بررسی فرونشست دشت کبودراهنگ بر مبنای تکنیک تداخل سنجی راداری و تغییرات تراز آب های زیرزمینی

نویسندگان

1 گروه مهندسی آب/دانشکده کشاورزی/دانشگاه بوعلی سینا/همدان/ایران

2 گروه مهندسی آب/دانشکده کشاورزی/دانشگاه بوعلی سینا

3 دانشیار دانشکده کشاورزی و محیط زیست؛ دانشگاه شیراز

چکیده

فرونشست با توجه به ماهیت زمین شناسی و ارتباط آن با بهره‌برداری از آبهای زیرزمینی مورد توجه محققین حوزه های مدیریت منابع آب و زمین شناسی قرار گرفته است. در این راستا بررسی فرونشست آبخوان کبودراهنگ در استان همدان با استفاده از تکنیک تداخل سنجی راداری و بررسی تغییرات آب زیرزمینی این دشت مورد مطالعه قرار گرفت. از سویی ارتباط بین فرونشست و تغییرات آب زیرزمینی با استفاده از روابط رگرسیونی در نظر گرفته شد. نتایج حاکی از فرونشست دشت طی سالیان 1393 تا 1398 به میزان 124/7 میلیمتر و نرخ متوسط 13 میلیمتر در هر 6 ماه بود. با توجه هدایت هیدرولیکی متفاوت آبخوان در کنار ساختارهای زمین شناسی متفاوت دشت، بین بهره‌برداری از آب زیرزمینی و پدیده فرونشست تأخیر وجود داشت که با استفاده از رگرسیون تأخیری، زمان تأخیر فرونشست و بهره برداری از آب زیرزمینی به میزان متوسط 1/5 سال تعیین گردید. همچنین تأثیر بیشتر فرونشست بر اراضی کشاورزی به دلیل بهره‌برداری از آب زیرزمینی به منظور کشت مورد تأکید قرار گرفت.

کلیدواژه‌ها

عنوان مقاله [English]

Investigation of Kabudrahang Plain Subsidence Based on Interferometric Synthetic Aperture Radar Technique and Groundwater level Changes

نویسندگان [English]

  • Adel Ghasemi 1
  • Omid Bahmani 1
  • Samira Akhavan 2
  • Hamid Reza Pourghasemi 3
1 Department of Water Engineering, Faculty of Agriculture, Bu Ali Sina University, Hamedan, Iran
2 Department of Water Engineering, Faculty of Agriculture, Bu Ali Sina University, Hamedan, Iran
3 Department of Natural Recourses and Environmental Engineering, Faculty of Agriculture, Shiraz University, Shiraz,, Iran
چکیده [English]

Investigation of Kabudrahang Plain Subsidence Based on Interferometric Synthetic Aperture Radar Technique and Groundwater level Changes
Adel Ghasemi1, Omid Bahmani2*, Samira Akhavan3, Hamid Reza Pourghasemi4

1. Ph.D. student, Dept of Water Engineering, Bu-Ali Sina University, Hamedan, Iran
2. Assist. Prof., Dept of Water Engineering, Bu-Ali Sina University, Hamedan, Iran.
3. Assist. Prof., Dept of Water Engineering, Bu-Ali Sina University, Hamedan, Iran.
4. Assoc. Prof., Dept of Natural Recourses and Environmental Engineering, University of Shiraz, Shiraz, Iran.
*Corresponding Author Email: omid.bahmani@basu.ac.ir

