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22.12.2022Область исследования
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Expert estimates in the Concept of Kazakhstan 2013 transition to green economy forecasted water deficit in the nearest future. The water deficit indicator is the level of water supply identified as the ratio of forecast resources or mineable reserves to water demand. The article presents up-to-date data on water demand of economy branches and urban and rural population need for drinking water, as well as estimated values of water consumption for 2030 and 2040. Taking into consideration that groundwater as a water supply source has some advantages as compared to surface water: higher quality, more reliably protected against pollution and contamination, less exposure to seasonal and multi-annual fluctuations, the level of water supply was assessed as applied to RK groundwater. Taking into account the fact that statistics are presented with a breakdown into administrative regions, and distribution of geological formations is not limited by borders of surface water flow basins or national frontier, GIS-assessment of groundwater resources and water demand of population and economy branches are given in this article by administrative territory system and hydro-economicadministrative zoning of Kazakhstan. As the result of appraising the Kazakhstan administrative regions’ degree of water supply, it was shown that by proven reserves of drinking and service water, the Republic as a whole belongs to countries with a reliable supply of proven drinking and service groundwater reserves, Atyrau and North-Kazakhstan regions are identified as experiencing deficit, and Mangistau and Akmola – as partially supplied. While assessing the degree of supply within limits of hydro-economic basins a conclusion was made that the highest degree of supply with own groundwater resources has Balkhash-Alakol and Yertis (Irtysh) basins. Those experiencing deficit of groundwater is Tobol-Torgai, Nura-Sarysu, and Yesil basins. This research has been funded by the Ministry of Ecology, Geology, and Natural Resources of the Republic of Kazakhstan (Grant No. BR10262555). © 2022, National Academy of Sciences of the Republic of Kazakhstan. All rights reserved.DOI
10.32014/2518-170X.234Тип публикаций
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