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      Assessing SDG indicator 6.4.2 ‘level of water stress’ at major basins level

      research-article
      1 , * , 2
      UCL Open Environment
      UCL Press
      water stress, GIS, environmental flows, Sustainable Development Goals, river basin, disaggregation

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          Abstract

          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.

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          Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000

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            Appraisal and Assessment of World Water Resources

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              Physical water scarcity metrics for monitoring progress towards SDG target 6.4: An evaluation of indicator 6.4.2 “Level of water stress”

              Target 6.4 of the recently adopted Sustainable Development Goals (SDGs) deals with the reduction of water scarcity. To monitor progress towards this target, two indicators are used: Indicator 6.4.1 measuring water use efficiency and 6.4.2 measuring the level of water stress (WS). This paper aims to identify whether the currently proposed indicator 6.4.2 considers the different elements that need to be accounted for in a WS indicator. WS indicators compare water use with water availability. We identify seven essential elements: 1) both gross and net water abstraction (or withdrawal) provide important information to understand WS; 2) WS indicators need to incorporate environmental flow requirements (EFR); 3) temporal and 4) spatial disaggregation is required in a WS assessment; 5) both renewable surface water and groundwater resources, including their interaction, need to be accounted for as renewable water availability; 6) alternative available water resources need to be accounted for as well, like fossil groundwater and desalinated water; 7) WS indicators need to account for water storage in reservoirs, water recycling and managed aquifer recharge. Indicator 6.4.2 considers many of these elements, but there is need for improvement. It is recommended that WS is measured based on net abstraction as well, in addition to currently only measuring WS based on gross abstraction. It does incorporate EFR. Temporal and spatial disaggregation is indeed defined as a goal in more advanced monitoring levels, in which it is also called for a differentiation between surface and groundwater resources. However, regarding element 6 and 7 there are some shortcomings for which we provide recommendations. In addition, indicator 6.4.2 is only one indicator, which monitors blue WS, but does not give information on green or green-blue water scarcity or on water quality. Within the SDG indicator framework, some of these topics are covered with other indicators.
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                Author and article information

                Journal
                UCL Open Environ
                UCLOE
                UCL Open Environment
                UCL Open Environ
                UCL Press (UK )
                2632-0886
                04 November 2021
                2021
                : 3
                : e026
                Affiliations
                [1 ]FAO, viale delle Terme di Caracalla, 00153 Rome, Italy
                [2 ]c/o FAO, viale delle Terme di Caracalla, 00153 Rome, Italy
                Author notes
                *Corresponding author: E-mail: riccardo.biancalani@ 123456fao.org
                Author information
                https://orcid.org/0000-0002-5221-5260
                https://orcid.org/0000-0002-5442-8139
                Article
                10.14324/111.444/ucloe.000026
                10208326
                673cd19a-92a9-496b-a089-34c140d9d7e9
                © 2021 The Authors.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence (CC BY) 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 May 2021
                : 31 August 2021
                Page count
                Figures: 14, References: 32, Pages: 17
                Categories
                Research Article

                disaggregation,river basin,Sustainable Development Goals,environmental flows,GIS,water stress

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