Bibliographies thématiques / Comprehensive Environmental Data Archive

Littérature scientifique sur le sujet « Comprehensive Environmental Data Archive »

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Publié le 25 juillet 2024

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Articles de revues sur le sujet "Comprehensive Environmental Data Archive"

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Suh, Sangwon. « Developing a sectoral environmental database for input–output analysis : the comprehensive environmental data archive of the US ». Economic Systems Research 17, no 4 (décembre 2005) : 449–69. http://dx.doi.org/10.1080/09535310500284326.

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Dietze, Michael. « The R package “eseis” – a software toolbox for environmental seismology ». Earth Surface Dynamics 6, no 3 (17 août 2018) : 669–86. http://dx.doi.org/10.5194/esurf-6-669-2018.

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Abstract. Environmental seismology is the study of the seismic signals emitted by Earth surface processes. This emerging research field is at the intersection of seismology, geomorphology, hydrology, meteorology, and further Earth science disciplines. It amalgamates a wide variety of methods from across these disciplines and ultimately fuses them in a common analysis environment. This overarching scope of environmental seismology requires a coherent yet integrative software which is accepted by many of the involved scientific disciplines. The statistic software R has gained paramount importance in the majority of data science research fields. R has well-justified advances over other mostly commercial software, which makes it the ideal language to base a comprehensive analysis toolbox on. The article introduces the avenues and needs of environmental seismology, and how these are met by the R package eseis. The conceptual structure, example data sets, and available functions are demonstrated. Worked examples illustrate possible applications of the package and in-depth descriptions of the flexible use of the functions. The package has a registered DOI, is available under the GPL licence on the Comprehensive R Archive Network (CRAN), and is maintained on GitHub.
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Howkins, Adrian, Stephen M. Chignell, Poppie Gullett, Andrew G. Fountain, Melissa Brett et Evelin Preciado. « A digital archive of human activity in the McMurdo Dry Valleys, Antarctica ». Earth System Science Data 12, no 2 (13 mai 2020) : 1117–22. http://dx.doi.org/10.5194/essd-12-1117-2020.

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Abstract. Over the last half century, the McMurdo Dry Valleys (MDV) of East Antarctica have become a globally important site for scientific research and environmental monitoring. Historical data can make important contributions to current research activities and environmental management in Antarctica but tend to be widely scattered and difficult to access. We address this need in the MDV by compiling over 5000 historical photographs, sketches, maps, oral interviews, publications, and other archival resources into an online digital archive. The data have been digitized and georeferenced using a standardized metadata structure, which enables intuitive searches and data discovery via an online interface. The ultimate aim of the archive is to create as comprehensive as possible a record of human activity in the MDV to support ongoing research, management, and conservation efforts. This is a valuable tool for scientists seeking to understand the dynamics of change in lakes, glaciers, and other physical systems, as well as humanistic inquiry into the history of the Southern Continent. In addition to providing benchmarks for understanding change over time, the data can help target field sampling for studies working under the assumption of a pristine landscape by enabling researchers to identify the date and extent of past human activities. The full database is accessible via a web browser-based interface hosted by the McMurdo Long Term Ecological Research site: http://mcmurdohistory.lternet.edu/ (last access: 5 May 2020). The complete metadata data for all resources in the database are also available at the Environmental Data Initiative: https://doi.org/10.6073/pasta/6744cb28a544fda827805db123d36557 (Howkins et al., 2019).
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Kunduru, Arjun Reddy, et Ravikiran Kandepu. « Data Archival Methodology in Enterprise Resource Planning Applications (Oracle ERP, Peoplesoft) ». Journal of Advances in Mathematics and Computer Science 38, no 9 (7 août 2023) : 115–27. http://dx.doi.org/10.9734/jamcs/2023/v38i91809.

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Enterprise Resource Planning (ERP) applications such as Oracle ERP and PeopleSoft play a critical role in managing and organizing vast amounts of data for businesses. As the volume of data within these applications continues to grow, organizations face challenges related to data storage, performance, and compliance with data retention policies. A robust data archival methodology is essential to address these challenges and ensure efficient and effective data management. This paper presents a comprehensive study on data archival methodology specifically tailored for Oracle ERP and PeopleSoft applications. The methodology encompasses a systematic approach to identify, categorize, and archive data based on its relevance, usage, and regulatory requirements. It focuses on achieving optimal data retention and retrieval while minimizing the impact on system performance and storage requirements. The proposed methodology covers various aspects of data archival, including data identification and classification, archival policies and rules, archival strategies, and post-archival data management. It explores techniques for selecting and extracting data from the ERP applications, transforming it into a suitable archival format, and securely storing it in archival repositories or storage systems. The paper also discusses considerations for indexing, searching, and retrieving archived data efficiently. Furthermore, the study highlights the importance of data integrity, security, and compliance in the archival process. It addresses strategies for ensuring the integrity and authenticity of archived data, implementing access controls and encryption mechanisms, and adhering to regulatory requirements, such as data privacy and protection regulations. To validate the effectiveness of the proposed methodology, case studies and real-world examples are presented, demonstrating its successful implementation in Oracle ERP and PeopleSoft environments. The benefits of the methodology, including improved system performance, reduced storage costs, and simplified compliance with data retention policies, are discussed based on these case studies.
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Gold, Zachary, Adam R. Wall, Teia M. Schweizer, N. Dean Pentcheff, Emily E. Curd, Paul H. Barber, Rachel S. Meyer et al. « A manager’s guide to using eDNA metabarcoding in marine ecosystems ». PeerJ 10 (15 novembre 2022) : e14071. http://dx.doi.org/10.7717/peerj.14071.

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Environmental DNA (eDNA) metabarcoding is a powerful tool that can enhance marine ecosystem/biodiversity monitoring programs. Here we outline five important steps managers and researchers should consider when developing eDNA monitoring program: (1) select genes and primers to target taxa; (2) assemble or develop comprehensive barcode reference databases; (3) apply rigorous site occupancy based decontamination pipelines; (4) conduct pilot studies to define spatial and temporal variance of eDNA; and (5) archive samples, extracts, and raw sequence data. We demonstrate the importance of each of these considerations using a case study of eDNA metabarcoding in the Ports of Los Angeles and Long Beach. eDNA metabarcoding approaches detected 94.1% (16/17) of species observed in paired trawl surveys while identifying an additional 55 native fishes, providing more comprehensive biodiversity inventories. Rigorous benchmarking of eDNA metabarcoding results improved ecological interpretation and confidence in species detections while providing archived genetic resources for future analyses. Well designed and validated eDNA metabarcoding approaches are ideally suited for biomonitoring applications that rely on the detection of species, including mapping invasive species fronts and endangered species habitats as well as tracking range shifts in response to climate change. Incorporating these considerations will enhance the utility and efficacy of eDNA metabarcoding for routine biomonitoring applications.
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Williams, Skylar S., Kiel L. Ortega, Travis M. Smith et Anthony E. Reinhart. « Comprehensive Radar Data for the Contiguous United States : Multi-Year Reanalysis of Remotely Sensed Storms ». Bulletin of the American Meteorological Society 103, no 3 (mars 2022) : E838—E854. http://dx.doi.org/10.1175/bams-d-20-0316.1.

