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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). |
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