Building REsilience to Multi-source Flooding in South/Southeast Asia through a Technology-informed Community-based approacH (REMATCH)

通过基于技术的社区方法 (REMATCH) 增强南亚/东南亚的多源洪水抵御能力

• 批准号: NE/P015476/1
• 负责人: Qiuhua Liang
• 金额: $ 21.33万
• 依托单位: Newcastle University
• 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: https://gtr.ukri.org/projects?ref=NE%2FP015476%2F1
• 关键词: Building; REsilience; Multi; source; Flooding

Due to the prevailing monsoon, abundant river systems and long coastlines, floods, as a result of multiple drivers (commonly including heavy rainfall, typhoons and tropical storms) repeatedly affect millions of people in many Southeast/South Asian countries each year. There is an urgent need to develop and implement effective risk communication and management strategies to prepare the local communities for future floods, i.e. improve awareness, reduce vulnerability, mitigate impacts, and save life, and eventually develop resilience. Through actively involving community members throughout the decision-making and implementation processes, community-based disaster risk management (CBDRM) provides a cost-effective bottom-up means to improve the awareness of communities about risks, provide them with access to collective resources and knowledge, and develop community-based preparedness and adaption/mitigation programmes. CBDRM has been implemented in Southeast/South Asian countries to reduce the impacts of flooding and develop community resilience. However, existing CBDRM projects have rarely taken advantage of the latest remote sensing products, high-performance computing for flood prediction and citizen science/crowd sourcing technologies, which have experienced substantial advancement particularly in the last decade. Collectively, these provide the potential to significantly advance the current CBDRM practice.The overarching aim of REMATCH is to take on the exciting and timely opportunity from recent scientific and technological advances and develop an innovative and effective community-based flood risk management strategy to create a step change in building community resilience to flooding from multiple sources. Specifically in this foundation-building project we will 1) assemble an inter-disciplinary research team and establish an extensive researcher-stakeholder partnership to develop effective approaches to co-produce/share knowledge, communicate and manage risk, and enhance community resilience to flooding; 2) apply a multi-hazard risk analysis framework to quantify flood risk and understand the key drivers of flood hazards; 3) investigate and understand the historical and cultural implications for contemporary resilience building and impacts on socio-economic development; 4) adopt a citizen science approach to scope a pilot community-based flood forecasting and warning system based on crowd-sourced and remote-sensing data streams and real-time flood modelling technology; and 5) identify the major challenges in developing community resilience and develop a preliminary approach to measuring community flood resilience. These research objectives will be achieved through a carefully designed research programme, and implemented and tested in a case study site in Vietnam. During the project, we will also evaluate the feasibility for implementation in Bangladesh and other Southeast/South Asian countries for the full GCRF proposal.

由于季风盛行，河流系统丰富，海岸线长，洪水，由于多种驱动因素（通常包括暴雨，台风和热带风暴），每年反复影响许多东南亚/南亚国家的数百万人。迫切需要制定和实施有效的风险沟通和管理战略，使地方社区为未来的洪水做好准备，即提高认识，降低脆弱性，减轻影响，拯救生命，并最终发展复原力。通过让社区成员积极参与整个决策和执行过程，基于社区的灾害风险管理提供了一种具有成本效益的自下而上的手段，以提高社区对风险的认识，为他们提供获得集体资源和知识的机会，并制定基于社区的备灾和适应/减灾方案。CBDRM已在东南亚/南亚国家实施，以减少洪水的影响并发展社区复原力。然而，现有的CBDRM项目很少利用最新的遥感产品，洪水预测的高性能计算和公民科学/众包技术，这些技术在过去十年中取得了长足的进步。REMATCH的总体目标是从最近的科学和技术进步中抓住令人兴奋和及时的机会，制定一个创新和有效的基于社区的洪水风险管理战略，以建立社区对多种来源洪水的恢复能力。具体来说，在这个基础建设项目中，我们将1）组建一个跨学科的研究团队，并建立广泛的研究人员与利益相关者的伙伴关系，以制定有效的方法来共同产生/分享知识，沟通和管理风险，并提高社区对洪水的抵御能力; 2）应用多灾害风险分析框架来量化洪水风险，并了解洪水灾害的主要驱动因素;（3）调查和了解历史和文化对当代抗灾能力建设的影响以及对社会经济发展的影响;（4）采用公民科学方法，以群众来源和遥感数据流以及实时洪水建模技术为基础，确定以社区为基础的洪水预报和预警试点系统的范围;以及5）确定发展社区抗灾能力的主要挑战，并制定衡量社区洪灾抗灾能力的初步方法。这些研究目标将通过精心设计的研究计划来实现，并在越南的一个案例研究地点进行实施和测试。在项目期间，我们还将评估在孟加拉国和其他东南亚/南亚国家实施完整GCRF提案的可行性。

项目成果

An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations

• DOI: 10.1002/2016wr020055
• 发表时间: 2017-05
• 期刊: Water Resources Research
• 影响因子: 5.4
• 作者: X. Xia;Q. Liang;X. Ming;J. Hou

RADAR REMOTE SENSING APPLICATIONS IN LANDSLIDE MONITORING WITH MULTI-PLATFORM INSAR OBSERVATIONS: A CASE STUDY FROM CHINA

• DOI: 10.5194/isprs-archives-xlii-2-w13-1939-2019
• 发表时间: 2019-06
• 期刊: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• 作者: T. Qu;Qiang Xu;Chongxing Liu;Zhenhong Li;B. Chen;K. Dai

Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework

进入基于地球观测的滑坡预警系统时代：一个新颖且令人兴奋的框架

• DOI: 10.1109/mgrs.2019.2954395
• 发表时间: 2020-03-01
• 期刊: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
• 影响因子: 14.6
• 作者: Dai, Keren;Li, Zhenhong;Liu, Jingnan
• 通讯作者: Liu, Jingnan