GroMoPo Metadata for Lake Constance model

The joint project SeeZeichen deals with essential immission pathways of water constituents into Lake Constance. A wide variety of measuring concepts, measuring instruments, and numerical models have been combined with each other in order to achieve a comprehensive representation of the entry of groundwater into Lake Constance. Based on a catchment-wide hydrogeological model, a groundwater model for the Lake Constance region was implemented, which for the first time calculates temporally differentiated and spatially highly-resolved quantitative estimates of groundwater inflows into Lake Constance. With a method toolbox for identifying and quantifying groundwater in lakes, groundwater exfiltration into Lake Constance can be localized and quantified. A multi-parameter water body signature allows to obtain further information on groundwater inflows into the lake. The measured values obtained were interpreted and checked for their plausibility by means of inverse modeling with a spatially high-resolution 3-dimensional hydrodynamic lake model. With a coupled groundwater-lake model, the entire system of hydrogeological context/groundwater and lake can be seamlessly modeled for the first time. Measuring methods, tools and models are also used in Lake Ammersee and Lake Steisslinger See, thus demonstrating the transferability to other lakes and into the general water management practice.

联合项目SeeZeichen聚焦于水体组分进入康斯坦茨湖（Lake Constance）的核心输入路径。研究团队整合了多样化的测量理念、测量仪器与数值模型（numerical model），以全面刻画地下水注入康斯坦茨湖的过程。本研究基于流域尺度水文地质模型（catchment-wide hydrogeological model），构建了康斯坦茨湖区域地下水模型，首次实现了对地下水入湖通量的时间分异、空间高分辨率定量估算。借助用于湖泊地下水识别与量化的方法工具箱，可对康斯坦茨湖的地下水渗出（groundwater exfiltration）点进行定位与通量量化。通过多参数水体特征指纹（multi-parameter water body signature）技术，可获取更多关于湖泊地下水入湖的相关信息。所获取的实测数据，通过空间高分辨率三维水动力湖泊模型（3-dimensional hydrodynamic lake model）开展反演建模（inverse modeling），以完成数据解译与合理性校验。借助耦合地下水-湖泊模型，首次实现了水文地质背景、地下水与湖泊的全系统无缝建模。本研究的测量方法、工具与模型同样应用于阿默湖（Lake Ammersee）与施泰斯林格湖（Lake Steisslinger See），由此验证了该技术体系向其他湖泊以及通用水管理实践的可迁移性。