• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Temporal Analysis of Land Subsidence and Groundwater Depletion Using the DInSAR and Kriging Methods: A Case Study and Insights

    Thumbnail
    View/Open
    10.1061-JHYEFF.HEENG-6130.pdf (10.23Mb)
    Date
    2024/06/01
    Author
    Nazanin Shahkarami
    Metadata
    Show full item record
    Abstract
    In recent years, rising demands for water resources have led to extensive groundwater exploitation, particularly in arid and semiarid regions, triggering land subsidence. The Arak Plain, located in Iran’s Markazi Province, a vital area for agriculture and industry, has recently faced significant subsidence due to excessive groundwater extraction. This study investigates the correlation between land subsidence and declining groundwater levels in this plain. To assess land subsidence, the differential interferometry synthetic aperture radar (DInSAR) method was employed, utilizing high-accuracy Sentinel 1 IW SLC C-band products. The analysis was conducted using the SNAP open-source software from 2016 to 2021. Groundwater level declines from 2005 to 2021 were determined using universal kriging with an exponential semivariogram. Subsequently, a comparison between subsidence rates and piezometric levels was conducted. The analysis revealed continuous increase in the rate and extent of subsidence over time, with the highest annual subsidence occurring in 2020 (9  cm/year) and extensive subsidence at a rate of approximately 5.5  cm/year in most areas of the plain in 2021. Additionally, the southern and southwestern regions of the Mighan Playa exhibit remarkable subsidence due to groundwater level declines. This distinctive subsidence pattern results from geological structure and specific environmental conditions. The findings of this research demonstrate that, while excessive groundwater extraction is not the sole cause of subsidence, it remains one of the primary contributing factors. In light of these results, urgent implementation of effective measures is crucial for the long-term sustainable management of groundwater resources in the Arak Plain. In arid and semiarid regions, the growing demand for water resources has resulted in excessive groundwater extraction, leading to land subsidence. This poses significant risks to above-ground and underground infrastructure, such as buildings, railways, and utility lines. The Arak Plain, in Iran’s Markazi Province, a key area for agriculture and industry, has experienced notable subsidence due to excessive groundwater extraction. This study employs remote sensing, a technical method for assessing subsidence, using open-source software from 2016 to 2021. The decline in groundwater levels from 2006 to 2021 was determined, and a comparison of subsidence rates and groundwater levels was conducted. The analysis revealed a continuous increase in the rate and extent of subsidence over time. The highest annual subsidence occurred in 2020 (9  cm/year), with most areas of the plain experiencing significant subsidence at a rate of approximately 5.5  cm/year in 2021. This research highlights that, while excessive groundwater extraction is not the sole driver of subsidence, it is a significant contributing factor. These findings emphasize the importance of implementing effective measures for sustainable management of groundwater resources in the Arak Plain.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4297701
    Collections
    • Journal of Hydrologic Engineering

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV