Back to Search Start Over

A global dataset of surface water and groundwater salinity measurements from 1980–2019

Authors :
Michelle T. H. van Vliet
Josefin Thorslund
Source :
Scientific Data, Scientific Data, Vol 7, Iss 1, Pp 1-11 (2020)
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Salinization of freshwater resources is a growing water quality challenge, which may negatively impact both sectoral water-use and food security, as well as biodiversity and ecosystem services. Although monitoring of salinity is relatively common compared to many other water quality parameters, no compilation and harmonisation of available datasets for both surface and groundwater components have been made yet at the global scale. Here, we present a new global salinity database, compiled from electrical conductivity (EC) monitoring data of both surface water (rivers, lakes/reservoirs) and groundwater locations over the period 1980–2019. The data were assembled from a range of sources, including local to global salinity databases, governmental organizations, river basin management commissions and water development boards. Our resulting database comprises more than 16.3 million measurements from 45,103 surface water locations and 208,550 groundwater locations around the world. This database could provide new opportunities for meta-analyses of salinity levels of water resources, as well as for addressing data and model-driven questions related to historic and future salinization patterns and impacts.<br />Measurement(s) electrical conductivity Technology Type(s) water monitoring station • water quality sampling Factor Type(s) date • geographic location Sample Characteristic - Environment surface water • groundwater Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12455954

Details

ISSN :
20524463 and 12455954
Volume :
7
Database :
OpenAIRE
Journal :
Scientific Data
Accession number :
edsair.doi.dedup.....e1d14952bfe1d1a92133f4df9f2c03cd
Full Text :
https://doi.org/10.1038/s41597-020-0562-z