RII Track-1 Lake Champlain Basin Resilience to Extreme Events

RII Track-1 尚普兰湖盆地对极端事件的恢复能力

• 批准号: 1556770
• 负责人: Arne Bomblies
• 金额: $ 2000万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1556770&HistoricalAwards=false
• 关键词: RII; Track; Lake; Champlain; Basin

Non-technical DescriptionLake Champlain and its surrounding watershed are important to Vermont for tourism, agriculture, natural resources and drinking water. This region has recently suffered severe economic and environmental damage due to flooding, snowstorms, and other extreme weather events. In addition, storm runoff has impeded ongoing efforts to improve lake and drinking-water quality. Seven academic institutions within Vermont will leverage existing and new investments in technology, computational resources and human resources toward developing predictive and decision-making tools for improving drinking-water quality and protecting natural and human infrastructure in the face of increasing extreme weather events. Physical, biological and social scientists and engineers will collaborate in interdisciplinary teams to understand and model the Lake Champlain basin as a complex hydro-ecological-social system. Highly sophisticated physical and social models will be employed to better understand interactions between the natural and human components of Lake Champlain and the surrounding watershed. Team members will develop and provide hands-on educational opportunities and STEM training for middle-school, high-school, and undergraduate students and support research training for undergraduate, and graduate students and post-doctoral researchers. Early career professional development will target graduate students, post-doctoral researchers and early career faculty to further improve the STEM workforce within Vermont.Technical Description Research teams will apply a systems-based, highly integrated approach to determine when and where impacts of extreme events cascade through the combined social-ecological system. Extensive water- and soil-sensor networks will provide data to develop and validate physical models of the watershed. Surveys, workshops and interviews of stakeholders and governmental agents will be used to provide data for the social-science models. The social-science models will employ Deep Knowledge Neural Networks with dynamic algorithms to incorporate land-owner, land-user and policy-maker opinions and responses. An integrated model of the watershed will be used to test management scenarios and identify strategies for maintaining infrastructure, environmental health and drinking water quality in the face of extreme weather events.

尚普兰湖及其周边流域对佛蒙特州的旅游业、农业、自然资源和饮用水都很重要。该地区最近因洪水、暴风雪和其他极端天气事件遭受了严重的经济和环境破坏。此外，暴雨径流阻碍了目前改善湖泊和饮用水质量的努力。佛蒙特州的七个学术机构将利用现有的和新的技术，计算资源和人力资源投资，开发预测和决策工具，以改善饮用水质量，并在极端天气事件增加的情况下保护自然和人类基础设施。物理，生物和社会科学家和工程师将在跨学科团队合作，以了解和模拟尚普兰湖流域作为一个复杂的水文生态社会系统。将采用高度复杂的物理和社会模型，以更好地了解尚普兰湖和周围流域的自然和人类成分之间的相互作用。团队成员将为初中，高中和本科生开发和提供实践教育机会和STEM培训，并支持本科生，研究生和博士后研究人员的研究培训。早期职业发展将针对研究生，博士后研究人员和早期职业教师，以进一步提高佛蒙特州的STEM劳动力。技术描述研究团队将采用基于系统的，高度集成的方法来确定极端事件的影响何时何地通过社会生态系统级联。广泛的水和土壤传感器网络将提供数据，以开发和验证流域的物理模型。将利用对利益攸关方和政府机构的调查、讲习班和访谈，为社会科学模型提供数据。社会科学模型将采用具有动态算法的深度知识神经网络，以纳入土地所有者，土地使用者和政策制定者的意见和反应。流域综合模型将用于测试管理方案，并确定在极端天气事件面前维护基础设施、环境健康和饮用水质量的战略。

项目成果

Coupling of reactive riverine phosphorus and iron species during hot transport moments: impacts of land cover and seasonality

热运输时刻河流活性磷和铁物质的耦合：土地覆盖和季节性的影响

• DOI: 10.1007/s10533-016-0290-9
• 发表时间: 2017
• 期刊: Biogeochemistry
• 影响因子: 4
• 作者: Rosenberg, Braden D.;Schroth, Andrew W.
• 通讯作者: Schroth, Andrew W.