2023
DOI: 10.3389/fenvs.2022.1072505
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Determination of the cost-benefit efficient interval for sponge city construction by a multi-objective optimization model

Abstract: The cost-benefit is a key factor when selecting an appropriate sponge city construction scheme. The research of applying intelligent technology to find cost-benefit efficient planning and construction of sponge city is urgently required. This paper established a multi-objective simulation optimization framework of sponge city construction which considered minimization of runoff control rate, pollutant control rate and life-cycle cost Non-dominated sorting genetic algorithm (NSGA-II) was successfully coupled to… Show more

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Cited by 3 publications
(1 citation statement)
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“…Numerical calculations were performed for 2 monitored rainfall events from 2021 and 2023, measured by the local weather station. The third rainfall event assumed to numerical calculations reflected rain commonly accepted to stormwater system design in Poland, with unit outflow 177 dm 3 /(s•hectare), with duration t = 15 min, probability p = 20%, and appearance once per 5 years [62], which was fitted to Chicago model rain distribution [63,64]. The assumption of these three rainfall events of different intensities and unit runoff was aimed to test the proposed green roof designs under variable climatic conditions.…”
Section: Numerical Modelingmentioning
confidence: 99%
“…Numerical calculations were performed for 2 monitored rainfall events from 2021 and 2023, measured by the local weather station. The third rainfall event assumed to numerical calculations reflected rain commonly accepted to stormwater system design in Poland, with unit outflow 177 dm 3 /(s•hectare), with duration t = 15 min, probability p = 20%, and appearance once per 5 years [62], which was fitted to Chicago model rain distribution [63,64]. The assumption of these three rainfall events of different intensities and unit runoff was aimed to test the proposed green roof designs under variable climatic conditions.…”
Section: Numerical Modelingmentioning
confidence: 99%