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GIS Based Chemical Fate Modeling. Principles and Applications - Product Image

GIS Based Chemical Fate Modeling. Principles and Applications

  • ID: 2330243
  • April 2014
  • 504 Pages
  • John Wiley and Sons Ltd

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 READ MORE >


Chapter 1. Chemicals, models and GIS: a sort of introduction

Chapter 2. Basics of chemical compartment models and their implementation with GIS functions

Chapter 3. Basics of GIS operations

Chapter 4. Map algebra

Chapter 5. Distance calculations (with contributions by P. Mazzoli)

Chapter 6. Spatial statistics and neighbourhood modeling in GIS

Chapter 7. Digital elevation models, topographic controls and hydrologic modeling in GIS

Chapter 8. Elements of dynamic modeling in GIS

Chapter 9. Metamodeling and source-receptor relationship modeling in GIS

Chapter 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 data

Chapter 14. Characterization of environmental properties and processes (by Alberto Pistocchi, Dimitar T. Marinov)

Chapter 15. Complex models, GIS and data assimilation

Chapter 16. The issue of monitoring data and the evaluation of spatial models of chemical fate

Chapter 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 patterns


ALBERTO PISTOCCHI, MSc Eng, MSc Phil, PhD, is Adjunct Professor of Spatial Decision Support Systems at the University of Trento, Italy, and the author of several scientific contributions to the fields of hydrology, environmental assessment, chemical fate and transport modeling, and spatial decision support systems. As a researcher, environmental analyst, and project manager, he has been working for the European Commission's Joint Research Centre, the Emilia Romagna regional government, and other private and public organizations. He is a founding partner (2001) and the scientific director of GECOsistema, a research spin-off from the University of Bologna, Italy.

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