سابِق|تال

The characteristics and evolution of surface deformation induced by agricultural irrigation in the Junggar Basin from the perspective of InSAR

  • role： First author第一作者
  • Affiliation：

    School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

    Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education, School of Geoscience and Infophysics,Central South University, Changsha 410083, China

    Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Changsha 410083, China

  • Email：wanghaiyan@csu.edu.cn
  • Introduction：王海艳，1993年生，女，硕士研究生，研究方向为农业区地表形变监测。E-mail：wanghaiyan@csu.edu.cn
WANG Haiyan123,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

    Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education, School of Geoscience and Infophysics,Central South University, Changsha 410083, China

    Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Changsha 410083, China

  • Email：fredgps@csu.edu.cn
  • Introduction：冯光财，1981年生，男，副教授，研究方向为InSAR在地震、滑坡、城市沉降等灾害方面的监测与反演。E-mail：fredgps@csu.edu.cn
FENG Guangcai123*,  
  • Affiliation：

    School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

    Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education, School of Geoscience and Infophysics,Central South University, Changsha 410083, China

    Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Changsha 410083, China

MIAO Lu123,  
  • Affiliation：

    School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

    Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education, School of Geoscience and Infophysics,Central South University, Changsha 410083, China

    Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Changsha 410083, China

TAN Ji123,  
  • Affiliation：

    School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

    Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education, School of Geoscience and Infophysics,Central South University, Changsha 410083, China

    Hunan Key Laboratory of Nonferrous Resources and Geological Hazards Exploration, Changsha 410083, China

XIONG Zhiqiang123

ملخص

Land subsidence disasters in excessively exploited cultivation areas are caused by groundwater-dependent irrigation, which has a strong influence on the rapid decline of water table, especially in arid and semiarid regions. Many depression cones appeared in the agricultural districts in Junggar Basin, due to groundwater overexploitation, over developed crop production, and large water consumption. However, the land subsidence information in this basin is limited.Interferometric Synthetic Aperture Radar (InSAR) technology, which has emerged in recent years, has been widely used in monitoring agricultural irrigation settlement, benefiting from its high precision, high resolution and wide temporal and spatial coverage. Small Baseline Subset (SBAS) algorithm selects high-quality image pairs obtained via D-InSAR after setting the threshold of time base and space baseline. In order to investigate the characteristics and evolution of the surface deformation induced by groundwater-dependent irrigation, we obtained the deformation information on the southern margin of the Junggar Basin and northern foothills of the Tianshan Mountains using ENVISAT/ASAR data (descending and ascending tracks) covering Hutubi County from 2003 to 2010. Data were processed utilizing time series InSAR technology based on GAMMA software and SBAS-InSAR technology.Results from two different tracks are consistent, which show two subsidence funnels were formed in the field area after 2007. In the study area, the traditional irrigation method and clockwise irrigation system may cause average subsidence rates of 50 and 30 mm/y, respectively. The subsidence rate of the traditional irrigation method shows a linear trend over time, while that of the clockwise irrigation system is closely related to the season. In winter, the ground uplift in the area with clockwise irrigation is approximately 40 mm, which is significantly larger than that of the field area with the traditional irrigation method. In summer, the land subsidence rate caused by the clockwise irrigation system was 200 mm/y.Therefore, groundwater overexploitation in agricultural irrigation is the major factor of land subsidence. Moreover, surface deformation during non-irrigation period is caused by groundwater recharge. Long-term extraction of groundwater for agricultural irrigation induces not only ground displacement but also serious soil salinization, which are unfavorable for crop growth and soil self-repair. Therefore, changing irrigation methods and improving the utilization of water resources are crucial. Spatial and temporal variation characteristics of land subsidence can provide a theoretical reference for the sustainable development of water resources and agriculture.

مفهوم

remote sensing;agricultural irrigation;surface deformation;InSAR;groundwater;Junggar Basin

