture sensor that consumes more power. Laboratory tests indicated average current consumption of ~30µA using these short radio transmission intervals. After transmission tests, field deployment of a star-configured network of nine of these nodes and one gateway node provides a long-term platform for testing under rigorous conditions. A webserver running on a Raspberry Pi connected serially to the gateway node provides real-time access to this WSN.
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Kandula, Harsha. "Development Of A Testbed For Multimedia Environmental Monitoring". Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc103342/.
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Multimedia environmental monitoring involves capturing valuable visual and audio information from the field station. This will permit the environmentalists and researchers to analyze the habitat and vegetation of a region with respect to other environmental specifics like temperature, soil moisture, etc. This thesis deals with the development of a test bed for multimedia monitoring by capturing image information and making it available for the public. A USB camera and a Single board computer are used to capture images at a specified frequency. A web-client is designed to display the image data and establish a secured remote access to reconfigure the field station. The development includes two modes of image acquisition including a basic activity recognition algorithm. Good quality images are captured with the cost for development of the system being less than 2 hundred dollars.
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Dodson, Jacob Christopher. "Guided Wave Structural Health Monitoring with Environmental Considerations". Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/27070.
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Damage detection in mechanical and aerospace structures is critical to maintaining safe
and optimal performance. The early detection of damage increases safety and reduces cost
of maintenance and repair. Structural Health Monitoring (SHM) integrates sensor networks
and structures to autonomously interrogate the structure and detect damage. The
development of robust SHM systems is becoming more vital as aerospace structures are
becoming more complex. New SHM methods that can determine the health of the structure
without using traditional non-destructive evaluation techniques will decrease the cost
and time associated with these investigations. The primary SHM method uses the signals
recorded on a pristine structure as a reference and compares operational signals to the
baseline measurement. One of the current limitations of baseline SHM is that environmental
factors, such as temperature and stress, can change the system response so the
algorithm indicates damage when there is none. Many structures which can benefit from
SHM have multiple components and often have connections and interfaces that also can
change under environmental conditions, thus changing the dynamics of the system.
This dissertation addresses some of the current limitations of SHM. First the changes
that temperature variations and applied stress create on Lamb wave propagation velocity
in plates is analytically modeled and validated. Two methods are developed for the
analytical derivative of the Lamb wave velocity; the first uses assumes a thermoelastic material
while the second expands thermoelastic theory to include thermal expansion and
the associated stresses. A model is developed so the baseline measurement can be compensated
to eliminate the false positives due to environmental conditions without storage
of dispersion curves or baseline signals at each environmental state. Next, a wave based
instantaneous baseline method is presented which uses the comparison of simultaneously
captured real time signals and can be used to eliminate the influence of environmental effects
on damage detection. Finally, wave transmission and conversion across interfaces in
prestressed bars is modeled to provide a better understanding of how the coupled axial
and flexural dynamics of a non-ideal preloaded interface change with applied load.Ph. D.
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WEI, XINGTAO. "SILICON MICROELECTRODE ARRAYS FOR IN SITU ENVIRONMENTAL MONITORING". University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1123783607.
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Schädle, Thomas Fabian [Verfasser]. "Mid-infrared sensors for environmental monitoring / Thomas Schädle". Ulm : Universität Ulm, 2017. http://d-nb.info/1124067841/34.
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Suzuki, Takeharu. "Integrated, Intelligent Sensor Fabrication Strategies for Environmental Monitoring". Thesis, Griffith University, 2004. http://hdl.handle.net/10072/367295.
