IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i20p4012-d278413.html
   My bibliography  Save this article

Improved Estimates of Population Exposure in Low-Elevation Coastal Zones of China

Author

Listed:
  • Xuchao Yang

    (Ocean College, Zhejiang University, Zhoushan 310027, China)

  • Chenming Yao

    (Ocean College, Zhejiang University, Zhoushan 310027, China)

  • Qian Chen

    (Ocean College, Zhejiang University, Zhoushan 310027, China)

  • Tingting Ye

    (Ocean College, Zhejiang University, Zhoushan 310027, China)

  • Cheng Jin

    (Ocean College, Zhejiang University, Zhoushan 310027, China)

Abstract

With sea level predicted to rise and the frequency and intensity of coastal flooding expected to increase due to climate change, high-resolution gridded population datasets have been extensively used to estimate the size of vulnerable populations in low-elevation coastal zones (LECZ). China is the most populous country, and populations in its LECZ grew rapidly due to urbanization and remarkable economic growth in coastal areas. In assessing the potential impacts of coastal hazards, the spatial distribution of population exposure in China’s LECZ should be examined. In this study, we propose a combination of multisource remote sensing images, point-of-interest data, and machine learning methods to improve the performance of population disaggregation in coastal China. The resulting population grid map of coastal China for the reference year 2010, with a spatial resolution of 100 × 100 m, is presented and validated. Then, we analyze the distribution of population in LECZ by overlaying the new gridded population data and LECZ footprints. Results showed that the total population exposed in China’s LECZ in 2010 was 158.2 million (random forest prediction) and 160.6 million (Cubist prediction), which account for 12.17% and 12.36% of the national population, respectively. This study also showed the considerable potential in combining geospatial big data for high-resolution population estimation.

Suggested Citation

  • Xuchao Yang & Chenming Yao & Qian Chen & Tingting Ye & Cheng Jin, 2019. "Improved Estimates of Population Exposure in Low-Elevation Coastal Zones of China," IJERPH, MDPI, vol. 16(20), pages 1-15, October.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:20:p:4012-:d:278413
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/20/4012/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/20/4012/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jianli Liu & Jiahong Wen & Youqin Huang & Minqi Shi & Qingjie Meng & Jinhong Ding & Hui Xu, 2015. "Human settlement and regional development in the context of climate change: a spatial analysis of low elevation coastal zones in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(4), pages 527-546, April.
    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. Siqi Feng & Kexin Yang & Jianli Liu & Yvlu Yang & Luna Zhao & Jiahong Wen & Chengcheng Wan & Lijun Yan, 2023. "Multi-Hazard Population Exposure in Low-Elevation Coastal Zones of China from 1990 to 2020," Sustainability, MDPI, vol. 15(17), pages 1-18, August.

    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. Ke Wang & Yongsheng Yang & Genserik Reniers & Quanyi Huang, 2021. "A study into the spatiotemporal distribution of typhoon storm surge disasters in China," 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. 108(1), pages 1237-1256, August.
    2. Jiayi Fang & Robert J. Nicholls & Sally Brown & Daniel Lincke & Jochen Hinkel & Athanasios T. Vafeidis & Shiqiang Du & Qing Zhao & Min Liu & Peijun Shi, 2022. "Benefits of subsidence control for coastal flooding in China," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Junlin Bao & Shu Gao & Jianxiong Ge, 2020. "Coastal engineering evolution in low-lying areas and adaptation practice since the eleventh century, Jiangsu Province, China," Climatic Change, Springer, vol. 162(2), pages 799-817, September.
    4. Walter Leal Filho & Francine Modesto & Gustavo J. Nagy & Mustafa Saroar & Nsani YannickToamukum & Michael Ha’apio, 2018. "Fostering coastal resilience to climate change vulnerability in Bangladesh, Brazil, Cameroon and Uruguay: a cross-country comparison," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(4), pages 579-602, April.
    5. Rui Bai & Ying Shi & Ying Pan, 2022. "Land-Use Classifying and Identification of the Production-Living-Ecological Space of Island Villages—A Case Study of Islands in the Western Sea Area of Guangdong Province," Land, MDPI, vol. 11(5), pages 1-20, May.
    6. Jian Xu & Yongrong Cao, 2019. "Innovation, the Flying Geese Model, IPR Protection, and Sustainable Economic Development in China," Sustainability, MDPI, vol. 11(20), pages 1-27, October.
    7. Boyang Gao & Zhenpei Hu, 2022. "What Affects the Level of Rural Human Settlement? A Case Study of Tibet, China," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
    8. Lin Yi & Jing Qian & Muhammadjon Kobuliev & Pengpeng Han & Jun Li, 2020. "Dynamic Evaluation of the Impact of Human Interference during Rapid Urbanisation of Coastal Zones: A Case Study of Shenzhen," Sustainability, MDPI, vol. 12(6), pages 1-15, March.

    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:jijerp:v:16:y:2019:i:20:p:4012-:d:278413. 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.