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Abstract The Multi-Year Reanalysis of Remotely Sensed Storms (MYRORSS) dataset blends radar data from the WSR-88D network and Near-Storm Environmental (NSE) model analyses using the Multi-Radar Multi-Sensor (MRMS) framework. The MYRORSS dataset uses the WSR-88D archive starting in 1998–2011, processing all valid single-radar volumes to produce a seamless three-dimensional reflectivity volume over the entire contiguous United States with an approximate 5-min update frequency. The three-dimensional grid has an approximate 1 km × 1 km horizontal dimension and is on a stretched vertical grid that extends to 20 km MSL with a maximal vertical spacing of 1 km. Several reflectivity-derived, severe-storm-related products are also produced, which leverage the ability to merge the MRMS and NSE data. Two Doppler velocity-derived azimuthal shear layer maximum products are produced at a higher horizontal resolution of approximately 0.5 km × 0.5 km. The initial period of record for the dataset is 1998–2011. The dataset underwent intensive manual quality control to ensure that all available and valid data were included while excluding highly problematic radar volumes that were a negligible percentage of the overall dataset, but which caused large data errors in some cases. This dataset has applications toward radar-based climatologies, postevent analysis, machine learning applications, model verification, and warning improvements. Details of the manual quality control process are included and examples of some of these applications are presented.
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Pritychenko, B. « 75 Years of Experimental Nuclear Reaction Data Compilations ». EPJ Web of Conferences 284 (2023) : 14002. http://dx.doi.org/10.1051/epjconf/202328414002.

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The comprehensive experimental nuclear reaction data compilations were pioneered at the Metallurgical Laboratory, University of Chicago, and Los Alamos National Laboratory [1, 2] for the Manhattan Project needs. In 1947 many Manhattan Project alumni moved to a newly created Brookhaven National Laboratory (BNL) to work on nuclear physics research and data compilations [3–6] in support of nuclear science and reactor research activities. Since the beginning, the data project has relied heavily on computer technologies available at the time, and Brookhaven compilations have been stored in the Sigma Center Information Storage and Retrieval System (SCISRS) that predated the Exchange Format (EXFOR) database. In the following years, the reaction compilations evolved and gained an international component. Currently, the compilation efforts are coordinated by the Nuclear Reaction Data Centers network (NRDC) worldwide, which was founded in 1979 and operates under the auspices of the International Atomic Energy Agency (IAEA). The data compilations in the USA are coordinated by the National Nuclear Data Center (NNDC), Brookhaven National Laboratory for the United States Nuclear Data Program (USNDP). The database compilations represent one of the oldest continuously-operated scientific collaborations that continue to archive and disseminate nuclear data for nuclear science and technology.
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Zhou, Fei, Jie Ren, Yuwen Liu, Xiaoxi Li, Weiqun Wang et Cen Wu. « Interep : An R Package for High-Dimensional Interaction Analysis of the Repeated Measurement Data ». Genes 13, no 3 (19 mars 2022) : 544. http://dx.doi.org/10.3390/genes13030544.

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We introduce interep, an R package for interaction analysis of repeated measurement data with high-dimensional main and interaction effects. In G × E interaction studies, the forms of environmental factors play a critical role in determining how structured sparsity should be imposed in the high-dimensional scenario to identify important effects. Zhou et al. (2019) (PMID: 31816972) proposed a longitudinal penalization method to select main and interaction effects corresponding to the individual and group structure, respectively, which requires a mixture of individual and group level penalties. The R package interep implements generalized estimating equation (GEE)-based penalization methods with this sparsity assumption. Moreover, alternative methods have also been implemented in the package. These alternative methods merely select effects on an individual level and ignore the group-level interaction structure. In this software article, we first introduce the statistical methodology corresponding to the penalized GEE methods implemented in the package. Next, we present the usage of the core and supporting functions, which is followed by a simulation example with R codes and annotations. The R package interep is available at The Comprehensive R Archive Network (CRAN).
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Tachikawa, R., et Y. Kunii. « COMPREHENSIVE QUANTITATIVE UNDERSTANDING OF THE LANDSCAPE USING TLS POINT CLOUD DATA ». International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (30 mai 2022) : 297–302. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-297-2022.

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Abstract. Landscape spaces such as gardens and parks are composed of various landscape components, creating diverse landscapes. In general, the quality of the landscape in these spaces is often judged subjectively by visitors. On the other hand, if landscapes can be evaluated objectively, they can be used to create better spaces in the management and creation of landscaped spaces. In recent years, point cloud data has been acquired in urban and natural spaces. In landscaped spaces, point cloud data is increasingly used for landscape simulation and current state planning. In this study, point cloud data acquired with a terrestrial laser scanner (TLS) in the target space were used to quantitatively characterize the entire landscape using fractal analysis and visual and ecological environmental quality models (VQM). We also segmented these data into components of the point cloud data and calculated the relationship between the data and the occupancy of the components. On the other hand, focusing on environmental visual information received passively from a wide range of environments, we conducted an analysis based on panoramic images created from point cloud data. As a result, both fractal analysis and VQM showed a high correlation with previous research methods in understanding the landscape using point cloud data. In addition, the analysis of the landscape was made more efficient than the conventional photographic analysis by segmenting the components in advance at the data processing stage, demonstrating the usefulness of landscape analysis from data acquired by laser scanners.
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Garmaev, Endon Zh, Anatoly I. Kulikov, Bair Z. Tsydypov, Bator V. Sodnomov et Alexander A. Ayurzhanaev. « Environmental Conditions Of Zakamensk Town (Dzhida River Basin Hotspot) ». GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 12, no 3 (3 octobre 2019) : 224–39. http://dx.doi.org/10.24057/2071-9388-2019-32.

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Ecological problems of Zakamensk town are associated with sand deposits that were formed as a result of mining activities of former Dzhidinsky tungstenmolybdenum plant. Sands are accumulated in large quantities and they contain dangerous concentrations of heavy metals. Desertification in an urbanized area is manifested locally, but it differs from agricultural desertification by a profound and comprehensive destructive change in the components of the environment. Maps of soils, vegetation, types of lands, as well as ecological zoning maps of Zakamensk were created. The basis for the creation of electronic maps using GIS were stock, archive and own materials, topographic maps and remote sensing data. Urbanized desertification in Zakamensk is caused by chemical contamination of sandy eluvium, the spreading of pollutants by water flows and wind currents. Erosion occurs both in the form of flat flushing and linear erosion. The most intensive is gully erosion. Quantitative parameters of temporal variability of the erosive rainfall potential for the Zakamensk town are received. The quantitative characteristics of loads of pollutants on the territory of the town are determined on the basis of the erosion-deflation models. The calculations showed that 204 tons/ha of contaminated sand annually falls into the settlement area with water-erosion flows (Pb – 3.7 tons, W – 4.3 tons). Moreover, active wind activity led to the deposition of more metals (Pb – 5.6 tons, W – 6.5 tons) in the town.
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Thèses sur le sujet "Comprehensive Environmental Data Archive"

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Taylor, Andrew A. « Impact of access, ability, and attitude on teacher and administrator use of data for comprehensive planning ». Connect to resource online, 2009. http://library2.sage.edu/archive/thesis/ED/2009taylor_a.PDF.

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Thesis (E.Ed.)--The Sage Colleges, 2009.
"A Doctoral Research Project presented to Associate Professor Dr. James Butterworth Doctoral Research Committee Chair, School of Education, Sage Colleges." Suggested keywords: strategic planning; data-driven-decision making; Comprehensive District Educational Planning (CDEP); accountability; assessment; No Child Left Behind (NCLB); data; planning; school planning; school improvement; systems thinking; Data Analysis Technical Assistance Group (DATAG); state data; district data; data planning; data use; data access. Includes bibliographical references: (p. 69-75).
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Abdioskouei, Maryam. « Improving Air Quality Prediction Through Characterizing the Model Errors Using Data from Comprehensive Field Experiments ». Thesis, The University of Iowa, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13420451.

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Uncertainty in the emission estimates is one the main reasons for shortcomings in the Chemistry Transport Models (CTMs) which can reduce the confidence level of impact assessment of anthropogenic activities on air quality and climate. This dissertation focuses on understating the uncertainties within the CTMs and reducing these uncertainties by improving emission estimates

The first part of this dissertation focuses on reducing the uncertainties around the emission estimates from oil and Natural Gas (NG) operations by using various observations and high-resolution CTMs. To achieve this goal, we used Weather Research and Forecasting with Chemistry (WRF-Chem) model in conjunction with extensive measurements from two major field campaigns in Colorado. Ethane was used as the indicator of oil and NG emissions to explore the sensitivity of ethane to different physical parametrizations and simulation set-ups in the WRF-Chem model using the U.S. EPA National Emission Inventory (NEI-2011). The sensitivity analysis shows up to 57.3% variability in the modeled ethane normalized mean bias (NMB) across the simulations, which highlights the important role of model configurations on the model performance.