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The humidity, temperature, wind speed/direction micro sensors can be manufactured individually, resulting in three individual substrates. The integration of the three sensors into a single substrate is a vital challenge to achieve an integrated intelligent sensor so called a multiple sensor. This requires the integration of process flows and is a major challenge because adequate sensor performance must be maintained. Polyimide was selected as a humidity sensing material for its compatibility with conventional integrated circuit fabrication technology, negligible temperature dependence and good resistance against contamination. Nickel was selected for the temperature and wind speed/direction sensor because of its useful temperature coefficient and the advantage of its cost. Since the known wet etchant for nickel requires hard-baked photoresist, a method which does not attack the polyimide while removing the photoresist must be developed. The method developed for etching nickel employs hard-bake-free photoresist. Other challenge was ensuring good thermal isolation for the wind speed/direction sensor fabricated on a silicon nitride layer preformed on top of a silicon wafer. Since silicon acts as a good heat sink, the silicon under the sensor was etched entirely away until the silicon nitride layer was reached. This structure achieved good thermal isolation resulting in small power consumption. This low power feature is essential for sensors deployed in fields where power access or replacement of power sources is restricted. This structure was compared with the structure created by polyimide plateau on a silicon nitride layer coated on a silicon substrate as a function of power consumption. Based on the examination of thermal isolation, the multiple sensor utilizing a MEMS technique was fabricated with a single-sided mask aligner. The characteristics of humidity sensors fabricated with polyimide were examined in detail with respect to variations of electrode structures, improvement of sensitivity, effect of process temperature, temperature and frequency dependence, and stability. The humidity sensor constructed with O2 plasma treated polyimide resulted an improvement in sensitivity and hysteresis. The investigation using XPS, FTIR and AFMconcluded the chemical modification of polyimide played an important role in this improvement. The design, fabrication and results of a series of humidity sensors are quantified. There is always no unique packaging solution for sensors because of the application-specific nature of the sensors. This intelligent environmental monitoring system was designed to accommodate both an environmental sensor and its signal conditioning electronics circuitry (SICONEC) into a single package. The environmental sensors need direct exposure to the environment while SICONEC needs a sealed encapsulation to avoid environmental damage. A new style of packaging addressing these requirements was demonstrated using a hot embossing machine. The hot embossing machine was used to embed an integrated circuit (IC) in a bare die condition into a polycarbonate (PC) sheet. In this case, the IC was flipped down against the PC, which protects the front side of the IC from the environmental damages. In a test phase, a die containing operational amplifiers was embossed into the PC. A humidity sensor and surface mount resisters were placed on the same surface of the PC to test the validity of this new technique. Interconnection between the embossed die and the humidity sensor was established using bonding wires. Copper tracks were also used to ensure all electrical connections for the die, the humidity sensor and the resistors. The results clarified the method developed. Details of process methods, issues and further potential improvement are reported.Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Microelectronic Engineering
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Malfante, Marielle. "Automatic classification of natural signals for environmental monitoring". Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAU025/document.
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Ce manuscrit de thèse résume trois ans de travaux sur l’utilisation des méthodes d’apprentissage statistique pour l’analyse automatique de signaux naturels. L’objectif principal est de présenter des outils efficaces et opérationnels pour l’analyse de signaux environnementaux, en vue de mieux connaitre et comprendre l’environnement considéré. On se concentre en particulier sur les tâches de détection et de classification automatique d’événements naturels.Dans cette thèse, deux outils basés sur l’apprentissage supervisé (Support Vector Machine et Random Forest) sont présentés pour (i) la classification automatique d’événements, et (ii) pour la détection et classification automatique d’événements. La robustesse des approches proposées résulte de l’espace des descripteurs dans lequel sont représentés les signaux. Les enregistrements y sont en effet décrits dans plusieurs espaces: temporel, fréquentiel et quéfrentiel. Une comparaison avec des descripteurs issus de réseaux de neurones convolutionnels (Deep Learning) est également proposée, et favorise les descripteurs issus de la physique au détriment des approches basées sur l’apprentissage profond.Les outils proposés au cours de cette thèse sont testés et validés sur des enregistrements in situ de deux environnements différents : (i) milieux marins et (ii) zones volcaniques. La première application s’intéresse aux signaux acoustiques pour la surveillance des zones sous-marines côtières : les enregistrements continus sont automatiquement analysés pour détecter et classifier les différents sons de poissons. Une périodicité quotidienne est mise en évidence. La seconde application vise la surveillance volcanique : l’architecture proposée classifie automatiquement les événements sismiques en plusieurs catégories, associées à diverses activités du volcan. L’étude est menée sur 6 ans de données volcano-sismiques enregistrées sur le volcan Ubinas (Pérou). L’analyse automatique a en particulier permis d’identifier des erreurs de classification faites dans l’analyse manuelle originale. L’architecture pour la classification automatique d’événements volcano-sismiques a également été déployée et testée en observatoire en Indonésie pour la surveillance du volcan Mérapi. Les outils développés au cours de cette thèse sont rassemblés dans le module Architecture d’Analyse Automatique (AAA), disponible en libre accèsThis manuscript summarizes a three years work addressing the use of machine learning for the automatic analysis of natural signals. The main goal of this PhD is to produce efficient and operative frameworks for the analysis of environmental signals, in order to gather knowledge and better understand the considered environment. Particularly, we focus on the automatic tasks of detection and classification of natural events.This thesis proposes two tools based on supervised machine learning (Support Vector Machine, Random Forest) for (i) the automatic classification of events and (ii) the automatic detection and classification of events. The success of the proposed approaches lies in the feature space used to represent the signals. This relies on a detailed description of the raw acquisitions in various domains: temporal, spectral and cepstral. A comparison with features extracted using convolutional neural networks (deep learning) is also made, and favours the physical features to the use of deep learning methods to represent transient signals.The proposed tools are tested and validated on real world acquisitions from different environments: (i) underwater and (ii) volcanic areas. The first application considered in this thesis is devoted to the monitoring of coastal underwater areas using acoustic signals: continuous recordings are analysed to automatically detect and classify fish sounds. A day to day pattern in the fish behaviour is revealed. The second application targets volcanoes monitoring: the proposed system classifies seismic events into categories, which can be associated to different phases of the internal activity of volcanoes. The study is conducted on six years of volcano-seismic data recorded on Ubinas volcano (Peru). In particular, the outcomes of the proposed automatic classification system helped in the discovery of misclassifications in the manual annotation of the recordings. In addition, the proposed automatic classification framework of volcano-seismic signals has been deployed and tested in Indonesia for the monitoring of Mount Merapi. The software implementation of the framework developed in this thesis has been collected in the Automatic Analysis Architecture (AAA) package and is freely available
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CHIADO', ALESSANDRO. "Evaluation of new biorecognition elements for environmental monitoring". Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2511708.
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To date, environmental monitoring is mainly focused on traditional chemical techniques, or on the assessment of specific biomarkers. However, these analyses are affected by several limitations: mainly, they are expensive, spot-sampling and time-consuming. In order to overcome these drawbacks, new biological monitoring methods, such as biosensors and biological early warning system (BEWS) are under development. These kinds of devices, built around whole cells, enzymes and antibodies, are well-suited to cooperatively and continuously monitor the environmental conditions. The key-factor of this very promising approach is the biological sensing element. Whole cell systems and enzymes are well suited for environmental monitoring: they are able to determine the bioavailable and toxic concentration of xenobiotics, especially if the source and nature of the compound cannot be predicted. Microorganisms usually detect a broad spectrum of chemicals, and represent a good opportunity for low cost, long shelf-life, and wide range of conditions in which they can be applied. Besides, enzymes are effective when a particular kind of pollutant would be detected because is possible to fine tune their metabolic behaviour by means of protein engineering.
In this work, three biological sensing elements, related to three different index of toxicity were evaluated, in order to develop new biosensors for environmental monitoring: a broad toxicity index associated to the decrease of light emission (EC50 or half effective concentration) of a bioluminescent bacterium, Vibrio fischeri, a metal toxicity connected to the metal-regulated production of a siderophore (pyoverdine) by the soil and water microorganism Pseudomonas fluorescens, and finally an index of toxicity given by PAHs, was related to the metabolization of these compounds by laccase of Trametes versicolor.
One of the first step during the assessment of a new biological sensing element is the study of the effect of physical-chemical parameters. The tested physical-chemical parameters (temperature, pH, inoculum percentage (v/v) and carbon source) influenced both microbial sensible elements (V. fischeri and P. fluorescens), therefore, these sensible elements can be used in a whole-cell biosensor for in-situ application, even if the response is affected by the environmental variables. Furthermore, the light emission of V. fischeri was highly variable, although a more stable bioluminescence was obtained by means of a glucose fed-batch: this is one step towards the direct application of this system, usually tailored for laboratory assays, to estimate the broad acute toxicity directly in situ in a portable device.
