2017
DOI: 10.1002/hyp.11109
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Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration

Abstract: . Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration. Hydrological Processes, Wiley, 2017Wiley, , 31 (6), pp.1349Wiley, -1359Wiley, . 10.1002 Manuscript accepted for publication in Hydrological Processes, December 2016, doi: 10.1002 1 Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual

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Cited by 14 publications
(9 citation statements)
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“…Charlier et al (2015) applied the wavelet transform method to detect changes in the PRR. Sun et al (2016) assessed hydrologic trends in urban catchments using a conceptual urban precipitation-runoff model, which is beneficial for storm water management and planning. There is no doubt that variations in the PRR reflect the actual integrated volume of precipitation and runoff.…”
Section: Introductionmentioning
confidence: 99%
“…Charlier et al (2015) applied the wavelet transform method to detect changes in the PRR. Sun et al (2016) assessed hydrologic trends in urban catchments using a conceptual urban precipitation-runoff model, which is beneficial for storm water management and planning. There is no doubt that variations in the PRR reflect the actual integrated volume of precipitation and runoff.…”
Section: Introductionmentioning
confidence: 99%
“…The Mann-Kendall method (Kendall, 1955;Mann, 1945), a nonparametric trend detection test extensively applied in climatology and hydrology (e.g., Gocic and Trajkovic, 2013;Sun et al, 2017), is used in this study to examine whether a variable exhibits a trend. It tests the null hypothesis H0 of trend absence in the vector [x1, x2,…, xn] against the alternative of a trend.…”
Section: Mann-kendall Methods and Sen's Slopementioning
confidence: 99%
“…Global models of rainfall-runoff were applied on catchment scale as well as individual surface scale (rooftops and paved areas). The most commonly adopted approach is the constant initial loss and constant runoff coefficient e.g., [18,32,[83][84][85][86]. Few others considered variable initial losses to substitute for a continuous simulation and the effect of dry weather on initial conditions e.g., [13,78].…”
Section: Model Evaluationmentioning
confidence: 99%