Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Olarinoye T

PROVIDER: S-EPMC7033224 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Olarinoye Tunde T Gleeson Tom T Marx Vera V Seeger Stefan S Adinehvand Rouhollah R Allocca Vincenzo V Andreo Bartolome B Apaéstegui James J Apolit Christophe C Arfib Bruno B Auler Augusto A Bailly-Comte Vincent V Barberá Juan Antonio JA Batiot-Guilhe Christelle C Bechtel Timothy T Binet Stephane S Bittner Daniel D Blatnik Matej M Bolger Terry T Brunet Pascal P Charlier Jean-Baptiste JB Chen Zhao Z Chiogna Gabriele G Chiogna Gabriele G Coxon Gemma G De Vita Pantaleone P Doummar Joanna J Epting Jannis J Fleury Perrine P Fournier Matthieu M Goldscheider Nico N Gunn John J Guo Fang F Guyot Jean Loup JL Howden Nicholas N Huggenberger Peter P Hunt Brian B Jeannin Pierre-Yves PY Jiang Guanghui G Jones Greg G Jourde Herve H Karmann Ivo I Koit Oliver O Kordilla Jannes J Labat David D Ladouche Bernard B Liso Isabella Serena IS Liu Zaihua Z Maréchal Jean-Christophe JC Massei Nicolas N Mazzilli Naomi N Mudarra Matías M Parise Mario M Pu Junbing J Ravbar Nataša N Sanchez Liz Hidalgo LH Santo Antonio A Sauter Martin M Seidel Jean-Luc JL Sivelle Vianney V Skoglund Rannveig Øvrevik RØ Stevanovic Zoran Z Wood Cameron C Worthington Stephen S Hartmann Andreas A

Scientific data 20200220 1

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 Worl ...[more]

PMID: 32080203

Similar Datasets

Project description:Shallow groundwater (GW), defined as the water table of unconfined or perched aquifers that is near enough to the land surface to influence the vadose zone and the surface soil moisture, impacts land surface water, energy, and carbon cycles by providing additional moisture to the root zone via capillary fluxes. Although the interactions of shallow GW and the terrestrial land surface are widely recognized, incorporating shallow GW into the land surface, climate, and agroecosystem models is not yet possible due to the lack of groundwater data. Groundwater systems are affected by various factors, including climate, land use/land cover, ecosystems, GW extractions, and lithology. Although GW wells are the most direct and accurate way of monitoring water table depths at point scales, upscaling GW levels from point scale to areal or regional scale poses significant challenges. Here, we provide high spatiotemporal resolution global maps of the terrestrial land surface areas influenced by shallow GW from mid-2015 to 2021 (a separate NetCDF file for each year) in a 9 km spatial and daily temporal resolution. We derived this data from NASA's Soil Moisture Active Passive (SMAP) mission spaceborne soil moisture observations with a temporal resolution of 3 days and approximately 9 km grid resolution. This spatial scale corresponds to SMAP's "Equal Area Scalable Earth" (EASE) grids. The central assumption is that the monthly moving average of soil moisture observations and their coefficient of variation are sensitive to shallow GW regardless of the prevailing climate. We process the Level-2 enhanced passive soil moisture SMAP (SPL2SMP_E) product to detect shallow GW signals. The presence of shallow GW data is calculated by an ensemble machine learning model, which is trained using simulations from a variably saturated soil moisture flow model (Hydrus-1D). The simulations span various climates, soil textures, and lower boundary conditions. The spatiotemporal distribution of shallow GW data based on SMAP soil moisture observations is provided for the first time with this dataset. The data are of value in a wide variety of applications. The most direct use is in climate and land surface models as lower boundary conditions or as a diagnostic tool to verify model results. Some other applications may include flood risk analyses and regulation, identifying geotechnical issues such as shallow GW-triggered liquefaction, global food security, ecosystem services, watershed management, crop yield, vegetation health, water storage trends, and tracking mosquito-borne diseases by identifying wetlands, among other applications.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets