Advances in Karst Research: Theory, Fieldwork and Applications
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Karst landscapes and karst aquifers are composed of a variety of soluble rocks, such as salt, gypsum, anhydrite, limestone, dolomite and quartzite. They are fascinating areas of exploration, study and research. As karst rocks are abundant on the Earth’s surface, the fast evolution of karst landscapes and the rapid flow of water through karst aquifers present many challenges from a number of different perspectives. This collection of 25 papers deals with different aspects of these challenges, including karst geology, geomorphology and speleogenesis, karst hydrogeology, karst modelling, and karst hazards and management. Together these papers provide a state-of-the-art review of the current challenges and solutions we face in describing karst from a scientific perspective, while at the same time providing useful data and information for managing karst territories to land planners, developers, and managers of show caves, natural parks and reserves in karst terrains.
Experiences in calibrating and evaluating lumped karst hydrological models
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Published:January 01, 2018
Abstract
Karst systems play an important part in providing clean drinking water for many countries worldwide. Their sustainable management often requires the application of karst hydrological models to quantify the water volumes available and to assess their sensitivity to changes in climate or land use. The available literature provides a broad overview of different modelling approaches to simulate karst hydrology, but guidance for the application of these approaches is scarce. This paper provides personal insights into the application, calibration and evaluation of lumped karst hydrological models. An introduction to model calibration and sensitivity analysis is given, with links to further reading and ready-to-use toolboxes. It is followed by three case studies of karst model applications at three different scales (the plot scale, aquifer scale and continental scale), which apply model calibration and sensitivity analysis to obtain realistic simulations. These three case studies elaborate how the necessary trade-off between the available data and process representation in the model structures was achieved. General recommendations and a workflow for future karst model applications are given.