Relevant bibliographies by topics / Water quality monitoring

Academic literature on the topic 'Water quality monitoring'

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Published: 4 June 2021
Last updated: 1 June 2024

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Journal articles on the topic "Water quality monitoring"

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Umamaheswari, T., Dr M. Newlin Rajkumar, and R. Tharani S.Rajalakshmi. "Water Quality Measuring and Monitoring: A Survey." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 27–30. http://dx.doi.org/10.31142/ijtsrd5833.

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Gonsor, Oksana. "SMART SYSTEM FOR MONITORING WATER QUALITY PARAMETERS." Measuring Equipment and Metrology 83, no. 4 (2022): 18–23. http://dx.doi.org/10.23939/istcmtm2022.04.018.

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Water is the most crucial factor for all living organisms, so it is essential to protect it. And water quality monitoring is one of the first steps required in the rational development and management of water resources. Smart systems used for real-time quality control and power consumption are rapidly developing. Their implementation in water quality assurance systems is essential and actual. The three-level smart system presented in this article involves the processing of water samples testing results from water supply sources, from the distribution network (consumers), test results of testing laboratories, and data from water consumption accounting systems. Transmission of the obtained results to consumers applying wireless communication technologies is an important system feature.
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Tazoe, Hirofumi. "Water quality monitoring." Analytical Sciences 39, no. 1 (January 2023): 1–3. http://dx.doi.org/10.1007/s44211-022-00215-2.

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Knežević, Nemanja, and Srboljub Nikolić. "Water quality monitoring after floods." Odrzivi razvoj 3, no. 1 (2021): 47–61. http://dx.doi.org/10.5937/odrraz2101047k.

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Safe drinking water is one of the most important conditions for a healthy life. However, in case of disasters and emergencies, the water is often contaminated with various impurities of physical, chemical and/or biological origin. These contaminations can lead to a number of health problems, including various infectious diseases. For that reason, it is important to act preventively, and to perform appropriate treatment and water purification in a timely and urgent manner, depending on the type of pollution. In order to determine the type of pollution and perform the appropriate water treatment, the precondition is arranging certain chemical analyzes and monitoring of water quality through quality parameters. Since our time and economic resources are limited in the first moments of the accident, it is not possible to monitor all the parameters, so we monitor the most important: pH value, amount of residual chlorine, color, turbidity and the presence of pathogens. However, even when the type of pollution is determined, it is sometimes not possible to do centralized water purification immediately. Therefore, it is important to know the methods that can independently, and with the help of some handy tools, be applied in our household (eg. disinfection by boiling water or using some of the chemicals for disinfection; sedimentation, etc.). Using these methods, at least a physiological minimum can be provided for family members in the first moments after the accident, until a centralized purification is performed.
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Moldobaeva, Munara. "Water Quality Monitoring by Implementing ZigBee Network Wireless Sensors." International Journal of Psychosocial Rehabilitation 23, no. 4 (December 20, 2019): 1403–13. http://dx.doi.org/10.37200/ijpr/v23i4/pr190465.

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Bhagat, Priya S., Dr Vijay S. Gulhane, and Prof Tanuj S. Rohankar. "Implementation of Internet of Things for Water Quality Monitoring." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 306–11. http://dx.doi.org/10.31142/ijtsrd23655.

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Jaffé, Peter R. "River water quality monitoring." Advances in Water Resources 10, no. 2 (June 1987): 109. http://dx.doi.org/10.1016/0309-1708(87)90014-5.

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STEELE, TIMOTHY D. "Water quality monitoring strategies." Hydrological Sciences Journal 32, no. 2 (June 1987): 207–13. http://dx.doi.org/10.1080/02626668709491178.

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Belgiorno, V., and R. M. A. Napoli. "Groundwater quality monitoring." Water Science and Technology 42, no. 1-2 (July 1, 2000): 37–41. http://dx.doi.org/10.2166/wst.2000.0288.

