Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater
Karst aquifers provide drinking water for 10% of the world’s population, support agriculture, groundwater-dependent activities, and ecosystems. These aquifers are characterised by complex groundwater-flow systems, hence, they are extremely vulnerable and protecting them requires an in-depth understa...
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Veröffentlicht in: | Scientific data 2020-02, Vol.7 (1), p.59, Article 59 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Karst aquifers provide drinking water for 10% of the world’s population, support agriculture, groundwater-dependent activities, and ecosystems. These aquifers are characterised by complex groundwater-flow systems, hence, they are extremely vulnerable and protecting them requires an in-depth understanding of the systems. Poor data accessibility has limited advances in karst research and realistic representation of karst processes in large-scale hydrological studies. In this study, we present World Karst Spring hydrograph (WoKaS) database, a community-wide effort to improve data accessibility. WoKaS is the first global karst springs discharge database with over 400 spring observations collected from articles, hydrological databases and researchers. The dataset’s coverage compares to the global distribution of carbonate rocks with some bias towards the latitudes of more developed countries. WoKaS database will ensure easy access to a large-sample of good quality datasets suitable for a wide range of applications: comparative studies, trend analysis and model evaluation. This database will largely contribute to research advancement in karst hydrology, supports karst groundwater management, and promotes international and interdisciplinary collaborations.
Measurement(s)
hydrographic feature • fluid flow rate
Technology Type(s)
digital curation
Factor Type(s)
geographic location • year
Sample Characteristic - Environment
karst • spring • groundwater
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.11336507 |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-019-0346-5 |