Low impact development best management practices (LID-BMPs) are considered to be cost-effective measures for mitigating the water quantity and quality impact of urban runoff. Currently, there are many types of LID-BMPs, and each type has its own intrinsic technical and/or economical characteristics and limitations for implementation. The selection of the most appropriate BMP type(s) for a specific installation site is therefore a very important planning step. In the present study, a multi-criteria selection index system (MCIS) for LID-BMP planning was developed. The selection indexes include 12 first-level indices and 26 second-level indices which reflect the specific installation site characteristics pertaining to site suitability, runoff control performance, and economics of implementation. A mechanism for ranking the BMPs was devised. First, each individual second-level index was assigned a numeric value that was based on site characteristics and information on LID-BMPs. The quantified indices were normalized and then integrated to obtain the score for each of the first-level index. The final evaluation scores of each LID-BMP were then calculated based on the scores for the first-level indices. Finally, the appropriate BMP types for a specific installation site were determined according to the rank of the final evaluation scores. In order to facilitate the application of the MCIS BMP ranking system, the computational process has been coded into a software program, BMPSELEC. A case study demonstrating the MCIS methodology, using an LID-BMP implementation planning at a college campus in Foshan, Guangdong Province, is presented.
To assist stormwater management professionals in planning for implementation of best management practices (BMPs), efforts have been under way by the U.S. Environmental Protection Agency (EPA) since 2003 to develop a decision-support system for placement of BMPs at strategic locations in urban watersheds. This tool will help develop, evaluate, select, and place BMP options in various watershed scales based on cost and effectiveness. The system is called the System for Urban Stormwater Treatment and Analysis INtegration (SUSTAIN). SUSTAIN has seven key components: framework manager, ArcGIS interface, watershed module, BMP module, optimization module, post-processor, and Microsoft Access database. They are integrated under a common ArcGIS platform. The completed Phase 1 work included a framework design with all major components in place. The ongoing Phase 2 work will expand the capabilities and functionalities of the system. In addition to describing the background of the SUSTAIN development and framework components, presented in this paper is a SUSTAIN's preprocessing tool to facilitate BMP selection and configuration. Also discussed are adopted simulation processes for watershed runoff computation and routing through BMPs; an approach to address dual objectives of pollution and flood control; optimization search algorithms; and a multi-tier optimization strategy to develop large watershed-scale solutions from information developed in small-scale watersheds. Finally in this paper, the issue of balancing computational efficiency during the optimization process with the process simulation details is described. KEYWORDSStormwater, best management practices, low impact development, GIS, flow and water quality modeling, cost, and optimization.
Prince George's County, Maryland, in the Washington D.C. metropolitan area has developed a best management practice decision support system (BMPDSS) to support analysis and decision making for stormwater management planning and design at both the site scale and the watershed levels. This paper presents a detailed description of the BMPDSS. A case study that demonstrates the application of the system is also included. The case study involves a Green Highway project located in a highly urbanized area within the Anacostia River watershed of the county. Several best management practices (BMP) such as bioretention, filter vegetative swale, porous paving, and landscape infiltration are proposed for reducing highway runoff and improving water quality. The BMPDSS is used to identify and evaluate various alternatives to determine the most costeffective types and combinations of BMPs that minimize the highway runoff pollution.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.