Department of Environmental Engineering and Energy, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si, Gyeonggi-do, 17058, Republic of Korea.
Institute of Environmental Engineering and Management, Mehran University of Engineering and Technology, Jamshoro, 76062, Sindh, Pakistan.
Sci Total Environ. 2017 Dec 1;599-600:2142-2155. doi: 10.1016/j.scitotenv.2017.05.081. Epub 2017 May 29.
Mitigating for the negative impacts of stormwater runoff is becoming a concern due to increased land development. Understanding how land development influences stormwater runoff is essential for sustainably managing water resources. In recent years, aggregate low impact development-best management practices (LID-BMPs) have been implemented to reduce the negative impacts of stormwater runoff on receiving water bodies. This study used an integrated approach to determine the influence of land development and assess the ecological benefits of four aggregate LID-BMPs in stormwater runoff from a mixed land use and land cover (LULC) catchment with ongoing land development. It used data from 2011 to 2015 that monitored 41 storm events and monthly LULC, and a Personalized Computer Storm Water Management Model (PCSWMM). The four aggregate LID-BMPs are: ecological (S1), utilizing pervious covers (S2), and multi-control (S3) and (S4). These LID-BMPs were designed and distributed in the study area based on catchment characteristics, cost, and effectiveness. PCSWMM was used to simulate the monitored storm events from 2014 (calibration: R and NSE>0.5; RMSE <11) and 2015 (validation: R and NSE>0.5; RMSE <12). For continuous simulation and analyzing LID-BMPs scenarios, the five-year (2011 to 2015) stormwater runoff data and LULC change patterns (only 2015 for LID-BMPs) were used. Results show that the expansion of bare land and impervious cover, soil alteration, and high amount of precipitation influenced the stormwater runoff variability during different phases of land development. The four aggregate LID-BMPs reduced runoff volume (34%-61%), peak flow (6%-19%), and pollutant concentrations (53%-83%). The results of this study, in addition to supporting local LULC planning and land development activities, also could be applied to input data for empirical modeling, and designing sustainable stormwater management guidelines and monitoring strategies.
由于土地开发的增加,减轻雨水径流的负面影响已成为人们关注的焦点。了解土地开发如何影响雨水径流对于可持续管理水资源至关重要。近年来,已实施了综合措施来减少雨水径流对受纳水体的负面影响,这些措施包括低影响开发最佳管理措施(LID-BMP)。本研究采用综合方法,确定了土地开发的影响,并评估了正在进行土地开发的混合土地利用和土地覆盖(LULC)流域中四个综合 LID-BMP 在雨水径流中的生态效益。本研究使用了 2011 年至 2015 年的数据,这些数据监测了 41 次风暴事件和每月的 LULC,并使用了个人计算机雨水管理模型(PCSWMM)。四个综合 LID-BMP 是:生态(S1)、利用渗透覆盖(S2)、多控制(S3)和(S4)。这些 LID-BMP 是根据流域特征、成本和有效性在研究区域内设计和分布的。PCSWMM 用于模拟 2014 年(校准:R 和 NSE>0.5;RMSE<11)和 2015 年(验证:R 和 NSE>0.5;RMSE<12)监测到的风暴事件。为了连续模拟和分析 LID-BMP 情景,使用了五年(2011 年至 2015 年)的雨水径流数据和 LULC 变化模式(仅用于 LID-BMP 的 2015 年)。结果表明,裸地和不透水覆盖面积的扩大、土壤改变以及大量降水影响了土地开发不同阶段的雨水径流变化。四个综合 LID-BMP 减少了径流量(34%-61%)、峰值流量(6%-19%)和污染物浓度(53%-83%)。除了支持当地的 LULC 规划和土地开发活动外,本研究的结果还可以应用于经验模型的输入数据,以及设计可持续的雨水管理准则和监测策略。