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Author Pistocchi, Alberto
Title GIS based chemical fate modeling [electronic resource] : principles and applications / Alberto Pistocchi
Imprint Hoboken : Wiley, c2014
book jacket
Descript 1 online resource (xvii, 486 p.) : col. ill., col. maps
Note Includes bibliographical references and index
Cover; 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)
2.7 Analytical Solutions2.8 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
4.3 Using MAP Algebra to Implement Isolated box ModelsReferences; 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
7.1 Basic Surface Analysis7.2 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
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
Explains 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
Description based on online resource; title from PDF title page (Wiley, viewed on April 24, 2014)
Subject Environmental chemistry -- Geographic information systems
Transport theory -- Mathematical models
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