Regarding the interaction between P. fluorescens and Fe3+, Cu2+, and Zn2+, the minimum inhibitory concentration (MIC) and the pyoverdine critical concentration (PCC) obtained values were compared to those indicated in the WHO Guidelines for drinking water quality and in European directive 98/83/EC: MICs of Fe3+, Cu2+ and Zn2+ are always above the threshold specified, whilst PCCs are very near to the recommended thresholds for iron and copper. The PCC was not determined for zinc in the tested range of concentration and conditions. These results highlighted that this sensible element should be further investigated for the development of a biosensor able to monitor metals in the environment.
The last and most promising sensing element assessed in this work was the lccβ laccase of T. versicolor. A combination of computational docking (SwissDock) and molecular biology techniques was used to generate rationally engineered laccases with increased ability to process large and persistent PAHs. These mutated isoforms were produced by heterologous expression in P. pastoris, successfully purified, and characterized by means of biochemical assays. The activity of the enzymes was initially tested and characterized with phenolic and non phenolic substrates at different pH (3.0-8.0): the best mutated enzyme F162A/L164A (M1) showed an increased specific activity (UI/mg) in comparison with the wild type, in every tested condition. This result was in agreement with those obtained by computational docking simulations (estimated free binding energy), validating the rational design approach.
Moreover, decolourization assays of large aromatic dyes, used as model compounds, have shown that the mutated enzymes are reactive towards molecules with chemical structure resembling that of aromatic organic pollutants. By means of example, enzyme mutants with a larger binding pocket (e.g. M1) showed higher activity against triphenylmethane dyes (e.g. Methyl Green), especially without a mediator of the reaction (HBT), and high stability under a variety of temperature conditions (4, 22 °C, room temperature). Therefore, the best enzyme should be integrated on an appropriate transducer (e.g. electrode), and coupled to a wireless platform generating a BEWS for environmental monitoring.
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XHIXHA, Gerti. "Advanced gamma-ray spectrometry for environmental radioactivity monitoring". Doctoral thesis, Università degli studi di Ferrara, 2012. http://hdl.handle.net/11392/2388782.
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The environmental radioactivity monitoring programs start in the late 1950s of the 20th century following the global fallout from testing of nuclear weapons in the atmosphere, becoming a cause of concern regarding health effects. Later, the necessity of world industrialization for new energy sources led to develop national plans on electricity production from nuclear technology, initializing in this context world wide exploration for fuel minerals: uranium exploration gained a particular attention in late 1940's in USA, Canada and former USSR and in 1951 in Australia with respective national plans. Nowadays there are about 440 nuclear power plants for electricity generation with about 70 more NPP under construction giving rise to the nuclear emergency preparedness of a large number of states (like Radioactivity Environmental Monitoring (REM) data bank and EUropean Radiological Data Exchange Platform (EURDEP). Furthermore, a lot of applications in the field of geosciences are related to the environmental radioactivity measurements going from geological mapping, mineral exploration, geochemical database construction to heat -flow studies.
Gamma-ray spectroscopy technique is widely used when dealing with environmental radioactivity monitoring programs. The purpose of this work is to investigate the potentialities that such a technique offers in monitoring radioactivity concentration through three different interventions in laboratory, in-situ and airborne measurements. An advanced handling of gamma-ray spectrometry method is realized by improving the performances of instruments and realizing and testing dedicated equipments able to deal with practical problems of radioactivity monitoring. For each of these gamma-ray spectrometry methods are faced also the problems of calibration, designing of monitoring plans and data analyzing and processing.
In the first chapter I give a general description for the common radionuclides present in the environment having a particular interest for monitoring programs. Three categories of environmental radionuclides classified according to their origin as cosmogenic, primordial and man-made are discussed. The cosmic rays continuously produce radionulides and also direct radiation, principally high energetic muons. Cosmogenic radionuclides are originated from the interaction of cosmic rays with stable nuclides present in the Earth’s atmosphere. Primordial radionuclides are associated with the phenomenon of nucleosynthesis of the stars and are present in the Earth’s crust. Man-made radionuclides commonly present in natural environments are principally derived from radioactive fallout from atmospheric nuclear weapons testing and peaceful applications of nuclear technology like nuclear power plants for electricity generation and the associated nuclear fuel cycle facilities. A relevant contribution, generally with local implication comes from the so called non-nuclear industries which are responsible for technologically enhancement of natural radioelements producing huge amounts of naturally occurring radioactive materials (NORM/TENORM).
