عنوان مقاله [English]
The purpose of this study is to measure the impact of agricultural land-use change on the process of reducing the water level of Urmia Lake and accelerate its land process. The data used in this research include Landsat satellite images in the period 2000 to 2020 and statistics and information of water sources entering the lake of Urmia Lake Rehabilitation Headquarters, which are classified by SVM, Kappa Coefficient algorithms in ENVI5.3 software and Validated and then using Arc-GIS software to determine the extent of user changes. Finally, after determining the number of changes in each land use, the amount of water required for each type of cultivation was calculated based on the climatic type and soil characteristics of the city by the NETWAT model. The satellite images show that in the period, the research aimed to change the cultivation pattern from irrigated agriculture to cropland, from an area of 395 km3 in 2000 to 688 km3 in 2020. The outputs of the NETWAT model also show that due to the change in the land-use area of agricultural lands and the change in the cultivation pattern, the amount of water consumption required in the agricultural sector has almost doubled in the growth period, from 1600 million cubic meters in 2000. It reached 2900 million cubic meters in 2020. This increase in consumption needs has eliminated the surface flow of rivers and lowered the groundwater level of the basin, which is the main reason for reducing the volume of water entering Urmia Lake.