Extended abstract

Background and Objectives
Iran is located in an arid and semi-arid climate with an average rainfall of about 239.3 mm during five years ago. There are many challenges for decision-makers in terms of supplying water for agriculture, industry, and drinking. On the other hand, lack of comprehensive decision-makers, along with lack of awareness of beneficiaries of the consequences of excessive use of groundwater resources, has led to land subsidence in most plains of the country. This issue, due to the nature of land cognition and its relation to the use of groundwater, has been considered by researchers in the fields of water resources management and geology. Land subsidence of Iran has been studied worldwide and the effects of groundwater abstraction have been determined at a high level compared to other factors. Hamedan province in the western part of Iran is not far from overuse of water and the effects of land subsidence, due to the extensive agricultural lands and agricultural hubs. In this regard, studying Kaboudrahang aquifer subsidence with its sinkholes (18 massive sinkholes) was selected as the study site in the northwest of Hamadan province. The hydrograph of the plain aquifer unit shows a profound drop in the groundwater level of the aquifer (40 meters) between the years 1988 and 2018.
Methodology
Regarding plain subsidence, some researches have been done. Accordingly, the radar interference technique in ENVI software was used to determine the amount of land subsidence and finally its output expressed in GIS software. To use this method, 11 Sentinel satellite images from 2014 to 2019 were selected and groundwater changes in 49 observation wells were studied. To investigate land subsidence and groundwater changes, the relation between land subsidence rate and groundwater level drop was examined through a regression analysis, as well as several observation wells that have a reduction in the date of the last satellite image relative to the water level. A regression analysis was selected between the water level drop and land subsidence rate and between the water level drop and the cumulative land subsidence obtained by radar interferometry during the period. To investigate in more detail, the effect of groundwater abstraction in each observation well and the relationship between land subsidence and its changes over time have also been investigated. On the other hand, land subsidence is delayed according to some research on groundwater exploitation, which varies due to the different hydraulic conductivity of the aquifer along with the different geological structures of the plain. Lag regression was used as a simple tool to determine the lag time between groundwater exploitation and land subsidence.
Findings
The study results showed that during the years 2014 to 2019, the land subsidence of the plain was 124.7 mm and an average rate was 13 mm every six months. Positive and negative values were observed in the land subsidence rate map in which positive values indicate upward radar visibility and negative values are related to radar visibility or subsidence. In general, across the plain, there is no equal correlation between subsidence rate and groundwater level decline. Its main reason can be found in the difference of geological structures and diverse soil texture throughout the plain, which has led to different responses to groundwater exploitation. Wells that had a drop in water level between the first and last satellite image show a decreasing trend of land subsidence rate and cumulative land subsidence. This indicates a decrease in the power of land subsidence in the utilization of water over time. The reason is that groundwater passed through subsidence-sensitive layers, after which the effect on land subsidence is reduced. The lag time of subsidence and operation of groundwater was determined as an average of 1.5 years.

Conclusion
Based on the analysis of this research, more significant impact of land subsidence on agricultural lands can be identified due to the use of groundwater. On the other hand, there is need for proposals and solutions to reduce the rate of land subsidence, and so it is recommended to change the cultivation pattern, to control surface water with artificial recharge, and to create deep plowing in agricultural areas to increase permeability.

کلیدواژه‌ها [English]

