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: 2227356
• 负责人: Darren Ficklin
• 金额: $ 30.02万
• 依托单位: Indiana 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: 2023-01-15 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227356&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.

上中西部是世界上农业生产最丰富的地区之一。为了实现这一生产力，在整个地区广泛安装了农业瓦片排水系统，以便在重大降水事件后迅速去除多余的土壤水分。由于水从农田快速输送到附近的河流或溪流，瓦片排水的存在导致高度操纵的水文。 虽然瓷砖排水对径流和水质的影响已经在个别流域进行了研究，本项目将评估瓷砖排水如何改变大空间尺度的径流，使更广泛的结论和建议，利益相关者。此外，瓷砖排水对水温状况的影响在很大程度上是未知的。水流中水温的变化特别重要，因为它们影响生物活性、气体溶解度和水蒸发速率。利用大规模的径流和水温观测网络，结合一系列地理空间信息（例如，瓷砖排水，土地利用，气候数据），这项工作将研究瓷砖排水对径流和水温的影响，在整个农业上中西部使用统计模型的规模。在整个项目中，利益相关者将在统计建模前后接受采访，以确保项目产生可操作的结果。这项工作也将为本科生和研究生提供宝贵的研究经验。将举办讲习班，提供关于本项目所用方法和办法的实践经验。研究结果将以手稿、会议报告、新闻稿和公共数据门户网站的形式传播。这项研究将在密西西比河流域的整个农业部分和当地流域层面开发分位数回归模型，以更好地了解驱动亚日和日流量和水温季节性变化的机制。分位数回归模型的使用将允许检查流量和水温的全面分布。整个建模过程中的涉众参与将塑造模型结果，并根据用户组的兴趣输出显示，将模型的突出性和实用性扩展到其他组。研究结果将提高人们对瓦片排水如何改变当地和区域水文和水温的理解，从而为中西部地区的主要问题，如水质、洪水和干旱影响提供更多的见解。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。