The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21
Linhan Yang,
Jianzhu Li (),
Aiqing Kang,
Shuai Li and
Ping Feng
Additional contact information
Linhan Yang: Tianjin University
Jianzhu Li: Tianjin University
Aiqing Kang: China Institute of Water Resources and Hydropower Research
Shuai Li: University of Tennessee
Ping Feng: Tianjin University
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2020, vol. 34, issue 4, No 15, 1535-1551
Abstract:
Abstract The characteristics of urban pluvial flooding are altering all over the world due to environmental change. In this paper, generalized additive models for location, scale and shape (GAMLSS) was employed to analyze nonstationary frequency of extreme precipitation at subdaily scale. Nonstationary precipitation return periods were estimated using the expected waiting time (EWT) interpretation. A model coupling SWMM and MIKE21 was established, and calibrated and verified by three historical urban floods. Then, it was utilized to simulate urban floods under stationary and nonstationary rainfall conditions with different return periods. The simulated results illustrated that rainfall depth under nonstationarity was greater than that of stationarity when return period was less than 10 years, but the results reversed when the return period was over 20 years. The main variation of rainfall depth occurred within 6 h. The deviation of the maximum water depth was less than 10% for five return levels, and the difference in the longest inundation lengths was 1.2 h for 50-year return period under two assumptions. It may indicate that slight differences of urban flooding were detected between stationary and nonstationary conditions in the study region, which suggested a further study about urban flood under nonstationarity.
Keywords: Urban flooding; Nonstationarity; Extreme precipitation; GAMLSS; Coupled model (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11269-020-02522-7
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