E3S Web Conf.
Volume 223, 2020Regional Problems of Earth Remote Sensing (RPERS 2020)
|Number of page(s)||6|
|Section||Models and Methods of Remote Sensing Data Processing|
|Published online||21 December 2020|
Irrigation cooling effect: opportunities in task of estimation of international irrigation water usage in transboundary River Syrdarya basin, Central Asia
1 Institute of information and computing technology MES, Almaty, 050010, Kazakhstan
2 RSE Kazhydromet, Almaty, 050022, Kazakhstan
3 al-Farabi Kazakh National university, Almaty, 050040, Kazakhstan
* Corresponding author: firstname.lastname@example.org
The aim of this research was the analysis of long-term and seasonal dynamics of Irrigation Cooling Effect (ICE) of irrigated arable lands in test sites of Kazakhstan and Uzbekistan in agriculture province “Golodnaya stepp”, located in transboundary River Syrdarya basin. The Land Surface Temperature (LST) FEWS NET (Famine early Warning System Network) product was used for calculation and monitoring (2002- 2019) ICE values. The amount and efficiency of irrigation water usage significantly affects the ICE values. Therefore, long-term (2002-2019) ICE monitoring on arable land Kazakhstan and Uzbekistan in “Golodnaya stepp” is important as an objective characteristic of irrigation parameters and their changes during the observation period. Analysis of data from 2002-2019 showed that in the key period (May-June) Uzbekistan's arable land is in a better position. Review of two eras 2003-2010 and 2011-2019 it showed that changes in ICE values are directed at: an increase in May, approximately 2.5° in Uzbekistan and 1.3° in Kazakhstan; an increase in July, 1.3° in Uzbekistan and 2.5° degrees in Kazakhstan; and a decrease in September, approximately 1.5° in Kazakhstan, with stable values in Uzbekistan. Thus, ICE monitoring in arid climates is a useful tool for diagnosing water consumption on arable land in various countries, which is especially important in transboundary river basins.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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