In the second chapter is described a homemade approach to the solution of the problem rising in monitoring situations in which a high number of samples is to be measured through gamma-ray spectrometry with HPGe detectors. Indeed, in such cases the costs sustaining the manpower involved in such programs becomes relevant to the laboratory budget and sometimes becomes a limitation of their capacities. Manufacturers like ORTEC® and CANBERRA produce gamma-ray spectrometers supported by special automatic sample changers which can process some tens of samples without any human attendance. However, more improvements can be done to such systems in shielding design and detection efficiency.
We developed a fully automated gamma-ray spectrometer system using two coupled HPGe detectors, which is a well known method used to increase the detection efficiency. An alternative approach on shielding design and sample changer automation was realized. The utilization of two coupled HPGe detectors permits to achieve good statistical accuracies in shorter time, which contributes in drastically reducing costs and man power involved. A detailed description of the characterization of absolute full-energy peak efficiency of such instrument is reported here. Finally, the gamma-ray spectrometry system, called MCA_Rad, was used to characterize the natural radioactivity concentration of bed-rocks in Tuscany Region, Italy. More than 800 samples are measured and reported here together with the potential radioactivity concentration map of bed rocks in Tuscany Region.
In the third chapter is described the application of portable scintillation gamma -ray spectrometers for in-situ monitoring programs focusing on the problems of calibration and spectrum analysis method. In-situ γ-ray spectrometry with sodium iodide scintillators is a well developed and consolidated method for radioactive survey. Conventionally, a series of self-constructed calibration pads prevalently enriched with one of the radioelements is used to calibrate this portable instrument. This method was further developed by introducing the stripping (or window analysis) described in International Atomic Energy Agency (IAEA) guidelines as a standard methods for natural radioelement exploration and mapping.
We realized a portable instrument using scintillation gamma-ray spectrometers with sodium iodide detector. An alternative calibration method using instead well-characterized natural sites, which show a prevalent concentration of one of the radioelements, is developed. This procedure supported by further development of the full spectrum analysis (FSA) method implemented in the non-negative least square (NNLS) constrain was applied for the first time in the calibration and in the spectrum analysis. This new approach permits to avoid artifacts and non physical results in the FSA analysis related with the χ2 minimization process. It also reduces the statistical uncertainty, by minimizing time and costs, and allows to easily analyze more radioisotopes other than the natural ones. Indeed, as an example of the potentialities of such a method 137Cs isotopes has been implemented in the analysis. Finally, this method has been tested by acquiring gamma Ombrone -ray spectra using a 10.16 cm×10.16 cm sodium iodide detector in 80 different sites in the basin, in Tuscany. The results from the FSA method with NNLS constrain have been compared with the laboratory measurements by using HPGe detectors on soil samples collected.
In the forth chapter is discussed the self-construction of an airborne gamma-ray spectrometer, AGRS_16.0L. Airborne gamma-ray spectrometry (AGRS) method is widely considered as an important tool for mapping environmental radioactivity both for geosciences studies and for purposes of radiological emergency response in potentially contaminated sites. Indeed, they have been used in several countries since the second half of the twentieth century, like USA and Canada, Australia, Russia, Checz Republic, and Switzerland.
We applied the calibration method described in the previous chapter using well -characterized natural sites and implemented for the first time in radiometric data analysis FSA analysis method with NNLS constrain. This method permits to decrease the statistical uncertainty and consequently reduce the minimum acquisition time (which depend also on AGRS system and on the flight parameters), by increasing in this way the spatial resolution. Finally, the AGRS_16.0L was used for radioelement mapping survey over Elba Island. It is well known that the natural radioactivity is strictly connected to the geological structure of the bedrocks and this information has been taken into account for the analysis and maps construction. A multivariate analysis approach was considered in the geostatistical interpolation of radiometric data, by putting them in relation with the geology though the Collocated Cokriging (CCoK) interpolator. Finally, the potential radioelement maps of potassium, uranium and thorium are constructed for Elba Island.
