IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i10p2853-d232569.html
   My bibliography  Save this article

Ground Deformation Analysis Using InSAR and Backpropagation Prediction with Influencing Factors in Erhai Region, China

Author

Listed:
  • Yuyi Wang

    (The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Yahui Guo

    (The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
    Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, China
    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China)

  • Shunqiang Hu

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China)

  • Yong Li

    (Sinopec Research Institute of Petroleum Engineering, Beijing 100101, China)

  • Jingzhe Wang

    (Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 800046, China
    Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China)

  • Xuesong Liu

    (Department of Computer Science and Technology, Tstinghua University, Beijing 100084, China)

  • Le Wang

    (Beijing New Media Technical College, Beijing 102200, China)

Abstract

The long continuity of Interferometric Synthetic Aperture Radar (InSAR) can provide high space and resolution data for ground deformation investigations. The ground deformation in this paper appeared in the city’s development, although it is close to the Erhai region, which is different from a water-deficient city. Therefore, the analysis and prediction of ground deformation using a new method is required. In this study, Sentinel-1 Synthetic Aperture Radar (SAR) images from 2015 to 2018 were used to study the characteristics of ground deformation in the Erhai region using the Small Baseline Subset Interferometric SAR (SBAS-InSAR) technique. The results were cross-validated using ascending and descending direction images to ensure the accuracy. In addition, the results showed that there was little ground deformation in the northern part of the Erhai region, while there was obvious ground deformation in the southern part. Four influencing factors—including the building area, water level, cumulative precipitation, and cumulative temperature of the southern Erhai region—were used together to predict the cumulative ground deformation using back-propagation (BP). The R of all the involved data was 0.966, and the root mean square errors (RMSEs) between the simulated values using BP and the true measured values were 3.063, 1.003, and 1.119, respectively. The results showed that BP has great potential in predicting the change tendency of ground deformation with high precision. The main reason for ground deformation is the continuous increase of building area; the water level followed. The cumulative precipitation and cumulative temperature are the reasons for the seasonal ground deformation. Some countermeasures and suggestions are given to face the challenge of serious ground deformation.

