Abstract

This study developed a multi-criteria decision analysis (MCDA) framework to prioritize sites and types of low impact development (LID) practices. This framework was systemized as a web-based system coupled with the Storm Water Management Model (SWMM). Using TOPSIS method, which is a type of MCDA method, multiple types and sites of designated LID practices are prioritized. This system is named the Water Management Prioritization Module (WMPM). WMPM can simultaneously determine the priority of multiple LID types and sites. In this study, an infiltration trench and permeable pavement were considered for multiple sub-catchments in South Korea to demonstrate the WMPM procedures. The TOPSIS method was manually incorporated to select the vulnerable target sub-catchments and to prioritize the LID planning scenarios for multiple types and sites considering social, hydrologic and physical-geometric factors. In this application, the Delphi method and entropy theory were used to determine the subjective and objective weights, respectively.

Highlights

  • Urbanization alters the hydrologic cycle by increasing impervious surfaces [1,2], compacting pervious surfaces [3], replacing indigenous vegetation with irrigated ornamental vegetation [4], withdrawing water for urban uses [5], and discharging treated wastewater collected from municipal and industrial users [6]

  • Some sub-catchments, such as S4, S5, S12, S16, and S18, had higher ranks in terms of total runoff when infiltration trench was applied. These results show that different low impact development (LID) practices can be more effective for different hydrological components and that a single LID type can perform differently when applied to different locations

  • This study proposed the multi-criteria decision analysis (MCDA) system to prioritize the types and sites of LID practices the infiltration trench and porous pavement were applied, respectively

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Summary

Introduction

Urbanization alters the hydrologic cycle by increasing impervious surfaces [1,2], compacting pervious surfaces [3], replacing indigenous vegetation with irrigated ornamental vegetation [4], withdrawing water for urban uses [5], and discharging treated wastewater collected from municipal and industrial users [6]. There have been some popular DSSs such as Personal Computer Storm Water Management Model (PCSWMM) [27], System for Urban Stormwaer Treatment and Analysis IntegratioN (SUSTAIN) [28], Long-Term Hydrologic Impact Assessment-Low Impact Development (L-THIA-LID) [29], BMPSELEC [17], BMPDSS [16], and Water Management Analysis Module (WMAM) [30] which have been further developed with powerful Geographic Information System (GIS) engines, high performance sensitivity tools, and cost-benefit optimization They are not able to develop the priority of all feasible locations and types for the LID design and planning for a study area.

Description of the SWMM LID Function
TOPSIS
Subjective and Objective Weight Derivation
Functions of WMPM
Systematic Framework
Application and Results
Design parameters
Objective
Hydrological
1.10 LPS more than porous
Comparison
Conclusions

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