Assessing SDG indicator 6.4.2 'level of water stress' at major basins level.

Riccardo Biancalani, Michela Marinelli
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引用次数: 5

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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在主要流域层面评估可持续发展目标指标6.4.2“水资源压力水平”。
本文提出了一种按主要流域分解指标6.4.2(水资源压力水平)的方法。分析使用的是GlobWat土壤水分平衡模型和全球地理空间数据,这些数据与粮农组织全球水与农业信息系统AQUASTAT上公布的国家统计数据一致。当一个河流流域跨越多个国家时,国家计算的水资源压力可能与河流流域计算的水资源压力大不相同,因为从一个国家到另一个国家的可再生淡水资源的计算高度依赖于规范这些资源在国家之间流动的官方协议和条约。对主要流域的水资源进行整体核算,从水文学上解决了这一问题。按流域分类可以确定应优先采取行动的热点地区,并揭示受高度或临界水压力影响的地区跨越除大洋洲以外的所有大陆。它还提供了按部门分析淡水抽取情况的可能性,这对于在一国经济发展的范围内确定水管理政策可能是至关重要的。
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