2022
DOI: 10.1007/s42452-022-05082-0
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Managing groundwater resources using a national reference database: the French ADES concept

Abstract: Groundwater is an integral part of the water cycle and an essential human resource. Humans must protect this ever-changing heritage and preserve it in a sustainable way by understanding the physical and chemical properties of aquifers and monitoring their quantity and quality. Numerous studies have collected immense volumes of data that are difficult to access and not always comparable or of adequate quality. A pioneering national-scale database, ADES, was created in 1999 to store and make available quality da… Show more

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Cited by 10 publications
(3 citation statements)
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“…Concerning surface and underground waters, triazole concentrations were obtained for the different cities in the Centre Val de Loire region near the patients' residence from the ADES (Accès aux Données sur les Eaux Souterraines, www.ades.eaufrance.fr ; [64] ) and NAIADES ( https://www.brgm.fr/en/website/naiades-data-surface-water-quality ) databases. For analysis of surface waters, 721 stations were used related to 448 cities and 26 measurements or each triazole were assessed per cities.…”
Section: Methodsmentioning
confidence: 99%
“…Concerning surface and underground waters, triazole concentrations were obtained for the different cities in the Centre Val de Loire region near the patients' residence from the ADES (Accès aux Données sur les Eaux Souterraines, www.ades.eaufrance.fr ; [64] ) and NAIADES ( https://www.brgm.fr/en/website/naiades-data-surface-water-quality ) databases. For analysis of surface waters, 721 stations were used related to 448 cities and 26 measurements or each triazole were assessed per cities.…”
Section: Methodsmentioning
confidence: 99%
“…In 165 addition, the available groundwater levels of climate-sensitive wells (i.e. not strongly affected by human activities and sensitive to climate variability ) with high data quality until the end of 2022 were obtained from the ADES database (Winckel et al, 2022). In addition, the GWL data were clustered into three different clusters following the methodology outlined by , which is based on spectral properties (i.e.…”
Section: Datamentioning
confidence: 99%
“…Annual groundwater-level data are available for download in all cases for which we have received permission from a database manager to post data (data are available from Zenodo (10.5281/zenodo.10003697) and CUAHSI HydroShare ( https://www.hydroshare.org/resource/da946dee3ada4a67860d057134916553/ )); these datasets include groundwater-level data for: Afghanistan 1289 , Austria, Belgium, Brazil, Bulgaria, Canada (Alberta, British Columbia, Manitoba, Northwest Territories, Ontario, Prince Edward Island, Saskatchewan, Yukon), China 1290 , Croatia, Czech Republic, Denmark, France 1291 , Germany, Guam, Ireland, Israel, Italy, Latvia, Lithuania, New Zealand, Norway, Paraguay, Poland, Slovenia, Sweden, Switzerland and the USA (Groundwater Ambient Monitoring and Assessment Program, U.S. Geological Survey’s (USGS) National Water Information System and the Texas Water Development Board). The databases for which we have received written permission to post annual groundwater-level data encompass 59% of annual groundwater-level data analysed here (specifically, we received permission to post 66% ( n = 4,170,802 of n = 6,314,793) of all annual ‘depth to groundwater’ data and 18% ( n = 190,879 of n = 1,049,502) of all ‘groundwater elevation’ data).…”
mentioning
confidence: 99%