Comparison between airborne measurements and the sensitivity simulations shows a model-measurement bias of ethane up to -15ppb (NMB of -80%) in regions close to oil and NG activities. Under-prediction of ethane concentration in all sensitivity runs suggests an actual under-estimation of the oil and NG emissions in the NEI-2011 in Colorado. To reduce the error in the emission inventory, we developed a three-dimensional variational inversion technique. Through this method, optimal scaling factors up to 6 for ethane emission rates were calculated. Overall, the inversion method estimated between 11% to 15% higher ethane emission rates in the Denver-Julesburg basin compared to the NEI-201. This method can be extended to constrain oil and NG emissions in other regions in the US using the available measurement datasets.

The second part of the dissertation discusses the University of Iowa high-resolution chemical weather forecast framework using WRF-Chem designed for the Lake Michigan Ozone Study (LMOS-2017). LMOS field campaign took place during summer 2017 to address high ozone episodes in coastal communities surrounding Lake Michigan. The model performance for clouds, on-shore flows, and surface and aircraft sampled ozone and NOx concentrations found that the model successfully captured much of the observed synoptic variability of onshore flows. Selection of High-Resolution Rapid Refresh (HRRR) model as initial and boundary condition, and the Noah land surface model, significantly improved comparison of meteorology variables to both ground-based and aircraft data. Model consistently underestimated the daily maximum concentration of ozone. Emission sensitivity analysis suggests that increase in Hydrocarbon (HC). Variational inversion method and measurements by GeoTAS and TROPOMI instruments and airborne and ground-based measurements can be used to constrain NOx emissions in the region.

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Whitman, Derek C. « Investigating Virtual Globes for a Prototype Community Archive of 3D Subsurface Data ». BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4105.

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Geoscience data sharing and processing is very advanced in terms of surface data. Subsurface data sharing has not received the attention that surface data sharing has received and so there are fewer applications or software packages which focus on it. This research is funded by the NSF EarthCube GEO Domain program in an effort to develop a continental-scale repository of 3D subsurface data to facilitate the sharing of complex 3D data and to enable the development of geoprocessing tools and workflows that operate on that data. The work in this thesis is a small part of the EarthCube project with two parts. The first part is to research current tools for 3D subsurface data visualization, specifically virtual globes, and to recommend one for use in the development of the EarthCube project. The second part is to develop an online prototype visualization platform for the EarthCube project referred to as the "Digital Crust" using the recommended virtual globe. Additional work was done with the Digital Crust to develop geoprocessing tools to show the ability for the Digital Crust to work with a data repository. These tools convert geoscience data file types, and interpolate soil cross-sections from borehole log data.
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Abdioskouei, Maryam. « Improving air quality prediction through characterizing the model errors using data from comprehensive field experiments ». Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6535.

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Uncertainty in the emission estimates is one the main reasons for shortcomings in the Chemistry Transport Models (CTMs) which can reduce the confidence level of impact assessment of anthropogenic activities on air quality and climate. This dissertation focuses on understating the uncertainties within the CTMs and reducing these uncertainties by improving emission estimates The first part of this dissertation focuses on reducing the uncertainties around the emission estimates from oil and Natural Gas (NG) operations by using various observations and high-resolution CTMs. To achieve this goal, we used Weather Research and Forecasting with Chemistry (WRF-Chem) model in conjunction with extensive measurements from two major field campaigns in Colorado. Ethane was used as the indicator of oil and NG emissions to explore the sensitivity of ethane to different physical parametrizations and simulation set-ups in the WRF-Chem model using the U.S. EPA National Emission Inventory (NEI-2011). The sensitivity analysis shows up to 57.3% variability in the modeled ethane normalized mean bias (NMB) across the simulations, which highlights the important role of model configurations on the model performance. Comparison between airborne measurements and the sensitivity simulations shows a model-measurement bias of ethane up to -15ppb (NMB of -80%) in regions close to oil and NG activities. Under-prediction of ethane concentration in all sensitivity runs suggests an actual under-estimation of the oil and NG emissions in the NEI-2011 in Colorado. To reduce the error in the emission inventory, we developed a three-dimensional variational inversion technique. Through this method, optimal scaling factors up to 6 for ethane emission rates were calculated. Overall, the inversion method estimated between 11% to 15% higher ethane emission rates in the Denver-Julesburg basin compared to the NEI-201. This method can be extended to constrain oil and NG emissions in other regions in the US using the available measurement datasets. The second part of the dissertation discusses the University of Iowa high-resolution chemical weather forecast framework using WRF-Chem designed for the Lake Michigan Ozone Study (LMOS-2017). LMOS field campaign took place during summer 2017 to address high ozone episodes in coastal communities surrounding Lake Michigan. The model performance for clouds, on-shore flows, and surface and aircraft sampled ozone and NOx concentrations found that the model successfully captured much of the observed synoptic variability of onshore flows. Selection of High-Resolution Rapid Refresh (HRRR) model as initial and boundary condition, and the Noah land surface model, significantly improved comparison of meteorology variables to both ground-based and aircraft data. Model consistently underestimated the daily maximum concentration of ozone. Emission sensitivity analysis suggests that increase in Hydrocarbon (HC). Variational inversion method and measurements by GeoTAS and TROPOMI instruments and airborne and ground-based measurements can be used to constrain NOx emissions in the region.
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Beckhusen, Benedict. « Mobile Apps and the ultimate addiction to the Smartphone : A comprehensive study on the consequences of society’s mobile needs ». Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-31159.

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The smartphone is omnipresent and is cherished and held close by people. It allows for constant connection within a digitally connected society, as well as for many other purposes such as leisure activity or informational purpose. Within the Information Systems studies deeper investigation is required as to what impact this “taken – for – granted” mobile access to information and mobile apps has for individuals and society and if a “technological addiction”can be developed when using the smartphone for everything during the day on such a constant basis. The aim of this study was to understand the role of the smartphone in society and to shed light on this unclear relationship between the constant use of a smartphone and its development towards an addictive quality. To reach a conclusion, in depth – interviews were conducted with participants about their relationship to the smartphone and their smartphone use based on questions derived from literature on mobile communication technologies and the types of digital addictions existing. The results are that the smartphone is a device that seamlessly integrates into our daily lives in that we unconsciously use it as a tool to make our daily tasks more manageable, and enjoyable. It also supports us in getting better organized, to be in constant touch with family and friends remotely, and to be more mobile which is a useful ability in today’s mobility driven society. Smartphones have been found to inhabit a relatively low potential to addiction. Traits of voluntary behaviour, habitual behaviour, and mandatory behaviour of smartphone use have been found. All of these behaviours are not considered a true addiction. In the end, it seems that the increase of smartphone use is mainly due to the way we communicate nowadays digitally,and the shift in how we relate to our social peers using digital means.
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DI, PIAZZA Annalisa. « THE PROBLEM OF MISSING DATA IN HYDROCLIMATIC TIME SERIES. APPLICATION OF SPATIAL INTERPOLATION TECHNIQUES TO CONSTRUCT A COMPREHENSIVE ARCHIVE OF HYDROCLIMATIC DATA IN SICILY, ITALY ». Doctoral thesis, 2011. http://hdl.handle.net/10447/95492.