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The paper describes results of monitoring activities of groundwater in a rural area carried out to verify the impact on water quality in an uncontaminated area resulting from the initiation of an atmospheric pollution source. Significant emissions of nitrogen oxides from the pollution source resulted in particular attention to verifying the increase of nitrate concentrations in monitored water. Over 10,000 analytical tests including several chemical parameters were conducted in the full monitoring period. In the paper, a first reading of data, graphical trends and non-parametric statistical analysis are presented. Measured values for nitrates, nitrites, hardness, alkalinity and pH showed poor variability during the entire period. Checked parameters were in the usual ranges of uncontaminated rural areas and comparisons between meaningful values of the periods ante operam and post operam do not show any degradation of water quality following the atmospheric pollution source activity. Nitrites are occasionally found in some spring water due to organic pollution, confirmed by the randomness with which their presence was detected.
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Aswin Kumer, S. V., P. Kanakaraja, V. Mounika, D. Abhishek, and B. Praneeth Reddy. "Environment water quality monitoring system." Materials Today: Proceedings 46 (2021): 4137–41. http://dx.doi.org/10.1016/j.matpr.2021.02.674.

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Dissertations / Theses on the topic "Water quality monitoring"

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Kilungo, Aminata Peter. "Drinking Water Quality Monitoring." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/306073.

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This dissertation involves two different studies. The first concerns the real-time detection of microbial contamination in drinking water using intrinsic fluorescence of the microorganisms. The prototype, “Blinky”, uses LEDs that emit light at 365nm, 590nm, and 635nm for ultraviolet, amber, and red light, respectively. At 365 nm, the cellular components excited include reduced pyridine nucleotides (RPNs), flavins, and cytochromes to distinguish viable bacteria; at 590 nm, the cellular components excited include cytochromes for non-viable bacteria; at 635 nm, the cellular components excited include calcium dipicolinic acid (DPA) for spores. By using these three different wavelengths, the prototype can differentiate between viable and non-viable organisms and also has the potential to detect spores. The aim of this study was to improve the detection limit by modifying the design of the instrument and to establish the detection limit of viable and non-viable bacteria and spores. The instrument was modified by replacing existing LEDs with LEDs that had 50% more intensity. Two additional LEDs were added for amber and red light, bringing the total to four LEDs for each. The LEDs were also positioned closer to the photomultiplier tube so as to increase sensitivity. For UV, only two LEDs were used as previous. The detection limit of the viable bacteria was ~50 live bacteria/L. No change in the intrinsic fluorescence below the concentration of ~10⁸ dead bacteria/L was observed. The results for spore measurements suggested that most of the spores had germinated before or during the measurements and could not be detected. The instrument was successful in detection of viable bacteria and also differentiating viable and non-viable bacteria. The instrument was not successful in detection of spores. The second study was designed to assess the water quality of well construction in southeastern Tanzania. Three designs were tested: Msabi rope pump (lined borehole and covered), an open well converted into a closed well (uncovered well into a covered and lined well), and an open well (uncovered and may or may not be lined). The study looked at the microbial and chemical water quality, as well as turbidity. The survey included 97 water collection points, 94 wells and three rivers. For microbial analysis, heterotrophic plate count (HPC), total coliforms and E. coli tests were performed. Fifteen of these wells were further analyzed for microflora and diversity for wells comparison purposes, using culture methods, followed by polymerase chain reaction (PCR) and genome sequencing. Ten wells out of the fifteen were analyzed for calcium (water hardiness), potassium, nitrates, nitrites, chloride, fluoride, bromide, sulfate, iron, and arsenic. Two water collection points were also selected for organic compound analysis (gasoline components). All samples tested positive for coliforms. Two samples tested positive for Escherichia coli for the lined borehole (Msabi rope pump) and four samples from closed wells. All open wells tested positive for E. coli. There was more microbial diversity in open wells than the closed wells and Msabi rope pumps. Potential bacterial pathogens were detected in seven wells out of the fifteen examined. The wells that tested positive were one Msabi rope pump, one closed well; the rest were from open water sources. Open wells had high turbidity followed by closed wells. Msabi rope pumps had low turbidity comparing to the two wells designs. No traces of gasoline components were detected in any of the water sources. One well out of ten had high amounts of nitrates-nitrogen (> 10 mg/L). The results of this study showed that the Msabi rope pumps performed comparably to the closed wells in terms of microbial quality but performed better with regard to turbidity. The open wells performed poorly in terms of microbial water quality as well and turbidity. There was a statistical difference in HPC, total coliforms, E.coli numbers and turbidity between open wells, closed wells and the Msabi rope pumps. However, there was no statistical difference in HPC, total coliforms and E.coli numbers between the closed wells and Msabi rope pumps. Msabi rope pumps performed better in turbidity
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Clinch, John Richard. "Remote spectrophotometric water quality monitoring." Thesis, University of Hull, 1988. http://hydra.hull.ac.uk/resources/hull:5897.

