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构造最活跃的边界之一延伸。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和数十万人死亡，可悲的是，许多人可以通过更好地了解地震风险来预防。地震风险随着时间的推移而增加，并因人口快速增长和城市化而加剧。最大的风险之一来自不合标准的脆弱结构，这在死亡人数中占很大比例，并构成西苏门答腊城市和郊区现有建筑的大部分。特别是在巴塘市，这些不合标准的建筑非常脆弱，在2009年西苏门答腊地震中发生了灾难性的倒塌。虽然印尼政府在实现联合国仙台减少灾害风险框架中设定的目标方面取得了一些进展，但西苏门答腊（印尼最不发达地区之一）脆弱结构的风险仍然很高。因此，迫切需要更好的备灾、可靠的脆弱性评估和适当的地震风险管理战略，以减少未来地震的潜在损失，近年来，有人提议利用信息和通信技术来提高数据质量和地震风险计算的准确性。从深度学习方法获得的建筑物图像（即建筑物类别，地理标记位置）的现场数据可用于计算建筑物的经验脆弱性，但只有在使用真实的数据进行校准并集成到地震风险评估框架中时，这些信息才有用。社交媒体也可以提供大量的目击者数据（例如视频和图像），但将这些数据转化为对应急响应人员，搜索和救援人员以及结构工程师有用的信息仍然是一项挑战，需要使用大数据和人工智能。该项目的目的是开发一种创新的，利用信息和通信技术生态系统建立快速有效的多灾害地震风险评估框架，以加强西苏门答腊的备灾工作，并以巴塘市为试点案例研究。该框架首次考虑了地震、海啸、滑坡和液化的影响。该方法随后将纳入创新管理系统KERIS。新的框架和KERIS系统预计将支持西苏门答腊地区灾害管理局协调西苏门答腊的减灾工作和政策。该合作汇集了英国领先的机构，（沃里克大学）和印度尼西亚（邦格哈达大学，万隆技术学院，和BPBD）在结构工程和信息通信技术领域的专业知识。该合作项目有以下目标：1）开发一个快速有效的（关于数据管理和计算）多种灾害风险评估方法，包括利用巴塘作为试点案例研究的信通技术生态系统数据。提出创新的地震风险缓解和减灾管理战略，包括一个移动的应用程序，并将新框架整合到一个新的知识管理系统（KERIS）中。拟议研究的成果将为西苏门答腊的利益攸关方提供创新和有效的减灾工具，预计将减少与地震有关的损失，促进该区域的可持续发展。