Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
Sun, Siao1; Barraud, Sylvie2; Branger, Flora3; Braud, Isabelle3; Castebrunet, Helene2
刊名HYDROLOGICAL PROCESSES
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
DOI10.1002/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.
资助项目Rhone-Mediterranean and Corsica Water Agency ; Greater Lyon
WOS关键词WATER-QUALITY DATA ; POLLUTANT CONCENTRATIONS ; STATISTICAL TESTS ; MANN-KENDALL ; CATCHMENT ; PRECIPITATION ; URBANIZATION ; VARIABILITY ; IMPACT ; REGIME
WOS研究方向Water Resources
语种英语
出版者WILEY
WOS记录号WOS:000395628600011
资助机构Rhone-Mediterranean and Corsica Water Agency ; Greater Lyon
内容类型期刊论文
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.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Univ Lyon, DEEP, INSA Lyon, F-69621 Villeurbanne, France
3.Irstea, UR HHLY, Hydrol Hydraul, 5 Rue La Doua,BP 32108, 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.
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