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The conventional approach to water quality monitoring is to combine periodic sampling with batch analysis in the laboratory. Such a procedure is both labour intensive and time consuming, there are likely to be sample stability and contamination problems, and the information provided is unlikely to be continuous or immediate. This research focussed on the design and construction of fully automated and portable monitors based on flow injection analysis and incorporating solid state photometric detectors. A novel solid state photometric detector was constructed, incorporating light emitting diodes as the light source, which could be used in conjunction with flow injection analysis. Manifolds were studied for a range of species of interest (phosphate, nitrate, ammonia and aluminium) in the field of water quality monitoring and were optimised for their suitability for continuous use. An automated monitor for nitrate was constructed and long term evaluation trials were carried out at several locations for water quality monitoring. Results are also presented for the use of a nitrate monitor in hydroponic cultivation. An automated monitor was also built for the monitoring of ammonia levels in natural waters, which was field tested on the River Avon (Wiltshire). A manifold was also evaluated for the monitoring of residual aluminium levels in drinking water and is currently being commissioned at a water treatment works in Somerset.
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Maher, Duarte. "IoT for fresh water quality monitoring." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235179.

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Water is one of the most important resources in the world. It has direct impact on the daily life ofmankind and sustainable development of society. Water quality affects biological life and has to obeystrict regulations. Traditional water quality assurance methods, used today, involve manual samplingfollowed by laboratory analysis. This process is expensive due to high labour costs for sampling andlaboratory work. Moreover, it lacks real time analysis which is essential to minimise contamination.This thesis aims to find a solution to this problem using IoT sensors and Machine Learning techniquesto detect anomalies in the water quality. The spatial scalability is key requirement when selecting transmissionprotocols, as sensors could be spread around the water network. We consider solutions readilyavailable or soon to be in the market. The key LPWAN technologies studied are: SigFox, LoRaWANand NB-IoT. In general these protocols have many characteristics essential for fresh water monitoring,like long lasting battery life and long range, however, they have many limitations in terms of transmissiondata rates and duty cycles. It is therefore essential to find a solution that would correctly find anomaliesin the water quality but at the same time comply with limited transmission and processing capabilities ofthe node sensors and above mentioned protocols.A trial sensor is already in place in lake M¨alaren and its readings are used for this study. Supervisedmachine learning algorithms such as Logistic Regression, Artificial Neural Network, Decision Tree, OneClass K-NN and Support Vector Machine (SVM) are studied and discussed regarding the data available.SVM is then selected, implemented and optimised to comply with the limitations of IoT. The trade offbetween false anomalies and false normal readings was also discussed.
Vatten ä r en av de viktigaste resurserna i vä rlden. Det har direkt inverkan på mä nsklighetens dagliga liv och samhä llets hå llbara utveckling. Vattenkvaliteten på verkar det biologiska livet och må ste fö lja strikta fö reskrifter. Traditionella metoder fö r vattenkvalitetssä kring, som anvä nds idag, innefattar manuell provtagning fö ljt av laboratorieanalys. Denna process ä r dyr på grund av hö ga arbetskostnader fö r provtagning och laboratoriearbete. Dessutom saknar den realtidsanalys som ä r vä sentlig fö r att minimera‌fö rorening.Avhandlingen syftar till att hitta en lö sning på detta problem med hjä lp av IoT-sensorer och maskinlä rningsteknik fö r att upptä cka avvikelser i vattenkvaliteten. Den spatiala skalbarheten ä r ett viktigt krav vid val av ö verfö ringsprotokoll, eftersom sensorer kan spridas runt vattennä tverket. Vi diskuterar lö sningar som ä r lä ttillgä ngliga eller snart ska vara på marknaden. De viktigaste LPWAN-teknikerna som studerats ä r: SigFox, LoRaWAN och NB-IoT. Generellt har dessa protokoll må nga egenskaper som ä r nö dvä ndiga fö r ö vervakning av fä rskvatten, som lå ng batterilivslä ngd och lå ng rä ckvidd, men de har må nga begrä nsningar vad gä ller ö verfö ringshastighet och arbetscykel. Det ä r dä rfö r viktigt att hitta en lö sning som skulle hitta anomalier vid hö gt sä kerhet men samtidigt ö verensstä mmer med begrä nsade ö verfö ringsoch bearbetningskapaciteter hos sensorerna och de ovan nä mnda protokoll.En fö rsö kssensor finns redan på plats i Lake Mä laren och dess avlä sningar anvä nds fö r dennastudie.Ö vervakade maskininlä rningsalgoritmer, så som Logistic Regression, Artificial Neural Network,Decision Tree, One Class K-NN and Support Vector Machine (SVM) studeras och diskuteras beträ ffande tillgä ngliga data. SVM vä ljs sedan, implementeras och optimeras fö r att uppfylla IoTs begrä nsningarna.Balansen mellan falska avvikelser och falska normala avlä sningar diskuteras också .
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Khakipoor, Banafsheh. "Applied Science for Water Quality Monitoring." University of Akron / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1595858677325397.