References

  1. 1.
    Abdullin A, Xu W B, Kosmicki M and Jónsson S. 2015. Rapid groundwater-related land subsidence in Yemen observed by multi-temporal InSAR//Proceedings of EGU General Assembly. At Vienna, Austria: EGU
  2. 2.
    Arai R. 2009. Application of Synthetic Aperture Radar Interferometry (InSAR) in Defining Groundwater-Withdrawal-Related Subsidence, Diamond valley, Nevada. Reno: University of Nevada, Reno
  3. 3.
    Aziguli Y. 2007. Discussion on Xinjiang water utilization and agricultural sustainable development. Gansu Nongye, (1): 40-41
  4. 4.
    Berardino P, Fornaro G, Lanari R and Sansosti E. 2002. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40(11): 2375-2383
  5. 5.
    Chaussard E, Burgmann R, Shirzaei M and Baker B. 2013. Long-term and seasonal ground deformation in the Santa Clara Valley, California, revealed by multi decadal InSAR time series//Proceedings of AGU Fall Meeting Abstracts. [s.l.]: AGU
  6. 6.
    Chen J Y, Knight R, Zebker H A and Schreüder W A. 2016a. Confined aquifer head measurements and storage properties in the San Luis Valley, Colorado, from spaceborne InSAR observations. Water Resources Research, 52(5): 3623-3636
  7. 7.
    Chen J Y, Zebker H A and Knight R. 2015b. A persistent scatterer interpolation for retrieving accurate ground deformation over InSAR-decorrelated agricultural fields. Geophysical Research Letters, 42(21): 9294-9301
  8. 8.
    Chen P. 2002. Groundwater resource to be exploited and protected reasonablly in Xinjiang province. Groundwater, 24(3): 156-159
  9. 9.
    Choopani A, Dehghani M, Nikoo M R and Zeinali S. 2017. Time series analysis of InSAR data to study land subsidence induced by groundwater level decline in SIRJAN plain. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W4: 51-57
  10. 10.
    Ding X W. 2014. Analysis of the Junggar Basin water resources and land and water use conflicts. Jilin Water Resources, (4): 54-58
  11. 11.
    Han X S and Zhang F H. 2013. Study on water resources status and human-land relationship in Junggar Basin, Xinjiang. Yangtze River, 44(S1): 55-57
  12. 12.
    He Y, Zhao C Y and Zhang Q. 2016. InSAR monitoring result analysis of land subsidence in loess irrigation area. Shanghai Land and Resources, 37(1): 66-68, 81
  13. 13.
    Li Z Z and Han H L. 2014. Water resources utilization and oasis stability at Tian mountain northern foot—taking the Manasi river valley as example. Journal of Arid Land Resources and Environment, 18(8): 139-142
  14. 14.
    Lu F. 2016. Discussion on the rational exploitation and utilization of groundwater resources in Xinjiang. Energy and Conservation, (9): 99-100, 102
  15. 15.
    Motagh M, Shamshiri R, Haghighi M H, Wetzel H U, Akbari B, Nahavandchi H, Roessner S and Arabi S. 2017. Quantifying groundwater exploitation induced subsidence in the Rafsanjan plain, southeastern Iran, using InSAR time-series and in situ measurements. Engineering Geology, 218: 134-151
  16. 16.
    Reeves J A, Knight R and Zebker H A. 2014. An analysis of the uncertainty in InSAR deformation measurements for groundwater applications in agricultural areas. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(7): 2992-3001
  17. 17.
    Reeves J A, Knight R, Zebker H A, Schreüder W A, Agram P S and Lauknes T R. 2011. High quality InSAR data linked to seasonal change in hydraulic head for an agricultural area in the San Luis Valley, Colorado. Water Resources Research, 47(12): W12510
  18. 18.
    Sahu P and Sikdar P K. 2011. Threat of land subsidence in and around Kolkata city and east Kolkata wetlands, West Bengal, India. Journal of Earth System Science, 120(3): 435-446
  19. 19.
    Sharifi M, Motagh M, Aipour S, Akbari V, Walter T, Rajabi M, Samadzadegan F, Djamour Y and Sedighi M. 2008. InSAR time-series analysis of land subsidence due to groundwater overexploitation in groundwater basins of central and northeast Iran//Proceedings of AGU Fall Meeting Abstracts. [s.l.]: AGU
  20. 20.
    Sneed M, Brandt J and Solt M. 2013. Land Subsidence Along the Delta-Mendota Canal in the Northern Part of the San Joaquin Valley, California, 2003-10. USGS
  21. 21.
    Sun W B. 2013. Design and analysis of middle-long span clockwise sprinkler for Dongfeng meadow. Heilongjiang Science and Technology of Water Conservancy, 41(3): 44-46
  22. 22.
    Ustun A, Tusat E and Yalvac S. 2010. Preliminary results of land subsidence monitoring project in Konya Closed Basin between 2006-2009 by means of GNSS observations. Natural Hazards and Earth System Sciences, 10(6): 1151-1157
  23. 23.
    Wei W S, He Q, Liu M Z and Gao W D. 2003. Climate change and the desert environment in Junggar Basin, Xinjiang, China. Journal of Desert Research, 23(2): 101-105
  24. 24.
    Wen B P, Yu Z S, Li Z H, Yang H L, He L, Jiang S and Zhang J L. 2013. Trend of the land subsidence induced by irrigation in Heifangtai, Yongjing county of Gansu province. The Chinese Journal of Geological Hazard and Control, 24(4): 108-114
  25. 25.
    Xu L P, Guo P, Liu L and Wang L. 2014. Analysis of the spatiotemporal features of land use and land degradation in the northern piedmont area of the Tianshan Mountain. Research of Soil and Water Conservation, 21(5): 316-321
  26. 26.
    Zhang G X, Deng W and He Y. 2002. Groundwater crisis and sustainable agricultural development in north China. Arid Land Geography, 27(3): 437-441
  27. 27.
    Zhang L, Chen X G, Liu B, Cai Q Q, Chen H J and Chen D B. 2013. The degree of hydrogeology research in the northern foot of the Tianshan Mountains. Underground Water, 35(4): 176-178
  28. 28.
    Zhao L, Gong H L, Li X J and Zhang Y Q. 2010. Ground settlement research in Las Vegas based on PSInSAR technology. Bulletin of Surveying and Mappin, (S0): 170-173
  29. 29.
    Zheng J W. 2011. Study on hydrogeological conditions in the west Gobi region of Hutubi county. Xinjiang Nonferrous Metals, 34(2): 34-35, 37

قراءة النص الكامل

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website