Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907-2093, USA.
Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907-2093, USA.
J Environ Manage. 2015 Jan 1;147:12-23. doi: 10.1016/j.jenvman.2014.09.005. Epub 2014 Sep 27.
Best management practices (BMPs) and low impact development (LID) practices are increasingly being used as stormwater management techniques to reduce the impacts of urban development on hydrology and water quality. To assist planners and decision-makers at various stages of development projects (planning, implementation, and evaluation), user-friendly tools are needed to assess the effectiveness of BMPs and LID practices. This study describes a simple tool, the Long-Term Hydrologic Impact Assessment-LID (L-THIA-LID), which is enhanced with additional BMPs and LID practices, improved approaches to estimate hydrology and water quality, and representation of practices in series (meaning combined implementation). The tool was used to evaluate the performance of BMPs and LID practices individually and in series with 30 years of daily rainfall data in four types of idealized land use units and watersheds (low density residential, high density residential, industrial, and commercial). Simulation results were compared with the results of other published studies. The simulated results showed that reductions in runoff volume and pollutant loads after implementing BMPs and LID practices, both individually and in series, were comparable with the observed impacts of these practices. The L-THIA-LID 2.0 model is capable of assisting decision makers in evaluating environmental impacts of BMPs and LID practices, thereby improving the effectiveness of stormwater management decisions.
最佳管理措施 (BMP) 和低影响开发 (LID) 实践越来越多地被用作雨水管理技术,以减少城市发展对水文学和水质的影响。为了协助规划人员和决策者在发展项目的各个阶段(规划、实施和评估),需要使用用户友好的工具来评估 BMP 和 LID 实践的有效性。本研究描述了一种简单的工具,即长期水文影响评估-LID(L-THIA-LID),该工具通过增加额外的 BMP 和 LID 实践、改进水文和水质估计方法以及代表实践的串联(意味着联合实施)得到了增强。该工具用于评估 BMP 和 LID 实践的性能,包括单独使用和串联使用 30 年的每日降雨数据,在四种理想化的土地利用单元和流域(低密度住宅、高密度住宅、工业和商业)中进行评估。模拟结果与其他已发表研究的结果进行了比较。模拟结果表明,单独使用和串联使用 BMP 和 LID 实践后,径流量和污染物负荷的减少与这些实践的实际影响相当。L-THIA-LID 2.0 模型能够协助决策者评估 BMP 和 LID 实践的环境影响,从而提高雨水管理决策的有效性。