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GIS and Geocomputation for Water Resource Science and Engineering

E-BookEPUB2 - DRM Adobe / EPUBE-Book
568 Seiten
Englisch
John Wiley & Sonserschienen am30.11.20151. Auflage
GIS and Geocomputation for Water Resource Science and Engineering not only provides a comprehensive introduction to the fundamentals of geographic information systems but also demonstrates how GIS and mathematical models can be integrated to develop spatial decision support systems to support water resources planning, management and engineering, The book uses a hands-on active learning approach to introduce fundamental concepts and numerous case-studies are provided to reinforce learning and demonstrate practical aspects, The benefits and challenges of using GIS in environmental and water resources fields are clearly tackled in this book, demonstrating how these technologies can be used to harness increasingly available digital data to develop spatially-oriented sustainable solutions, In addition to providing a strong grounding on fundamentals, the book also demonstrates how GIS can be combined with traditional physics-based and statistical models as well as information-theoretic tools like neural networks and fuzzy set theory,



BARNALI DIXON is a Professor in the Department of Environmental Science, Policy and Geography, University of South Florida St, Petersburg (USFSP) and the Director of the Geospatial Analytics Lab of USFSP,
VENKATESH UDDAMERI is a Professor in the Department of Civil, Environmental and Construction Engineering at Texas Tech University and the Director of the TTU Water Resources Center,mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR79,00
BuchGebunden
EUR174,50
E-BookEPUB2 - DRM Adobe / EPUBE-Book
EUR63,99
E-BookPDF2 - DRM Adobe / Adobe Ebook ReaderE-Book
EUR63,99

Produkt

KlappentextGIS and Geocomputation for Water Resource Science and Engineering not only provides a comprehensive introduction to the fundamentals of geographic information systems but also demonstrates how GIS and mathematical models can be integrated to develop spatial decision support systems to support water resources planning, management and engineering, The book uses a hands-on active learning approach to introduce fundamental concepts and numerous case-studies are provided to reinforce learning and demonstrate practical aspects, The benefits and challenges of using GIS in environmental and water resources fields are clearly tackled in this book, demonstrating how these technologies can be used to harness increasingly available digital data to develop spatially-oriented sustainable solutions, In addition to providing a strong grounding on fundamentals, the book also demonstrates how GIS can be combined with traditional physics-based and statistical models as well as information-theoretic tools like neural networks and fuzzy set theory,



BARNALI DIXON is a Professor in the Department of Environmental Science, Policy and Geography, University of South Florida St, Petersburg (USFSP) and the Director of the Geospatial Analytics Lab of USFSP,
VENKATESH UDDAMERI is a Professor in the Department of Civil, Environmental and Construction Engineering at Texas Tech University and the Director of the TTU Water Resources Center,
Details
Weitere ISBN/GTIN9781118826188
ProduktartE-Book
EinbandartE-Book
FormatEPUB
Format Hinweis2 - DRM Adobe / EPUB
FormatFormat mit automatischem Seitenumbruch (reflowable)
Erscheinungsjahr2015
Erscheinungsdatum30.11.2015
Auflage1. Auflage
ReiheWiley Works
Seiten568 Seiten
SpracheEnglisch
Dateigrösse91787 Kbytes
Artikel-Nr.3232183
Rubriken
Genre9201

