Collaborative Research: Exploring the Influence of Agricultural Tile Drainage on Streamflow and Water Temperature in the Midwestern US using a Stakeholder-driven Approach

合作研究：采用利益相关者驱动的方法探索美国中西部农业瓷砖排水对水流和水温的影响

• 批准号: 2412249
• 负责人: Damon Hall
• 金额: $ 27.43万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2412249&HistoricalAwards=false
• 关键词: Collaborative; Research; Exploring; Influence; Agricultural

The upper Midwest is one of the most agriculturally productive regions in the world. To achieve this productivity, agricultural tile drainage was widely installed across the region to rapidly remove excess soil water after major precipitation events. The presence of tile drainage results in highly manipulated hydrology due to the rapid transport of water from the agricultural field to a nearby river or stream. While the effect of tile drainage on streamflow and water quality has been studied in individual watersheds, this project will assess how tile drainage alters streamflow at large spatial scales to make broader conclusions and recommendations to stakeholders. In addition, the impacts of tile drainage on water temperature regimes are largely unknown. Changes in water temperature in streams are particularly important, as they influence biological activity, gas solubility, and water evaporation rates. Using a large-scale network of streamflow and water-temperature observations in conjunction with an array of geospatial information (e.g., tile drainage, land use, climate data), this work will examine the effects of tile drainage on streamflow and water temperature at the scale of the entire agricultural Upper Midwest using statistical models. Throughout the project, stakeholders will be interviewed pre- and post-statistical modeling to ensure that the project results in actionable outcomes. The work will also provide valuable research experiences for undergraduate and graduate students. Workshops will be conducted that provide hands-on experience of the methods and approaches to be used in this project. Results will be disseminated in manuscripts, conference presentations, news releases, and public data portals.This research will develop quantile regression models at the scale of the entire agricultural portion of the Mississippi River Basin and at local watershed levels to provide better insight into the mechanisms that drive seasonal variations of sub-daily and daily streamflows and water temperatures. The use of quantile regression models will allow for the full distribution of streamflows and water temperatures to be examined. The stakeholder engagement throughout the modeling process will shape model results and output displays to user groups’ interests, extending model salience and utility to other groups. The results will improve the understanding of how tile drainage has altered local and regional hydrology and water temperature, thereby providing additional insight into major Midwestern concerns such as water quality, flooding, and drought effects.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.

中西部是世界上最农业生产力的地区之一。为了达到这种生产力，在重大精确事件发生后，在整个地区广泛安装了农业瓷砖排水，以迅速去除多余的土壤水。由于水从农田迅速运输到附近的河流或溪流，因此瓷砖排水的存在导致高度操纵的水文学。虽然瓷砖排水对流量和水质的影响已经在各个流域研究了，但该项目将评估瓷砖引流如何在大空间尺度上改变流量，从而对利益相关者得出更广泛的结论和建议。另外，瓷砖引流对水温状态的影响在很大程度上尚不清楚。溪流中水温的变化尤其重要，因为它们会影响生物学活性，气体溶解度和水蒸发率。使用大规模的流量和水温度观测网络与一系列地理空间信息（例如，瓷砖排水，土地利用，气候数据）结合使用，这项工作将研究瓷砖引流对整个中西部地区的尺度上的流量和水温度的影响。通过该项目，将对利益相关者进行访谈前后的统计模型，以确保项目产生可行的结果。这项工作还将为本科生和研究生提供宝贵的研究经验。将举办研讨会，提供该项目中要使用的方法和方法的动手经验。结果将在手稿，会议演示，新闻发布和公共数据门户中进行分散。这项研究将在密西西比河盆地的整个农业部分以及当地的分水岭水平上开发刻痕回归模型，以更好地洞悉驱动亚每日和每日流和水温度的机制。分位数回归模型的使用将允许检查流量和水温的完整分布。在整个建模过程中，利益相关者的参与将使模型结果和输出显示为用户组的兴趣，将模型显着性和实用性扩展到其他组。结果将提高人们对瓷砖排水的理解，如何改变本地和区域水文学和水温，从而提供对中西部主要关注点（例如水质，洪水和干旱效应）的更多见解。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子和更广泛的影响来评估NSF的法定任务。