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019 _a870244571
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020 _a9781118523650
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020 _a1118523652
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020 _a1118059972
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020 _a9781118523667
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035 _a(OCoLC)878138767
_z(OCoLC)870244571
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082 0 4 _a577/.140285
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084 _aSCI013040
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049 _aMAIN
100 1 _aPistocchi, Alberto,
_d1972-
_eauthor.
245 1 0 _aGIS based chemical fate modeling :
_bprinciples and applications /
_cAlberto Pistocchi.
264 1 _aHoboken, New Jersey :
_bWiley,
_c2014.
264 4 _c©2014
300 _a1 online resource (506 pages) :
_bcolor illustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references at the end of each chapters and index.
588 0 _aPrint version record.
505 0 _aCover; Title Page; Copyright; Preface; Contributors; Chapter 1: Chemicals, Models, and GIS: Introduction; 1.1 Chemistry, Modeling, and Geography; 1.2 Mr. Palomar and Models; 1.3 What Makes a Model Different?; 1.4 Simple, Complex, or Tiered?; 1.5 For Whom is this Book Written?; References; Chapter 2: Basics of Chemical Compartment Models and Their Implementation with GIS Functions; 2.1 Introduction; 2.2 Phase Partitioning; 2.3 Diffusion, Dispersion, and Advection; 2.4 Fluxes at the Interfaces; 2.5 Reactions; 2.6 Transport within An Environmental Medium: The Advection-Diffusion Equation (ADE).
505 8 _a2.7 Analytical Solutions; 2.8 Box Models, Multimedia and Multispecies Fate and Transport; 2.9 Spatial Models: Implicit, Explicit, Detailed Explicit, and GIS-Based Schemes; References; Chapter 3: Basics of GIS Operations; 3.1 What is GIS?; 3.2 GIS Data; 3.3 GIS Software; 3.4 GIS Standards; 3.5 A Classification of GIS Operations for Chemical Fate Modeling; 3.6 Spatial Thinking; 3.7 Beyond GIS; 3.8 Further Progress on GIS; References; Chapter 4: Map Algebra; 4.1 MAP Algebra Operators and Syntaxes; 4.2 Using MAP Algebra to Compute a Gaussian Plume.
505 8 _a4.3 Using MAP Algebra to Implement Isolated box Models; References; Chapter 5: Distance Calculations; 5.1 Concepts of Distance Calculations; 5.2 Distance Along a Surface and Vertical Distance; 5.3 Applications of Euclidean Distance in Pollution Problems; 5.4 Cost Distance; References; Chapter 6: Spatial Statistics and Neighborhood Modeling in GIS; 6.1 Variograms: Analyzing Spatial Patterns; 6.2 Interpolation; 6.3 Zonal Statistics; 6.4 Neighborhood Statistics and Filters; References; Chapter 7: Digital Elevation Models, Topographic Controls, and Hydrologic Modeling in GIS.
505 8 _a7.1 Basic Surface Analysis; 7.2 Drainage; 7.3 Using GIS Hydrological Functions in Chemical Fate and Transport Modeling; 7.4 Non-D8 Methods and the TauDEM Algorithms; 7.5 ESRI's "Darcy Flow" and "Porous Puff" Functions; References; Chapter 8: Elements of Dynamic Modeling in GIS; 8.1 Dynamic GIS Models; 8.2 Studying Time-Dependent Effects with Simple Map Algebra; 8.3 Decoupling Spatial and Temporal Aspects of Models: The Mappe Global Approach; References; Chapter 9: Metamodeling and Source-Receptor Relationship Modeling in GIS; 9.1 Introduction; 9.2 Metamodeling; 9.3 Source-Receptor Relationships.
505 8 _aReferences; Chapter 10: Spatial Data Management in GIS and the Coupling of GIS and Environmental Models; 10.1 Introduction; 10.2 Historical Perspective of Emergence of Spatial Databases in Environmental Domain; 10.3 Spatial Data Management in GIS: Theory and History; 10.4 Spatial Database Solutions; 10.5 Simple environmental spatiotemporal database skeleton and GIS: hands-on examples; 10.6 Generalized Environmental Spatiotemporal Database Skeleton and Geographic Mashups; References; Chapter 11: Soft Computing Methods for the Overlaying of Chemical Data with Other Spatially Varying Parameters.
505 8 _a11.1 Introduction.
520 _aExplains how GIS enhances the development of chemical fate and transport models Over the past decade, researchers have discovered that geographic information systems (GIS) are not only excellent tools for managing and displaying maps, but also useful in the analysis of chemical fate and transport in the environment. Among its many benefits, GIS facilitates the identification of critical factors that drive chemical fate and transport. Moreover, GIS makes it easier to communicate and explain key model assumptions. Based on the author's firsthand experience in environmental asse.
650 0 _aEnvironmental chemistry
_xGeographic information systems.
650 0 _aTransport theory
_xMathematical models.
650 4 _aEnvironmental chemistry
_xGeographic information systems.
650 4 _aEnvironmental chemistry.
650 4 _aSCIENCE
_xChemistry
_xOrganic.
650 4 _aTransport theory
_xMathematical models.
650 7 _aEnvironmental chemistry.
_2fast
_0(OCoLC)fst00912860
650 7 _aTransport theory
_xMathematical models.
_2fast
_0(OCoLC)fst01154992
650 7 _aSCIENCE
_xChemistry
_xOrganic.
_2bisacsh
650 7 _aNATURE
_xEcology.
_2bisacsh
650 7 _aNATURE
_xEcosystems & Habitats
_xWilderness.
_2bisacsh
650 7 _aSCIENCE
_xEnvironmental Science.
_2bisacsh
650 7 _aSCIENCE
_xLife Sciences
_xEcology.
_2bisacsh
655 4 _aElectronic books.
655 7 _aGeographic information systems.
_2fast
_0(OCoLC)fst01752691
776 0 8 _iPrint version:
_aPistocchi, Alberto, 1972-
_tGIS based chemical fate modeling : principles and applications.
_dHoboken, New Jersey : Wiley, ©2014
_hxvii, 486 pages
_z9781118059975
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118523667
_zWiley Online Library
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