Investigators from Beijing Normal University Release New Data on Environmental Water Research (A Surrogate-based Optimization Design and Uncertainty Analysis for Urban Flood Mitigation)

2019 NOV 27 (NewsRx) -- By a News Reporter-Staff News Editor at Ecology Daily News -- New research on Environmental Water Research is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “This study proposes a surrogate-based optimization framework (SBO) to help analyze the tradeoff between flood damages and investment while considering uncertainty originating from surrogates. The surrogate models were constructed based on the relationship between drainage specifications and simulated flood information and used to replace the numerical model in optimization, thereby reducing the computational burden.”

Funders for this research include Natural Science Foundation of China, Science and Technology Plans of Ministry of Housing and Urban-Rural Development of the People’s Republic of China, Opening Projects of Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture, project of the Beijing Laboratory of Water Resources Security, project of Beijing Flash Flood Disaster Monitoring and Risk Assessment.

Our news journalists obtained a quote from the research from Beijing Normal University, “The bootstrapping approach was employed to quantify the uncertainty originating from surrogate models, which were incorporated into the NSGA-II optimization algorithm to seek the interval of optimal solutions. Through a case study, the results showed that the uncertainties caused by surrogate models have a significant influence on the reliability of the optimal solutions, but require lower computational efforts. Moreover, the local design conditions (i.e., various designed rainfalls) had an impact on the design and performance of the detention tanks.”

According to the news editors, the research concluded: “The proposed framework will facilitate cost-effective planning of flood mitigation systems with an awareness of associated uncertainty in order to resolve tradeoffs, particularly for large-scale problems.”

For more information on this research see: A Surrogate-based Optimization Design and Uncertainty Analysis for Urban Flood Mitigation. Water Resources Management, 2019;():. Water Resources Management can be contacted at: Springer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands. (Springer - www.springer.com; Water Resources Management - http://www.springerlink.com/content/0920-4741/)

Our news journalists report that additional information may be obtained by contacting Y.H. Chen, Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Remote Sensing Science, Beijing 100875, People’s Republic of China. Additional authors for this research include W. Zhang, J. Li and Y. Li.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s11269-019-02355-z. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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