Groundwater-lake interactions on water quality in the nearshore zone of the Great Lakes: A regional scale modeling approach

地下水与湖泊相互作用对五大湖近岸地区水质的影响：区域尺度建模方法

• 批准号: RGPIN-2015-05868
• 负责人: Dürr, Hans
• 金额: $ 1.6万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=649815
• 关键词: Groundwater; lake; interactions; water; quality

Canada has about half of the Great Lakes' shoreline. Near-shore areas are especially prone to deterioration of water quality and environmental problems, such as algal blooms and beach closures caused by fecal contamination. Maintaining the health of the Great Lakes brings large economic benefits to Canada: the economic value of recreation-related activities alone has been estimated at more than $2 billion per year. While the importance of groundwater discharge for river flow is well recognized for watersheds around the Great Lakes, direct input of groundwater to the lakes remains poorly constrained, with estimates ranging from a few percent to over 50% of river discharge in some areas. Groundwater discharge further transports nutrients and pollutants from land to the near-shore zone, with potentially severe ecological impacts. Key challenges in determining the role of groundwater discharge are (1) to accurately estimate the lake-ward flow and chemical composition of the groundwater, (2) to account for the biogeochemical transformations taking place in the near-shore mixing zone between ground- and lake-water, and (3) to develop the capability to forecast how land-use changes, water management, climate change and lake water level changes modulate the discharge of groundwater and the associated material fluxes. While the number of studies on submarine groundwater discharge in coastal marine environments is rapidly increasing, much less research is being carried out for large inland water bodies. Because of great length and heterogeneity of the shoreline, and the large fraction of ungauged basins bordering the Great Lakes, estimations of regional groundwater inputs require innovative data assimilation and modeling approaches. The proposed Discovery Grant research will create and use a groundwater flow and reaction model framework to fill the current knowledge gap. The model will be applied to the Canadian side of the Great Lakes, and focus on the land to lake transfers of macronutrients (N, P and Si), which are arguably one of the major anthropogenic pressures on freshwater bodies. Regional groundwater flow model calculations will be coupled to biogeochemical reaction modules for the nutrient elements. Particular attention will be given to the near-shore subsurface reaction zone where groundwater and lake water meet, and the analysis of human-impact scenarios (fertilizer application, coastal development, groundwater extraction, lake level changes). The modeling results will set the stage for assessing the implications of groundwater discharge for water quality and ecosystem health of the Great Lakes and, hence, formulating guidelines for monitoring and water management and governance.

加拿大拥有大约一半的五大湖的海岸线。近岸地区特别容易出现水质恶化和环境问题，如藻类大量繁殖和粪便污染导致的海滩关闭。保持五大湖的健康给加拿大带来了巨大的经济利益：据估计，仅与娱乐有关的活动的经济价值每年就超过20亿加元。虽然五大湖周围流域的地下水排放对河流流量的重要性已得到充分认识，但对湖泊的地下水直接输入仍然缺乏限制，估计在某些地区占河流排放量的百分之几到50%以上。地下水排放进一步将陆地的营养物和污染物输送到近岸地区，可能造成严重的生态影响。在确定地下水排放的作用方面的主要挑战是：（1）准确估计地下水向湖泊的流动和化学成分;（2）说明在近岸地下水和湖水混合区发生的生物地球化学变化;（3）发展预测土地利用变化、水管理、气候变化和湖水位的变化调节地下水的排放和相关物质的流动。虽然关于沿海海洋环境中海底地下水排放的研究数量正在迅速增加，但对大型内陆水体的研究却少得多。由于海岸线的长度和异质性，以及与五大湖接壤的大部分未测量盆地，区域地下水输入的估计需要创新的数据同化和建模方法。拟议的发现补助金研究将创建和使用地下水流和反应模型框架，以填补目前的知识空白。该模型将适用于加拿大一侧的五大湖，并侧重于陆地到湖泊的宏量营养素（N，P和Si），这可以说是一个主要的人为压力对淡水水体。区域地下水流模型计算将与营养元素的地球化学反应模块相结合。将特别注意地下水和湖水交汇处的近岸地下反应区，以及分析人类影响情景（施肥、沿海开发、地下水抽取、湖平面变化）。模拟结果将为评估地下水排放对五大湖水质和生态系统健康的影响奠定基础，从而为监测和水管理和治理制定指导方针。