Inhalt/Kritik

Leseprobe
List of Acronyms
Abbreviation Details AAE Average absolute error ACRIMSAT Active Cavity Radiometer Irradiance Monitor Satellite ACWPP Arroyo Colorado Watershed Protection Program ADEQ Arkansas Department of Environmental Quality AF Attenuation factor AFC Attenuation factor calculator AFY Acre-feet per year AHP Analytical Hierarchy Process AI Artificial intelligence AIC Akaike's information criterion ANFIS Artificial Neuro-Fuzzy Information Systems ANN Artificial Neural Networks AOI Area of interest AP Apparent color ASCII American Standard Code for Information Interchange ASMC Antecedent soil moisture conditions ASR Aquifer storage and recovery ASTER Advanced Spaceborne Thermal Emission and Reflection Radiometer ASV Autonomous surface vehicles AVHRR Advanced Very High Resolution Radiometer AVIRIS Airborne Visible InfraRed Imaging Spectrometer AWRC Arkansas Water Resources Center BASINS Better Assessment Science Integrating Point and Nonpoint Sources BCF Billions of cubic feet BD Bulk density BGIS Basin Geomorphic Information System BIL Band interleaved by line BMPs Best Management Practices BOD Biochemical oxygen demand CAD Computer Aided Design CART Classification and regression trees CC Correlation coefficient CCN Certificate of convenience and necessity CEC Cation exchange capacity CERL Construction Engineering Research Laboratory CERP Comprehensive Everglades Restoration Plan CHIPS Colonia Health, Infrastructure, and Planning Status CI Convexity index CN Curve number COAV Class-object-attribute-value CSA Clay settling area CWA Clean Water Act DBMS Database management system DCIA Directly connected impervious area DEDNM Digital Elevation Drainage Network Model DEM Digital elevation model DFA Discriminant function analysis DGN Design file DGPS Differential GPS DLG Digital line graphs DO Dissolved oxygen DOM Dissolved organic matter DOQQs Digital Orthophoto Quarter Quads DOQs Digital Orthophoto Quadrangles DRASTIC Aquifer vulnerability index: Depth to water table, Recharge, Aquifer media, Soil type, Topography, Impact of vadose zone, Conductivity DSM Digital surface model DSS Decision support systems DTM Digital terrain model E/ET or ET/EV Evaporation/evapotranspiration EDAP Economically distressed area program EF Ecological Fallacy ELM Everglade Landscape Model EMC Event mean concentration EMR Electromagnetic radiation ENVI Environment for Visualizing Images EPA Environmental Protection Agency EROS Earth Resources Observation and Science ESA European Space Agency ESRI Environmental Systems Research Institute ESSP Earth System Science Pathfinder Program ESTDM Event-based spatiotemporal data model ET Evapotranspiration ETJ Extraterritorial jurisdiction ETM Enhanced Thematic Mapper (Landsat) ETM+ Enhanced Thematic Mapper Plus FAC2 Fraction of predictions within a factor of two of observations FAVA Florida Aquifer Vulnerability Assessment FAWN Florida Automated Weather Network FB Fractional bias FD Fractal dimension FDEP Florida Department of Environmental Protection FDOH Florida Department of Health FEMA Federal Emergency Management Agency FFNN Feedforward neural network FGDC Federal Geographic Data Commission FLUCCS Florida land use and cover classification system FMG Info Atlas Info Atlas for Bay of Fundy, Gulf of Maine FORTRAN Formula Translation FWRI Fish and Wildlife Research Institute (Florida) GAM Groundwater availability modeling GCDs Groundwater Conservation Districts GCM Global climate model GCPs Ground control points GeoTIFF Georeferenced Tagged Image File Format GIRAS Geographic Information Retrieval and Analysis System GIS Geographic Information Systems GOCE Gravity field and steady-state Ocean Circulation Explorer GOES Geostationary Operational Environmental Satellite GPS Global Positioning system GRACE Gravity Recovery and Climate Experiment GRASS Geographic Resources Analysis Support System GRDC Global Runoff Data Center GRS Geodetic Reference System GUI Graphical User Interface GUS Groundwater ubiquity score GWVIP Groundwater Vulnerability Index for Pesticides HABs Harmful Algal Blooms HAL Health advisory level HEC Hydrologic Engineering Center HEC-RAS Hydrologic Engineering Center River Analysis System HMS Hydrologic Modeling Systems HRUs Hydrologic Response Units HSG Hydrologic soil group HUC Hydrologic unit code HUC# Hydrologic Unit Catalog number I&O Index and overlay ICA International Cartographic Association IDL Interactive Data Language IDW Inverse distance weighted IFOV Instantaneous field of...mehr