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Brochure, flyer, fact-sheetCourse: SDG Indicator 6.4.2 - Level of water stress
Sustainable Development Goal indicators
2018Also available in:
No results found.This course provides tools, methods and processes to support countries in monitoring and reporting on SDG Indicator 6.4.2 “Level of water stress: freshwater withdrawal in percentage of available freshwater resources“. -
Book (series)A disaggregation of indicator 6.4.2 “Level of water stress: freshwater withdrawal as a proportion of available freshwater resources” at river basin district level in Italy 2023
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No results found.This report is the presentation of the methodology applied in Italy to spatially disaggregate the computation of the level of water stress from the national to the subnational scale (SDG indicator 6.4.2). Compared to the national assessment, which results in a low level of water stress in the country, the spatial disaggregation of the indicator by the hydrological unit highlighted the presence of basins affected by water stress exceeding 60 per cent (district of the Po river basin). The analysis was performed considering the long-term average of the available fresh water resources calculated on different reference periods (1951-2020, 1961-90, 1991-2020), and this put in evidence the impact of climate change on the level of water stress. This report is part of the series SDG 6.4 MONITORING SUSTAINABLE USE OF WATER RESOURCES PAPERS that collects all the achievements on SDG 6.4. The study was implemented by the Italian Institute for Environmental Protection and Research (ISPRA), responsible for the model and data used to assess the total renewable freshwater resources, and the Italian National Institute of Statistics (ISTAT), which has provided the methodology and the official statistics related to water withdrawals by economic sector (Agriculture, Services, and Industry). The study is the outcome of an agreement between FAO and ISPRA under the Integrated Monitoring Initiative for SDG 6 (IMI-SDG6), designed to produce a map of Italy showing the SDG indicator 6.4.2 “Level of water stress: freshwater withdrawal as a proportion of available freshwater resources” disaggregated at river basin district level. To learn more about the Integrated Monitoring Initiative for SDG 6, visit www.sdg6monitoring.org. -
Book (stand-alone)Progress on level of water stress - Global baseline for SDG 6 Indicator 6.4.2 2018
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No results found.Access to safe water and sanitation and sound management of freshwater ecosystems are at the core of sustainable development. This is the aim of Sustainable Development Goal 6 (SDG 6), which includes approaches to water management such as environmental flow requirements, international cooperation, capacity building and stakeholder participation. Indicator 6.4.2 is useful for policymaking as it highlights those regions under high water stress, thereby informing countries on where they need to make efforts to improve water resource usage and promote water saving. Agriculture is by far the largest user of water worldwide, so reducing water use in this sector is particularly important. Agricultural water-savings can take many forms, including more sustainable and efficient food production through sustainable water management practices and technologies, and reducing freshwater withdrawals by growing a smaller amount of water-intensive crops in water-scarce regions. Reducing losses in municipal distribution networks, industrial and energy cooling processes is also important for reducing water stress, as well as using treated wastewater and desalinated water. This report describes the methodology for the assessment of SDG indicator 6.4.2 on the level of water stress, illustrating its development in the pilot phase of the GEMI project, and describing the technical steps needed to apply it. It passes to present the data collection process, and the role of the various national and international stakeholders in the monitoring process. Finally, the report shows the results of the first implementation of the indicator, defining its baseline and proposing key messages for the interpretation of the results.
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