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

加拿大拥有五大湖大约一半的海岸线。近岸地区尤其容易出现水质恶化和环境问题，如因粪便污染导致藻类大量繁殖和海滩关闭。维持五大湖的健康给加拿大带来了巨大的经济利益：仅与娱乐有关的活动的经济价值估计每年就超过20亿美元。虽然五大湖周围的流域充分认识到地下水排放对河流流量的重要性，但地下水对湖泊的直接输入仍然受到限制，据估计，在一些地区，地下水排放占河流排放的比例从几%到50%以上不等。地下水排放进一步将营养物质和污染物从陆地输送到近岸地区，可能会造成严重的生态影响。确定地下水排放的作用的关键挑战是：(1)准确估计地下水向湖的流量和化学成分，(2)说明地下水和湖泊水在近岸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、气候变化和湖泊水位变化如何调节地下水排放和相关物质通量的能力。虽然关于沿海海洋环境中海底地下水排放的研究数量迅速增加，但对大型内陆水体的研究却少得多。由于海岸线的巨大长度和不均一性，以及与五大湖接壤的大部分未经测量的盆地，对区域地下水输入的估计需要创新的数据同化和建模方法。建议数

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