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Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation
The evaluation of emergency response capability under different pluvial flooding scenarios is an essential approach to improve the emergency response capability of flood disasters. A new evaluation method of emergency response capacity of urban public services is proposed based on urban pluvial floo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779634/ https://www.ncbi.nlm.nih.gov/pubmed/36554422 http://dx.doi.org/10.3390/ijerph192416542 |
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author | Zhang, Yongling Zhou, Miao Kong, Nana Li, Xin Zhou, Xiaobing |
author_facet | Zhang, Yongling Zhou, Miao Kong, Nana Li, Xin Zhou, Xiaobing |
author_sort | Zhang, Yongling |
collection | PubMed |
description | The evaluation of emergency response capability under different pluvial flooding scenarios is an essential approach to improve the emergency response capability of flood disasters. A new evaluation method of emergency response capacity of urban public services is proposed based on urban pluvial flooding scenario simulation. Firstly, inundation area and depth under different pluvial flooding scenarios are simulated based on the SCS-CN model. Following that, space densities of all indicators include inundation area and depth, road network and the emergency public service institutions. Then, the indicator weight is determined by the combined weighting method of entropy weight and coefficient of variation. Finally, the emergency response capacity index (of each pixel) is calculated based on the graph stacking method. Taking Erqi District, Zhengzhou City as an example, the emergency response capacity of public service under different urban flooding scenarios is evaluated. The results show that the spatial distribution difference of public service emergency response capacity in Erqi District, Zhengzhou City is obvious, and with the increase of the precipitation return period, the high value area of public service emergency response capability decreases gradually and the low value area increases gradually. This method takes into account the specific urban flooding scenario and the layout of public service institutions and road networks that have strong practicability. the results of the evaluation can provide a reference for the construction of urban flood emergency response capacity and provide support for emergency decision-making. |
format | Online Article Text |
id | pubmed-9779634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97796342022-12-23 Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation Zhang, Yongling Zhou, Miao Kong, Nana Li, Xin Zhou, Xiaobing Int J Environ Res Public Health Article The evaluation of emergency response capability under different pluvial flooding scenarios is an essential approach to improve the emergency response capability of flood disasters. A new evaluation method of emergency response capacity of urban public services is proposed based on urban pluvial flooding scenario simulation. Firstly, inundation area and depth under different pluvial flooding scenarios are simulated based on the SCS-CN model. Following that, space densities of all indicators include inundation area and depth, road network and the emergency public service institutions. Then, the indicator weight is determined by the combined weighting method of entropy weight and coefficient of variation. Finally, the emergency response capacity index (of each pixel) is calculated based on the graph stacking method. Taking Erqi District, Zhengzhou City as an example, the emergency response capacity of public service under different urban flooding scenarios is evaluated. The results show that the spatial distribution difference of public service emergency response capacity in Erqi District, Zhengzhou City is obvious, and with the increase of the precipitation return period, the high value area of public service emergency response capability decreases gradually and the low value area increases gradually. This method takes into account the specific urban flooding scenario and the layout of public service institutions and road networks that have strong practicability. the results of the evaluation can provide a reference for the construction of urban flood emergency response capacity and provide support for emergency decision-making. MDPI 2022-12-09 /pmc/articles/PMC9779634/ /pubmed/36554422 http://dx.doi.org/10.3390/ijerph192416542 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Yongling Zhou, Miao Kong, Nana Li, Xin Zhou, Xiaobing Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation |
title | Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation |
title_full | Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation |
title_fullStr | Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation |
title_full_unstemmed | Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation |
title_short | Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation |
title_sort | evaluation of emergency response capacity of urban pluvial flooding public service based on scenario simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779634/ https://www.ncbi.nlm.nih.gov/pubmed/36554422 http://dx.doi.org/10.3390/ijerph192416542 |
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