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Ojo, Temitope O. "Development of environmental and oceanographic real-time assessment system for the near-shore environment". Texas A&M University, 2003. http://hdl.handle.net/1969.1/3875.
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The coupling of real-time measurements and numerical models will be important
in overcoming the challenges in environmental and oceanographic assessments in
surface waters. Continuous monitoring will take advantage of current state-of-the-art in
sensor development, remote sensing technology. The numerical modeling tools available
exist in many different forms and varying levels of complexity from depth integrated
one-dimensional (1-D) models to full three-dimensional (3-D) models. Common to all
are the constraints and forcing required in driving the models. These include
hydrodynamic and barometric information, which are relatively difficult to obtain given
the time scale of the bio-chemical and physical processes governing the fate and
transport of the constituents of interest.
This study is focused on the development of a framework that couples real-time
measurements and numerical simulation for tracking constituents in surface waters.
The parameterization of the mixing and turbulent diffusion impacts the formulation of
the constituent-transport governing equations to the extent that the numerical model is being driven by near real-time observations of hydrodynamic data and the consequent
evaluation of model coefficients. The effects of shear-augmented diffusion processes in
shallow embayment and near-shore waters are investigated in order to develop
algorithms for obtaining a shear diffusion coefficient, Ke from shear-current
measurements and turbulent diffusion-coefficient, Kz measured by the auto-correlation
function, Rτ of the velocity time-series.
Typically, the diffusion coefficients are measured through tracer experiments as
determined by the time rate of change of the variance of a growing patch (K = ½ dσ2 /dt),
which introduces the concept of diffusion length-scale (or time-scale). In this study, the
dye-tracer experiment was used, not so much in the context of evaluation of a diffusion
coefficient, but within a modeling framework to validate a numerical scheme driven by
real-time hydrodynamic observations. Overall, the effect of shear-currents in shallow
wind-driven estuaries is studied using a prototype bay typical of the Texas Gulf-coast. A
numerical model was developed and used in testing these hypotheses through a series of
dye-tracer experiments under varying meteorological conditions.
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Hess, Philipp. "The determination and environmental significance of planar aromatic compounds in the marine environment". Thesis, Robert Gordon University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388494.
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Duan, Hongmei. "Monitoring and characterization of toxic cyanobacterial blooms". Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66915.
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Molecular tools were used to monitor the dynamics of Microcystis populations and the potential microcystin producers in Missisquoi Bay (the Canadian part of Lake Champlain). This study showed the GF/C filters, which are typically used to prepare samples for microcystin analysis, were not ideal for the characterization of total bacterial communities, but were sufficient for the chemical analyses of cyanobacterial microcystins. The mcyD gene copy number determined by Q-PCR correlated well with the microcystin concentration determined by ELISA and HPLC in 2006; therefore mcyD Q-PCR could be used as a rapid and sensitive method and as an effective monitoring system for toxic cyanobacterial blooms in Lake Champlain. Escherichia coli was also monitored as an indicator of manure contamination of lake water. Manure application and rain events positively related to the high nitrogen concentration in the lake in 2006, suggested that good manure management is necessary for the reduction of agricultural nutrient loads into Missisquoi Bay, believed to be a major cause of cyanobacterial blooms.Un suivi de la dynamique des populations de Microcystis qui ont la capacité de produire des toxines a été effectué à la baie Missisquoi (partie canadienne du lac Champlain) à l'aide d'outils moléculaires. Deux types de membranes ont été utilisés : un filtre standard (GF/C) pour quantifier les microcystines, et un filtre pour capturer les bactéries. Cette étude a démontré que le filtre standard (GF/C) est approprié pour déterminer les concentrations de microcystines, mais qu'il n'est pas adéquat pour caractériser avec des techniques moléculaires, les populations de bactéries et de cyanobactéries. Une bonne corrélation a été obtenue en 2006, entre les concentrations de microcystines déterminées par les méthodes ELISA et HPLC et le nombre de copies du gène mcyD (impliqué dans la biosynthèse des microcystines). Les résultats ont donc démontré le potentiel de cette méthode de PCR en temps réel, ciblant le gène mcyD, pour la détection et le suivi des proliférations de cyanobactéries qui produisent des toxines. La présence du pathogène fécal Escherichia coli a été évaluée afin de déterminer la relation entre l'application de lisier et de fumier et l'augmentation dans l'eau du lac, des nutriments qui causent les proliférations. Une bonne corrélation a été obtenue entre l'application du lisier et du fumier et les précipitations ainsi qu'entre les concentrations élevées d'azote dans le lac, suggérant qu'une meilleure gestion des matières fertilisantes est nécessaire pour réduire les apports de nutriments dans la baie Missisquoi.