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Griffiths, Ian Martin. "Automatic river quality monitoring." Thesis, Brunel University, 1991. http://bura.brunel.ac.uk/handle/2438/7870.

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Automatic river quality monitoring (ARQM) is potentially an important tool in water quality management for the National Rivers Authority (NRA) and similar organisations worldwide. The information produced by ARQM systems must be used in the most effective way and fully integrated with the manual monitoring effort. The status and development of ARQM systems in the freshwater and estuarine River Thames catchment are discussed and a practical appraisal of the design, operation and maintenance requirements given. Data capture, verification and presentation methods are developed and the use of ARQM data for real time management and subsequent analysis is advocated. Examples of data from the freshwater ARQM system are given which emphasise the variability of freshwater quality and the need for a comprehensive understanding of the behaviour of rivers before management decisions are made. The use of ARQM data for assessing the compliance of rivers with River Quality Objectives is examined. With respect to the tidal Thames, data processing methods to correct for the tidal movement of the waterbody are developed. ARQM data are used to highlight the principal factors affecting the water quality of the tidal Thames. The importance of the use of ARQM information in the effective management of the tidal Thames is discussed and operational examples demonstrate how it may be utilised as a basis for management decisions. The application of ARQM to the sub-tropical environment of the River Ganges, India, is investigated. An ARQM system has been designed and prototypes are operational. Extensive site surveys were carried out and the water quality status of the Ganges is discussed. Recommendations for the improvement and future development of ARQM systems are made. The use of ARQM information and its potential for improving the management of rivers is discussed.
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Getting, Dominic Talboys Joseph. "An assessment of passive monitoring technology for water quality monitoring." Thesis, Royal Holloway, University of London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412311.

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Sherchan, Samendra Prasad. "Monitoring Microbial Water Quality via Online Sensors." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/293470.

