Community-based earthquake disaster risk reduction in China: integrating local and scientific knowledge for planning and preparedness
中国以社区为基础的地震灾害风险降低:整合当地和科学知识进行规划和备灾
基本信息
- 批准号:NE/N012216/1
- 负责人:
- 金额:$ 47.54万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Earthquakes are a major threat to lives, livelihoods, and economic development in China. Of the 2-2.5 million deaths in earthquakes worldwide since 1900, at least 650,000 have occurred in China. Chinese earthquakes have caused three of the ten highest death tolls in earthquakes since 1900 and have led to estimated losses of $678 billion (in 2012 USD). The 2008 Wenchuan earthquake alone caused direct economic losses of more than RMB840 billion, despite affecting largely rural areas of Sichuan province and causing only minor damage to the provincial capital of Chengdu. A future earthquake in China could cause catastrophic losses, and disaster risk reduction (DRR) efforts in China are therefore of critical importance.Local communities play a critical role in DRR preparation and planning. In the immediate aftermath of a large earthquake, communities are often cut off from outside resources and assistance, and must rely on their own plans and capacities. This is especially true of communities in remote or mountainous areas like northwestern China. While DRR planning in China has traditionally followed a very centralised approach, there is growing recognition of the importance of community-based disaster risk reduction (CBDRR) efforts. Most notably, the Ministry of Civil Affairs has embarked on a major programme to establish a network of thousands of 'demonstration communities' that have met minimum requirements for local-scale disaster preparedness. The proposed research is specifically aimed at supporting and enhancing the MoCA programme. Our work will ensure that it draws on broad scientific knowledge of the hazard, including secondary earthquake hazards such as landslides. Our work will also explore the factors that make communities more or less willing to engage in CBDRR, so that the MoCA programme can best reflect the broad diversity of communities that are exposed to that hazard.We will first look at the ways in which CBDRR is achieved in China, and how these approaches compare to those in other earthquake-prone countries. At the same time, we will produce a new inventory of landslides in northwestern China (an area that includes Gansu, Shaanxi, and Ningxia provinces), and will generate new knowledge on the sizes and effects of past landslides as a guide to landslide hazard in future earthquakes. Finally, we will work with two specific communities to find out their priority concerns and their awareness of the hazards that they face, and to come up with ideas for how they might deal with those hazards in a future earthquake. The emphasis of our work will be on sustained engagement with groups of engaged citizens to come up with solutions that will work in their communities. The goal throughout will be to take a community-centred approach to understanding the choices that people make to protect themselves from earthquakes.The project will lead to (1) new knowledge of landslide hazard in the region; (2) better understanding of the factors that help communities to engage with DRR issues; and (3) strategies for local earthquake resilience that complement and extend the National Five-Year Plans for Comprehensive Disaster Reduction. By increasing resilience at the community level to the damaging earthquakes that will surely occur across this region in future, the project will make a direct contribution to sustainable growth and economic welfare. The research and training that we propose will increase local capacity to assess and plan for the effects of future earthquakes. Finally, China has engaged in constructive cooperation in south-south exchanges of knowledge in DRR, e.g. through the CBDM Asia project. We are keen to contribute to these exchanges and wider economic development of the region by sharing the outcomes of this research with partners in other earthquake-prone countries across Asia.
