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Uncertainty-based parameter estimation for urban pollutant buildup and washoff simulation using a multiple pattern inverse modeling approach

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  • Wang, Qian
  • Zou, Rui
  • Khalid, Alvi
  • Yang, Tao

Abstract

Reliable model parameter estimation for stormwater runoff water quality modeling has always been a challenge, especially in ungauged areas. Insufficient local observations can increase parameter uncertainty, leading to modeling outputs of limited credibility. This paper proposes an event-based multiple pattern inverse modeling approach to estimate regional-scale parameters characterizing the buildup and washoff processes in urban watersheds. The approach explicitly accounts for system uncertainties by simultaneously using a wide range of storm events. A genetic algorithm was employed to solve the inverse models. The solution populations that minimize the error between the observed and predicted values were then filtered into distinct parameter groups using a K-means clustering algorithm. Each identified parameter group may be used to represent the buildup and washoff processes.

Suggested Citation

  • Wang, Qian & Zou, Rui & Khalid, Alvi & Yang, Tao, 2020. "Uncertainty-based parameter estimation for urban pollutant buildup and washoff simulation using a multiple pattern inverse modeling approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 175(C), pages 140-152.
  • Handle: RePEc:eee:matcom:v:175:y:2020:i:c:p:140-152
    DOI: 10.1016/j.matcom.2019.07.009
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    References listed on IDEAS

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    1. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    2. Zou, Rui & Lung, Wu-Seng & Wu, Jing, 2009. "Multiple-pattern parameter identification and uncertainty analysis approach for water quality modeling," Ecological Modelling, Elsevier, vol. 220(5), pages 621-629.
    3. Iqbal Hossain & Monzur Alam Imteaz & Mohammed Iqbal Hossain, 2012. "Application of a catchment water quality model for an East-Australian catchment," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 12(2/3/4), pages 242-255.
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