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Planning, management and e ective control of water resource systems, require a considerable amount of hydrological data variables such as rainfall, temperature, stream- ow, etc.. Such data are required when a hydrological model has to be developed, as well. Very often hydrological data sequences at a given gauge have gaps or are incomplete, or are not characterized by a good quality or are not su ciently length. This can severely a ect, for example, the reliability of the design of a hydropower plant, the construction of dams, etc. Furthermore, the problem of missing values is a common obstacle in time series analysis and speci cally in the context of rainfall, temperature and rainfall runo processes modelling. There may be various reasons for missing values, for instance equipment failure, errors in measurements or faults in data acquisition, and natural hazards such as landslides, or even temporary absence of observers, the cessation of measurement or absence of observations prior to the commencement of measurement or by limited nancial resources. Whatever the reasons, missing values produce a signi cant problem for water resources applications. Consequently, nding e cient methods to deal with the problem of missing values is an important issue in most hydrological analyses. However, hydrological modellers commonly discard the observations with missing values and only use the observations with complete information, which means that a lot of information contained in the dataset is lost. Furthermore, the approach is inadequate for analyses that require serially complete data. On the other hand, the use of the dataset prone to missing data can result in errors that exhibit temporal and spatial patterns (Stooksburry et al., 1999[Stooksbury1999]). As an alternative to this listwise(?) deletion procedure, modellers sometimes replace (or ll in ) a value for the missing values by using, for example, the mean of the observed variables. Such a procedure could, however, seriously distort statistical properties like standard variation, correlations or percentiles. But the best alternative to the above mentioned approaches consists of lling the gaps in the rainfall, temperature or stream ow time series by estimating the missing values. In fact, the most common approach followed in technical literature is the application of either deterministic or stocastic methods to estimate the missing data. The described problem is so dramatically important within hydrological research that the scienti c community has point out a transnational initiative of international research groups, i.e., the ''Decade on Prediction in Ungauged Basins (PUB)'', a wide research project promoted by the International Association of Hydrological Sciences (Sivapalan et al., 2003). This e ort is particularly focused on the reconstruction of serially incomplete data records in basins with short stream ow records or in ungauged river basins. In this scenario, the individuation and application of the most suitable methods for the accurate estimation of hydrological variable values, useful to ll in the incomplete time series, is of paramount importance and represents the most promising approach to solve the problem of missing data. In particular, once the hydrological variable is de ned together with its speci c characteristic, the choice of the estimation methods and their comparison is necessary to carry out the best reconstruction of the considered variable dataset. The issue of gaps in climatic variables have been the subject of a large number of scienti c works where numerous techniques for estimating missing data values have been implemented and compared. Among these methods, the temporal methods, that taking into account the temporal dependence of the considered variables, have been used and among more advanced methods, the space-time models, i.e. models handling dependence the spatial and temporal simultaneously, has been applied. A group of methods that are also widely used in literature for the missing data estimation are the spatial models which represent the spatial distribution of variables over a speci c duration. Many papers have been dedicated to the comparison between deterministic and stochastic approaches to reconstruct data records and their results suggest that often the use of geostatistical techniques improve the results since they are able to study the pattern of spatial dependences observed for climatic variables; in the particular case of estimation of runo , in some works it was highlighted that considering the runo as an areal process, i.e., considering the strongly dependence of runo with the basin area, improves by far the estimates obtained. Another consideration is common to many works, i.e., that the use of algorithms that incorporate ancillary informations (geographical and morphological) into the spatial estimation of climatic variables improves the obtained estimates. The aim of this thesis is to investigate the methods for the optimal estimation of the missing data in time series of hydrological variables with reference to Sicily (Italy). In particular, the following hydrological variables are object of study: precipitation, temperature and runo . In this thesis only the spatial structural dependence of rainfall, temperature and runo data is used to reconstruct missing data, neglecting the spatial-temporal dependence. On the basis of the variables speci ed, di erent estimation methods have been considered, described and applied to solve the problem of missing data. With regard to the variables as precipitation and temperature, that can be represented as point processes, the following algorithms, used for the spatial interpolation, will be applied: inverse distance weighting, radial basis function with thin plate spline, simple linear regression, multiple regression, geographically weighted regression, arti cial neural network, ordinary kriging, residual ordinary kriging. With the applications of these methods, serially complete monthly and annual dataset will be obtained. On the other hand, for the runo , the proposed investigation stems from the consideration that it can be described as an areal process. With this assumption, a more accurate estimation of the considered variable can be obtained. This approach has very few examples in scienti c literature but appears to be very promising in the considered eld. For this reason the estimation method, chosen for the runo , is a stochastic method to derive gridded maps for ner and ner resolution with a geostatistical approach. It is, in particular, a stochastic interpolation system that can be assimilated to kriging system with the explicit consideration of the runo variable as an areal process. The application of this methods will give the annual runo estimated data for the stations that have been out of work in the chosen time window of input runo data and that are characterised by a dataset a ected by missing data. Moreover, it will be possible to obtain the annual runo estimated values also for the areas of the basins not provided with gauge stations. The latter values can be obtained by the gridded map with a certain resolution. It is important to highlight that the previous applications of such an approach are done in homogeneous climatic contexts with favorable conditions of the ow regime to apply the procedure. On the contrary, here, for the rst time, the method is applied in the Sicilian context where both the climatic and morphological pro les are strongly inhomogeneous.
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Livres sur le sujet "Comprehensive Environmental Data Archive"

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S, Greer M., et Space Environment Center (U.S.), dir. Polar orbiting environmental satellite space environment monitor-2 : Instrument description and archive data documentation. Boulder, Colo : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Space Environment Center, 2000.

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S, Greer M., et Space Environment Center (U.S.), dir. Polar orbiting environmental satellite space environment monitor-2 : Instrument description and archive data documentation. Boulder, Colo : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Space Environment Center, 2000.

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Tom, Tibor, et Feldman Ira, dir. Implementing ISO 14000 : A practical, comprehensive guide to the ISO 14000 environmental management standards. New York : McGraw-Hill, 1997.

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CEDA 3.0 User's Guide : A Comprehensive Environmental Data Archive for Economic and Environmental Systems Analysis. Leiden University - Institute of Environmental Science, 2004.

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Barnard, T. Environmental Sampling and Data Analysis : A Comprehensive Guide for Monitoring, Permitting, Site Investigations, and Research. Kluwer Academic Publishers Group, 1996.

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Taberlet, Pierre, Aurélie Bonin, Lucie Zinger et Eric Coissac. Environmental DNA. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.001.0001.

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Environmental DNA (eDNA), i.e. DNA released in the environment by any living form, represents a formidable opportunity to gather high-throughput and standard information on the distribution or feeding habits of species. It has therefore great potential for applications in ecology and biodiversity management. However, this research field is fast-moving, involves different areas of expertise and currently lacks standard approaches, which calls for an up-to-date and comprehensive synthesis. Environmental DNA for biodiversity research and monitoring covers current methods based on eDNA, with a particular focus on “eDNA metabarcoding”. Intended for scientists and managers, it provides the background information to allow the design of sound experiments. It revisits all steps necessary to produce high-quality metabarcoding data such as sampling, metabarcode design, optimization of PCR and sequencing protocols, as well as analysis of large sequencing datasets. All these different steps are presented by discussing the potential and current challenges of eDNA-based approaches to infer parameters on biodiversity or ecological processes. The last chapters of this book review how DNA metabarcoding has been used so far to unravel novel patterns of diversity in space and time, to detect particular species, and to answer new ecological questions in various ecosystems and for various organisms. Environmental DNA for biodiversity research and monitoring constitutes an essential reading for all graduate students, researchers and practitioners who do not have a strong background in molecular genetics and who are willing to use eDNA approaches in ecology and biomonitoring.
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Etzel, Ruth A., et Philip J. Landrigan, dir. Textbook of Children's Environmental Health. 2e éd. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197662526.001.0001.