地震是对中国人民生命、生计和经济发展的重大威胁。自1900年以来,全世界有200万至250万人死于地震,其中至少有65万人发生在中国。中国地震是自1900年以来死亡人数最高的十次地震中的三次,估计造成的损失为6780亿美元(2012年美元)。仅2008年汶川大地震就造成了超过人民币8,400亿元的直接经济损失,尽管四川省的农村地区大部分受到影响,省会成都仅受到轻微破坏。中国未来的地震可能会造成灾难性的损失,因此,中国的减灾工作至关重要。当地社区在减灾准备和规划中发挥着关键作用。在大地震刚发生后,社区往往与外界资源和援助隔绝,必须依靠自己的计划和能力。在中国西北部等偏远或山区的社区尤其如此。虽然中国的减灾规划传统上遵循非常集中的方法,但人们越来越认识到以社区为基础的减灾工作的重要性。最值得注意的是,民政部已开始实施一项重大方案,建立一个由数千个达到地方规模备灾最低要求的“示范社区”组成的网络。拟议的研究专门旨在支持和加强莫卡计划。我们的工作将确保它利用广泛的科学知识的危险,包括次生地震灾害,如滑坡。我们的工作还将探讨社区参与CBDRR意愿的因素,以便莫卡项目能够最好地反映面临该灾害的社区的广泛多样性。我们将首先研究中国实现CBDRR的方式,以及这些方式与其他地震多发国家的方式的比较。与此同时,我们将编制中国西北部(包括甘肃、陕西和宁夏三省)滑坡的新清单,并将产生关于过去滑坡规模和影响的新知识,作为未来地震中滑坡灾害的指南。最后,我们将与两个特定的社区合作,了解他们的优先事项和他们对所面临的危险的认识,并提出他们如何在未来地震中应对这些危险的想法。我们工作的重点将是与积极参与的公民团体持续接触,以提出在其社区有效的解决方案。整个项目的目标是采取以社区为中心的方法,了解人们为保护自己免受地震影响而做出的选择。该项目将导致:(1)对该地区滑坡灾害的新认识;(2)更好地了解有助于社区参与减灾问题的因素;(3)补充和扩展国家综合减灾五年计划的地方地震恢复战略。通过提高社区一级对该地区未来肯定会发生的破坏性地震的复原力,该项目将为可持续增长和经济福利做出直接贡献。我们提议的研究和培训将提高地方评估和规划未来地震影响的能力。最后,中国在减少灾害风险的南南知识交流方面开展了建设性合作,例如通过CBDM亚洲项目。我们渴望通过与亚洲其他地震多发国家的合作伙伴分享这项研究的成果,为这些交流和更广泛的区域经济发展做出贡献。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping
- DOI:10.5194/nhess-22-481-2022
- 发表时间:2022-02
- 期刊:
- 影响因子:4.6
- 作者:D. Milledge;D. Bellugi;Jack Watt;A. Densmore
- 通讯作者:D. Milledge;D. Bellugi;Jack Watt;A. Densmore
Creating an earthquake scenario in China: A case study in Weinan City, Shaanxi province
- DOI:10.1016/j.ijdrr.2019.101305
- 发表时间:2020
- 期刊:
- 影响因子:5
- 作者:J. Rodgers;Guiwu Su;Wenhua Qi;D. Milledge;A. Densmore;C. Davis;P. England;John Young;Yue Cao;A. Chakos;Xiaoli Li;T. Sim;E. So;B. Parsons;Lei Sun;Junlei Yu;Chunlan Guo
- 通讯作者:J. Rodgers;Guiwu Su;Wenhua Qi;D. Milledge;A. Densmore;C. Davis;P. England;John Young;Yue Cao;A. Chakos;Xiaoli Li;T. Sim;E. So;B. Parsons;Lei Sun;Junlei Yu;Chunlan Guo
Simple rules to minimize exposure to coseismic landslide hazard
最大限度减少同震山体滑坡危险的简单规则
- DOI:10.5194/nhess-2018-271
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Milledge D
- 通讯作者:Milledge D
A systematic exploration of satellite radar coherence methods for rapid landslide detection
滑坡快速探测卫星雷达相干方法的系统探索
- DOI:10.5194/nhess-20-3197-2020
- 发表时间:2020
- 期刊:
- 影响因子:4.6
- 作者:Burrows K
- 通讯作者:Burrows K
The transdisciplinary construction of a seismic scenario as a process tool for addressing major gaps in earthquake disaster risk reduction in China
- DOI:10.1016/j.ijdrr.2019.101433
- 发表时间:2020-04
- 期刊:
- 影响因子:5
- 作者:Guiwu Su;P. England;J. Rodgers;E. So;John Young
- 通讯作者:Guiwu Su;P. England;J. Rodgers;E. So;John Young
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Alexander Densmore其他文献
Distribution and characteristics of loess landslides triggered by the 1920 Haiyuan Earthquake, Northwest of China
- DOI:
org/10.1016/j.geomorph.2018.04.012 - 发表时间:
2018 - 期刊:
- 影响因子:
- 作者:
Jianqi Zhuang;Jianbing Peng;Chong Xu;Zhenhong Li;Alexander Densmore;David Milledge;Javed Iqbal;Yifei Cui - 通讯作者:
Yifei Cui
Alexander Densmore的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Alexander Densmore', 18)}}的其他基金
Preparedness and planning for the mountain hazard and risk chain in Nepal
尼泊尔山区灾害和风险链的准备和规划
- 批准号:
NE/T01038X/1 - 财政年份:2021
- 资助金额:
$ 47.54万 - 项目类别:
Research Grant
Earthquakes without frontiers: a partnership for increasing resilience to seismic hazard in the continents
地震无国界:增强大陆抗震能力的伙伴关系
- 批准号:
NE/J01995X/1 - 财政年份:2012
- 资助金额:
$ 47.54万 - 项目类别:
Research Grant
The structure and dynamics of groundwater systems in northwestern India under past, present and future climates
过去、现在和未来气候下印度西北部地下水系统的结构和动态
