Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
文献类型：期刊论文
| 作者 | Sun, Siao2; Barraud, Sylvie3; Branger, Flora1; Braud, Isabelle1; Castebrunet, Helene3 |
| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2017-03-15 |
| 卷号 | 31期号:6页码:1349-1359 |
| 关键词 | conceptual rainfall-runoff model Mann-Kendall test trend analysis urban hydrology urbanization |
| ISSN号 | 0885-6087 |
| DOI | 10.1002/hyp.11109 |
| 通讯作者 | Sun, Siao(suns@igsnrr.ac.cn) |
| 英文摘要 | Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, that is, Chassieu and La Lechere, based on approximately 1decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological process driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series. |
| WOS关键词 | WATER-QUALITY DATA ; POLLUTANT CONCENTRATIONS ; STATISTICAL TESTS ; MANN-KENDALL ; CATCHMENT ; PRECIPITATION ; URBANIZATION ; VARIABILITY ; IMPACT ; REGIME |
| 资助项目 | Rhone-Mediterranean and Corsica Water Agency ; Greater Lyon |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000395628600011 |
| 出版者 | WILEY |
| 资助机构 | Rhone-Mediterranean and Corsica Water Agency ; Greater Lyon |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/64777]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Sun, Siao |
| 作者单位 | 1.Irstea, UR HHLY, Hydrol Hydraul, 5 Rue La Doua,BP 32108, F-69621 Villeurbanne, France 2.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 3.Univ Lyon, DEEP, INSA Lyon, F-69621 Villeurbanne, France |
| 推荐引用方式 GB/T 7714 | Sun, Siao,Barraud, Sylvie,Branger, Flora,et al. Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration[J]. HYDROLOGICAL PROCESSES,2017,31(6):1349-1359. |
| APA | Sun, Siao,Barraud, Sylvie,Branger, Flora,Braud, Isabelle,&Castebrunet, Helene.(2017).Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration.HYDROLOGICAL PROCESSES,31(6),1349-1359. |
| MLA | Sun, Siao,et al."Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration".HYDROLOGICAL PROCESSES 31.6(2017):1349-1359. |
入库方式： OAI收割
来源：地理科学与资源研究所
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