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To protect public health, detection and treatment technologies have been improved to monitor and inactivate pathogens in drinking water. The goal of this dissertation is to evaluate and utilize multiple online sensors and advanced oxidation processes to document both the detection as well as destruction of microbial contaminants in real-time. Reviews of rapid detection technologies for real-time monitoring of pathogens in drinking water and advanced technologies to inactivate pathogens in water are shown in Appendices A and B. The study in Appendix C evaluated the efficacy of real-time sensors for the detection of microbial contaminants. Bacillus thuringiensis was used in this research as a surrogate for Bacillus anthracis to determine each sensor response and detection capability. The minimum threshold responses of sensors were determined by injecting B.thuringiensis into deionized (DI), raw (unfiltered) tap water, or filtered tap water over a concentration range of 10² - 10⁵ spores/ml. The BioSentry sensor responded to increases in concentration over the range of 10² - 10⁵ spores/ml. Below this range, sensors provided signals undistinguishable from background noise. The select sensors can detect microbial water quality changes, and these advanced technologies can be integrated to monitor intrusion events in water distribution systems. The study in Appendix D evaluated the efficiency of the UV reactor for inactivation of MS2 coliphage. The virus MS2 coliphage (ATCC 15597-B1) has been proposed by the U.S. Environmental Protection Agency as a standard for UV reactor validation in the United States. In addition, MS2 is used as a surrogate for enteric viruses due to its similar size and morphology. Following UV radiation at a flow rate of 2gpm, infective MS2 showed a reduction of 5.3- log₁₀ when quantified with cultural plaque counts, whereas corresponding quantitative polymerase chain reaction (qPCR) data showed only a 1.7- log₁₀ reduction in viral RNA copy number. In contrast, plaque assay revealed a 5.8- log₁₀ inactivation; a slight increase in infective MS2 coliphage reduction at 1 gal per min but qPCR results indicate a 2.8- log₁₀ reduction in viral RNA copy number; a one log more inactivation compared to 2 gpm. When H₂O₂ was added at either 2.5 or 5 mg/l with UV at either flow rate, enhanced MS2 inactivation occurred with a greater than 7 log₁₀ reduction observed via plaque counts, indicating that all added MS2 had been inactivated, since no plaques were formed after incubation at 37°C for 24 hours. Correspondingly, qPCR data only showed a 3-4 log₁₀ reduction in viral RNA copy number. The study in Appendix E utilized online sensor to document the destruction of E.coli and Bacillus thuringiensis spores by UV/H₂O₂ treatment. In this study, Escherichia coli was tested for potential UV/H2O2 treatment in DI water and online sensors were also integrated to monitor the destruction in real-time. Pilot-scale experiments were performed using a Trojan UVSwift SC reactor (Trojan Technologies, London, ON, Canada) at a flow rate of 1 gal./min (gpm). UV radiation and UV/H₂O₂ combination in E.coli cell suspensions resulted in a >6 log₁₀ reduction of the viable counts. Similar exposure to B.thuringiensis spores resulted in a 3 log₁₀ reduction in viable counts. Scanning electron microscopy of the treated samples revealed severe damage on the surface of most E.coli cells, yet there was no significant change observed in the morphology of the B. thuringiensis spores. Following UV/H₂O₂ exposure, the BioSentry sensor showed an increase in the unknown, rod and spores counts, and did not correspond well when compared to viable counts assays. Data from this study show that advanced oxidation processes effectively inactivate E. coli vegetative cells, but not B.thuringiensis spores which were more resistant to UV/H₂O₂.
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Wang, Teng. "Water Quality Monitoring System based on WSN." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107735.

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With the growth of economy in recent years, the water quality monitoring becomes a critical issue about water pollution. Water Quality Monitoring has a big influence on the aquaculture management, waste water treatment, drinking water and some other applications. There is a trend to build a wireless sensor network system for water quality monitoring. This system detects pH, conductivity, dissolved oxygen, turbidity, temperature, ORP (Oxidation-Reduction Potential), BOD (Biochemical Oxygen Demand), Flow and etc. Some important electrochemical parameters of water quality should also be detected, like Ca2+, Mg2+, Cl2, Cl-, NO3-, NH3+, CO2/CO32-, F-, BF4-, K+, Na+. The water quality monitoring system should guarantee the accuracy, security and reliability. In this paper, I research an integrated system model for water quality monitoring system which is based on chlorine analyzer, turbidity meter, pH meter, conductivity meter, dissolved oxygen meter and so on. I analyze the water quality monitoring program according to different physical environment.
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Benson, Richard Lynn. "On-line monitoring of water quality parameters." Thesis, University of Hull, 1991. http://hydra.hull.ac.uk/resources/hull:8391.

