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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: 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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2023-03-31

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中文摘要
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英文摘要
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.
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会议论文
SCC-IRG Track 1: Connecting coastal communities with continuous, sensor-based monitoring of water quality
Collaborative Research: MSB-FRA: Alternative Ecological Futures for the American Residential Macrosystem
Collaborative Research: Disrupted Nitrogen Cycles in the Brazilian Amazon
Collaborative Research: The Sustainability of Riparian Forests in Expanding Amazonian Agricultural Landscapes
国内基金
海外基金
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Drp1/mtROS 调控内皮细胞焦亡在 Pg 感染促进动脉粥样硬化中的临床与基础研究
  • 批准号:
    ZCLZ26H1401
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    邓辉
  • 依托单位:
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基于IFN-γ介导CXCL9+TAMs/CD8+T细胞通讯探究升陷汤干预Pg异位阻延肺结癌转化的分子机制