Author
Listed:
- Bingyu Zhao
(Beijing Normal University
Beijing Normal University
Beijing Normal University)
- Jianjun Wu
(Beijing Normal University
Beijing Normal University
Beijing Normal University)
- Feng Tian
(Beijing Normal University
Beijing Normal University
Beijing Normal University)
- Mengxue Liu
(Lhasa Plateau Ecosystem Research Station, Chinese Academy of Sciences)
- Meng Chen
(Beijing Normal University
Beijing Normal University
Beijing Normal University)
- Jingyu Lin
(Beijing Normal University
Beijing Normal University
Beijing Normal University)
Abstract
Evaluating the spatiotemporal characteristics of flood hazard risk is essential for stakeholders to undertake disaster preparedness and mitigation activities. Traditional hydrological modeling, hydrological station methods, and multi-indicator analysis techniques struggle to objectively and accurately capture the spatiotemporal characteristics of flood disaster risk due to challenges in spatial calibration and sparse spatial distribution, respectively. Historical remote sensing data can identify areas actually affected by floods, thereby improving flood risk assessment. In the study, Landsat and Sentinel remote sensing data from 1990 to 2023 were utilized to delineate flood inundations in the Poyang Lake region. Employing the Flood Exceedance Probability as an indicator, the study analyzes the spatiotemporal dynamics of flood disaster risk. Results indicate that: (1) Flood disaster risk is higher on the west, southwest, south, and southeast sides of Poyang Lake, along rivers, and in urban built-up areas. (2) Since 2000, the flood disaster risk in the Poyang Lake region has significantly decreased. (3) About 9.36% of the region has seen a reduction in flood risk, mainly around Poyang Lake and along rivers, related to improved disaster prevention and mitigation capabilities; about 3.80% has experienced increased risk, primarily in densely populated and built-up areas, associated with urban expansion and population growth. This study, for the first time, employs long-term earth observation data to objectively analyze the spatiotemporal variations of flood disaster risk in the Poyang Lake region, unveiling its temporal and spatial trends. These findings hold significant practical value for stakeholders in advancing flood prevention and mitigation efforts.
Suggested Citation
Bingyu Zhao & Jianjun Wu & Feng Tian & Mengxue Liu & Meng Chen & Jingyu Lin, 2025.
"Temporal and Spatial changes in flood disaster risk over the past 30 years in the Poyang lake region, 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. 121(11), pages 12487-12515, June.
Handle:
RePEc:spr:nathaz:v:121:y:2025:i:11:d:10.1007_s11069-025-07214-2
DOI: 10.1007/s11069-025-07214-2
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
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:spr:nathaz:v:121:y:2025:i:11:d:10.1007_s11069-025-07214-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.