Estimation of water consumption in the downstream agricultural area of Hasanlu Dam using METRIC algorithm

Document Type : Research Paper

Authors

1 M.Sc. of Remote Sensing, Researcher of Remote Sensing Research Center (RSRC), Sharif university of Technology, Tehran, Iran.

2 Associate professor, Department of Renewable Energies and Environment, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.

3 Professor, Director of Remote Sensing Research Center (RSRC), Faculty of Civil Engineering, Sharif university of Technology, Tehran, Iran.

Abstract

Irregular development of agricultural areas, crops planting with high water need in the Urmia Lake Basin and also low irrigation efficiency have caused a significant reduction in the lake surface in recent years, so estimating water consumption in agriculture can be efficient in both accurate agriculture management and water resources management. In this context, by using METRIC algorithm and Landsat 8 and MODIS satellite images, the actual evapotranspiration have been estimated for a part of the Urmia Lake basin - Hasanlu dam downstream - in the year 2015 and 2016. Therefore, by considering the percipitation at Naghadeh station as the representative of percipitation in the study area, the valoum of irrigation water used in the agricultural area downstream of Hasanlu Dam was estimated. Then, the valoum of water allocated to this dam and estimation water volume was compared to the WaPOR product. The estimated values for Landsat 8 are 468 and 315 mm and for MODIS, 240 and 208 mm for 2015 and 2016, respectively. The estimated usage of the METRIC algorithm is significantly different from the allocated values and the WaPOR system. The estimated values are far higher than the ground statistics and the WaPOR system for nearly all months of the two years. The difference between METRIC and ground statistics and WaPOR product in the study area is calculated equal 23 and 26.6 million cubic meters, respectively.

Keywords

Main Subjects

References

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Water and Irrigation Management
Volume 12, Issue 1
April 2022
Pages 171-185

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