Monitoring of land subsidence due to excessive groundwater extraction using small baseline subset technique in Konya, Turkey

被引:0
|
作者
Osman Orhan
机构
[1] Mersin University,Faculty of Engineering, Department of Geomatics Engineering
来源
关键词
GNSS; Groundwater; InSAR; Land subsidence; Sinkhole;
D O I
暂无
中图分类号
学科分类号
摘要
Konya, which is located within the Konya Closed Basin, is the most important agricultural production region in Turkey. The future of agriculture is threatened in this region due to the decline in groundwater levels and the intensive agricultural activities that require high water consumption and are not suitable to the climate conditions of the region. In addition to these parameters, the geological structure of Konya also poses various environmental problems such as land subsidence and sinkhole formation. This study aimed to investigate the causes of the land subsidence problem in Konya and its surroundings with the help of the interferometric synthetic aperture radar (InSAR) technique and auxiliary data, namely optic, Coordination of Information on the Environment (CORINE), and groundwater monitoring station data. In order to investigate the land subsidence in the study area, 58 Sentinel-1A images acquired between 2014 and 2018 were processed by using the small baseline subset (SBAS) technique. In addition, the time series derived from the SAR data was validated by a global navigation satellite system (GNSS) station located in the study area. The results revealed that severe land subsidence, some of which reached 75 mm/year, occurred in certain areas of the study area over a period of three and a half years. High consistency was found between the land subsidence and the groundwater level change observed in the region, with a cross-correlation of over 95%. Moreover, the temporal and spatial patterns of the cultivated area and urbanization, which are the main reasons for the consumption of groundwater in the region, were revealed using the optic data.
引用
收藏
相关论文
共 50 条
  • [21] Land subsidence monitoring using InSAR technique in the southwestern region of Bangladesh
    Sarker, Md. Shahoriar
    Kamal, A. S. M. Maksud
    Rahman, Md. Zillur
    Fahim, Abul Kashem Faruki
    GEOMATICS NATURAL HAZARDS & RISK, 2024, 15 (01)
  • [22] Monitoring of land subsidence by combining small baseline subset interferometric synthetic aperture radar and generic atmospheric correction online service in Qingdao City, China
    Li, Xuepeng
    Tao, Qiuxiang
    Chen, Yang
    Hou, Anye
    Liu, Ruixiang
    Xiao, Yixin
    JOURNAL OF APPLIED REMOTE SENSING, 2024, 18 (01)
  • [23] Land motion detection in central Rwanda using small baseline subset interferometry
    Ghzala, Khalid
    Tounsi, Yassine
    Muhire, Desire
    Nassim, Abdelkrim
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2021, 21
  • [24] Small baseline subset InSAR technology used in Datong basin ground subsidence, fissure and fault zone monitoring
    Zhang, Qin, 1600, Editorial Board of Medical Journal of Wuhan University (39):
  • [25] Investigation of land subsidence due to groundwater withdraw in Rafsanjan plain using GIS software
    Rahnama, M. B.
    Moafi, H.
    ARABIAN JOURNAL OF GEOSCIENCES, 2009, 2 (03) : 241 - 246
  • [26] Land subsidence and uplift due to long-term groundwater extraction and artificial recharge in Shanghai, China
    Zhang, Yun
    Wu, Jichun
    Xue, Yuqun
    Wang, Zhecheng
    Yao, Yiguang
    Yan, Xuexin
    Wang, Hanmei
    HYDROGEOLOGY JOURNAL, 2015, 23 (08) : 1851 - 1866
  • [27] Investigation of land subsidence due to groundwater withdraw in Rafsanjan plain using GIS softwareالتحقيق في هبوط الأرض نتيجة لسحب المياه الجوفية في سهل رفسنجان البرمجيات باستخدام نظم المعلومات الجغرافية
    M. B. Rahnama
    H. Moafi
    Arabian Journal of Geosciences, 2009, 2 (3) : 241 - 246
  • [28] A technique for quantifying groundwater pumping and land subsidence using a nonlinear stochastic poroelastic model
    Shih-Jung Wang
    Cheng-Haw Lee
    Kuo-Chin Hsu
    Environmental Earth Sciences, 2015, 73 : 8111 - 8124
  • [29] PS-InSAR Based Monitoring of Land Subsidence by Groundwater Extraction for Lahore Metropolitan City, Pakistan
    Hussain, Muhammad Afaq
    Chen, Zhanlong
    Zheng, Ying
    Shoaib, Muhammad
    Ma, Junwei
    Ahmad, Ijaz
    Asghar, Aamir
    Khan, Junaid
    REMOTE SENSING, 2022, 14 (16)
  • [30] A technique for quantifying groundwater pumping and land subsidence using a nonlinear stochastic poroelastic model
    Wang, Shih-Jung
    Lee, Cheng-Haw
    Hsu, Kuo-Chin
    ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (12) : 8111 - 8124