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<p>The geographical position of Iran has caused many of its plains, including the Kamyaran Plain, facing the risk of land subsidence. Given that land subsidence is associated with numerous destructive effects, this study assesses the status of land subsidence risk in the Kamyaran Plain and analyzes the factors influencing its occurrence. In this research, Sentinel-1 radar images, a 30-m SRTM DEM, and data related to the region’s piezometric wells were utilized as the primary research data. The main tools included GMT, ArcGIS, and IDRISI. Additionally, the most significant models used were the SBAS time series model, WLC-AHP, IDW, and Spilne. In this study, a subsidence map of the area was first prepared, and then its relationship with the status of groundwater resource depletion, as well as natural and human parameters, was analyzed. Based on the obtained results, the Kamyaran Plain experienced land subsidence ranging from 0 to 65 mm between 2020 and 2022. Considering that areas with maximum subsidence also exhibited maximum groundwater depletion, The correlation coefficients between groundwater depletion and land subsidence in the region, based on the bootstrap and Pearson methods, were approximately 60%. Furthermore, according to the results of the WLC-AHP models, the southern regions of the Kamyaran Plain have the highest potential for subsidence. Since the results from the SBAS method indicated this finding, there is a significant relationship between the radar images and the results obtained from the WLC-AHP model (pixel correlation 0.613). Therefore, based on environmental parameters, it is possible to identify areas susceptible to the risk of land subsidence to a considerable extent.</p>

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Analysis of the Role of Environmental Factors in the Occurrence of Land Subsidence of Kamyaran Plain in Western Iran

  • 期刊论文

  • 发表日期：

    2025年10月17日

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  • Seyyed Javad Hosseini,
  • Hamid Ganjaeian,
  • Amir Hasanvand,
  • Mozhgan Nosrati,
  • Kolsum Mohammadian,
  • Somayeh Zahabnazouri

摘要

The geographical position of Iran has caused many of its plains, including the Kamyaran Plain, facing the risk of land subsidence. Given that land subsidence is associated with numerous destructive effects, this study assesses the status of land subsidence risk in the Kamyaran Plain and analyzes the factors influencing its occurrence. In this research, Sentinel-1 radar images, a 30-m SRTM DEM, and data related to the region’s piezometric wells were utilized as the primary research data. The main tools included GMT, ArcGIS, and IDRISI. Additionally, the most significant models used were the SBAS time series model, WLC-AHP, IDW, and Spilne. In this study, a subsidence map of the area was first prepared, and then its relationship with the status of groundwater resource depletion, as well as natural and human parameters, was analyzed. Based on the obtained results, the Kamyaran Plain experienced land subsidence ranging from 0 to 65 mm between 2020 and 2022. Considering that areas with maximum subsidence also exhibited maximum groundwater depletion, The correlation coefficients between groundwater depletion and land subsidence in the region, based on the bootstrap and Pearson methods, were approximately 60%. Furthermore, according to the results of the WLC-AHP models, the southern regions of the Kamyaran Plain have the highest potential for subsidence. Since the results from the SBAS method indicated this finding, there is a significant relationship between the radar images and the results obtained from the WLC-AHP model (pixel correlation 0.613). Therefore, based on environmental parameters, it is possible to identify areas susceptible to the risk of land subsidence to a considerable extent.