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Abstract This second edition of the Textbook of Children’s Environmental Health offers an authoritative and comprehensive guide to the field of children’s environmental health. Children are exquisitely sensitive to hazards in the environment. They have unique vulnerabilities that have no counterpart in adult life. Especially during “windows of susceptibility” in early development, exposures to even minute quantities of toxic chemicals and other environmental hazards can trigger cellular changes that result in disease and disability in infancy, childhood, and across the entire span of human life. Edited by two pediatricians who are internationally recognized pioneers, the volume presents information on the chemical, physical, biological and societal hazards that confront children in today’s world: pesticides, indoor and outdoor air pollution, lead, molds, arsenic, phthalates, bisphenol A, brominated flame retardants, per- and polyfluoroalkyl substances, ionizing radiation, electromagnetic fields, and the built environment. It presents carefully documented data on rising rates of disease in children, and it provides a critical summary of new research linking pediatric disease with environmental exposures. It explores the cellular, molecular, and epigenetic mechanisms underlying diseases of environmental origin. At every stage, this volume combines theory with practice and translates scientific findings into evidence-based strategies for the prevention and control of environmental hazards that cause disease in children.
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Yakovlev, Aleksandr, Aleksandr Sizov, Anastasia Gorlenko et Sergey Ogorodnikov. ECOLOGICAL AND LAND MANAGEMENT EXPERTISE AND ISSUES OF ENVIRONMENTAL REGULATION. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1722.978-5-317-06499-0.

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The book outlines the basic concepts in the field of environmental protection, land management, environmental regulation, environmental and land management expertise. The list of objects of environmental expertise has been updated. The problems of land management in connection with the issues of environmental management and environmental expertise of land management documentation are considered. The article presents scientific and legal approaches to the formation of a system of environmental regulation of soil quality. The issues of organizing a comprehensive data Bank and conducting an assessment of the environmental potential of territories are considered. The book is intended for undergraduate students, undergraduates, postgraduates and specialists in the field of ecology and soil science.
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Ray, Sumantra (Shumone), Sue Fitzpatrick, Rajna Golubic, Susan Fisher et Sarah Gibbings, dir. Archiving. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199608478.003.0023.

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This chapter discusses the importance of archiving the data. As well as regulatory advice the requirements of the most useful reference guide, ISO11799, is reviewed. Practical advice on issues such as location, storage, security, and environmental controls is given. The management of the archive from preparation to transfer of data is described. Methods of indexing and cataloguing together with tracking are detailed and systems for retrieval of data are explored. The role of the archivist in audits and inspections is discussed as the content of the TMF will be assessed during audit to ensure a clear audit trail is maintained. Retention times for essential documents are reviewed in the EU the regulation stipulates that data has to be kept for 25 years. As more and more information has to be archived the use of off-site or commercial archives is becoming more common and the additional requirements for a third party service provider are described. The introduction of eArchiving and the associated problems with long term storage of electronic data are discussed along with the various methods that may be used. The FDA issued guidance for electronic data and compliance with this guidance, CFR21 part 11, is vital. CFR 21 part 11 is widely followed within Europe and the standard is frequently referred to by the regulatory inspectors.
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Howard, David, et Amy Hunter. Teaching the Video Production Class. ABC-CLIO, LLC, 2014. http://dx.doi.org/10.5040/9798216023234.

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This guidebook is a must-have resource for anyone teaching a television production class or running a morning news show at the elementary, middle, or high school level. Teaching a television production class is a real challenge, especially when working with the typical budget and time limitations of most elementary, middle, or high school curricula. Beyond the technical aspects of teaching this subject, what is the best way to keep students engaged and challenged while teaching them skills that will help make them college and career ready? Spanning lesson plans, video production activities, assessment, and more, this book supplies a comprehensive, step-by-step guide to teaching a television production class, using whatever equipment is readily available. It focuses on the critical aspects of how to teach television production and organize lessons, rather than the quickly evolving details of what equipment or editing software to use. The authors also provide lessons on creating and executing a daily newscast show, how to evaluate that show and collect school-wide data for further evaluation and improvement, and how to archive and mount these productions on the school website.
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Chapitres de livres sur le sujet "Comprehensive Environmental Data Archive"

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Suh, Sangwon. « Developing the Sectoral Environmental Database for Input-Output Analysis : Comprehensive Environmental Data Archive of the U.S. » Dans Handbook of Input-Output Economics in Industrial Ecology, 689–712. Dordrecht : Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-5737-3_32.

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Manning, Patrick. « Mission 2 : Creating a Comprehensive Historical Archive ». Dans Big Data in History, 61–70. London : Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137378972_5.

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Yow, T. G., S. V. Jennings, J. W. Grubb et A. W. Smith. « Inside an Environmental Data Archive WWW Site ». Dans IFIP Advances in Information and Communication Technology, 168–74. Boston, MA : Springer US, 1997. http://dx.doi.org/10.1007/978-1-5041-2869-8_21.

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González Ávalos, Everardo, Doris Dransch, Nicola Abraham, Valentin Buck, Daniel Eggert, Tom Kwasnitschka, Daniela Rabe, Flemming Stäbler et Viktoria Wichert. « Data Analysis and Exploration with Visual Approaches ». Dans Integrating Data Science and Earth Science, 17–28. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99546-1_3.

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AbstractA comprehensive study of the Earth system and its related processes requires a holistic examination and understanding of multidimensional data acquired with a large number of different sensors or produced by various models. To this end, the Digital Earth project developed a set of software solutions to study environmental data sets using visual approaches. In the following chapter, we present three data visualization products developed to deal with the challenges of the analysis and exploration of environmental data.
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Kaji, Yoshiyuki, Takashi Tsukada, Hirokazu Tsuji et Hajime Nakajima. « Development of a Comprehensive Material Performance Database (JMPD) and Analyses of Irradiation Assisted Stress Corrosion Cracking Data ». Dans Ninth International Symposium on Environmental Degradation of Materials in Nuclear Power Systems-Water Reactors, 987–95. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118787618.ch103.

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Müller, Johannes, Wiebke Kirleis, Jutta Kneisel et Wolfgang Rabbel. « Overarching Patterns of Ancient Transformation in Europe ». Dans Perspectives on Socio-environmental Transformations in Ancient Europe, 343–67. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53314-3_10.

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AbstractCollating insights from preceding chapters, and adding in further data from CRC 1266 research, this final chapter synthesises elements to initiate an understanding of transformation as a general phenomenon across the region. Notably, the identified 14 European transformation phases exhibit diverse regional and local impacts, reflected in the regional transformations studied in this research project.This chapter aims to bring together the ideas presented thus far in this volume in order to spark further development in integrative archaeology by highlighting the nuanced nature of transformations, transcending the conventional categorisation of European prehistory into Stone, Bronze, and Iron Ages. This traditional division based primarily on technological advancements overlooks the multifaceted changes occurring concurrently across various societal forms in diverse environments. Instead, this study emphasises the necessity of considering multiple facets of human-environmental interactions for a comprehensive understanding of transformations. We conclude that comprehensive evaluation of European data to decipher transformation process across social, temporal and spatial scales requires holistic consideration, in order to be able to further develop an anatomy of transformation, which can contribute significantly to refining interpretations and models in archaeological understanding.
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Rietjens, Sebastiaan. « Intelligence in Military Missions : Between Theory and Practice ». Dans Handbook of Military Sciences, 1–20. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-02866-4_96-1.

