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GIP-SWMM: A new Green Infrastructure Placement Tool coupled with SWMM

机译:GIP-SWMM:一种新的绿色基础设施放置工具,加上SWMM

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摘要

A new Green Infrastructure Placement Tool coupled with Storm Water Management Model (GIP-SWMM) is developed for selection and strategic placement of Green Infrastructure (GI) practices. The tool supports GI placement at multiple scales - from a few city blocks to large watersheds. GI is a multi-benefit option for stormwater management and can revitalize communities while reducing sewage overflows and improving runoff quality. However, cost-effective planning and placement of GI to achieve management goals remains a challenge and requires an integrated watershed approach. An optimization approach was developed coupled with the SWMM to find optimal combination and placement of GI to meet target flow and pollutant load reduction while minimizing cost at a watershed scale. The tool includes 13 GI types and selection and placement of GI within a watershed is based on their capital cost and effectiveness. The tool generates cost-effectiveness curves (cost vs size of GIs) for discharge and pollutants. GIP-SWMM provides a means for objective analysis of managing alternatives among multiple interacting and competing options. The desired outcome from the system application is a thorough, practical, and informative assessment considering economic, and engineering factors. The performance of the tool was evaluated in the Meade-Hawthorne drainage basin in Rapid City, South Dakota. GI placement options were assessed for multiple target levels for discharge, TSS, E coli, and Fecal coliform. Cost-effectiveness curves were developed for discharge, TSS, E coli, and Fecal coliform. Total GI cost increased as the target discharge, TSS, E coli, and Fecal coliform concentration at the outlet of the watershed was reduced. The tool placed a larger percentage of the GIs at the locations where most of the discharge and pollutant loads originated. This case study demonstrates that GIP-SWMM is a planning level decision support framework that allows for optimization of GIs and is adaptable for use in addressing regulatory compliance and practices across the U.S.
机译:开发了一种与雨水管理模型(GIP-SWMM)联合的新的绿色基础设施放置工具,用于绿色基础设施(GI)实践的选择和战略展示。该工具支持多个秤的GI放置 - 从几个城市块到大流域。 GI是雨水管理的多福利选择,可以振兴社区,同时减少污水溢出并提高径流质量。然而,高性能的规划和助理的规划和安置,以实现管理目标仍然是一个挑战,需要一个集成的流域方法。开发了一种优化方法,与SWMM相结合,以找到GI的最佳组合和放置,以满足目标流动和污染物负荷降低,同时最小化流域尺度的成本。该工具包括13 GI类型,在流域内的GI的选择和放置基于其资本成本和有效性。该工具为放电和污染物产生成本效益曲线(成本VS大小)。 GIP-SWMM提供了一种用于客观分析,用于管理多个互动和竞争选项中的替代方案。系统申请的预期结果是考虑经济和工程因素的彻底,实践和信息评估。该工具的性能在南达科他州迅速城市的Meade-Hawthorne排水盆中进行了评估。评估GI放置选项,用于发出的多个目标水平,用于放电,TSS,E CLI和FECAL COLINAL。开发了成本效益曲线用于放电,TSS,E CLI和FECAL COLIS。随着目标放电的总GI成本增加,流域出口处的TSS,e CLI和粪便大肠菌浓度增加。该工具在大多数放电和污染物载荷起源的位置处放置了更大的GIS。本案例研究表明,GIP-SWMM是一个规划级别决策支持框架,允许优化GIS,适用于解决美国专业计划的法规遵守和实践。

著录项

  • 来源
    《Journal of Environmental Management》 |2021年第1期|111409.1-111409.12|共12页
  • 作者单位

    Civil and Environmental Engineering Department South Dakota School of Mines and Technology Rapid City SD 57701 USA;

    Civil and Environmental Engineering Department South Dakota School of Mines and Technology Rapid City SD 57701 USA;

    CM and Environmental Engineering Department Colorado School of Mines Golden CO 80401 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Stormwater management; Optimization; GI placement; Cost-effectiveness curve;

    机译:雨水管理;优化;GI展示;成本效益曲线;
  • 入库时间 2022-08-18 23:02:28

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