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A Web-based environmental decision support system (WEDSS) for environmental planning and watershed management

Author

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  • Ramanathan Sugumaran
  • James C. Meyer
  • Jim Davis

Abstract

Local governments often struggle to balance competing demands for residential, commercial and industrial development with imperatives to minimize environmental degradation. In order to effectively manage this development process on a sustainable basis, local planners and government agencies are increasingly seeking better tools and techniques. In this paper, we describe the development of a Web-Based Environmental Decision Support System (WEDSS), which helps to prioritize local watersheds in terms of environmental sensitivity using multiple criteria identified by planners and local government staff in the city of Columbia, and Boone County, Missouri. The development of the system involved three steps, the first was to establish the relevant environmental criteria and develop data layers for each criterion, then a spatial model was developed for analysis, and lastly a Web-based interface with analysis tools was developed using client-server technology. The WEDSS is an example of a way to run spatial models over the Web and represents a significant increase in capability over other WWW-based GIS applications that focus on database querying and map display. The WEDSS seeks to aid in the development of agreement regarding specific local areas deserving increased protection and the public policies to be pursued in minimizing the environmental impact of future development. The tool is also intended to assist ongoing public information and education efforts concerning watershed management and water quality issues for the City of Columbia, Missouri and adjacent developing areas within Boone County, Missouri. Copyright Springer-Verlag Berlin Heidelberg 2004

Suggested Citation

  • Ramanathan Sugumaran & James C. Meyer & Jim Davis, 2004. "A Web-based environmental decision support system (WEDSS) for environmental planning and watershed management," Journal of Geographical Systems, Springer, vol. 6(3), pages 307-322, October.
  • Handle: RePEc:kap:jgeosy:v:6:y:2004:i:3:p:307-322
    DOI: 10.1007/s10109-004-0137-0
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    Citations

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    Cited by:

    1. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
    2. Prato, Tony, 2008. "Stochastic multiple attribute evaluation of land use policies," Ecological Modelling, Elsevier, vol. 219(1), pages 115-124.

    More about this item

    Keywords

    Web-based Spatial Decision Support Systems; watershed management; multi-criteria evaluation; C61; D89; R52;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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