Enhancing Indonesia's Disaster Preparedness Through an Innovative Multi-Risk Management Framework with ICT ecosystems

通过创新的多风险管理框架和 ICT 生态系统加强印度尼西亚的备灾能力

• 批准号: EP/Y003284/1
• 负责人: Reyes Garcia
• 金额: $ 18.75万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY003284%2F1
• 关键词: Enhancing; Indonesia; Disaster; Preparedness; Through

Indonesia stretches along one of the most tectonically active boundaries in the world. Since 1970, earthquakes in Indonesia have led to over US$20 billion in economic losses and to hundreds of thousands of fatalities, sadly, many preventable with a better understanding of earthquake risk. Seismic risk increases over time and is exacerbated by rapid population growth and urbanisation. One of the greatest risks arises from substandard vulnerable structures, which account for a large proportion of fatalities and comprise most of existing building stock in urban and suburban regions of West Sumatra. Particularly in Padang city, such substandard structures are highly vulnerable and experienced catastrophic collapses during the 2009 West Sumatra earthquake. Whilst the Indonesian government has made some progress towards meeting the objectives set in the UN' Sendai Framework for Disaster Risk Reduction, the risk of vulnerable structures in West Sumatra (one of the least developed areas in Indonesia) remains very high. As a result, there is an urgent need for better disaster preparedness, reliable vulnerability assessments and appropriate seismic risk management strategies to reduce potential losses in future earthquakes.In recent years, Information and Communications Technologies (ICTs) have been proposed to enhance the quality of data and accuracy of seismic risk calculations. Field data from building images (i.e. building categories, geo-tag location) obtained from deep learning approaches can be used to calculate the empirical vulnerability of buildings, but such information is only useful if it is calibrated with real data and integrated into earthquake risk assessment frameworks. Social media can also provide large amounts of eyewitness data (e.g. video and images) about an earthquake but harnessing this data into useful information for emergency responders, search and rescue workers, and structural engineers is still a challenge and requires the use of big data and artificial intelligence.The aim of this project is to develop an innovative, rapid and efficient framework for multi-hazard seismic risk assessment with ICT ecosystems to enhance West Sumatra's disaster preparedness, using Padang city as a pilot case study. For the first time, the developed framework will consider the effect of earthquakes, tsunami, landslides and liquefaction. The methodology will be subsequently integrated into the innovative management system KERIS. The new framework and KERIS system are expected to support West Sumatra's Regional Disaster Management Agency (BPBD) in coordinating Disaster Risk Reduction efforts and policies in West Sumatra. The collaboration brings together leading institutions of the UK (University of Warwick) and Indonesia (Unversitas Bung Hatta, Institut Teknologi Bandung, and BPBD) with expertise in the fields of structural engineering and ICT.This collaborative project has the following Objectives.1) Develop a rapid and efficient (on data management and computation) multi-hazard risk assessment methodology including data from ICT ecosystems using Padang as a pilot case study.2) Propose innovative seismic risk mitigation and DRR management strategies, including a mobile app and the integration of the new framework into a new knowledge-management system (KERIS).3) To organise workshops, seminars, networking events and visits between staff in the three universities so as to establish new long-term collaborations between them. The outcomes of the proposed research will give stakeholders in West Sumatra innovative and efficient tools for disaster mitigation, which is expected to reduce earthquake-related losses and promote sustainable development in the region.

印度尼西亚沿着世界上最激进的边界之一延伸。自1970年以来，印度尼西亚的地震已导致超过200亿美元的经济损失，可悲的是，可悲的是，许多人可以预防地震，以更好地了解地震风险。随着时间的流逝，地震风险会增加，并因人口迅速增长和城市化而加剧。最大的风险之一是不合标准的脆弱结构，该结构占死亡人数的很大比例，并构成了西苏门答腊城市和郊区的大部分现有建筑库存。特别是在帕登市，这种不合格的结构在2009年西苏门答腊地震期间非常脆弱，经历了灾难性的崩溃。印度尼西亚政府在实现联合国仙台危害风险降低灾害框架中设定的目标方面取得了一些进展，但西苏门答腊（印度尼西亚最不发达地区之一）在脆弱建筑物中的风险仍然很高。结果，迫切需要更好地准备灾难，可靠的脆弱性评估以及适当的地震风险管理策略，以减少未来地震中的潜在损失。近年来，已提出了信息和通信技术（ICT），以提高地震风险计算的数据质量和准确性。从深度学习方法获得的构建图像（即建筑物类别，地形标签位置）的现场数据可用于计算建筑物的经验脆弱性，但是当使用真实数据校准并将其集成到地震风险评估框架中时，此类信息才有用。社交媒体还可以提供有关地震的大量目击者数据（例如视频和图像），但将这些数据纳入有用的信息中，为紧急响应者，搜索和救援人员和结构工程师仍然是一个挑战，并且需要大量数据和人工智能的使用。准备灾难，以帕登市为试点案例研究。开发的框架将首次考虑地震，海啸，滑坡和液化的影响。该方法随后将集成到创新的管理系统Keris中。预计新的框架和KERIS系统将支持西苏门答腊的区域灾难管理机构（BPBD）协调降低灾害风险的工作和西苏门答腊政策。这项合作将英国（沃里克大学）和印度尼西亚（Unversitas Bung Hatta，Teknologi Bandung和BPBD）汇集了领先的机构，并在结构工程和ICT领域具有专业知识，并在ICT领域进行专业知识。此协作项目具有以下目标。 2）提出创新的地震风险降低风险和DRR管理策略，包括移动应用程序以及将新框架集成到新的知识管理系统（KERIS）.3）中，以组织三所大学的工作室，与他们建立新的长期协作的员工之间的研讨会，研讨会，网络，网络活动和访问。拟议研究的结果将使西苏门答腊的利益相关者用于减轻灾难的创新和有效的工具，这有望减少与地震相关的损失并促进该地区的可持续发展。