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Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level
This paper describes a method to disaggregate indicator 6.4.2 (level of water stress) by major river basins. The analysis was performed using the GlobWat soil water balance model and global geospatial data consistent with national statistics published in AQUASTAT, the FAO’s global information system...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
UCL Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208326/ https://www.ncbi.nlm.nih.gov/pubmed/37228788 http://dx.doi.org/10.14324/111.444/ucloe.000026 |
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author | Biancalani, Riccardo Marinelli, Michela |
author_facet | Biancalani, Riccardo Marinelli, Michela |
author_sort | Biancalani, Riccardo |
collection | PubMed |
description | This paper describes a method to disaggregate indicator 6.4.2 (level of water stress) by major river basins. The analysis was performed using the GlobWat soil water balance model and global geospatial data consistent with national statistics published in AQUASTAT, the FAO’s global information system on water and agriculture. When a river basin spans across more than one country, the water stress calculated by country can be very different from that calculated by the river basin as the counting of the renewable freshwater resources from one country to another is highly dependent on the official agreement and treaties that regulate the flow of those resources between countries. This problem is solved hydrologically once the accounting of the water resources is done on the major river basin as a whole. The disaggregation by the river basin allows the identification of hotspots where actions should be prioritised and reveals that the area affected by a high or critical water stress spans across all continents with the exception of Oceania. It also offers the possibility of an analysis of freshwater withdrawals by sector, which may become crucial for the definition of water management policies in the context of the economic development of a country. |
format | Online Article Text |
id | pubmed-10208326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | UCL Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102083262023-05-24 Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level Biancalani, Riccardo Marinelli, Michela UCL Open Environ Research Article This paper describes a method to disaggregate indicator 6.4.2 (level of water stress) by major river basins. The analysis was performed using the GlobWat soil water balance model and global geospatial data consistent with national statistics published in AQUASTAT, the FAO’s global information system on water and agriculture. When a river basin spans across more than one country, the water stress calculated by country can be very different from that calculated by the river basin as the counting of the renewable freshwater resources from one country to another is highly dependent on the official agreement and treaties that regulate the flow of those resources between countries. This problem is solved hydrologically once the accounting of the water resources is done on the major river basin as a whole. The disaggregation by the river basin allows the identification of hotspots where actions should be prioritised and reveals that the area affected by a high or critical water stress spans across all continents with the exception of Oceania. It also offers the possibility of an analysis of freshwater withdrawals by sector, which may become crucial for the definition of water management policies in the context of the economic development of a country. UCL Press 2021-11-04 /pmc/articles/PMC10208326/ /pubmed/37228788 http://dx.doi.org/10.14324/111.444/ucloe.000026 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence (CC BY) 4.0 (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Biancalani, Riccardo Marinelli, Michela Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level |
title | Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level |
title_full | Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level |
title_fullStr | Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level |
title_full_unstemmed | Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level |
title_short | Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level |
title_sort | assessing sdg indicator 6.4.2 ‘level of water stress’ at major basins level |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208326/ https://www.ncbi.nlm.nih.gov/pubmed/37228788 http://dx.doi.org/10.14324/111.444/ucloe.000026 |
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