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Nonpoint Source Pollution Modeling (with GIS)

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Geographical Information Systems in Hydrology

Part of the book series: Water Science and Technology Library ((WSTL,volume 26))

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Abstract

Pollution modeling in this chapter refers primarily to the modeling of nonpoint pollution in surface runoff. This type of modeling is commonly denoted as hydrologic and water quality (HWQ) modeling. A good HWQ model must have a good hydrologic model as its foundation. HWQ models incorporate hydrology and water quality parameters. They are used to describe the occurrence and movement of water, nutrients, pesticides and other materials through a hydrologic system. Most HWQ models require large amounts of spatially referenced input data. A geographic information system (GIS) is an excellent way of managing these data. Further a GIS can be used to display modeling results in a manner that is understandable by the lay person. Results can be prepared in a wide array of graphical formats enabling one to better visualize model predictions. This chapter details efforts with nonpoint source pollution modeling and GIS in the United States. There are, however, significant advances being made outside the U.S.

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Authors
  1. C. T. Haan
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  2. D. E. Storm
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Editor information

Editors and Affiliations

  1. Department of Civil & Environmental Engineering, Louisiana State University, 70803-6105, Baton Rouge, Louisiana, USA

    Vijay P. Singh

  2. Department of Environmental Engineering and Physics, University of Basilicata, Via della Tecnica 3, 85100, Potenza, Italy

    M. Fiorentino

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© 1996 Springer Science+Business Media Dordrecht

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Haan, C.T., Storm, D.E. (1996). Nonpoint Source Pollution Modeling (with GIS). In: Singh, V.P., Fiorentino, M. (eds) Geographical Information Systems in Hydrology. Water Science and Technology Library, vol 26. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8745-7_12

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  • DOI: https://doi.org/10.1007/978-94-015-8745-7_12

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4751-9

  • Online ISBN: 978-94-015-8745-7

  • eBook Packages: Springer Book Archive

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