气候变化领域集成服务门户(CCPortal): StRaWHAT: A stochastic rainwater harvesting assessment tool for direct quantification of rainwater harvesting system performance

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DOI	10.1016/j.jclepro.2024.140582
	StRaWHAT: A stochastic rainwater harvesting assessment tool for direct quantification of rainwater harvesting system performance
	Wang, Jun; Jia, Jingjing; Cao, Shengle; Diao, Yijiao; Wang, Jiachang; Guo, Yiping
发表日期	2024
ISSN	0959-6526
EISSN	1879-1786
起始页码	436
卷号	436
英文摘要	Rainwater harvesting (RWH) contributes to reduced flooding and relief of demand on water supply systems and is instrumental in sustainable development. The conventional analytical probabilistic approach for RWH has a limitation of requiring an assumption of the initial storage condition which may cause overestimation or underestimation of the system's performance. By deriving the average storage volume of the RWH tank to get rid of such an assumption, a stochastic rainwater harvesting assessment tool (StRaWHAT) which is comprised of a set of closed-form analytical equations was developed and proposed for use in directly quantifying the hydrological performance statistics of RWH systems. The accuracy of StRaWHAT was verified by comparing its results with those obtained from continuous simulations based on mass balance principles for a large number of design scenarios with different climate conditions (6 cities in China and the US), storage capacities (1-20 m3) and water use rates (0.5, 1, 1.5 or 2 m3/day). Close agreements (NSE = 0.984, RMSE = 0.022, and CORR = 0.995) between StRaWHAT and continuous simulation results illustrated that StRaWHAT can provide accurate results for all types of system configurations. Extensive example case studies were carried out for RWH systems located in six cities in China and the U.S. Different types of applications were also illustrated. Overall, the proposed StRaWHAT was proved to be a computationally efficient and ease-to-use tool for directly assessing the hydrological performance of RWH systems.
英文关键词	Rainwater harvesting; Analytical probabilistic approach; Stormwater control efficiency; Water supply reliability; Continuous simulation
语种	英语
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS记录号	WOS:001164537600001
来源期刊	JOURNAL OF CLEANER PRODUCTION
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/298082
作者单位	Shandong University; McMaster University
推荐引用方式 GB/T 7714	Wang, Jun,Jia, Jingjing,Cao, Shengle,et al. StRaWHAT: A stochastic rainwater harvesting assessment tool for direct quantification of rainwater harvesting system performance[J],2024,436.
APA	Wang, Jun,Jia, Jingjing,Cao, Shengle,Diao, Yijiao,Wang, Jiachang,&Guo, Yiping.(2024).StRaWHAT: A stochastic rainwater harvesting assessment tool for direct quantification of rainwater harvesting system performance.JOURNAL OF CLEANER PRODUCTION,436.
MLA	Wang, Jun,et al."StRaWHAT: A stochastic rainwater harvesting assessment tool for direct quantification of rainwater harvesting system performance".JOURNAL OF CLEANER PRODUCTION 436(2024).