GIS Based Chemical Fate Modeling

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 assessment, GIS Based Chemical Fate Modeling explores both GIS and chemical fate and transport modeling fundamentals, creating an interface between the two domains. It then explains how GIS analytical functions enable scientists to develop simple, yet comprehensive spatially explicit chemical fate and transport models that support real-world applications. In addition, the book features: Practical examples of GIS based model calculations that serve as templates for the development of new applications Exercises enabling readers to create their own GIS based models Accompanying website featuring downloadable datasets used in the book's examples and exercises References to the literature, websites, data repositories, and online reports to facilitate further research Coverage of important topics such as spatial decision support systems and multi-criteria analysis as well as ecological and human health risk assessment in a spatial context GIS Based Chemical Fate Modeling makes a unique contribution to the environmental sciences by explaining how GIS analytical functions enhance the development and interpretation of chemical fate and transport models. Environmental scientists should turn to this book to gain a deeper understanding of the role of GIS in describing what happens to chemicals when they are released into the environment.

Explains how GIS enhances the development of chemical fateand transport modelsOver the past decade, researchers have discovered thatgeographic information systems (GIS) are not only excellent toolsfor managing and displaying maps, but also useful in the analysisof chemical fate and transport in the environment. Among its manybenefits, GIS facilitates the identification of critical factorsthat drive chemical fate and transport. Moreover, GIS makes iteasier to communicate and explain key model assumptions.Based on the author's firsthand experience in environmentalassessment, GIS Based Chemical Fate Modeling explores bothGIS and chemical fate and transport modeling fundamentals, creatingan interface between the two domains. It then explains how GISanalytical functions enable scientists to develop simple, yetcomprehensive spatially explicit chemical fate and transport modelsthat support real-world applications. In addition, the bookfeatures:* Practical examples of GIS based model calculations that serveas templates for the development of new applications* Exercises enabling readers to create their own GIS basedmodels* Accompanying website featuring downloadable datasets used inthe book's examples and exercises* References to the literature, websites, data repositories, andonline reports to facilitate further research* Coverage of important topics such as spatial decision supportsystems and multi-criteria analysis as well as ecological and humanhealth risk assessment in a spatial contextGIS Based Chemical Fate Modeling makes a uniquecontribution to the environmental sciences by explaining how GISanalytical functions enhance the development and interpretation ofchemical fate and transport models. Environmental scientists shouldturn to this book to gain a deeper understanding of the role of GISin describing what happens to chemicals when they are released intothe environment.

ForewordChapter 1. Chemicals, models and GIS: a sort of introductionChapter 2. Basics of chemical compartment models and their implementation with GIS functionsChapter 3. Basics of GIS operationsChapter 4. Map algebraChapter 5. Distance calculations (with contributions by P. Mazzoli)Chapter 6. Spatial statistics and neighbourhood modeling in GISChapter 7. Digital elevation models, topographic controls and hydrologic modeling in GISChapter 8. Elements of dynamic modeling in GISChapter 9. Metamodeling and source-receptor relationship modeling in GISChapter 10. Spatial data management in GIS and the coupling of GIS and environmental models (by Ezio Crestaz)Chapter 11. Soft computing methods for the overlaying of chemical data with other spatially varying parameters (by Alberto Pistocchi, Davide Geneletti; with contributions by Paolo Mazzoli and Ezio Crestaz)Chapter 12. Types of data required for chemical fate modeling (by Alberto Pistocchi, Pilar Vizcaino, Christof J. Weissteiner)Chapter 13. Retrieval and analysis of emission dataChapter 14. Characterization of environmental properties and processes (by Alberto Pistocchi, Dimitar T. Marinov)Chapter 15. Complex models, GIS and data assimilationChapter 16. The issue of monitoring data and the evaluation of spatial models of chemical fateChapter 17. From Fate to exposure and risk modeling with GIS (by Stefano Bagli, Alberto Pistocchi)Chapter 18. GIS based models in practice: the Multimedia Assessment of Pollutant Pathways in the Environment (MAPPE) model (by Alberto Pistocchi, Dimitar T. Marinov)Chapter 19. Inverse modeling and its application to water contaminants (by Alberto Pistocchi, Dimitar T. Marinov)Chapter 20. Chemical fate and transport indicators and the modeling of contamination patternsConclusions