Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration |
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| Authors: | Siao Sun Sylvie Barraud Flora Branger Isabelle Braud Hélène Castebrunet |
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| Affiliation: | 1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographical Sciences and Natural Resource Research, Chinese Academy of Sciences, Beijing, China;2. DEEP, University of Lyon, INSA Lyon, Villeurbanne CEDEX, France;3. UR HHLY, Hydrology‐Hydraulics, Irstea, BP 32108, Villeurbanne CEDEX, France |
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| Abstract: | 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 1 decade 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. |
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| Keywords: | conceptual rainfall‐runoff model Mann‐Kendall test trend analysis urban hydrology urbanization |
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