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一种基于熵的方法来估计处于洪水中人群的不稳定准则。

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

作者信息

Zhu Zhongfan, Zhang Yongpeng, Gou Lufeng, Pang Bo

机构信息

Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, China.

出版信息

Entropy (Basel). 2021 Jan 6;23(1):74. doi: 10.3390/e23010074.

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.

摘要

在城市洪水中,人们总是容易失去稳定性,从而导致严重伤亡。因此,必须确定洪水中人员不稳定的安全标准。在本研究中,基于香农熵理论,采用概率方法推导了洪水中人员不稳定的水动力标准,即起始流速和水深。所推导的模型可以表征洪水中人员起始流速随淹没水深的变化。此外,与文献中现有的七个实验数据集进行比较,结果表明所提出的基于熵的模型在考虑数据离散性方面是有效的。对推导模型中一些纳入参数进行了敏感性分析,定性结果与我们对洪水中人员不稳定物理机制的理解一致。以中国成年人和儿童的身体参数(身高和体重)为例,本研究还展示了中国成年人和儿童在洪水情况下的脆弱程度。这些研究结果可为管理人员和利益相关者减轻洪水灾害和制定洪水战略管理提供参考。本研究表明,基于熵的方法可能是现有确定性模型的一个有价值的补充,用于表征城市洪水事件中人员的不稳定标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2568/7825550/6b924f5da1a0/entropy-23-00074-g001.jpg

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