SCC-PG: Connecting communities with real-time data collection and downscaled climate risk models to improve water quality and sustain salt marshes in the Buzzards Bay Watershed

SCC-PG：通过实时数据收集和缩小规模的气候风险模型将社区连接起来，以改善巴泽兹湾流域的水质并维持盐沼

• 批准号: 2125409
• 负责人: Christopher Neill
• 金额: $ 14.9万
• 依托单位: Woodwell Climate Research Center, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125409&HistoricalAwards=false
• 关键词: SCC; PG; Connecting; communities; real

Coastal communities face enormous challenges managing water resources in the face of climate change. Degraded water quality driven by excess nutrients, combined with rising sea levels, increased river flooding, higher temperatures, and greater climate variation will increase nutrient delivery to coastal waters and impair the ability of salt marshes to sustain themselves. Many municipalities share coastal waters, with nutrient loading often originating from watersheds farther inland. Community management of water quality and salt marsh loss are inhibited by two critical factors. First, conditions that lead to the biggest impacts occur infrequently, and climate change will increase this variability. Second, data and information on these events are not well captured by existing monitoring systems, making it difficult for managers to identify appropriate solutions. Emerging technologies have the potential to provide dynamic information on water quality, marshes and climate in ways that can provide more comprehensive information and connect across communities managing water resources. New automated sensors can be deployed across multiple locations to provide time-series and information to better identify impacts and potential solutions. Downscaled climate models can predict climate changes at local scales. However, technologies will only be adopted if the information they produce is both useful and useable as well as trusted and accepted by communities. This project will investigate the potential for continuously-collected water quality information and regional climate models to support management of water quality and salt mashes in the Buzzards Bay Watershed in coastal Massachusetts. Technology developers and stakeholders will co-design data collection strategies to improve local water resources research The project will engage scientists and members of the community who manage, regulate, and advocate for water quality and marshes to determine: (1) What information is needed to better identify impacts to water quality and salt marshes and to guide water and marsh management? (2) What new sensor technologies, field applications, and climate model projections could be combined to produce the knowledge needed? and (3) How can these new technologies be best deployed and managed to create a smart and connected community? Workshops and interactions among scientists and community members will identify the highest-priority and highest-value potential future uses of new sensor technologies and identify the climate risks of greatest interest to the community. The outcomes from the workshops will be used organize future research to pilot the priority technologies and test conceptual models of how the communities use the new technology.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.

面对气候变化，沿海社区在管理水资源方面面临着巨大挑战。养分过剩导致水质恶化，加上海平面上升、河流洪水泛滥、气温升高和气候变化加大，将增加向沿海水域输送养分，并损害盐沼自我维持的能力。许多城市共享沿海水域，营养物负荷通常来自内陆更远的流域。水质和盐沼损失的社区管理受到两个关键因素的抑制。首先，导致最大影响的情况很少发生，而气候变化将增加这种可变性。其次，现有监控系统无法很好地捕获有关这些事件的数据和信息，导致管理人员难以确定适当的解决方案。新兴技术有潜力提供有关水质、沼泽和气候的动态信息，从而提供更全面的信息并连接管理水资源的社区。新的自动化传感器可以部署在多个地点，以提供时间序列和信息，以更好地识别影响和潜在的解决方案。缩小尺度的气候模型可以预测局部尺度的气候变化。然而，只有当技术产生的信息有用且可用并且被社区信任和接受时，技术才会被采用。 该项目将研究持续收集的水质信息和区域气候模型的潜力，以支持马萨诸塞州沿海巴泽兹湾流域的水质和盐浆管理。技术开发人员和利益相关者将共同设计数据收集策略，以改进当地水资源研究 该项目将让管理、监管和倡导水质和沼泽的科学家和社区成员参与进来，以确定：(1) 需要哪些信息更好地确定对水质和盐沼的影响并指导水和沼泽管理？ (2) 哪些新的传感器技术、现场应用和气候模型预测可以结合起来产生所需的知识？ (3) 如何最好地部署和管理这些新技术来创建智能互联社区？科学家和社区成员之间的研讨会和互动将确定新传感器技术未来最高优先级和最高价值的潜在用途，并确定社区最感兴趣的气候风险。研讨会的成果将用于组织未来的研究，以试点优先技术并测试社区如何使用新技术的概念模型。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技术进行评估，被认为值得支持。更广泛的影响审查标准。