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Chapter one summarises the development of UK legislation for the protection of the aquatic environment, and highlights current EC legislative requirements for water quality. The need for on-line water quality monitoring and the alternative instrumental approaches to it are discussed, together with the philosophy of "easy care instrumentation" and water industry requirements for online analysers. A simple spectrophotometric FI system is proposed for the on-line determination of a range of water quality parameters. The following chapter details instrumentation used in the FI system, emphasising the solid-state photometric detector. Development of an FI manifold for the determination of aluminium in potable and treated waters is covered in the next chapter. The method, based on complexation of aluminium with pyrocatechol violet is compared with a standard Driscoll procedure. Details of the construction and testing of a fully automated FI instrument are also given. Chapter four describes the development of a modular automated FI monitor with a PC compatible STEbus based computer system. Successful operation of this monitor is illustrated by its application to the determination of residual coagulants (aluminium and iron). Full details of software routines for control, processing and validation are given together with results from a tap water trial for dissolved aluminium. The FI determination of residual iron by its complexation with ferene S, and the application of the optimised method in the STEbus based monitor is detailed in chapter five. In the final chapter the use of on-line FI oxidation procedures for the determination of dissolved organic carbon are examined. The oxidation of a wide range of organic species to carbon dioxide using a silver catalysed persulphate reaction, enhanced with UV irradiation and a stopped-flow procedure is described. The sequential determination of inorganic and organic carbon without separation of the fractions is also investigated.
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Lewis, Grace. "Generator-collector sensors for water quality monitoring." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678853.

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The detection of emerging environmental contaminants at trace levels is a huge challenge for analytical research, and when expensive laboratory equipment is required, it is essential to provide a cheaper method that can ultimately undertake real-time sampling, whilst maintaining the sensitivity and reliability of current monitoring procedures. Electrochemical methods are a suitable candidate and studies into the development of submicron-gap generator-collector electrodes are provided alongside a variety of electrochemical methods. The aim of this project is to fabricate novel, low-cost, electrochemical devices with the potential for development into sensors for water quality monitoring. Nitrobenzene, Phosphate and Hydroquinone are the analytes used as they have well-known redox pathways and are known environmental pollutants and/or markers for other emerging contaminants. Initial studies examine the use of square wave voltammetry experiments in generator-collector mode, to provide information on either the fully reduced species or the intermediate species, depending on the buffered conditions used, with a view to detecting short-lived intermediates. Drawbacks with electrode geometry see the development of junction electrodes with larger active areas for greater sensitivity and changes in electrode materials for more robust device with a wider potential window. Generator-collector electrodes are also demonstrated as devices in electrochemical flow injection and for anion transfer at a triple phase boundary.
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Books on the topic "Water quality monitoring"

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Minnesota. Legislature. Office of the Legislative Auditor., ed. Water quality monitoring. Saint Paul, Minn: Office of the Legislative Auditor, State of Minnesota, 1987.

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Bartram, Jamie. Water Quality Monitoring. London: Taylor & Francis Group Plc, 2003.

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Canada. Ecosystem Sciences and Evaluation Directorate. Eco-health Branch., ed. Quality assurance in water quality monitoring. Ottawa: Eco-Health Branch, Ecosystem Sciences and Evaluation Directorate, 1993.

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River water quality monitoring. Chelsea, Mich: Lewis Publishers, 1985.

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Harmancioglu, Nilgun B., Okan Fistikoglu, Sevinc D. Ozkul, Vijay P. Singh, and M. Necdet Alpaslan. Water Quality Monitoring Network Design. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9155-3.

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Organization, World Meteorological, ed. Manual on water-quality monitoring. Geneva, Switzerland: Secretariat of the World Meteorological Organization, 1988.

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Nilgun, Harmancioǧlu, ed. Water quality monitoring network design. Dordrecht: Kluwer Academic Publishers, 1999.

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Harmancioglu, Nilgun B. Water Quality Monitoring Network Design. Dordrecht: Springer Netherlands, 1999.

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Geological Survey (U.S.), University of Iowa. Hygienic Laboratory., and Iowa Geological Survey, eds. Iowa ground-water-quality monitoring program. [Iowa City, Iowa]: The Survey, 1985.

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Geological Survey (U.S.), University of Iowa. Hygienic Laboratory, and Iowa Geological Survey, eds. Iowa ground-water-quality monitoring program. [Iowa City, Iowa]: The Survey, 1985.

