Integrated Use of a Continuous Simulation Model and Multi-Attribute Decision-Making for Ranking Urban Watershed Management Alternatives |
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Authors: | Eun-Sung Chung Won-Pyo Hong Kil Seong Lee Steven J Burian |
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Institution: | (1) Department of Geography, University of Cincinnati, Cincinnati, Ohio 45221-0131, USA |
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Abstract: | The objective of this paper is to introduce a continuous simulation-based screening procedure for ranking urban watershed
management alternatives using multi-attribute decision making (MADM). The procedure integrates continuous urban runoff simulation
results from the United States Environmental Protection Agency’s Storm Water Management Model (SWMM) with the use of an alternative
evaluation index (AEI) and MADM techniques, following the driver-pressure-state-impact-response (DPSIR) approach. The analytic
hierarchy process estimates the weights of the criteria, and SWMM results are used to quantify the effects of the management
alternatives on water quantity and quality metrics. In addition, the tendency of AEI to reflect resident preferences toward
management objectives is incorporated to include stakeholder participation in the decision-making process. This systematic
decision support process is demonstrated for a Korean urban watershed. According to the AEI, seven alternatives were divided
into three groups: poor (0∼0.3), acceptable (0.3∼0.6), and good (0.6∼1). The use of multiple MADM techniques provided a consistency
check. The demonstration illustrates the ability of the continuous simulation-based MADM approach to provide decision makers
with a ranking of suitable urban watershed management alternatives which incorporate stakeholder feedback. |
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Keywords: | |
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