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Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater

Olarinoye, Tunde; Gleeson, Tom; Marx, Vera; Seeger, Stefan; Adinehvand, Rouhollah; Allocca, Vincenzo; Andreo, Bartolome; Apaéstegui, James; Apolit, Christophe; Arfib, Bruno; Auler, Augusto; Barberá, Juan Antonio; Batiot-Guilhe, Christelle; Bechtel, Timothy; Binet, Stephane; Bittner, Daniel; Blatnik, Matej; Bolger, Terry; Brunet, Pascal; ... mehr

Abstract (englisch):

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.

Verlagsausgabe §
DOI: 10.5445/IR/1000105983
Veröffentlicht am 20.02.2020
DOI: 10.1038/s41597-019-0346-5
Zitationen: 52
Web of Science
Zitationen: 43
Zitationen: 59
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Geowissenschaften (AGW)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 2052-4463
KITopen-ID: 1000105983
Erschienen in Scientific data
Verlag Nature Research
Band 7
Heft 1
Seiten Art. Nr.: 59
Vorab online veröffentlicht am 20.02.2020
Nachgewiesen in Scopus
Web of Science
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