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Book chapters on the topic "Water quality monitoring"

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Scardi, Michele, Lorenzo Tancioni, and Stefano Cataudella. "Monitoring Methods Based on Fish." In Water Quality Measurements, 135–53. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470863781.ch8.

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Clausen, John C. "Water Quality and Monitoring." In Fresh Water and Watersheds, 257–63. Second edition. | Boca Raton: CRC Press, [2020] | Revised edition of: Encyclopedia of natural resources. [2014].: CRC Press, 2020. http://dx.doi.org/10.1201/9780429441042-36.

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Sandin, Leonard, and Nikolai Friberg. "Biological Monitoring of North European Rivers." In Water Quality Measurements, 277–93. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470863781.ch15.

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Verdonschot, Piet F. M. "Beyond Biological Monitoring: An Integrated Approach." In Water Quality Measurements, 435–59. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470863781.ch23.

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Ciutti, Francesca, and Giovanna Flaim. "Monitoring of Alpine Rivers: The Italian Experience." In Water Quality Measurements, 261–75. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470863781.ch14.

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Prygiel, Jean, and Jacques Haury. "Monitoring Methods Based on Algae and Macrophytes." In Water Quality Measurements, 155–70. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470863781.ch9.

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Mancini, Laura. "Organization of Biological Monitoring in the European Union." In Water Quality Measurements, 171–201. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470863781.ch10.

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Cardoso, Ana Cristina, Angelo Giuseppe Solimini, and Guido Premazzi. "Biological Monitoring of Rivers and European Water Legislation." In Water Quality Measurements, 229–40. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470863781.ch12.

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De Pauw, Niels, Wim Gabriels, and Peter L. M. Goethals. "River Monitoring and Assessment Methods Based on Macroinvertebrates." In Water Quality Measurements, 111–34. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470863781.ch7.

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Cantor, Abigail F. "Strategic Planning for Improved Water Quality." In Water Distribution System Monitoring, 33–52. 2nd edition. | Boca Raton : Taylor & Francis, CRC Press, 2017.: CRC Press, 2018. http://dx.doi.org/10.1201/9781315160634-4.

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Conference papers on the topic "Water quality monitoring"

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Davidson, W. S. "Water quality monitoring." In Proceedings of SOUTHCON '94. IEEE, 1994. http://dx.doi.org/10.1109/southc.1994.498151.

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Singh, Saurabh, Anurag Kumar Singh, Vishwanath Gupta, and Yogesh Kumar. "Water Quality Monitoring." In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, 2022. http://dx.doi.org/10.1109/icac3n56670.2022.10074257.

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Gujral, Amod, Arushi Bhalla, and D. Biswas. "Automatic water level and water quality monitoring." In Ninth International Symposium on Field Measurements in Geomechanics. Australian Centre for Geomechanics, Perth, 2015. http://dx.doi.org/10.36487/acg_rep/1508_35_gujral.

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Yu, Ziwen, Yifu Sheng, Hao Li, Peilun Li, Jianjun Zhang, Ke Xiao, Li Wang, and Haijun Lin. "Water Quality Classification Evaluation based on Water Quality Monitoring Data." In 2023 11th International Conference on Information Systems and Computing Technology (ISCTech). IEEE, 2023. http://dx.doi.org/10.1109/isctech60480.2023.00102.

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Nizar, N. B., N. R. Ong, M. H. A. Aziz, J. B. Alcain, W. M. W. N. Haimi, and Z. Sauli. "Portable water quality monitoring system." In 3RD ELECTRONIC AND GREEN MATERIALS INTERNATIONAL CONFERENCE 2017 (EGM 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5002496.

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Barnett, Angel V., and Jennifer Light. "HELLS CANYON WATER QUALITY MONITORING." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-307430.

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Chang, Xiaopeng, Xiang Li, Dekai Wen, Xiyu Zhang, Wei Yang, and Dejun Wang. "Multiple water quality monitoring platform." In 2020 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2020. http://dx.doi.org/10.1109/icvrv51359.2020.00081.

