Analyzing Spatiotemporal Relationship between Land-Use Changes and Groundwater Quantity in Ardabil Plain

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and Objectives

Understanding spatiotemporal relationship between Land use/cover changes (LUCCs) and groundwater quantity changes is vital to efficient and sustainable restricted plain management. This study aims to analyze relationship between LUCCs and groundwater quantity changes in the Ardabil restricted plain.

Method

The land use maps were extracted and classified from four Landsat images for 1989, 1998, 2009, and 2014. Then the classified images accuracy was assessed. The groundwater depth distribution maps extracted from piezometric data using Kriging method for the same times. REGRESS and CORRELATE modules in Idrise Selva package used to analyze relation between LUCCs and groundwater depth changes in the study area.

Findings

Results indicated the incremental trend in human built environment (5.1%) and agricultural land (10.57%) at the expense of decreasing in bare land (14.78%) and forestland (0.88%). The average groundwater depth decline was about 6.27 meters over past studied 25 years. All the obtained R values from REGRESS model were between 0.35 and 0.54 for different studied periods. The R2 values from CORRELATE for each cells confirmed the direct spatiotemporal relationship between the occurred LUCCs and groundwater quantity changes within the study area.

Discussion and Conclusion

This study shows the ability of RS and GIS techniques alongside statistical models based on regression analyzing is useful to analyze relation between dynamic LUCCs and groundwater depth changes. The results and applied approach can be useful in efficient management, planning and policy making of restricted plains and also in identifying priority zones for land use and groundwater management.

Language:
Persian
Published:
Journal of Environmental Sciences and Technology, Volume:22 Issue: 7, 2020
Pages:
301 to 317
magiran.com/p2261422  
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