  • lag time
  • Groundwater
  • InSAR
  • Kabudrahang plain
  • Land subsidence

مراجع

Abbasi D and Khani M, 2015. Investigation of the sinkholes of Kaboudrahang plain (Hamadan province) First   International Conference on Geographical Sciences. Kharazmi Higher Institute of Science and Technology. 6 August.Shiraz (In Persian with English abstract)  
Abdollahi S, Pourghasemi HR, Ghanbarian GA and Safaeian R, 2019. Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions. Bulletin of Engineering Geology and the Environment, 78(6):4017-4034.
Aghai AK, 2015.Survey of land subsidence–case study: The land subsidence formation in artificial recharge ponds at South Hamadan Power Plant, northwest of Iran‏. Journal of Earth System Science. 124:261–268.
Alipour S, Motgah M, Sharifi MA and Walter TR, 2008. InSAR time series investigation of land subsidence due to groundwater overexploitation in Tehran, Iran. Pp. 1-5. Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas . IEEE. November, Tehran, Iran.
Amira Ahmadi A, Maali Ahri N and Ahmadi, T, 2013. Determining the possible subsidence areas of Ardabil plain using GIS. Journal of Geography and Planning 17: 1 - 23 (In Persian with English abstract).
Amiri R, Rezaei Y, Heidari Mozaffar, M and Jirani A, 2019. Investigation of the relationship between hydrological factors and groundwater level decline in Kaboudrahang plain using satellite imagery and GIS. Fourth International Conference on Agricultural Development, Natural Resources, Environment and Tourism of Iran. University of Tabriz (In Persian with English abstract).
Babaee SS, Mouavi Z and Roostaei M, 2016 .Time series analysis of SAR images using small baseline subset (SBAS) and persistent scatterer (PS) approaches to determining subsidence rate of Qazvin Plain. Journal of Geomatics Science and Technology. 5 (4):95-111 (In Persian with English abstract).
Carbognin L, Teatini P and Tosi L, 2004. Eustacy and land subsidence in the Venice Lagoon at the beginning of the new millennium, Journal of Marine systems. 51(1-4): 345-353.
Chatterjee R, Fruneau B, Rudan t J, Roy P, Frison P and Lakhera R, 2006 .Subsidence of Kolkata (Calcutta) city, India during the 1990s as observed from space by Differential Synthetic Aperture Radar Interferometry (D-InSAR) technique, India: Remote Sensing of Environment 102: 176-185.
Chang CP, Chang TY, Wang CT, Kue CH and Chen KS, 2004. Land surface deformation corresponding to seasonal ground-water fluctuation, determining by SAR interferometry in the SW Taiwan, Mathematics and Computers in Simulation. 67: 351-359.
Chavoshian M, Hosseini Kh and Khodaian S, 2011. Investigation of the relationship between groundwater level drop and sinkhole phenomenon F. A case study of Kaboudrahang and Famenin plains. Sixth National Congress of Civil Engineering.Semnan University, 26- 27 April, Semnan, Iran.  (In Persian with English abstract).
Chen B, Gong H, Lei K, Li J, Zhou C, Gao M, Guan H and Lv W, 2019. Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China. International Journal of Applied Earth Observation and Geoinformation 75:54-67.
Chen J, Knight R, Zebker HA and Schreüder WA, 2016. Confined aquifer head Measurements and storage properties in the San Luis Valley, Colorado, from spaceborne InSAR observations. Water Resources Research, 52 (5): 3623-3636.
Dehghani, M, Valadan Zoej MJ, Entezam I, Mansourian A and Saatchi S, 2009. InSAR monitoring of progressive land subsidence in Neyshabour northeast Iran. Geophysical Journal International 1:47-56.
Dong S, Samsonov S, Yin H, Ye S and Cao Y, 2014. Time-series analysis of subsidence associated with rapid urbanization in Shanghai, China measured with SBAS InSAR method. Environmental Earth Sciences, 72(3): 677-691.
Eggleston J and Pope J, 2013. Land subsidence and relative sea-level rise in the southern Chesapeake Bay region. US Geological Survey Circular, 1392, 30 p. https://dx.doi.org/10.3133/cir1392.
Fanni Z and Ghashami SM, 2019. Zoning and spatial analysis of the susceptibility of four environmental hazards: Landslide, Flood, Earthquake and Subsidence (Case study: 22 Districts of Tehran). Scientific-Research Quarterly of Geographical Data, 27(108):77-89 (In Persian with English abstract)
Gao M, Gong H, Chen B, Li X, Zhou C, Shi M, Si Y, Chen Z and Duan, G,2018 .Regional land subsidence analysis in eastern Beijing plain by InSAR time series and wavelet transforms. Remote Sensing 10 (3): 365.
Ganjaiyan H, Ghasemi A, Ebrahimi A and Asadpour Z, 2019. Evaluation of Hamedan-Bahar plain subsidence using SBAS time series method. Geographical Studies of Arid Regions. 9(36):62-73. (In Persian with English abstract).
 Gharechelou S, Akbari Ghoochani H, Golian S and Ganji K, 2021. Evaluation of land subsidence relationship with groundwater depletion using Sentinel-1 and ALOS-1 radar data (Case study: Mashhad plain). Journal of RS and GIS for Natural Resources, 12(3):40-61. http://dorl.net/dor/20.1001.1.26767082.1400.12.1.1.2
 
