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中国农村社区应对自然灾害的韧性测量。

The measurement of rural community resilience to natural disaster in China.

机构信息

Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.

University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Sci Rep. 2024 Sep 2;14(1):20322. doi: 10.1038/s41598-024-70719-6.

DOI:10.1038/s41598-024-70719-6
PMID:39223225
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11369188/
Abstract

Comparing with cities, rural communities especially those declining rural communities have become vulnerable to natural disasters owing to their backward socioeconomic conditions. Taking Xun County of China's Henan Province as the study area, the paper aims to evaluate rural community resilience to flood by unveiling the connection between individuals' cognition, follow-up actions and the community resilience. Research results show that: (1) The logic chain exists as individual's cognition to disaster leads to their constructive actions to cope with disaster, which contribute to community resilience. (2) At the cognition dimension, individual's knowledge reserve of disaster prevention and their recognition to local authority are playing an important role in their decision making and follow-up behaviors when disaster occurs. (3) At the action dimension, individual's familiarity with the disaster preparedness, efficient information transmission when disaster occurs and villagers' following order and their unity of action all contribute to community resilience to disaster. The paper proposes ways to improve rural community resilience to disasters based on the research findings.

摘要

与城市相比,农村社区,尤其是那些衰落的农村社区,由于其落后的社会经济条件,更容易受到自然灾害的影响。本文以中国河南省逊县为研究区域,旨在通过揭示个人认知、后续行动与社区弹性之间的关系,评估农村社区对洪水的弹性。研究结果表明:(1)个体对灾害的认知导致其采取建设性的应对灾害的行动,从而有助于社区的弹性,这种逻辑链是存在的。(2)在认知维度上,个体的防灾知识储备和对地方当局的认识在灾害发生时对其决策和后续行为起着重要作用。(3)在行动维度上,个体对灾害准备的熟悉程度、灾害发生时的有效信息传递以及村民的遵守秩序和行动的一致性都有助于提高社区对灾害的弹性。本文根据研究结果提出了提高农村社区灾害应对能力的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/ebce64d9957d/41598_2024_70719_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/b28e471852a3/41598_2024_70719_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/98c6f6201c3a/41598_2024_70719_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/ee6d98178bfd/41598_2024_70719_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/53121cd1a411/41598_2024_70719_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/7cc668153646/41598_2024_70719_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/ebce64d9957d/41598_2024_70719_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/b28e471852a3/41598_2024_70719_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/98c6f6201c3a/41598_2024_70719_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/ee6d98178bfd/41598_2024_70719_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/53121cd1a411/41598_2024_70719_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/7cc668153646/41598_2024_70719_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1041/11369188/ebce64d9957d/41598_2024_70719_Fig6_HTML.jpg

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