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Utami, Dian Wahyu. "Visual simulation of Brisbane River-Moreton Bay System in a decision framework environment /". St. Lucia, Qld, 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17279.pdf.
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Bayat, Daryoush. "Development of a long range wireless sensor platform". Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2011. https://ro.ecu.edu.au/theses/469.
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Wireless Sensor Networks have emerged as an exciting field in recent years. There have been numerous studies on how to improve and standardise different aspects of wireless sensor networks. This paper aims to develop a wireless sensor network suitable for environmental monitoring applications. More specifically this paper aims to address the limited communication range of the existing wireless sensor technology. In order to achieve the desired objectives, we have initially developed a hardware platform and then integrated the hardware with a long range RF radio module to achieve the goals. The system is further enhanced with mesh networking capabilities to increase the communication range and overall reliability of the network. The developed wireless sensor network is composed of sensors, microcontroller, RF radio module, antenna and expansion connectors for additional sensors and peripheral devices. The developed wireless sensor network has been rigorously tested under three different scenarios to ensure the correct operation of the mesh network, communication range and effect of environmental obstacles such as vegetation and trees. The developed wireless sensor network has been proven to be a suitable platform for environmental monitoring applications and the modular design has made it very easy to optimise it for different applications.
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Eichinski, Philip. "Smart sampling of environmental audio recordings for biodiversity monitoring". Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123022/1/Philip_Eichinski_Thesis.pdf.
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This thesis contributes to the field of acoustic environmental monitoring by developing novel semiautomated methods of processing long audio recordings to conduct species richness surveys efficiently. These methods allow a machine to select rich subset of the recordings though estimations of acoustic variety, which can then be presented to the human listener for species identifications. This work represents a step towards more effective biodiversity monitoring of vocal species that can be performed at a larger scale than is possible with traditional methods.
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Lundgren, Elida. "Evaluating camera monitoring of breeding seabirds". Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412458.
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This thesis was made in collaboration with the Baltic Seabird Project with the purpose of evaluating the possibilities of using cameras to monitor the fledging success of Common Guillemots on Stora Karlsö. Fledging success is measured from the time the egg is laid, hatched, until the chick is 15 days old and considered ready to leave the nest. Camera monitoring means that the breeding area where the birds reside is photographed at a predetermined interval to attempt to capture the offspring to determine its survival. The study was conducted on Stora Karlsö by installing cameras in the artificial breeding shelf, Auk Lab, and determine how well the method works. Whether the offspring can be caught on camera was the main question, with a secondary question addressing the differences from the traditional monitoring method which is done by daily controls by one person on site. The results show that camera monitoring can be a useful method. It is possible to observe the off-spring, but distance and angle are important factors affecting image quality. Power supply and the memory card size are important factors that decide whether time savings can be made compared to the traditional method. Further development of the routines for camera monitoring is necessary to create a reliable data collectionStudien gjordes i samarbete med Baltic Seabird Project med syftet att undersöka möjligheten att använda kameror för att övervaka häckningsframgång hos Sillgrissla på Stora Karlsö. Häckningsframgång definieras som tiden från att ägget läggs, kläcks, och ungen överlever i 15 dagar då den anses vara redo att lämna boet. Övervakning med kameror innebär att häckningsytan där fåglarna sitter fotograferas med ett bestämt tidsintervall för att försöka fånga avkomman på bild och därmed se att den har överlevt. Undersökningen har genomförts på Stora Karlsö genom att installera kameror i den konstgjorda häckningshyllan Auk Lab och bedöma hur väl metoden fungerar. Huruvida avkomman fångas på bild eller inte var den huvudsakliga frågeställningen, med en sekundär frågeställning som rör skillnaden mellan den traditionella insamlingsmetoden som genomförs genom att en person dagligen kontrollerar fåglarna. Resultaten visar att kameraövervakning kan vara en användbar metod, då det går att fånga avkomman på bild men avstånd och vinkel är några av de avgörande faktorerna för att framgångsrikt kunna observera avkomman. Strömtillförsel och minneskortets storlek är avgörande faktorer för att göra vinningar tidsmässigt jämfört med den traditionella metoden. Fortsatt utveckling av rutinerna för kameraövervakning är nödvändigt för att få en pålitlig datainsamling. 2
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Khalil, Atheer H. "An adaptive data compression system for environmental telemetry applications". Thesis, University of Hull, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262416.