Goldstein RM and Werner CL, 1998. Radar interferogram filtering for geophysical applications.Geophysical Research Letters 25 (21):4035-4038.
Haghighatmehr P, Valadan Zoj MJ, Tajik R, Jabbari S, Sahebi MR, Islami R, Ganjian M and Dehghani M, 2012. Analysis of Hashtgerd subsidence time series using radar interference method and global positioning system. Journal of Earth Sciences, 22 (85):105-114 (In Persian with English abstract).
Hanssen RF, 2001. Radar Interferometry: Data Interpretation and Error Analysis (Vol. 2). Springer Science & Business Media.
Jafari Gh and Mohammadi H, 2018. Landslide hazard zoning using control weight method, Case study of Kaboudrahang-Famenin plain. Journal of Spatial Analysis, Environmental Hazards. 6 (3): 71-88(In Persian with English abstract)
Karimi H and Taheri K, 2010. Hazards and mechanism of sinkholes on Kabudar Ahang and Famenin plains of Hamadan, Iran. Natural Hazards 55:481–499.
Karimzadeh S, 2016. Characterization of land subsidence in Tabriz (NW Iran) using watershed and InSAR analyses, Acta Geodaetica Geophysics 51: 181–195.
Khanlari Gh, Heidari M, Momeni, AA, Ahmadi M and Taleb Beydokhti A, 2012. The effect of groundwater overexploitation on land subsidence and sinkhole occurrences, western Iran Quarterly .Journal of Engineering Geology and Hydrogeology 45: 447-456.
Lashkaripour Gh, 2008. Investigation of land subsidence in Neishabour plain and its relationship with groundwater level decline, research project of Khorasan Regional Water Company, Ferdowsi University of Mashhad, 9 pages (In Persian)  
Lashkaripour Gh, Ghafouri M, Peyvandi Z and Sweezy Z, 2005. Groundwater level drop and landslide in Mashhad plain. Proceedings of the Ninth Conference of the Geological Society of Iran, 8-9 September, Isfahan (In Persian with English abstract)
Lashkaripour Gh, Ghafoori M and Rostami Barani HR, 2009. An investigation on the mechanism of earth-fissures and land subsidence in the western part of Kashmar Plain. Scientific Semiannual Journal Sedimentary Facies, 1(1):95-111 (In Persian with English abstract)
Marikhpour M, Mousavi M, Khamechian M and Safari Kamil M, 2012. Groundwater drop modeling in Kaboudrahang plain of Hamadan using PMWIN software. National Conference on Water and Wastewater Engineering. Graduate University of Industrial and Advanced Technology. Kerman, Iran. (In Persian with English abstract).
Mehrabi A and Ghazanfarpour H, 2018. Monitoring surface elevation changes of Kerman City and prediction of high-risk areas using ASAR and SENTINEL1 radar images. Journal of Geology and Environmental Hazards 8(2):167-182, doi: 10.22067/GEO.V0I0.77132.
Mirasi S and Rahnama H, 2016. Analysis and evaluate the effective parameters on land subsidence.
Modares Civil Engineering Journal. 16 (1): 45-54 (In Persian with English abstract)
Motagh M, Djamour Y, Walter TR, Wetzel HU, Zschau J and Arabi S, 2007. Land subsidence in Mashhad Valley, northeast Iran: results from InSAR, levelling and GPS. Geophysical Journal International 168: 518-526.
Motagh M, Walter TR, Sharifi MA, Fielding E, Schenk A and Anderssohn J, 2008. Land subsidence in Iran caused by widespread water reservoir overexploitation. Geophysical Research Letters 35:L16403, doi: 10.1029/2008GL033814.
Nazari Khorram A and Rezaei Y, 2018. Investigating the relationship between groundwater leakage and soil moisture changes in Kaboudarahang Plain Hamedan .The First National Conference on Water Resources Management Strategies and Environmental Challenges. Sari University of Agricultural Sciences and Natural Resources,30 April. Mazandaran, Iran (In Persian with English abstract).
