4.7 Article

Comparison of Crop Evapotranspiration and Water Productivity of Typical Delta Irrigation Areas in Aral Sea Basin

Journal

REMOTE SENSING
Volume 14, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/rs14020249

Keywords

surface energy balance algorithm for land (SEBAL); actual evapotranspiration; agricultural water consumption; the Aral Sea; the FAO Penman-Monteith equation

Funding

  1. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA20060301]
  2. National Natural Science Foundation of China [42071245]
  3. International Partnership Program of the Chinese Academy of Sciences [131551KYS B20160002]
  4. K.C.Wong Education Foundation [GJTD-2020-1]
  5. CAS Interdisplinary Innovation Team [JCTD-2019-20, 2021r020]

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This study compares two irrigation areas in the inland river basins of Central Asia to reveal the differences in water resource dissipation, water productivity, and its influencing factors. The results show significant differences in evapotranspiration and water productivity between the two irrigation areas, providing important insights for agricultural water management in the Aral Sea region.
The intensity of agricultural activities and the characteristics of water consumption affect the hydrological processes of inland river basins in Central Asia. The crop water requirements and water productivity are different between the Amu Darya and Syr Darya river basins due to the different water resource development and utilization policies of Uzbekistan and Kazakhstan, which have resulted in more severe agricultural water consumption of the Amu Darya delta than the Syr Darya delta, and the differences in the surface runoff are injected into the Aral Sea. To reveal the difference in water resource dissipation, water productivity, and its influencing factors between the two basins, this study selected the irrigation areas of Amu Darya delta (IAAD) and Syr Darya delta (IASD) as typical examples; the actual evapotranspiration (ETa) was retrieved by using the modified surface energy balance algorithm for land model (SEBAL) based on high spatial resolution Landsat images from 2000 to 2020. Land use and cover change (LUCC) and streamflow data were obtained to analyze the reasons for the spatio-temporal heterogeneity of regional ETa. The water productivity of typical crops in two irrigation areas was compared and combined with statistical data. The results indicate that: (1) the ETa simulated by the SEBAL model matched the crop evapotranspiration (ETc) calculated by the Penman-Monteith method and ground-measured data well, with all the correlation coefficients higher than 0.7. (2) In IAAD, the average ETa was 1150 mm, and the ETa had shown a decreasing trend; for the IASD, the average ETa was 800 mm. The ETa showed an increasing trend with low stability due to a large amount of developable cultivated land. The change of cultivated land dominated the spatio-temporal characteristics of ETa in the two irrigation areas (3). Combined with high spatial resolution ETa inversion results, the water productivity of cotton and rice in IAAD was significantly lower than in IASD, and wheat was not significantly different, but all were far lower than the international average. This study can provide useful information for agricultural water management in the Aral Sea region.

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