Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater
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Published:2020-02-20
Issue:1
Volume:7
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Olarinoye TundeORCID, Gleeson TomORCID, Marx Vera, Seeger Stefan, Adinehvand Rouhollah, Allocca Vincenzo, Andreo Bartolome, Apaéstegui JamesORCID, Apolit Christophe, Arfib BrunoORCID, Auler Augusto, Bailly-Comte Vincent, Barberá Juan Antonio, Batiot-Guilhe Christelle, Bechtel Timothy, Binet Stephane, Bittner Daniel, Blatnik Matej, Bolger Terry, Brunet Pascal, Charlier Jean-Baptiste, Chen Zhao, Chiogna Gabriele, Coxon Gemma, De Vita Pantaleone, Doummar Joanna, Epting Jannis, Fleury Perrine, Fournier MatthieuORCID, Goldscheider Nico, Gunn John, Guo Fang, Guyot Jean Loup, Howden Nicholas, Huggenberger Peter, Hunt Brian, Jeannin Pierre-Yves, Jiang Guanghui, Jones Greg, Jourde Herve, Karmann Ivo, Koit Oliver, Kordilla Jannes, Labat David, Ladouche BernardORCID, Liso Isabella Serena, Liu Zaihua, Maréchal Jean-Christophe, Massei Nicolas, Mazzilli Naomi, Mudarra Matías, Parise MarioORCID, Pu Junbing, Ravbar NatašaORCID, Sanchez Liz Hidalgo, Santo Antonio, Sauter Martin, Seidel Jean-Luc, Sivelle Vianney, Skoglund Rannveig Øvrevik, Stevanovic Zoran, Wood Cameron, Worthington Stephen, Hartmann AndreasORCID
Abstract
AbstractKarst 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.
Funder
Emmy Noether-Programme of the German Research Foundation
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference26 articles.
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