IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Human settlement and regional development in the context of climate change: a spatial analysis of low elevation coastal zones in China

Listed author(s):
  • Jianli Liu

    ()

  • Jiahong Wen

    ()

  • Youqin Huang

    ()

  • Minqi Shi

    ()

  • Qingjie Meng

    ()

  • Jinhong Ding

    ()

  • Hui Xu

    ()

Registered author(s):

    Low elevation coastal zone (LECZ) in China is densely populated and economically developed, which is exposed to increasing risks of hazards related to climate change and sea level rise. To mitigate risks and achieve sustainable development, we need to better understand LECZ. As the first step, in this paper we define the extent of the LECZ in China, and analyze the spatial distribution of LECZ and its population, using a geographic information system software (ArcGIS) to combine elevation models and population data sets. Our findings show that, overall, this zone covers 2.0 % of China’s land area but contains 12.3 % of the total population, which is the largest population living in LECZ in the world. There are large regional variations in the distribution of both LECZ and LECZ population, with half of the LECZ within 30 km from the coastline, and Jiangsu Province having the largest LECZ area and population. The LECZ is also concentrated in three major economic zones in China, which accounts for 54 % of LECZ and three quarters of all LECZ population in China. The impact of future climate change on China’s LECZ is exacerbated by rapid economic and population growth, urbanization and environmental degradation. Coordinating development in coastal and inland China, enhancing adaptive capacity and implementing integrated risk management for LECZ are needed to reduce the risks related to climate change and to achieve sustainable development. Copyright The Author(s) 2015

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://hdl.handle.net/10.1007/s11027-013-9506-7
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Springer in its journal Mitigation and Adaptation Strategies for Global Change.

    Volume (Year): 20 (2015)
    Issue (Month): 4 (April)
    Pages: 527-546

    as
    in new window

    Handle: RePEc:spr:masfgc:v:20:y:2015:i:4:p:527-546
    DOI: 10.1007/s11027-013-9506-7
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/economics/journal/11027

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. Jun Wang & Wei Gao & Shiyuan Xu & Lizhong Yu, 2012. "Evaluation of the combined risk of sea level rise, land subsidence, and storm surges on the coastal areas of Shanghai, China," Climatic Change, Springer, vol. 115(3), pages 537-558, December.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:spr:masfgc:v:20:y:2015:i:4:p:527-546. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)

    or (Rebekah McClure)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.