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

面对气候变化，沿海社区在管理水资源方面面临巨大挑战。营养过剩导致的水质恶化，加上海平面上升、河流泛滥、气温升高和气候变化加剧，将增加营养物质向沿海沃茨的输送，削弱盐沼自我维持的能力。许多城市共享沿海沃茨，营养物负荷往往来自内陆流域。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，导致最大影响的条件很少出现，气候变化将增加这种可变性。第二，现有监测系统没有很好地收集关于这些事件的数据和信息，使管理人员难以确定适当的解决办法。新兴技术有潜力提供关于水质、沼泽和气候的动态信息，其方式可以提供更全面的信息，并将管理水资源的各个社区联系起来。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，从而更好地识别影响和潜在的解决方案。缩小尺度的气候模式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既有用又可用，并为社区所信任和接受时，技术才会被采用。 本项目将调查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布扎德湾流域的水质和盐泥管理。技术开发人员和利益相关者将共同设计数据收集策略，以改善当地水资源研究该项目将吸引科学家和社区成员谁管理，调节和倡导水质和沼泽地，以确定：（1）需要什么信息，以更好地确定对水质和盐沼的影响，并指导水和沼泽地管理？(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？以及（3）如何最好地部署和管理这些新技术，以创建智能和互联的社区？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的最高优先级和最高价值的潜在未来用途，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，以试点优先技术和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，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估。

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.