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AbstractIntelligence is the primary mechanism that military organizations use to generate understanding and its main purpose is to provide information to decision-makers such as commanders that may help illuminate their decision options. This chapter assesses the role of intelligence in military missions, more specifically the counterinsurgency and stabilizations missions that took place in, for example, former Yugoslavia, Iraq, Afghanistan, and Mali.The chapter starts by addressing the changing and increasingly complex nature of many of the conflicts from the 1990s onwards. It explores how this has influenced the use of intelligence and presents two distinct schools of thought. The first school of thought, referred to as Jominian intelligence, tries to unravel the operational environment in a systematic way and regards the intelligence challenges as a series of problems with definite solutions. The second school of thought, referred to as Clausewitzian intelligence, argues that the goal of intelligence is to assess uncertainty and reach a deliberate judgment.The main body of the chapter then analyzes the intelligence process and identifies several of the main intelligence issues within military missions. The intelligence process starts with the direction phase in which policy makers, military commanders, or planners state their needs, often referred to as information requirements. Several issues complicate such direction, including (1) the comprehensive focus of many current military missions, (2) their abstract and ambiguous strategic objectives and expectations, and (3) the military’s unfamiliarity with the area of operations.In the second phase of the intelligence process, the necessary information is collected. In addition to consulting their archives and databases, military units often have a plethora of means, both technical and human, available to collect information. Cross-cultural competencies are of crucial importance, in particular, during the collection phase.The third phase of the intelligence process, labeled processing, turns raw data into intelligence. During the processing phase, the data are analyzed in order to gain understanding or insight. This exceeds the registration of events, but includes understanding the meaning of these events as well as their importance.The fourth and final phase is dissemination of intelligence. Here, the relationship between the producers and consumers of intelligence during military missions is explored. This includes the reasons why consumers sometimes do not fully accept the intelligence they receive.The chapter concludes with an agenda for research on military intelligence. It calls, for example, for a more eclectic author base; multidisciplinary as well as comparative research; increased attention to oversight, ethics, and open source intelligence; and more emphasis on intelligence within the navy, special forces, and constabulary forces.
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Konagai, Kazuo. « Coseismic Stress Changes, Landslides in the 2004 Mid-Niigata Prefecture Earthquake, and Their Impact on Post-quake Rehabilitations ». Dans Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022, 235–46. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-18471-0_19.

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AbstractThe impact of a large inland earthquake is profound because of its intense shakes and the associated landslides and debris flows. The quake-induced landslides and debris flow are often the most devastating secondary effect of an earthquake in terms of all kinds of losses, causing long-lasting problems in post-quake rehabilitation activities. An earthquake-induced landslide is just one scene of ever-evolving mountain topography. Therefore, studying terrain dynamics is vital to comprehend the possibility of hazards and propose and apply rational rehabilitation tactics. Though serious, the damage caused by the Mid-Niigata Prefecture Earthquake of October 23, 2004, has given us a rare opportunity to study the landform changes caused by an earthquake that hit an active-folding mountainous terrain. To deal with rehabilitation problems in a scientific manner, a research program, “Earthquake damage in active-folding areas: the creation of a comprehensive data archive and suggestions for its application to remedial measures for civil-infrastructure systems,” was set up getting the Special Coordination Funds for Promoting Science and Technology, Ministry of Education, Culture, Sports, Science and Technology (MEXT). This article reviews some significant findings obtained through this project and even beyond it. The results show that essential aspects of quake-caused problems were linked to deep-seated tectonic displacements, namely the internal driving stress field associated with earthquakes to evolve the active-folding terrain.
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Guerrini, Federica. « Data-Informed Models for the Coupled Dispersal of Microplastics and Related Pollutants Applied to the Mediterranean Sea ». Dans Special Topics in Information Technology, 3–14. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_1.

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AbstractMicroplastic pollution is a ubiquitous environmental threat, in particular to the oceans. In the marine environment, microplastics are not just passively transported by sea currents, but often get contaminated with organic pollutants during the journey. The uptake of chemicals onto microplastics can worsen the adverse effects of microplastics to marine organisms; however, investigation on this urgent phenomenon is hampered by the impossibility of monitoring and tracking such small plastic fragments during their motion at sea. This work aims at addressing the need for an effective modelling of the advection–diffusion processes jointly involving microplastics and the pollutants they carry to further our understanding of their spatiotemporal patterns and ecological impacts, focusing on the Mediterranean Sea. Here we present the conceptual design, methodological settings, and modelling results of a novel, data-informed 2D Lagrangian–Eulerian modelling framework that simultaneously describes (i) the Lagrangian dispersal of microplastic on the sea surface, (ii) the Eulerian advection–diffusion of selected organic contaminants, and (iii) the gradient-driven chemical exchanges between microplastic particles and chemical pollutants in the marine environment in a simple, yet comprehensive way. Crucial to the realism of our model is exploiting the wide variety and abundance of data linked with drivers of Mediterranean marine pollution by microplastics and chemicals, ranging from national censuses to satellite data of surface water runoff and GPS ship tracking, other than the use of oceanographic reanalyses to inform microplastics’ motion at sea. The results of our method applied to a multi-year simulation contribute to a first basin-wide assessment of the role of microplastics as a vehicle of other pollutants of concern in the marine environment. The framework proposed here is intended as a flexible tool to help advance knowledge towards a comprehensive description of the multifaceted threat of marine plastic pollution and an informed support to targeted mitigation policies.
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Cohen, Andrew S. « Paleoecological Archives in Lake Deposits I : Problems and Methods ». Dans Paleolimnology. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195133530.003.0014.

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Fossils provide some of the most detailed sources of information for environmental reconstruction available to the paleolimnologist. The use of lacustrine fossils to infer paleoenvironmental conditions is fundamentally based on inferences derived from modern correlations between the distribution of organisms and environmental variables, coupled with an understanding of taphonomy, the study of the fossilization process. No single group of organisms provides a comprehensive picture of lake ecosystems or environmental change, so it is always desirable to gather paleoecological records from multiple clades and habitats in a paleolimnological study. Analysis of multiple clades provides a means of establishing or testing ecological hypotheses that may not be possible from the study of one group alone. For example, many limnological processes affect the plankton, littoral organisms, and benthos in predictable sequences, and with predictable intensities. The most comprehensive study of fossil data and data analysis will be meaningless if the fossils studied are misidentified. A good taxonomic framework is an essential element of paleoecological studies. Accurate identification of described species, and the curation of voucher specimens, photographs, and other descriptive materials of undescribed species is important, to insure the quality of a paleolimnologist’s ongoing work, and to avoid future errors based on previously misidentified fossil specimens. Using fossils to interpret lacustrine paleoenvironments requires not only an understanding of modern organism distributions, but also an understanding of four additional factors we did not consider in chapter 5: (1) ecological causality and scale, (2) taphonomy and time-averaging, (3) historical contingency, and (4) evolutionary processes. One of the most common uses of fossil data in lakes is to try and reconstruct changes in some physical or biological forcing process from changes in abundance or morphology of the fossil organisms affected by the process. We might be interested in reconstructing changes in nutrient flux to the lake, based on changes in the relative abundances of some fossil animals. However, these animals actually responded to nutrient load only indirectly, through the effect of nutrient load on autotrophs and/or organic detritus. Now suppose that our ultimate objective is not really to understand productivity changes or nutrients, so much as to understand climate changes that may be driving productivity changes.
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Actes de conférences sur le sujet "Comprehensive Environmental Data Archive"

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McGlynn, Thomas, Giuseppina Fabbiano, Alberto Accomazzi, Alan Smale, Richard L. White, Thomas Donaldson, Alessandra Aloisi et al. « Providing comprehensive and consistent access to astronomical observatory archive data : the NASA archive model ». Dans SPIE Astronomical Telescopes + Instrumentation, sous la direction de Alison B. Peck, Robert L. Seaman et Chris R. Benn. SPIE, 2016. http://dx.doi.org/10.1117/12.2231438.

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Trysnyuk, V., V. Prystupa, T. Trysnyuk, V. Vasylenko et A. Kurylo. « Comprehensive environmental monitoring based on aerospace and ground research data ». Dans Geoinformatics : Theoretical and Applied Aspects 2020. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.2020geo066.

