IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i2p477-d131331.html
   My bibliography  Save this article

Spatiotemporal Change Patterns of Coastlines in Zhejiang Province, China, Over the Last Twenty-Five Years

Author

Listed:
  • Jialin Li

    (Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, Zhejiang, China
    Institute for East China Sea, Ningbo University, Ningbo 315211, Zhejiang, China)

  • Mengyao Ye

    (Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, Zhejiang, China)

  • Ruiliang Pu

    (School of Geosciences, University of South Florida, Tampa, FL 33620-5200, USA)

  • Yongchao Liu

    (Collaborative Innovation Center for the South China Sea Studies, Nanjing University, Nanjing 210023, Jiangsu, China)

  • Qiandong Guo

    (School of Geosciences, University of South Florida, Tampa, FL 33620-5200, USA)

  • Baixiang Feng

    (Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, Zhejiang, China)

  • Ripeng Huang

    (Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, Zhejiang, China)

  • Gaili He

    (Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo 315211, Zhejiang, China)

Abstract

Spatiotemporal analysis of coastline land utilization is important for strengthening coastline resource management and promoting sustainable development in coastal zones. In this study, basic spatiotemporal characteristics of coastline land utilization in Zhejiang Province, China, were analyzed using remote sensing (RS) and GIS techniques. For this case, Landsat Thematic Mapper and Operational Land Imager remote-sensing image data acquired from 1990 to 2015 were collected and processed. Several indices and metrics used for quantifying and analyzing the coastline utilization in Zhejiang Province were defined and calculated through processing remote sensing data and using GIS tools. They included the intensity index of coastline change, fractal dimension of the coastline, subjectivity of coastline utilization, and the integrated coastline utilization index. The analysis results demonstrated that (1) significant coastline changes took place in Zhejiang Province, and the coastline moved seaward, while the total coastline length decreased continuously; (2) the average fractal dimension of the coastlines was 1.0922, and it was relatively stable before 2000, but declined continuously after 2000, reduced to 1.086 in 2015; (3) the artificialization index of the coastlines kept rising; (4) there were single, binary, and other multi-land use types in different coastline sections in the study area; and (5) the coastline land use intensity increased continuously from 0.25 to 0.38, and the coastline in the Xiangshan Harbour had the highest land use intensity index, reaching 0.53 in 2015, throughout the study period, and in the study area.

Suggested Citation

  • Jialin Li & Mengyao Ye & Ruiliang Pu & Yongchao Liu & Qiandong Guo & Baixiang Feng & Ripeng Huang & Gaili He, 2018. "Spatiotemporal Change Patterns of Coastlines in Zhejiang Province, China, Over the Last Twenty-Five Years," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:477-:d:131331
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/2/477/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/2/477/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Minghui Zhu & Xiaoming Xia & Yining Chen & Xinkai Wang & Yifei Liu & Ziyan Zhang & Jun Zheng, 2023. "Spatiotemporal Variation of Tidal Wetlands Affected by Human Activities during the Past 50 Years: A Case Study of Yueqing Bay in Eastern China," Land, MDPI, vol. 12(4), pages 1-19, April.
    2. Peng Tian & Jialin Li & Hongbo Gong & Ruiliang Pu & Luodan Cao & Shuyao Shao & Zuoqi Shi & Xiuli Feng & Lijia Wang & Riuqing Liu, 2019. "Research on Land Use Changes and Ecological Risk Assessment in Yongjiang River Basin in Zhejiang Province, China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    3. Luodan Cao & Jialin Li & Mengyao Ye & Ruiliang Pu & Yongchao Liu & Qiandong Guo & Baixiang Feng & Xiayun Song, 2018. "Changes of Ecosystem Service Value in a Coastal Zone of Zhejiang Province, China, during Rapid Urbanization," IJERPH, MDPI, vol. 15(7), pages 1-16, June.
    4. Lichun Sui & Jun Wang & Xiaomei Yang & Zhihua Wang, 2020. "Spatial-Temporal Characteristics of Coastline Changes in Indonesia from 1990 to 2018," Sustainability, MDPI, vol. 12(8), pages 1-28, April.

    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:10:y:2018:i:2:p:477-:d:131331. 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: 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.