气候变化领域集成服务门户(CCPortal): An empirical approach for computing surface runoff concentration time

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DOI	10.2166/wcc.2018.061
	An empirical approach for computing surface runoff concentration time
	Bao S.; Wang X.; Li H.; Lv H.; Li Y.
发表日期	2018
ISSN	20402244
起始页码	410
结束页码	420
卷号	9 期号:2
英文摘要	This article examines data from the Shihuiyao, Nierji, Tongmeng, Jiangqiao, and Dalai hydrological stations in the Nen River basin to understand the hydrological processes occurring in the catchments. Daily precipitation and runoff data from 1955 to 1973 were combined using the smoothed minima trial method to determine the surface runoff concentration time. Then, a genetic algorithm was used to optimize the parameters and obtain an optimal empirical formula. An improved empirical formula was implemented with the genetic algorithm and optimized parameters then incorporated variable average rainfall intensity, correlation between basin area, surface runoff average concentration time, and average rainfall intensity. Finally, an optimized empirical formula (using genetic algorithm to optimize the parameters) and improved empirical formula (incorporating variable average rainfall intensity) were tested by using the daily precipitation and runoff data from the Baishan and Hongshi hydrological stations of the Second Songhua River. The results show that an optimized and improved formula can be used to more accurately estimate hydrologic conditions in the Nen River. Therefore, the improved formula is an efficient method for calculating surface runoff concentration time. Surface runoff concentration time is an important basis for differentiating source waters, which include surface runoff and underground runoff. © IWA Publishing 2018.
英文关键词	Average concentration time; Empirical formula; Genetic algorithm; Surface runoff; Trial method
语种	英语
scopus关键词	Catchments; Genetic algorithms; Parameter estimation; Rain; Rivers; Average concentration; Daily precipitations; Empirical formulas; Hydrologic conditions; Hydrological process; Second songhua rivers; Surface runoffs; Trial method; Runoff; catchment; empirical analysis; genetic algorithm; precipitation (climatology); precipitation intensity; river basin; runoff; China; Nen River; Songhua River
来源期刊	Journal of Water and Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/148056
作者单位	Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210029, China
推荐引用方式 GB/T 7714	Bao S.,Wang X.,Li H.,et al. An empirical approach for computing surface runoff concentration time[J],2018,9(2).
APA	Bao S.,Wang X.,Li H.,Lv H.,&Li Y..(2018).An empirical approach for computing surface runoff concentration time.Journal of Water and Climate Change,9(2).
MLA	Bao S.,et al."An empirical approach for computing surface runoff concentration time".Journal of Water and Climate Change 9.2(2018).