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Graffelman, Jan. "Contributions to the multivariate Analysis of Marine Environmental Monitoring". Doctoral thesis, Universitat Politècnica de Catalunya, 2000. http://hdl.handle.net/10803/6525.
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The thesis parts from the view that statistics starts with data, and starts by introducing the data sets studied: marine benthic species counts and chemical measurements made at a set of sites in the Norwegian Ekofisk oil field, with replicates and annually repeated. An introductory chapter details the sampling procedure and shows with reliability calculations that the (transformed) chemical variables have excellent reliability, whereas the biological variables have poor reliability, except for a small subset of abundant species. Transformed chemical variables are shown to be approximately normal. Bootstrap methods are used to assess whether the biological variables follow a Poisson distribution, and lead to the conclusion that the Poisson distribution must be rejected, except for rare species. A separate chapter details more work on the distribution of the species variables: truncated and zero-inflated Poisson distributions as well as Poisson mixtures are used in order to account for sparseness and overdispersion. Species are thought to respond to environmental variables, and regressions of the abundance of a few selected species onto chemical variables are reported. For rare species, logistic regression and Poisson regression are the tools considered, though there are problems of overdispersion. For abundant species, random coefficient models are needed in order to cope with intraclass correlation. The environmental variables, mainly heavy metals, are highly correlated, leading to multicollinearity problems. The next chapters use a multivariate approach, where all species data is now treated simultaneously. The theory of correspondence analysis is reviewed, and some theoretical results on this method are reported (bounds for singular values, centring matrices). An applied chapter discusses the correspondence analysis of the species data in detail, detects outliers, addresses stability issues, and considers different ways of stacking data matrices to obtain an integrated analysis of several years of data, and to decompose variation into a within-sites and between-sites component. More than 40 % of the total inertia is due to variation within stations. Principal components analysis is used to analyse the set of chemical variables. Attempts are made to integrate the analysis of the biological and chemical variables. A detailed theoretical development shows how continuous variables can be mapped in an optimal manner as supplementary vectors into a correspondence analysis biplot. Geometrical properties are worked out in detail, and measures for the quality of the display are given, whereas artificial data and data from the monitoring survey are used to illustrate the theory developed. The theory of display of supplementary variables in biplots is also worked out in detail for principal component analysis, with attention for the different types of scaling, and optimality of displayed correlations. A theoretical chapter follows that gives an in depth theoretical treatment of canonical correspondence analysis, (linearly constrained correspondence analysis, CCA for short) detailing many mathematical properties and aspects of this multivariate method, such as geometrical properties, biplots, use of generalized inverses, relationships with other methods, etc. Some applications of CCA to the survey data are dealt with in a separate chapter, with their interpretation and indication of the quality of the display of the different matrices involved in the analysis. Weighted principal component analysis of weighted averages is proposed as an alternative for CCA. This leads to a better display of the weighted averages of the species, and in the cases so far studied, also leads to biplots with a higher amount of explained variance for the environmental data. The thesis closes with a bibliography and outlines some suggestions for further research, such as a the generalization of canonical correlation analysis for working with singular covariance matrices, the use partial least squares methods to account for the excess of predictors, and data fusion problems to estimate missing biological data.