Pakravan Sh, 2005. Investigation of the phenomenon of land subsidence due to groundwater in the southwestern region of Tehran, MSc Thesis, University of Tehran  (In Persian with English abstract )  
Papi R, Attarchi S and Soleimani, M, 2020. Analysing time series of land subsidence in the West of Tehran Province (Shahriar Plain) and its relation to groundwater discharge by InSAR technique. Journal of Geography and Environmental Sustainability 34:109-128 (In Persian with English abstract)  
Rahmati O, Golkarian, A Biggs T, Keesstra S, Mohammadi F and Daliakopoulos IN, 2019. Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities. Journal of Environmental Management 236:466-480.
Raucoules D, Maisons C, Carnec C, Le Mouelic S, King C and Hosford, S,2003. Monitoring of slow ground deformation by ERS radar interferometry on the Vauvert salt mine (France): Comparison with ground-based measurement. Remote Sensing of Environment 88(4): 468-478.
Rizeei HM, Pradhan B, Saharkhiz MA and Lee S, 2019. Groundwater aquifer potential modeling using an ensemble multi-adoptive boosting logistic regression technique. Journal of Hydrology, 579: 124172.
Roohi M, Faeli M, Irani M and Shamsaei E, 2021. Calculation of land subsidence and changes in soil moisture and salinity using remote sensing technique. Environmental Earth Sciences 80:423. https://doi.org/10.1007/s12665-021-09723-2.
Regional Water Company of Hamedan (RWCH) 2020. Basic research reports of the Hamedan province water resources. 204pp (In Persian).
Scanlon BR, Reedy RC, Baumhardt RL and Strassberg G, 2008. Impact of deep plowing on groundwater recharge in a semiarid region: Case study, High Plains, Texas .Water Resources Research, 44:W00A10, doi: 10.1029/2008WR006991.
Shadfar S, Nasiri E, Chitgar S and Ahmadi A, 2016. Hazard zonation of land subsidence using analytical hierarchy process (AHP), Case study (city of Buin Zahra) Geographical Journal of Territory 12(48):101-116.  (In Persian with English abstract).
Sheikh Ahmadi P, Motaq M and Akbari, B, 2017. Investigation of Land subsidence phenomena in Hamedan Plain using radar interference satellite images. 8th International Conference on Comprehensive Crisis Management, 14-15 February, Tehran (In Persian with English abstract).
Tabatabai ST, 2006. Prediction and zoning of groundwater subsidence due to groundwater abstraction in Rafsanjan, M.Sc. Thesis, Shahid Bahonar University of Kerman  (In Persian with English abstract )  
Yun Y, Zeng Q, Green B, W and Zhang F, 2015. Mitigating atmospheric effects in InSAR measurements through high-resolution data assimilation and numerical simulations with a weather prediction model. International Journal of Remote Sensing, 36(8):2129-2147.
Zamanirad M, Sarraf A, Sedghi H, Saremi A and Rezaee P, 2019. Modeling the influence of groundwater exploitation on land subsidence susceptibility using Machine Learning Algorithms. Natural Resources Research (29):1127–1141.
Zhou C, Gong H, Chen B, Gao M, Cao Q, Cao J, Duan L, Zuo J and Shi M , 2020. Land subsidence response to different land use types and water resource utilization in Beijing-Tianjin-Hebei, China. Remote Sensing 12(3): 457. https://doi.org/10.3390/rs12030457.
Zhou Z, 2013. The applications of InSAR time series analysis for monitoring long-term surface change in peatlands, PhD Thesis, University of Glasgow.
 
 
دانش آب و خاک
دوره 33، شماره 2
تیر 1402
صفحه 183-201

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