2021
DOI: 10.1007/s10040-020-02279-8
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Groundwater vulnerability to pollution in karst aquifers, considering key challenges and considerations: application to the Ubrique springs in southern Spain

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Cited by 23 publications
(7 citation statements)
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“…The measured parameters' data in real-time monitoring should be uploaded to an online database. Based on obtained data, the appropriate algorithm would continuously assess the potential risk of contamination and automatically validate its forecasting in near-real time and give a warning about the risk of contamination for spring water quality [52].…”
Section: Discussionmentioning
confidence: 99%
“…The measured parameters' data in real-time monitoring should be uploaded to an online database. Based on obtained data, the appropriate algorithm would continuously assess the potential risk of contamination and automatically validate its forecasting in near-real time and give a warning about the risk of contamination for spring water quality [52].…”
Section: Discussionmentioning
confidence: 99%
“…Long-term spring flow and water quality observations, isotope analysis, natural tracers, and water budgeting could help in a better understanding of hydrogeological properties of the karst system [12]. However, spatial validation of vulnerability maps is possible only by conducting dye-trace experiments at different points of the source catchment [41]. Dye tracer travel time and recovery rate could directly confirm the vulnerability degree obtained by applying the COP + K method and water travel time obtained by applying the TDM method.…”
Section: Discussionmentioning
confidence: 99%
“…To make these assessments, predominant criteria are usually based on distance and flow, and sensitive areas are delineated in concentric spheres upstream from the source. Many studies have highlighted the inadequacy of traditional strategies for protecting karst water sources and stressed the need to develop an integrated approach [151][152][153].…”
Section: Concluding Remarks and Future Perspectivesmentioning
confidence: 99%