Suggested Citation

  • Yuyi Wang & Yahui Guo & Shunqiang Hu & Yong Li & Jingzhe Wang & Xuesong Liu & Le Wang, 2019. "Ground Deformation Analysis Using InSAR and Backpropagation Prediction with Influencing Factors in Erhai Region, China," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2853-:d:232569
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/10/2853/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/10/2853/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoqing Wei & Nianping Li & Jinqing Peng & Jianlin Cheng & Lin Su & Jinhua Hu, 2016. "Analysis of the Effect of the CaCl 2 Mass Fraction on the Efficiency of a Heat Pump Integrated Heat-Source Tower Using an Artificial Neural Network Model," Sustainability, MDPI, vol. 8(5), pages 1-14, April.
    2. Shuyu Li & Xuan Yang & Rongrong Li, 2019. "Forecasting Coal Consumption in India by 2030: Using Linear Modified Linear (MGM-ARIMA) and Linear Modified Nonlinear (BP-ARIMA) Combined Models," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    3. Cohen, Barney, 2006. "Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability," Technology in Society, Elsevier, vol. 28(1), pages 63-80.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fengyan Wang & Qing Ding & Lei Zhang & Mingchang Wang & Qing Wang, 2019. "Analysis of Land Surface Deformation in Chagan Lake Region Using TCPInSAR," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    2. Hyung-Sup Jung & Saro Lee & Biswajeet Pradhan, 2020. "Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations," Sustainability, MDPI, vol. 12(6), pages 1-6, March.
    3. Shubham Awasthi & Divyesh Varade & Sutapa Bhattacharjee & Hemant Singh & Sana Shahab & Kamal Jain, 2022. "Assessment of Land Deformation and the Associated Causes along a Rapidly Developing Himalayan Foothill Region Using Multi-Temporal Sentinel-1 SAR Datasets," Land, MDPI, vol. 11(11), pages 1-21, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pankaj Bajracharya & Selima Sultana, 2022. "Examining the Use of Urban Growth Boundary for Future Urban Expansion of Chattogram, Bangladesh," Sustainability, MDPI, vol. 14(9), pages 1-21, May.
    2. Ahsan Nawaz & Xing Su & Qaiser Mohi Ud Din & Muhammad Irslan Khalid & Muhammad Bilal & Syyed Adnan Raheel Shah, 2020. "Identification of the H&S (Health and Safety Factors) Involved in Infrastructure Projects in Developing Countries-A Sequential Mixed Method Approach of OLMT-Project," IJERPH, MDPI, vol. 17(2), pages 1-18, January.
    3. Alina Kulczyk-Dynowska & Agnieszka Stacherzak, 2022. "The Impact of a City on Its Environment: The Prism of Demography and Selected Environmental and Technical Aspects Based on the Case of Major Lower Silesian Cities," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    4. Vu, Khuong & Hartley, Kris, 2018. "Promoting smart cities in developing countries: Policy insights from Vietnam," Telecommunications Policy, Elsevier, vol. 42(10), pages 845-859.
    5. Dinkelman, Taryn & Schulhofer-Wohl, Sam, 2015. "Migration, congestion externalities, and the evaluation of spatial investments," Journal of Development Economics, Elsevier, vol. 114(C), pages 189-202.
    6. Mari-Isabella Stan, 2022. "The impact of the pandemic crisis on employment in the context of urbanization," Technium Social Sciences Journal, Technium Science, vol. 33(1), pages 492-505, July.
    7. Zhen Yang & Jun Lei & Jian-Gang Li, 2019. "Identifying the Determinants of Urbanization in Prefecture-Level Cities in China: A Quantitative Analysis Based on Spatial Production Theory," Sustainability, MDPI, vol. 11(4), pages 1-18, February.
    8. Malayaranjan Sahoo & Narayan Sethi, 2022. "The dynamic impact of urbanization, structural transformation, and technological innovation on ecological footprint and PM2.5: evidence from newly industrialized countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4244-4277, March.
    9. Jani, D.B. & Mishra, Manish & Sahoo, P.K., 2017. "Application of artificial neural network for predicting performance of solid desiccant cooling systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 352-366.
    10. Bernard Fosu Frimpong & Frank Molkenthin, 2021. "Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana," Land, MDPI, vol. 10(1), pages 1-21, January.
    11. Yan Yan & Hui Liu & Ningcheng Wang & Shenjun Yao, 2021. "How Does Low-Density Urbanization Reduce the Financial Sustainability of Chinese Cities? A Debt Perspective," Land, MDPI, vol. 10(9), pages 1-18, September.
    12. Ulep, Valerie Gilbert T. & Ortiz, Danica Aisa P. & Go, John Juliard & Duante, Charmaine & Gonzales, Rosa C. & Mendoza, Laurita R. & Reyes, Clarissa & Elgo, Frances Rose & Aldeon, Melanie P., 2012. "Inequities in Noncommunicable Diseases," Discussion Papers DP 2012-04, Philippine Institute for Development Studies.
    13. Rudke, Anderson Paulo & Martins, Jorge Alberto & dos Santos, Alex Mota & Silva, Witan Pereira & Caldana, Nathan F. da Silva & Souza, Vinicius A.S. & Alves, Ronaldo Adriano & de Almeida Albuquerque, Ta, 2021. "Spatial and socio-economic analysis of public transport systems in large cities: A case study for Belo Horizonte, Brazil," Journal of Transport Geography, Elsevier, vol. 91(C).
    14. S. A. Mashi & A. I. Inkani & Oghenejeabor Obaro & A. S. Asanarimam, 2020. "Community perception, response and adaptation strategies towards flood risk in a traditional African city," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 1727-1759, September.
    15. Salvati, Luca & Sateriano, Adele & Grigoriadis, Efstathios & Carlucci, Margherita, 2017. "New wine in old bottles: The (changing) socioeconomic attributes of sprawl during building boom and stagnation," Ecological Economics, Elsevier, vol. 131(C), pages 361-372.
    16. Nina Savela & Jarkko Levänen & Sara Lindeman & Nnenesi Kgabi & Heikki Koivisto & Meri Olenius & Samuel John & Damas Mashauri & Minna M. Keinänen-Toivola, 2020. "Rapid Urbanization and Infrastructure Pressure: Comparing the Sustainability Transition Potential of Water and Energy Regimes in Namibia," World, MDPI, vol. 1(2), pages 1-18, July.
    17. Xiaoqing Wei & Nianping Li & Jinqing Peng & Jianlin Cheng & Jinhua Hu & Meng Wang, 2017. "Modeling and Optimization of a CoolingTower-Assisted Heat Pump System," Energies, MDPI, vol. 10(5), pages 1-18, May.
    18. Leslie Gray & Laureen Elgert & Antoinette WinklerPrins, 2020. "Theorizing urban agriculture: north–south convergence," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(3), pages 869-883, September.
    19. Luca Salvati & Adele Sateriano & Eftathios Grigoriadis, 2016. "Crisis and the city: profiling urban growth under economic expansion and stagnation," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 329-342, October.
    20. Elvis Cheng Xu, 2019. "Impacts of Urbanisation on Trust: Evidence from a Lab in the Field on a Natural Experiment," Artefactual Field Experiments 00676, The Field Experiments Website.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2853-:d:232569. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.