RII Track 1: Water Security in Delaware's Changing Coastal Environment

RII 轨道 1：特拉华州不断变化的沿海环境中的水安全

• 批准号: 1757353
• 负责人: Kent Messer
• 金额: $ 1920万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1757353&HistoricalAwards=false
• 关键词: RII; Track; Water; Security; Delaware

Non-technical DescriptionMany coastal regions of the world have entered a critical period when multiple threats endanger water security, defined as the capacity of a society to safeguard adequate, sustainable quantities of high-quality water. In Delaware, threats to water security relate primarily to water quality rather than quantity, and arise largely due to human behavior, whether from agriculture run-off, household wastes, increased salinity due to the influx of seawater, or degradation of ecological systems from an expanding human footprint. This project aims to understand the major threats to Delaware's water quality and develop technical and policy solutions for meeting the challenges imposed by them. The project's partner institutions - the University of Delaware, Delaware State University, Delaware Technical Community College, and Wesley College - propose a jurisdictional network of people, institutions, data, and technologies directed at enhancing water security for human, economic, and ecosystem health. The project's educational and training mission will develop a diverse workforce capable of addressing water security challenges in Delaware and around the world.Technical DescriptionThis project integrates engineering, natural sciences, and social sciences to predict the often-coupled behavior of water resources and people. Transformative strategies to be used include the application of advanced data analytics, the development and deployment of new sensor technologies, and the use of new techniques and models. The threat assessment research thrust will increase scientific knowledge of salinization mechanisms, salinity effects on nutrient mobility, modes of transport of nutrients across coastal watersheds, and the resulting biogeochemical impacts and ecological stresses. The solution development thrust will obtain behavioral and policy insights needed for the development of effective and socially acceptable solutions. The social dimensions thrust's outputs will include early warning systems, decision-support tools, engagement of stakeholders and partners, and information for the development of evidence-based policies and programs. The project will also establish a crosscutting enabling cores thrust to interact with the other three thrusts by developing inexpensive water quality sensors, microbiome analysis methods, and novel data services and analytics. Education, outreach, workforce development, and diversity programs, along with strong statewide partnerships, are the foundation of all other project activities.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.

世界许多沿海地区已进入一个多重威胁危及水安全的关键时期，水安全被定义为社会保障充足、可持续的高质量水的能力。在特拉华州，对水安全的威胁主要与水质而不是数量有关，主要是由于人类行为造成的，无论是农业径流、家庭废物、海水涌入造成的盐度增加，还是人类足迹扩大造成的生态系统退化。 该项目旨在了解对特拉华州水质的主要威胁，并制定技术和政策解决方案，以应对这些挑战。该项目的伙伴机构--特拉华州大学、特拉华州州立大学、特拉华州技术社区学院和韦斯利学院--提出了一个由人员、机构、数据和技术组成的管辖网络，旨在加强人类、经济和生态系统健康的水安全。该项目的教育和培训使命将培养一支多元化的劳动力队伍，能够应对特拉华州和世界各地的水安全挑战。技术说明该项目整合了工程、自然科学和社会科学，以预测水资源和人类的经常耦合行为。将使用的变革战略包括应用先进的数据分析，开发和部署新的传感器技术，以及使用新的技术和模型。威胁评估研究的重点将增加对盐渍化机制、盐度对养分流动性的影响、养分在沿海流域的运输方式以及由此产生的生物地球化学影响和生态压力的科学认识。解决方案开发的推力将获得发展有效和社会可接受的解决方案所需的行为和政策见解。社会层面的主要成果将包括预警系统、决策支持工具、利益攸关方和合作伙伴的参与以及制定循证政策和方案的信息。该项目还将通过开发廉价的水质传感器、微生物组分析方法以及新颖的数据服务和分析，建立一个横切面，使核心推力与其他三个推力相互作用。教育、外展、劳动力发展和多样性计划，沿着全州范围内强大的合作伙伴关系，是所有其他项目活动的基础。该奖项反映了NSF的法定使命，并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，被认为值得支持。

项目成果

Understanding the dynamic response of Durafet-based sensors: A case study from the Murderkill Estuary-Delaware Bay system (Delaware, USA)

了解基于 Durafet 的传感器的动态响应：Murderkill Estuary-Delaware Bay 系统（美国特拉华州）的案例研究

• DOI: 10.1016/j.ecss.2023.108247
• 发表时间: 2023
• 期刊: Coastal and Shelf Science
• 作者: Gonski, S. Fisher;Ullman, William J.;Pettay, D. Tye;Booksh, Karl S.;Martz, Todd R.;Luther, George W.;Cai, Wei-Jun
• 通讯作者: Cai, Wei-Jun

Envelopes for censored quantile regression

• DOI: 10.1111/sjos.12602
• 发表时间: 2022-05
• 期刊: Scandinavian Journal of Statistics
• 影响因子: 1
• 作者: Yue Zhao;I. Van Keilegom;Shanshan Ding

Sea-level-rise-induced flooding drives arsenic release from coastal sediments

海平面上升引起的洪水导致沿海沉积物中砷的释放

• DOI: 10.1016/j.jhazmat.2021.127161
• 发表时间: 2022
• 期刊: Journal of Hazardous Materials
• 影响因子: 13.6
• 作者: Izaditame, Fatemeh;Siebecker, Matthew G.;Sparks, Donald L.
• 通讯作者: Sparks, Donald L.

Understanding the factors related to the opioid epidemic using machine learning

使用机器学习了解与阿片类药物流行相关的因素

• DOI: 10.1109/bibm52615.2021.9669486
• 发表时间: 2021
• 期刊: IEEE International Conference on Bioinformatics and Biomedicine
• 作者: Gavali, Sachin;Chen, Chuming;Cowart, Julie;Peng, Xi;Ding, Shanshan;Wu, Cathy;Anderson, Tammy
• 通讯作者: Anderson, Tammy

Motorists' willingness to drive through flooded roads: Evidence from a stated preference experiment

驾车者开车穿过被洪水淹没的道路的意愿：来自陈述偏好实验的证据

• DOI: 10.1111/jfr3.12753
• 发表时间: 2021
• 期刊: Journal of Flood Risk Management
• 影响因子: 4.1
• 作者: Ahsanuzzaman;Messer, Kent D.
• 通讯作者: Messer, Kent D.