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: 2227357
• 负责人: Damon Hall
• 金额: $ 27.43万
• 依托单位: University of Missouri-Columbia
• 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: 2023-01-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227357&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.

中西部北部是世界上农业生产力最高的地区之一，为了实现这一生产力，该地区广泛安装了农业排水系统，以在重大降水事件发生后迅速排除多余的土壤水分。由于水从农田快速输送到附近的河流或溪流，虽然已经在各个流域研究了瓦排水对水流和水质的影响，但该项目将评估瓦排水如何在大空间尺度上改变水流。做出更广泛的结论并此外，瓦排水对水温状况的影响在很大程度上是未知的，因为它们会影响生物活性、气体溶解度和水蒸发率。这项工作将水流和水温观测与一系列地理空间信息（例如，瓦片排水、土地利用、气候数据）结合起来，研究瓦片排水对整个规模的水流和水温的影响。在整个项目中，利益相关者将在统计模型之前和之后接受采访，以确保该项目产生可操作的成果。这项工作还将为本科生和研究生提供宝贵的研究经验。提供该项目中使用的方法和方法的实践经验。研究结果将在手稿、会议演示、新闻稿和公共数据门户中传播。这项研究将开发整个农业规模的分位数回归模型。密西西比河流域的一部分并在当地流域层面提供更好的洞察驱动次日和日径流和水温季节性变化的机制。使用分位数回归模型将允许对水流和水温的全面分布进行检查。整个建模过程的参与将根据用户群体的兴趣塑造模型结果和输出显示，从而将模型的显着性和实用性扩展到其他群体。结果将提高对瓷砖排水如何改变当地和区域水文和水温的理解，从而提供额外的信息。洞察中西部主要问题该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。