Мақола

Study of climate change patterns of the Kashkadarya River basin based on GIS technologies

Abdulkhakim Salokhiddinov“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39 Str.K.Niyazov, 100000 Tashkent, UzbekistanJakhongirmirzo Mirzaqobulov“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39 Str.K.Niyazov, 100000 Tashkent, UzbekistanMaria Radkevich“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39 Str.K.Niyazov, 100000 Tashkent, UzbekistanBakhodirkhodja Ismailkhodjaev“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39 Str.K.Niyazov, 100000 Tashkent, UzbekistanZulkhmor AlibayevaThe state committee of the Republic of Uzbekistan for ecology and environment protection, The Tashkent city department, Bunyodkor ave., 7-A, Chilanzar district, Tashkent city, UzbekistanErali Abdumajidov“Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39 Str.K.Niyazov, 100000 Tashkent, Uzbekistan

E3S Web of Conferencesjournal2023en

ABI

Аннотация

The article deals with the problem of studying changes in some climatic indicators (temperature, precipitation) in the Kashkadarya River basin. For this purpose, the analysis of land surface temperature and area of snow and ice cover on Landsat 8 images was used. Comparison of the obtained results with the results of analysis of archival data of Uzhydromet and water level data of gauging stations showed that the growth rate of average annual temperatures in Kashkadarya province is 0.21oC, and the rate of reduction of snow-ice cover area is 1% per year. in general, which has decreased over the past 15 years, by 75%. Such trends may lead to a significant reduction in the river flow of the Kashkadarya River in the coming years.

Ҳали таржима қилинмаган

Мавзулар

Engineering and Agricultural Innovations Water Resources and Management Advanced Computational Techniques in Science and Engineering

Идентификаторлар

DOI: 10.1051/e3sconf/202338606006

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