Belmont Forum Collaborative Research: Advancing Resilience in Low Income Housing Using Climate-Change Science and Big Data Analytics

贝尔蒙特论坛合作研究：利用气候变化科学和大数据分析提高低收入住房的抵御能力

• 批准号: 2019754
• 负责人: Esther Obonyo
• 金额: $ 30万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-04-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019754&HistoricalAwards=false
• 关键词: Belmont; Forum; Collaborative; Research; Advancing

This award provides support to U.S. researchers participating in a project competitively selected by a 55-country initiative on global change research through the Belmont Forum. The Belmont Forum is a consortium of research funding organizations focused on support for transdisciplinary approaches to global environmental change challenges and opportunities. It aims to accelerate delivery of the international research most urgently needed to remove critical barriers to sustainability by aligning and mobilizing international resources. Each partner country provides funding for their researchers within a consortium to alleviate the need for funds to cross international borders. This approach facilitates effective leveraging of national resources to support excellent research on topics of global relevance best tackled through a multinational approach, recognizing that global challenges need global solutions. This award provides support for the U.S. researchers to cooperate in consortia that consist of partners from at least three of the participating countries to address the growing need for assessment and reduction of disaster risk, collaborative co-design of resilience strategies with a breadth of stakeholders, and scientifically and technologically enhanced responses to disasters. This project seeks to enhance the resilience of low-income communities living in disaster prone areas. The focus is on low-lying coastal zones that have high risks of droughts and floods in selected parts of Brazil, East Africa and North America. It develops the geographic and socio-economic knowledge of persons living in economically depressed and riverbed areas by gathering georeferenced data on infrastructures and natural heritage of potential sites. The project team will use machine learning and big data analytical approaches to identify optimal disaster resilient-housing urban design and planning packages considering projected climate change related extreme weather scenarios until 2050. The project will investigate potential barriers to technology adoption through designing and prototyping an affordable, disaster-resilient, low-income housing system that use sustainable locally resourced materials.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项为参与由 55 个国家的全球变化研究倡议通过贝尔蒙特论坛竞争性选出的项目的美国研究人员提供支持。 贝尔蒙特论坛是一个由研究资助组织组成的联盟，致力于支持跨学科方法应对全球环境变化的挑战和机遇。 它旨在通过调整和调动国际资源，加速交付最迫切需要的国际研究，以消除可持续发展的关键障碍。每个伙伴国家都在一个联盟内为其研究人员提供资金，以减轻跨境资金的需求。这种方法有助于有效利用国家资源，支持最好通过多国方法解决的全球相关主题的优秀研究，认识到全球挑战需要全球解决方案。该奖项为美国研究人员在由至少三个参与国的合作伙伴组成的联盟中进行合作提供支持，以满足评估和减少灾害风险、与广泛的利益相关者合作共同设计抗灾战略的日益增长的需求，并通过科学技术加强灾害应对。 该项目旨在增强生活在灾害易发地区的低收入社区的抵御能力。重点是巴西、东非和北美部分地区干旱和洪水风险较高的低洼沿海地区。它通过收集潜在地点的基础设施和自然遗产的地理参考数据，发展生活在经济萧条和河床地区的人们的地理和社会经济知识。项目团队将利用机器学习和大数据分析方法，考虑到 2050 年预计的气候变化相关极端天气情景，确定最佳的抗灾住房城市设计和规划方案。该项目将通过设计和原型设计一个负担得起的房屋来调查技术采用的潜在障碍。 、抗灾、低收入住房系统，使用可持续的当地资源材料。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Enhancing the resilience of low-income housing using emerging digital technologies

利用新兴数字技术增强低收入住房的弹性

• DOI: 10.1088/1755-1315/1101/9/092013
• 发表时间: 2022-11
• 期刊: IOP Conference Series: Earth and Environmental Science
• 作者: Obonyo, E A;Ouma, L A
• 通讯作者: Ouma, L A

Fiber Reinforced Compressed Earth Blocks: Evaluating Flexural Strength Characteristics Using Short Flexural Beams

纤维增强压缩土块：使用短弯曲梁评估弯曲强度特性

• DOI: 10.3390/ma14226906
• 发表时间: 2021-11-16
• 期刊: Materials
• 影响因子: 3.4
• 作者: Donkor P;Obonyo E;Ferraro C
• 通讯作者: Ferraro C