- 批准号:
NE/I022434/1 - 财政年份:2012
- 资助金额:
$ 47.54万 - 项目类别:
Research Grant
Building rural resilience in seismically active regions
在地震活跃地区建设农村抵御能力
- 批准号:
NE/I017941/1 - 财政年份:2010
- 资助金额:
$ 47.54万 - 项目类别:
Research Grant
Rapid assessment of sediment dynamics on an active debris-flow fan
主动泥石流扇上泥沙动力学的快速评估
- 批准号:
NE/G009104/1 - 财政年份:2009
- 资助金额:
$ 47.54万 - 项目类别:
Research Grant
Surface rupture in the 12 May 2008 Sichuan earthquake
2008 年 5 月 12 日四川地震中的地表破裂
- 批准号:
NE/G002665/1 - 财政年份:2008
- 资助金额:
$ 47.54万 - 项目类别:
Research Grant
相似国自然基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国青年学者研究基金项目
Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国学者研究基金项目
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
- 批准号:W2433169
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国学者研究基金项目
含Re、Ru先进镍基单晶高温合金中TCP相成核—生长机理的原位动态研究
- 批准号:52301178
- 批准年份:2023
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
NbZrTi基多主元合金中化学不均匀性对辐照行为的影响研究
- 批准号:12305290
- 批准年份:2023
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
眼表菌群影响糖尿病患者干眼发生的人群流行病学研究
- 批准号:82371110
- 批准年份:2023
- 资助金额:49.00 万元
- 项目类别:面上项目
镍基UNS N10003合金辐照位错环演化机制及其对力学性能的影响研究
- 批准号:12375280
- 批准年份:2023
- 资助金额:53.00 万元
- 项目类别:面上项目
CuAgSe基热电材料的结构特性与构效关系研究
- 批准号:22375214
- 批准年份:2023
- 资助金额:50.00 万元
- 项目类别:面上项目
A study on prototype flexible multifunctional graphene foam-based sensing grid (柔性多功能石墨烯泡沫传感网格原型研究)
- 批准号:
- 批准年份:2020
- 资助金额:20 万元
- 项目类别:
基于大数据定量研究城市化对中国季节性流感传播的影响及其机理
- 批准号:82003509
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Deep-learning-based surrogate model for time-history analysis towards development of AI-driven Earthquake Engineering
基于深度学习的时程分析代理模型,以推动人工智能驱动的地震工程的发展
- 批准号:
23K13437 - 财政年份:2023
- 资助金额:
$ 47.54万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Dynamical integration based on performance requirements of earthquake-resistant, seismically isolated and passively controlled buildings
基于抗震、隔震、被动控制建筑性能要求的动力集成
- 批准号:
23K04344 - 财政年份:2023
- 资助金额:
$ 47.54万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Performance-Based Earthquake Engineering 2.0: Machine-Learning and Artificial Intelligence Algorithms for seismic hazard and vulnerability.
基于性能的地震工程 2.0:地震灾害和脆弱性的机器学习和人工智能算法。
- 批准号:
2765246 - 财政年份:2022
- 资助金额:
$ 47.54万 - 项目类别:
Studentship
Image-based post-earthquake recovery estimation using Bayesian Neural Network
使用贝叶斯神经网络进行基于图像的震后恢复估计
- 批准号:
573198-2022 - 财政年份:2022
- 资助金额:
$ 47.54万 - 项目类别:
University Undergraduate Student Research Awards
ERI: A Hybrid Mechanics-Guided Machine Learning-Based Predictive Framework for the Performance of Rocking Foundations During Earthquake Loading
ERI:基于混合力学引导的机器学习预测框架,用于地震加载期间摇摆基础的性能
- 批准号:
2138631 - 财政年份:2022
- 资助金额:
$ 47.54万 - 项目类别:
Standard Grant
Performance-based timber building design - Fire and Earthquake MH consideration
基于性能的木结构建筑设计 - 火灾和地震 MH 考虑
- 批准号:
571863-2021 - 财政年份:2022
- 资助金额:
$ 47.54万 - 项目类别:
Alliance Grants
Image-based post-earthquake recovery estimation using Bayesian Neural Network
使用贝叶斯神经网络进行基于图像的震后恢复估计
- 批准号:
573196-2022 - 财政年份:2022
- 资助金额:
$ 47.54万 - 项目类别:
University Undergraduate Student Research Awards
Performance-Based Design of Tall Mass Timber Buildings Under Earthquake and Fire Loads
地震和火灾荷载下高层木结构建筑的基于性能的设计
- 批准号:
578457-2022 - 财政年份:2022
- 资助金额:
$ 47.54万 - 项目类别:
Alliance Grants
A preview-type structural control based on the earthquake waveform estimation with a seismic observation network: Performance enhancement of the waveform estimation system
基于地震观测网地震波形估计的预览型结构控制:波形估计系统的性能增强
- 批准号:
22K03995 - 财政年份:2022
- 资助金额:
$ 47.54万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
PFI-TT: Self-Centering Seismic Dampers for Resilience-Based Earthquake Design of Buildings
PFI-TT:用于基于弹性的建筑物地震设计的自定心抗震阻尼器
- 批准号:
2141073 - 财政年份:2022
- 资助金额:
$ 47.54万 - 项目类别:
Standard Grant