Department of Civil and Environmental Engineering, Dongguk University-Seoul, 100-715 Seoul, Republic of Korea.
Water Environ Res. 2013 Sep;85(9):815-22. doi: 10.2175/106143013x13736496908942.
This study examined the accuracy of an urban stormwater monitoring program in estimating the annual discharge load (L(T)) and the annual reduction rate by a stormwater treatment device (R(T)) for total suspended solids. A calibrated stormwater management model was used to generate the entire stormwater runoff events in one year and was used to estimate L(T) and R(T) under different monitoring strategies having limited numbers of runoff events, including random, wet season, antecedent dry days (ADD)-based, monthly, and seasonally weighted. For random monitoring, 12 storms were required to estimate the values of L(T) and R(T) with mean relative errors of 13.98 and 0.24%, respectively. Monthly monitoring had slightly greater mean relative errors compared to random monitoring. Wet season and ADD-based monitoring under- or overestimated both L(T) and R(T). Monitoring with equal numbers of storms from the wet and dry seasons best estimated L(T) and R(T).
本研究旨在检验城市雨水监测方案在估算总悬浮固体年度排放负荷 (L(T)) 和雨水处理装置年度削减率 (R(T)) 方面的准确性。校准后的雨水管理模型用于生成一年内的所有雨水径流事件,并用于估算不同监测策略下的 L(T) 和 R(T),这些策略下的径流事件数量有限,包括随机、雨季、前期干燥天数 (ADD) 基础、每月和季节性加权。对于随机监测,需要 12 场暴雨来估算 L(T) 和 R(T) 值,其平均相对误差分别为 13.98%和 0.24%。与随机监测相比,每月监测的平均相对误差略大。雨季和 ADD 基础监测低估或高估了 L(T) 和 R(T)。在雨季和旱季进行数量相等的暴雨监测,最能准确估算 L(T) 和 R(T)。