Stochastic modelling of the hydrologic operation of rainwater harvesting systems
Stochastic modelling of the hydrologic operation of rainwater harvesting systems
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DOI：
10.1016/j.jhydrol.2018.04.062
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发表时间：
2018-07
影响因子：
6.4
通讯作者：
Rui Guo;Yiping Guo
中科院分区：
文献类型：
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作者：
Rui Guo;Yiping Guo
雨水收集（RWH）系统是一种有效的低影响开发实践，既提供供水又减少径流。本文提出了一种随机模拟方法来量化供水可靠性和雨水收集系统的效率。输入的降雨量序列表示为一个显着的泊松过程和两个典型的用水模式进行了解析描述。解析求解了随机质量平衡方程，并在此基础上导出了系统性能与系统特性的显式表达式。位于美国五个代表性的气候区域的各种RWH系统的性能检查使用新推导的分析方程。分析和连续模拟结果之间的密切协议显示所有比较的情况下。此外，分析方程表示所需的存储大小作为所需的供水可靠性，平均用水率，以及降雨和集水特性的函数。本文开发的方程构成了一个方便和有效的工具，大小RWH系统和评估其性能。
Rainwater harvesting (RWH) systems are an effective low impact development practice that provides both water supply and runoff reduction benefits. A stochastic modelling approach is proposed in this paper to quantify the water supply reliability and stormwater capture efficiency of RWH systems. The input rainfall series is represented as a marked Poisson process and two typical water use patterns are analytically described. The stochastic mass balance equation is solved analytically, and based on this, explicit expressions relating system performance to system characteristics are derived. The performances of a wide variety of RWH systems located in five representative climatic regions of the United States are examined using the newly derived analytical equations. Close agreements between analytical and continuous simulation results are shown for all the compared cases. In addition, an analytical equation is obtained expressing the required storage size as a function of the desired water supply reliability, average water use rate, as well as rainfall and catchment characteristics. The equations developed herein constitute a convenient and effective tool for sizing RWH systems and evaluating their performances.