Literature DB >> 33419199

An Entropic Approach to Estimating the Instability Criterion of People in Floodwaters.

Zhongfan Zhu1, Yongpeng Zhang1, Lufeng Gou1, Bo Pang1.   

Abstract

People are always susceptible to a loss of stability in urban floodwaters that leads to serious casualties. Thus, the safety criterion for the instability of people in floodwaters must be determined. In this study, the hydrodynamic criterion of the instability of people in floodwaters in terms of the incipient velocity and water depth is derived using the probability method based on Shannon entropy theory. The derived model can characterize variations in the incipient velocity of people in floodwaters with respect to the inundating water depth. Furthermore, a comparison with seven experimental datasets available in the literature shows the validity of the proposed entropy-based model considering data scattering. A sensitivity analysis of the derived model to some of the incorporated parameters was performed, and the qualitative results are in accordance with our understanding of the physical mechanism of the instability of people in floodwaters. Taking the physical parameters (height and mass) of Chinese adults and children as a representative example, this study also showed the vulnerability degree of Chinese adults and children subject to floodwaters. These findings could provide a reference for administrators and stakeholders for flood hazard mitigation and flood strategy management. This study shows that an entropy-based method could be a valuable addition to existing deterministic models for characterizing the instability criterion of people in an urban flooding event.

Entities:  

Keywords:  criterion; entropy; flooding; instability; people

Year:  2021        PMID: 33419199      PMCID: PMC7825550          DOI: 10.3390/e23010074

Source DB:  PubMed          Journal:  Entropy (Basel)        ISSN: 1099-4300            Impact factor:   2.524


  3 in total

1.  Flood risk and adaptation strategies under climate change and urban expansion: A probabilistic analysis using global data.

Authors:  Sanne Muis; Burak Güneralp; Brenden Jongman; Jeroen C J H Aerts; Philip J Ward
Journal:  Sci Total Environ       Date:  2015-08-28       Impact factor: 7.963

2.  Flood-induced mortality across the globe: Spatiotemporal pattern and influencing factors.

Authors:  Pan Hu; Qiang Zhang; Peijun Shi; Bo Chen; Jiayi Fang
Journal:  Sci Total Environ       Date:  2018-06-21       Impact factor: 7.963

3.  A Simple Explicit Expression for the Flocculation Dynamics Modeling of Cohesive Sediment Based on Entropy Considerations.

Authors:  Zhongfan Zhu
Journal:  Entropy (Basel)       Date:  2018-11-04       Impact factor: 2.524

  3 in total

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