06726cam a2200853Mi 4500 ocn878138767 OCoLC 20171030134641.0 m o d cr cn||||||||| 140324t20142014njua ob 001 0 eng d 9781118523650 (e-book) 1118523652 (e-book) 1118059972 9781118059975 9781118523667 1118523660 9781118059975 9781118523704 1118523709 CHBIS 010441955 CHNEW 000709930 CHVBK 334092663 DEBSZ 431616418 NZ1 15497382 GBVCP 863146694 DEBBG BV041877764 AU@ 000052839748 (OCoLC)878138767 (OCoLC)870244571 (OCoLC)871257599 (OCoLC)961625759 (OCoLC)962639762 E7B eng rda pn E7B OCLCQ OCLCO COO OCLCF YDXCP EBLCP IDEBK RECBK DG1 CUS CDX OHI OCLCO DEBSZ OCLCQ OCLCO N$T OCLCO DG1 MAIN TD193 .P57 2014eb NAT 010000 bisacsh NAT 045040 bisacsh SCI 026000 bisacsh SCI 020000 bisacsh 577/.140285 23 SCI013040 bisacsh Pistocchi, Alberto, 1972- author. GIS based chemical fate modeling : principles and applications / Alberto Pistocchi. [electronic resource] Hoboken, New Jersey : Wiley, 2014. ©2014 1 online resource (506 pages) : color illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references at the end of each chapters 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 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. 4.3 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. 7.1 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. References; 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. 11.1 Introduction. 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. Print version record. Environmental chemistry Geographic information systems. Transport theory Mathematical models. Environmental chemistry Geographic information systems. Environmental chemistry. SCIENCE Chemistry Organic. Transport theory Mathematical models. Environmental chemistry. fast (OCoLC)fst00912860 Transport theory Mathematical models. fast (OCoLC)fst01154992 SCIENCE Chemistry Organic. bisacsh NATURE Ecology. bisacsh NATURE Ecosystems & Habitats Wilderness. bisacsh SCIENCE Environmental Science. bisacsh SCIENCE Life Sciences Ecology. bisacsh Electronic books. Geographic information systems. fast (OCoLC)fst01752691 Print version: Pistocchi, Alberto, 1972- GIS based chemical fate modeling : principles and applications. Hoboken, New Jersey : Wiley, ©2014 xvii, 486 pages 9781118059975 http://onlinelibrary.wiley.com/book/10.1002/9781118523667 Wiley Online Library ddc BK 207389 207389