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Prasad, A. N., K. A. Mamun, F. R. Islam, and H. Haqva. "Smart water quality monitoring system." In 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE). IEEE, 2015. http://dx.doi.org/10.1109/apwccse.2015.7476234.

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Dennis Lack, Joe Castro, and First Name Middle Name Surname. "Portable Water Quality Monitoring System." In Watershed Management to Meet Water Quality Standards and TMDLS (Total Maximum Daily Load) Proceedings of the 10-14 March 2007, San Antonio, Texas. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2007. http://dx.doi.org/10.13031/2013.22462.

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Wiranto, Goib, Yudi Yuliyus Maulana, I. Dewa Putu Hermida, Iqbal Syamsu, and Dadin Mahmudin. "Integrated online water quality monitoring." In 2015 International Conference on Smart Sensors and Application (ICSSA). IEEE, 2015. http://dx.doi.org/10.1109/icssa.2015.7322521.

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Reports on the topic "Water quality monitoring"

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Raikow, David, and Kelly Kozar. Quality assurance plan for water quality monitoring in the Pacific Island Network. National Park Service, 2023. http://dx.doi.org/10.36967/2300648.

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In accordance with guidelines set forth by the National Park Service Inventory and Monitoring Division, a quality-assurance plan has been created for use by the Pacific Island Network in the implementation of water quality monitoring protocols, including the marine water quality protocol (Raikow et al. 2023) and future water quality protocols that will address streams and standing waters. This quality-assurance plan documents the standards, policies, and procedures used by the Pacific Island Network for activities specifically related to the collection, processing, storage, analysis, and publication of monitoring data. The policies and procedures documented in this quality assurance plan complement quality assurance efforts for other components of the overall protocol workflow, including initial creation of the protocol as described in the protocol narrative and quality assurance plans for other monitoring activities conducted by the Pacific Island Network.
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Raikow, David, and Kelly Kozar. Quality assurance plan for water quality monitoring in the Pacific Island Network. National Park Service, 2023. http://dx.doi.org/10.36967/2300662.

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In accordance with guidelines set forth by the National Park Service Inventory and Monitoring Division, a quality-assurance plan has been created for use by the Pacific Island Network in the implementation of water quality monitoring protocols, including the marine water quality protocol (Raikow et al. 2023) and future water quality protocols that will address streams and standing waters. This quality-assurance plan documents the standards, policies, and procedures used by the Pacific Island Network for activities specifically related to the collection, processing, storage, analysis, and publication of monitoring data. The policies and procedures documented in this quality assurance plan complement quality assurance efforts for other components of the overall protocol workflow, including initial creation of the protocol as described in the protocol narrative and quality assurance plans for other monitoring activities conducted by the Pacific Island Network.
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Maynard, D. L. Ground-water-quality monitoring networks in Alaska. Alaska Division of Geological & Geophysical Surveys, 1988. http://dx.doi.org/10.14509/1369.

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Katz, C., and Ignacio D. Rivera. Santa Margarita Lagoon Water Quality Monitoring Data. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada568985.

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Sherri White Williamson, Sherri White Williamson. Water quality monitoring in Sampson County, NC. Experiment, December 2021. http://dx.doi.org/10.18258/23354.

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Maynard, D. L. An evaluation of ground-water quality monitoring in Alaska. Alaska Division of Geological & Geophysical Surveys, 1988. http://dx.doi.org/10.14509/2460.

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Betsill, Jeffrey David, Adriane C. Littlefield, Frederick O. Luetters, and Gaurav Rajen. South Asia transboundary water quality monitoring workshop summary report. Office of Scientific and Technical Information (OSTI), April 2003. http://dx.doi.org/10.2172/913533.

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Soballe, David M., and Jeffrey N. Houser. Long Term Resource Monitoring Program Water Quality Component Review. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada451488.

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Kilgore, M. M., and R. J. Langel. Water quality monitoring in the Yellow River Watershed 2005. Iowa City, Iowa: Iowa Department of Natural Resources, 2006. http://dx.doi.org/10.17077/rep.006499.

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Cole, Thomas M. Review of Water Quality Monitoring and Recommendations for Water Quality Modeling of the Lower St. Johns River. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada294573.

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