CAREER: Expanding Our Understanding of Freshwater Salinization Through Data-Driven Limnology

职业：通过数据驱动的湖沼学扩大我们对淡水盐碱化的理解

基本信息

批准号：
2144750
负责人：
Hilary Dugan
金额：
$ 90.26万
依托单位：
University of Wisconsin-Madison
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-01 至 2027-07-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2144750&HistoricalAwards=false
关键词：
CAREER Expanding Our Understanding Freshwater

项目摘要

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Freshwater is a critical resource needed for drinking water, agriculture, and industrial use. In some regions of the United States, freshwater resources are threatened by increasing salt levels. The use of water softeners, spreading salt on roads in winter, and some agricultural activities add salts to lakes, rivers, and groundwater. This project will study where the salt is coming from, how it moves through rivers and lakes, and what impacts it has on freshwater habitats in Wisconsin. The overarching goal of the project is to protect our freshwater resources from further salt pollution through improved scientific understanding, education, and public engagement. Researchers will work with community-based organizations whose missions are to protect water quality and promote awareness of salt impacts through community activities and social media. Resources for teaching and analyzing data will be made publicly available to encourage greater awareness and further study of salt impacts on freshwater resources. The research themes of this project focus on understanding salt cycling in freshwater environments at a range of spatial scales. At the local scale, this project will establish a long-term salt observatory in the Yahara Watershed, Wisconsin. There, scientists will track salt pollution from source to outflow, studying the impacts on freshwater ecosystems dynamics, and modeling the role of river networks on salinity regimes. Findings will be expanded to the regional scale to investigate the role of lakes in larger river networks and machine learning approaches will be used to transfer knowledge of well-monitored systems to unmonitored systems for better spatial and temporal prediction of salinity dynamics. This work aims to advance the use of machine learning approaches for conducting data-driven ecological science. Globally, the risk of lake salinization exists for a broad range of lakes beyond the United States. Project members will collaborate with the international limnological community to establish a global database of lake salinity and ion concentration data. This resource will be used to advance our global understanding of salinization trends, drivers, adaptation, and management strategies.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.

该奖项是根据2021年《美国救援计划法》的全部或部分资助（公共法117-2）。Freshwater是饮用水，农业和工业用途所需的关键资源。在美国的某些地区，淡水资源受到盐水平升高的威胁。使用水软化剂，在冬季在道路上撒盐，一些农业活动为湖泊，河流和地下水增添了盐分。该项目将研究盐的来源，如何穿过河流和湖泊，以及对威斯康星州淡水栖息地的影响。该项目的总体目标是通过改善科学理解，教育和公众参与来保护我们的淡水资源免受进一步的盐污染。研究人员将与社区组织合作，这些组织的任务旨在通过社区活动和社交媒体来保护水质并提高对盐分影响的认识。将公开提供教学和分析数据的资源，以鼓励更高的认识并进一步研究盐对淡水资源的影响。该项目的研究主题着重于在一系列空间尺度上了解淡水环境中的盐循环。在地方规模上，该项目将在威斯康星州的Yahara流域建立长期的盐观测站。在那里，科学家将追踪从来源到流出的盐污染，研究对淡水生态系统动力学的影响，并建模河网络对盐度制度的作用。调查结果将扩展到区域量表，以研究湖泊在较大的河网络中的作用，并将使用机器学习方法将对良好监控系统的知识转移到无监测的系统中，以更好地预测盐度动力学的时间。这项工作旨在推动使用机器学习方法来进行数据驱动的生态科学。在全球范围内，在美国以外的广泛湖泊中存在湖泊盐化的风险。项目成员将与国际林长学界合作，建立湖泊盐度和离子浓度数据的全球数据库。该资源将用于促进我们对盐分趋势，驱动因素，适应和管理策略的全球理解。该奖项反映了NSF的法定使命，并使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来获得支持。