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SUŽIEDELYTĖ VISOCKIENĖ, Jūratė, Eglė TUMELIENĖ, Maris KALINKA, Ingars ERIŅŠ, Viktorija VAIVODE, Lauris GOLDBERGS, Ieva KORNA, Rolands SMIRNOVS et Kirils GOROVOJS. « 3D spatial data for building management case study ». Dans 12th International Conference “Environmental Engineering”. VILNIUS TECH, 2023. http://dx.doi.org/10.3846/enviro.2023.953.

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As the concept of the Metaverse develops, there is more and more discussion about the integration of digital data in various industries. Metaverse as a concept covers the use of various types of technologies and solutions in the virtual environment. This paper presents the application prototype of 3D spatial data in the building management cycle. New buildings and existing buildings contain different types of information: archive information, 3D geometric information, sensor information, etc. The building is not a stand-alone structure, but the plot of land on which it is located or the territory adjacent to it, which contains engineering communications and transport access possibilities, is attached to it. Building construction processes use BIM technologies and the 3D geometric models included in it, the application of which is not always effectively used after the building is built. The article discusses the acquisition, processing, and application of 3D data for the creation, monitoring and use of 3D geometrical models to analyse the life of the building. The article also discusses the issue of updating data during the life of the building and the application of the digital twin concept, applying future scenarios with the help of simulation. The aim of this work is to use 3D technologies, BIM and 3D models with building management.
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Golubova, Blagica, Fjola Fetaji, Jovana Dobreva, Milena Trajanoska, Ana Todorovska, Riste Stojanov et Dimitar Trajanov. « Assessing the Environmental Impact of Plant-Based Diets : A Comprehensive Analysis ». Dans 2023 IEEE International Conference on Big Data (BigData). IEEE, 2023. http://dx.doi.org/10.1109/bigdata59044.2023.10386825.

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Blouin, Martin, et Erwan Gloaguen. « CONTINUOUS DATA PROCESSING FOR COMPREHENSIVE AND EFFECTIVE REFLECTION SEISMIC SURVEY ». Dans Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2014. http://dx.doi.org/10.4133/sageep.27-128.

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Blouin, Martin, et Erwan Gloaguen. « CONTINUOUS DATA PROCESSING FOR COMPREHENSIVE AND EFFECTIVE REFLECTION SEISMIC SURVEY ». Dans Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2014. http://dx.doi.org/10.1190/sageep.27-128.

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Ji, Yingbo, et Chunlin Han. « Research on the Comprehensive Environmental Performance Assessment System for Green Data Centers ». Dans ICCREM 2015. Reston, VA : American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479377.034.

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Chen, Jiajun, Xiaoqing Wang et Haifeng Huang. « A forest fire warning model : using time decay model to calculate comprehensive precipitation index ». Dans 2021 International Conference on Environmental Remote Sensing and Big Data, sous la direction de Yunqiu He et Chih-Huang Weng. SPIE, 2021. http://dx.doi.org/10.1117/12.2625573.

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Kroll, Dan. « A Comprehensive City Wide Platform for Accessing Data and Communicating with Security and Water Quality Monitoring Systems ». Dans World Environmental and Water Resources Congress 2010. Reston, VA : American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41114(371)391.

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Rybalkina, Dina. « COMPREHENSIVE ANALYSIS OF EPIDEMIOLOGICAL (BY THE CLASS OF THE LOCOMOTOR SYSTEM) AND ENVIRONMENTAL DATA ». Dans 18th International Multidisciplinary Scientific GeoConference SGEM2018. Stef92 Technology, 2018. http://dx.doi.org/10.5593/sgem2018/5.3/s28.020.

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Rapports d'organisations sur le sujet "Comprehensive Environmental Data Archive"

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Matejka, L. A. Jr. Quality data validation : Comprehensive approach to environmental data validation. Office of Scientific and Technical Information (OSTI), octobre 1993. http://dx.doi.org/10.2172/10185693.

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Hook,, Les, Suresh Santhana Vannan,, Tammy Beaty,, Bruce Wilson, et Bob Cook,. Best Practices for Preparing Environmental Data Sets to Share and Archive. ORNL Environmental Sciences Division, octobre 2010. http://dx.doi.org/10.3334/ornldaac/bestpractices-2010.

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Ramm-Granberg, Tynan, F. Rocchio, Catharine Copass, Rachel Brunner et Eric Nelsen. Revised vegetation classification for Mount Rainier, North Cascades, and Olympic national parks : Project summary report. National Park Service, février 2021. http://dx.doi.org/10.36967/nrr-2284511.

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Field crews recently collected more than 10 years of classification and mapping data in support of the North Coast and Cascades Inventory and Monitoring Network (NCCN) vegetation maps of Mount Rainier (MORA), Olympic (OLYM), and North Cascades (NOCA) National Parks. Synthesis and analysis of these 6000+ plots by Washington Natural Heritage Program (WNHP) and Institute for Natural Resources (INR) staff built on the foundation provided by the earlier classification work of Crawford et al. (2009). These analyses provided support for most of the provisional plant associations in Crawford et al. (2009), while also revealing previously undescribed vegetation types that were not represented in the United States National Vegetation Classification (USNVC). Both provisional and undescribed types have since been submitted to the USNVC by WNHP staff through a peer-reviewed process. NCCN plots were combined with statewide forest and wetland plot data from the US Forest Service (USFS) and other sources to create a comprehensive data set for Washington. Analyses incorporated Cluster Analysis, Nonmetric Multidimensional Scaling (NMS), Multi-Response Permutation Procedure (MRPP), and Indicator Species Analysis (ISA) to identify, vet, and describe USNVC group, alliance, and association distinctions. The resulting revised classification contains 321 plant associations in 99 alliances. A total of 54 upland associations were moved through the peer review process and are now part of the USNVC. Of those, 45 were provisional or preliminary types from Crawford et al. (2009), with 9 additional new associations that were originally identified by INR. WNHP also revised the concepts of 34 associations, wrote descriptions for 2 existing associations, eliminated/archived 2 associations, and created 4 new upland alliances. Finally, WNHP created 27 new wetland alliances and revised or clarified an additional 21 as part of this project (not all of those occur in the parks). This report and accompanying vegetation descriptions, keys and synoptic and environmental tables (all products available from the NPS Data Store project reference: https://irma.nps.gov/DataStore/Reference/Profile/2279907) present the fruit of these combined efforts: a comprehensive, up-to-date vegetation classification for the three major national parks of Washington State.
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Kerber, Steve, et Derek Alkonis. Lahaina Fire Comprehensive Timeline Report. UL Research Institutes, avril 2024. http://dx.doi.org/10.54206/102376/vqkq5427.

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On August 8-9, 2023, the town of Lahaina, Hawaiʻi (on the island of Maui), endured a devastating fire fueled by environmental conditions, leading to 101 fatalities, widespread destruction, and devastating community impacts. The Fire Safety Research Institute (FSRI) conducted an extensive data collection effort to establish a comprehensive timeline and fact base around the Lahaina fires. This Lahaina Fire Comprehensive Timeline Report (Phase 1) report focuses on the events that occurred prior to, during, and immediately following the Lahaina fire, such as preparedness efforts, weather and its impact to infrastructure, and other fires occurring on Maui for the time period beginning at 14:55 (2:55 p.m. HST) on August 8, 2023, and concluding at 08:30 (8:30 a.m.) on August 9, 2023. Data from the three (3) other Maui fires is also included in specific sections to give context to the situation in Lahaina.
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Gonzalez, Rodrigo Barbone, José Renato Haas Ornelas et Thiago Christiano Silva. The Value of Clean Water : Evidence from an Environmental Disaster. Inter-American Development Bank, décembre 2023. http://dx.doi.org/10.18235/0005312.

