Jörg Schullehner

Danish Water Supply Areas and their links to water production facilities: an open-access data set

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This data set establishes the missing link between drinking-water quality monitoring data at the water production facility level in the Danish national geodatabase Jupiter and supply areas. Water Supply Areas (WSAs) were collected at municipality level, digitised and linked to the waterworks they are supplied by. Infrastructural changes between 1978 and 2019 were taken into account by allowing WSA polygons to change over time. The number of active WSAs decreased from 3172 in 1978 to 2602 in 2019. The data set consists of longitudinal WSA polygons and a table linking WSAs to the water production facility identification in the Jupiter database, allowing the estimation of cur-rent and historical drinking-water quality across Denmark. In combination with the Danish Address Register and the Civil Registration System, this data set allows exposure assessments of drink-ing-water quality at high spatiotemporal resolution for the entire Danish population. Therefore, this data set is an essential part of studying health effects of drinking-water quality in epidemiological research in Denmark.

OriginalsprogEngelsk
Artikelnummer8319
TidsskriftGEUS Bulletin
Vol/bind49
ISSN2597-2162
DOI
StatusUdgivet - 2022

Bibliografisk note

Funding Information:
statement This data set has been developed during several years with funding from Innovation Fund Denmark (dNmark research alliance), the Centre for Register-based Research at Aarhus University (CIRRAU), the Aarhus University Research Foundation (grant AUFF-E-2015-FLS-8-61), the United States National Institutes of Health/National Institute of Environmental Health Sciences (grant R01 ES027823-01A1), the Karen Elise Jensens Foundation and the Novo Nordisk Foundation Challenge Programme BERTHA – the Danish Big Data Centre for Environment and Health (grant NNF17OC0027864).

Funding Information:
This data set has been developed during several years with funding from Innovation Fund Denmark (dNmark research alliance), the Centre for Register-based Research at Aarhus University (CIRRAU), the Aarhus University Research Foundation (grant AUFF-E-2015-FLS-8-61), the United States National Institutes of Health/National Institute of Environmental Health Sciences (grant R01 ES027823-01A1), the Karen Elise Jensens Foundation and the Novo Nordisk Foundation Challenge Programme BERTHA – the Danish Big Data Centre for Environment and Health (grant NNF17OC0027864).

Publisher Copyright:
© 2022, GEUS - Geological Survey of Denmark and Greenland. All rights reserved.

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