2007
DOI: 10.1061/(asce)1084-0699(2007)12:5(540)
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New Runoff Simulation Model for Small Urban Catchments

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Cited by 31 publications
(19 citation statements)
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“…Monte-Carlo method and Nash-Sutcliffe efficiency coefficients was adopted to estimate and compare the simulation and monitoring results. The Nash-Sutcliffe efficiency coefficient of calibration events was 0.87 (generally an effective value greater than 0.7) [45].…”
Section: Effects Of Patterns Of Ir On Flooding Based On Swmmmentioning
confidence: 91%
“…Monte-Carlo method and Nash-Sutcliffe efficiency coefficients was adopted to estimate and compare the simulation and monitoring results. The Nash-Sutcliffe efficiency coefficient of calibration events was 0.87 (generally an effective value greater than 0.7) [45].…”
Section: Effects Of Patterns Of Ir On Flooding Based On Swmmmentioning
confidence: 91%
“…The average Nash-Sutcliff model efficiency (NSE in Table 1) for T and DO are 0.86 (11 lakes with NSE > 0.90) and 0.66 (10 lakes with NSE > 0.80). Bennis and Crobeddu [42] suggested that a good agreement between simulated and measured discharges is achieved when NSE exceeds 0.7. Model calibration results for 23 lakes are similar to magnitude of error parameters of one-dimensional lake model in previous studies [37].…”
Section: Temperature and Do Model Calibration And Simulation In 23 MImentioning
confidence: 96%
“…The second hyetograph was calculated using the method proposed by Keifer and Chu [27], and resulted in a hyetograph that subsequently is called the "K&C distribution" of Beijing design storm in this paper. data [26]. Likewise, RE values between 0% and 25% show that the SWMM model reasonably well represents flow and water quality processes in the study area.…”
Section: Rainfall Hyetographmentioning
confidence: 55%
“…E NS value ranges from´8 to 1, and scientists generally recognize that E NS values exceeding 0.7 suggest that the simulated results have a good agreement with observed data [26]. Likewise, RE values between 0% and 25% show that the SWMM model reasonably well represents flow and water quality processes in the study area.…”
Section: Model Calibration and Validationmentioning
confidence: 70%