IDEAS home Printed from https://ideas.repec.org/a/zib/zbnmjg/v3y2019i1p32-44.html
   My bibliography  Save this article

Time Series Analysis Of Subsidence In Dhaka City, Bangladesh Using Insar

Author

Listed:
  • Dewan Mohammad Enamul Haque

    (Department of Disaster Science and Management, University of Dhaka, Dhaka-1000, Bangladesh)

  • Tanzim Hayat

    (Department of Disaster Science and Management, University of Dhaka, Dhaka-1000, Bangladesh)

  • Samanin Tasnim

    (Department of Disaster Science and Management, University of Dhaka, Dhaka-1000, Bangladesh)

Abstract

Despite existing literature suggesting that Dhaka City, Bangladesh is undergoing subsidence, few researches have been carried out to actually measure the subsidence rate. Previously conducted studies either do not provide sufficiently accurate subsidence results, or the study period is not long enough. In this research, we have tried to address that gap by performing time series subsidence analysis of Dhaka City utilizing Interferometric Synthetic Aperture Radar (InSAR) technique for a study period of 20 years. Synthetic Aperture Radar (SAR) C-band images from ERS, ENVISAT and Sentinel-1A were used to obtain the results. We had to use C-band SAR data from multiple sensors considering data availability issue of the period of investigation (i.e. 1992 to 1999(using ERS); 2003 to 2010(using ENVISAT); 2014 to 2017(using Sentinel 1A)). Most parts of the city is found to be subsiding. Mirpur and Uttara have subsided by over 221mm and 232mm respectively over the 20 years. Ramna and Cantonment subsided ar ound 205mm compared to their level in 1992, whereas both Gulshan and Tejgaon have subsided by about 200mm. Demra and Lalbagh show similar subsidence to the Ramna area, whereas Dhanmondi and Mohammadpur show subsidence rates similar to Tejgaon. We have also assessed the parameter sensitivity to perform this time series subsidence analysis. The parameter selection of coregistration, filtering and unwrapping was found to greatly influence the results. The result is being calibrated with the available GPS observation.

Suggested Citation

  • Dewan Mohammad Enamul Haque & Tanzim Hayat & Samanin Tasnim, 2019. "Time Series Analysis Of Subsidence In Dhaka City, Bangladesh Using Insar," Malaysian Journal of Geosciences (MJG), Zibeline International Publishing, vol. 3(1), pages 32-44, January.
  • Handle: RePEc:zib:zbnmjg:v:3:y:2019:i:1:p:32-44
    DOI: 10.26480/mjg.01.2019.32.44
    as

    Download full text from publisher

    File URL: https://myjgeosc.com/download/868/
    Download Restriction: no

    File URL: https://libkey.io/10.26480/mjg.01.2019.32.44?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:zib:zbnmjg:v:3:y:2019:i:1:p:32-44. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Zibeline International Publishing (email available below). General contact details of provider: https://myjgeosc.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.