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Clean water has a largely unknown economic value, particularly to small communities whose agricultural activities take place on river shores. In November 2015, the rupture of a mining tailings dam in the municipality of Mariana led to a record disposal of toxic residuals in southeast Brazil. A mud avalanche ran out for 600 km (373 miles) until it reached the Atlantic Ocean, leaving behind extreme ecological and economic damage in the Doce River basin. This is the largest environmental disaster in Brazil to date. We quantify the negative externalities using rich, identified, and comprehensive data from firm-to-firm electronic payments and individual-level consumer credit usage. We find that agricultural producers in affected municipalities received cumulatively 41% to 60% fewer inflows (income) from customer firms outside the affected zone three years after the disaster. Effects are driven by municipalities where the river shore is larger relative to the farming area. In these municipalities, individuals also faced an 8% fall in their credit card and consumer finance expenditures. This result is stronger for non-formal and high-risk workers. Thus, water contamination led to (first) production and (later) consumption decline with real effects on municipality-level agriculture and services output, causing a 7% decline in local GDP.
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Panek, Jeffrey, James McCarthy, Alan Krol et Adrian Huth. PR-312-15201-Z01 Balko OK Compressor Station 102 Data Summary and Initial AERMOD Performance Assessment. Chantilly, Virginia : Pipeline Research Council International, Inc. (PRCI), novembre 2017. http://dx.doi.org/10.55274/r0011444.

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In 2010, the U.S. Environmental Protection Agency (EPA) adopted a 1-hour nitrogen dioxide (NO2) National Ambient Air Quality Standard (NAAQS) of 100 parts per billion (ppb) or approximately 188 micrograms per cubic meter (�g/m3) that is considerably more stringent than the longstanding annual standard of 53 ppb (100 �g/m3). New or modified compressor units may be encumbered by federal or state regulatory requirements to demonstrate compliance with the NO2 NAAQS using AERMOD, EPA's dispersion model, because the new NAAQS greatly reduces the compliance margin. AERMOD was developed and validated with a primary focus on larger sources with taller stacks, such as electric utility boilers, which results in model conservatism for sources such as compressor stations with shorter stacks that result in near-field modeled impacts. However, a comprehensive dataset was not available to understand AERMOD conservatism. This project developed a comprehensive dataset based on 13 months of monitoring at a compressor station in Oklahoma, including ambient monitoring of ozone and oxides of nitrogen (NOx), meteorological data, and reciprocating engine emissions. This final report summarizes planning and execution of the data collection effort, reviews the resulting dataset, and provides an initial assessment of AERMOD performance based on this dataset. In addition to this report, the dataset will be released to EPA and the public so that it is accessible to the modeling community for other projects that are investigating specific aspects of AERMOD performance. This includes both the report and the associated data in Excel format.
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Banerjee, Onil, Martin Cicowiez, Renato Vargas et Mark Horridge. The Integrated Economic-Environmental Modelling Framework : An Illustration with Guatemala's Forest and Fuelwood Sectors. Inter-American Development Bank, novembre 2016. http://dx.doi.org/10.18235/0011777.

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This paper develops and operationalizes the Integrated Economic-Environmental Modelling (IEEM) platform which integrates environmental data organized under the first international standard for environmental-economic accounting with a powerful economy-wide modelling approach. IEEM enables the ex-ante economic analysis of public policies and investment on the economy and the environment in a quantitative, comprehensive and consistent framework. IEEM elucidates the two-way interrelationships between the economy and environment, considering how economic activities depend on the environment as a source of inputs and as a sink for its outputs. In addition to standard economic impact indicators such as gross domestic product, income and employment, IEEM generates indicators that describe policy impacts on the use of environmental resources, wealth and environmental quality which together determine prospects for future economic growth and well-being. To illustrate the analytical capacity of IEEM, the model is calibrated with Guatemala's environmental-economic accounts and applied to analysis of its forest and fuelwood sector where negative health and environmental impacts arise from inefficient household fuelwood use.
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Kaiser, Noah, Huw Pohlner, Cassandra Stevenson-Charles, Luke Dowdeswell-Downey et Basundhara Bhattarai. Elevating river basin governance and cooperation in the HKH region : Summary report II, Ganges River Basin. International Centre for Integrated Mountain Development (ICIMOD), décembre 2023. http://dx.doi.org/10.53055/icimod.1035.

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The report "Elevating River Basin Governance and Cooperation in the HKH Region: Summary Report II on the Ganges Basin " provides a comprehensive overview of the Ganges River Basin, emphasizing its significance as a crucial water source for over 600 million people. The report highlights the challenges posed by climate change, the state of basin governance, and the need for a multilateral or regional framework for enhanced basin-scale management. It offers high-level recommendations for promoting multilateral cooperation, improving data collection and sharing, and catalysing cooperation through common goals. The report also addresses the environmental characteristics, climate change impacts, and the state of basin governance, including relevant treaties, policies, and agreements. Key aspects of the report include: A detailed analysis of the Ganges River Basin, its socio-economic trends, environmental characteristics, and climate change impacts. An examination of the state of basin governance, including relevant treaties, policies, and agreements. The report also focuses on gender and social inclusion (GESI) and engagement with all relevant stakeholders, including people with disabilities, indigenous people, and other marginalized populations in knowledge generation, dialogues, planning, and cooperation at the local and basin scales. It is part of a series of three reports on Elevating River Basin Governance and Cooperation in the HKH Region, which also include reports on the Indus and Brahmaputra river basins.
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Mazari, Mehran, Siavash F. Aval, Siddharth M. Satani, David Corona et Joshua Garrido. Developing Guidelines for Assessing the Effectiveness of Intelligent Compaction Technology. Mineta Transportation Institute, janvier 2021. http://dx.doi.org/10.31979/mti.2021.1923.

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Many factors affect pavement compaction quality, which can vary. Such variability may result in an additional number of passes required, extended working hours, higher energy consumption, and negative environmental impacts. The use of Intelligent Compaction (IC) technology during construction can improve the quality and longevity of pavement structures while reducing risk for contractors and project owners alike. This study develops guidelines for the implementation of IC in the compaction of pavement layers as well as performing a preliminary life-cycle cost analysis (LCCA) of IC technology compared to the conventional compaction approach. The environmental impacts of the improved construction process were quantified based on limited data available from the case studies. The LCCA performed in this study consisted of different scenarios in which the number of operating hours was evaluated to estimate the cost efficiency of the intelligent compaction technique during construction. The analyses showed a reduction in energy consumption and the production of greenhouse gas (GHG) emissions with the use of intelligent compaction. The LCCA showed that the use of IC technology may reduce the construction and maintenance costs in addition to enhancing the quality control and quality assurance (QC/QA) process. However, a more comprehensive analysis is required to fully quantify the benefits and establish more accurate performance indicators. A draft version of the preliminary guidelines for implementation of IC technology and long-term monitoring of the performance of pavement layers compacted thereby is also included in this report.
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Luo, Hao, Ricardo Chahine, Arianna Rambaram, Elizabeth Theresa Rosenzweig, Konstantina Gkritza et Hua Cai. Assessing the Travel Demand and Mobility Impacts of Transformative Transportation Technologies in Indiana. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317374.

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The rapid development of transformative transportation technologies, such as bike-sharing, shared e-scooters, and ride-hailing systems, is reshaping the transportation landscape. These transformative transportation technologies have the potential to significantly change travel behavior and travel demand and affect transportation agencies’ planning, operations, and decision-making. The objective of this project is to develop a framework and models to quantify the potential travel demand and mobility impacts of transformative transportation technologies in Indiana cities. This project analyzed historical system usage data and conducted survey studies to evaluate the availability and use of transformative transportation technologies in select Indiana cities. The project also proposed a data-driven model to study the relationship between shared micro-mobility and the existing transit system and developed a simulation model to analyze the potential mode choice change under different future development scenarios. Additionally, based on a comprehensive literature review, a list of operations; environmental, health and safety; and accessibility and equity metrics were identified as the Key Performance Indicators to evaluate transformative transportation technologies. Furthermore, as this study was conducted in the midst of the COVID-19 pandemic, the impacts of the pandemic on both traditional and transformative transportation systems were also examined as documented in the literature and stated in our survey.
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