1 / 17 Maine Stormwater Conference (Portland, ME, 2015) LID DSS TOOL BOX: Facility Ver. 1.0 LID DSS TOOL BOX: Product Ver. 1.0 Development of LID facilities Decision Support System using Multiple Attribute Decision Making(MADM)Method Lee kyoungdo, Park Jongpyo, Choi Jongsoo, Lee Jungmin, Hwang Soodeock
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Maine Stormwater Conference (Portland, ME, 2015)
LID DSS TOOL BOX: Facility Ver. 1.0
LID DSS TOOL BOX: Product Ver. 1.0
Development of LID facilities Decision Support System using Multiple Attribute Decision Making(MADM)Method
Lee kyoungdo, Park Jongpyo, Choi Jongsoo, Lee Jungmin, Hwang Soodeock
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• The purpose of this study is to help the decision makers choose the“best” and
the easiest LID facilities and products for reducing non-point pollution in their
communities
1. Purpose of the research
(BEST)
Reduction facilities for non-point
pollution
(BEST)
Reduction products for non-
point pollution
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• LID Decision Support Systems have developed by Web Based
• LID Decision Support Systems are composed of 2 parts both facilities and
products selection
• Both systems can link together the information & management system(NPS-
LID) for reduction facilities
2. Introduction: LID DSS TOOL BOX
LID DSS TOOLBOX
(Facilities)
LID DSS TOOLBOX
(Products)
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3. Introduction : Information management system(NPS-LID)
• Sharing information: Reduction facilities and Reduction products for non‐point
pollution
• Contents of Information management system
(Definition, Kinds of Facilities , Registration of products , Reference, etc)
• The number of registered products : 50
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Basin Area
faicility Area
LandUse
Rainfall
Rainfall-runoff management
Treatment efficiency
Maintenance
Basin characteristics
Variable for Decision Making
“Best” LID Facility
•Runoff Reduction
•Hydrologic Cycle Improvement
•Nonpoint Pollutant Removal
4. LID DSS TOOL BOX (Facilities)
LID DSS TOOL BOX (Facilities)
• To plan and choose reduction facilities for non‐point pollution 15 factors (basin characteristics,
rainfall‐runoff management, Treatment efficiency , maintenance, etc.) need to be considered
• Comparing evaluations and various decision‐making variables require technical knowledge
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Decision Making: AHP Logic
『Virginia's Stormwater Impact Evaluation(Virginia water resources research center, 2009) 』
• Analytic hierarchy process
• Algorithm capable of assisting complex decision-making problems
• To helps decision makers find one that best suits their goal and their understanding of the