SBIR Phase II: Development of Integrated Climate Adaptation and Resiliency

SBIR 第二阶段：综合气候适应和恢复能力的发展

• 批准号: 2126742
• 负责人: Ronni Wilcock
• 金额: $ 96.91万
• 依托单位: TWO BEARS ENVIRONMENTAL CONSULTING, LLC
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-15 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2126742&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Development; Integrated

The broader impact of this Small Business Innovation Research (SBIR) Phase II project is to improve the ability to build resilient infrastructure and advance the health, welfare, and cultural sustainability of rural Alaska communities in the face of a changing climate. Currently, climate change is a threat multiplier that exacerbates social inequity by disproportionally impacting remote Native Alaskan communities. There are significant gaps in available, actionable data for these communities to improve their livability and climate resilience. Without intervention, the deteriorating conditions in the villages may cause permanent damage to their traditional way of life and, in extreme cases, whole villages could be lost. This project combines geometrics, future climates, and geodesign in a data repository used to identify current and potential hazard susceptibility. Communities can use this data to identify climate risks, develop, evaluate, and compare management actions, and increase the resilience and sustainability of their villages based on how they use their natural resources and their short-, mid-, and long-term goals. The project seeks to help communities to help themselves by providing reliable, science-based, actionable data that incorporates Traditional Knowledge and empowers informed decisions.The research and development activities include: (1) baseline data collection and data gap identification using remote sensing, light detection and ranging (LiDAR), photogrammetry, and in-situ data collection for five test communities, (2) future climate modeling to provide reliable and defensible projected climates, as well as model output that has been processed by bias correction and/or downscaling, and (3) the creation and rigorous training of a machine learning technique to produce hazard susceptibility maps. These maps, which show the spatial likelihood of a hazard occurrence, are crucial for environmental management, urban planning, and minimizing economic losses. This project provides a prediction method that contributes to hazard forecasting that is currently embedded in traditional modeling methods, potentially avoiding maladaptations. Planning and adaptation for Alaska’s environmental changes are necessary to reduce community vulnerability while providing actionable data for community-guided outcomes, increasing climate resilience. The project seeks to provide the nexus between state-of-the-art climate knowledge, environmentally threatened communities, and decision-makers.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.

小型企业创新研究(SBIR)第二阶段项目的更广泛影响是提高建设有弹性的基础设施的能力，并促进阿拉斯加农村社区在面对不断变化的气候时的健康、福利和文化可持续性。目前，气候变化是一种威胁倍增，它不成比例地影响到偏远的阿拉斯加原住民社区，加剧了社会不平等。这些社区在改善其宜居性和气候适应能力方面，在可用、可操作的数据方面存在重大差距。如果不进行干预，这些村庄日益恶化的条件可能会对其传统生活方式造成永久性损害，在极端情况下，整个村庄可能会失去。该项目将几何学、未来气候和地理设计结合在一个数据存储库中，用于识别当前和潜在的危险易感性。社区可以使用这些数据来识别气候风险，制定、评估和比较管理行动，并根据村庄如何使用自然资源和短期、中期和长期目标来提高村庄的复原力和可持续性。该项目旨在帮助社区通过提供可靠的、基于科学的、可操作的数据来帮助自己，这些数据纳入了传统知识并使明智的决策成为可能。研究和开发活动包括：(1)使用遥感、光探测和测距(LiDAR)、摄影测量和现场数据收集五个测试社区的基线数据收集和数据差距识别；(2)未来气候建模，以提供可靠和可防御的预测气候，以及经过偏差校正和/或缩小尺度处理的模型输出，以及(3)创建和严格培训机器学习技术，以生成危险易感性地图。这些地图显示了灾害发生的空间可能性，对于环境管理、城市规划和最大限度地减少经济损失至关重要。该项目提供了一种有助于危险预测的预测方法，该方法目前嵌入在传统建模方法中，潜在地避免了不适应。有必要对阿拉斯加的环境变化进行规划和适应，以减少社区的脆弱性，同时为社区指导的成果提供可操作的数据，提高气候适应能力。该项目旨在提供最先进的气候知识、受环境威胁的社区和决策者之间的联系。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。