Process-based monitoring and modeling of Karst springs - Linking intrinsic to specific vulnerability

Jannis Epting; Rebecca M Page; Adrian Auckenthaler; Peter Huggenberger

doi:10.1016/j.scitotenv.2017.12.272

Process-based monitoring and modeling of Karst springs - Linking intrinsic to specific vulnerability

Sci Total Environ. 2018 Jun 1:625:403-415. doi: 10.1016/j.scitotenv.2017.12.272. Epub 2017 Dec 29.

Authors

Jannis Epting¹, Rebecca M Page², Adrian Auckenthaler³, Peter Huggenberger⁴

Affiliations

¹ Department of Environmental Sciences, Applied and Environmental Geology, University of Basel, Switzerland. Electronic address: jannis.epting@unibas.ch.
² Endress+Hauser (Schweiz) AG, Reinach, Switzerland. Electronic address: rebecca.page@ch.endress.com.
³ Department of Environmental Protection and Energy, Canton Basel-Landschaft, Liestal, Switzerland. Electronic address: adrian.auckenthaler@bl.ch.
⁴ Department of Environmental Sciences, Applied and Environmental Geology, University of Basel, Switzerland. Electronic address: peter.huggenberger@unibas.ch.

PMID: 29289788
DOI: 10.1016/j.scitotenv.2017.12.272

Abstract

The presented work illustrates to what extent field investigations as well as monitoring and modeling approaches are necessary to understand the high discharge dynamics and vulnerability of Karst springs. In complex settings the application of 3D geological models is essential for evaluating the vulnerability of Karst systems. They allow deriving information on catchment characteristics, as the geometry of aquifers and aquitards as well as their displacements along faults. A series of Karst springs in northwestern Switzerland were compared and Karst system dynamics with respect to qualitative and quantitative issues were evaluated. The main objective of the studies was to combine information of catchment characteristics and data from novel monitoring systems (physicochemical and microbiological parameters) to assess the intrinsic vulnerability of Karst springs to microbiological contamination with simulated spring discharges derived from numerical modeling (linear storage models). The numerically derived relation of fast and slow groundwater flow components enabled us to relate different sources of groundwater recharge and to characterize the dynamics of the Karst springs. Our study illustrates that comparably simple model-setups were able to reproduce the overall dynamic intrinsic vulnerability of several Karst systems and that one of the most important processes involved was the temporal variation of groundwater recharge (precipitation, evapotranspiration and snow melt). Furthermore, we make a first attempt on how to link intrinsic to specific vulnerability of Karst springs, which involves activities within the catchment area as human impacts from agriculture and settlements. Likewise, by a more detailed representation of system dynamics the influence of surface water, which is impacted by release events from storm sewers, infiltrating into the Karst system, could be considered. Overall, we demonstrate that our approach can be the basis for a more flexible and differentiated management and monitoring of raw-water quality of Karst springs.

Keywords: 3D geological model; Flow cytometry; Infiltrating surface waters; Intrinsic and specific vulnerability; Karst hydrology; Numerical modeling.