Exposed Built-Up Lands Grew Faster than Total Flood Areas in China During 2000–2020

Abstract Exposed built-up land in flood areas is a vital indicator determining flood losses. It potentially changes in the context of rapid urbanization and climate change particularly in hotspot countries like China. However, a comprehensive understanding of the spatiotemporal patterns of flood extent and exposed built-up lands is hampered due to limited information of historical floods. To fill the research gap, this study developed the Spatial Dataset of Historical Floods in China (SDHFC) with event-explicit exposure from 2000 to 2020 using Google Earth Engine, based on internationally available flood event inventories and remote sensing-based surface water data. The Mann-Kendall test and rectified Theil-Sen trend analysis were applied to quantify the changes in flood extent and exposed built-up lands. The SDHFC delineated the inundation extent for 212 flood events in China during 2000–2020, demonstrating a notable improvement compared with global database. Both flood extent and exposed built-up lands increased significantly, with the latter growing at a rate of 9.65%·a -1 , approximately 1.8 times that of the former. Continuous expansion of built-up lands was identified as the primary driver (62%) for the rapid increase in their exposure to floods, much higher than the contribution of the observed flood extent (38%). The findings are crucial for understanding the complex interactions between flood patterns and urbanization processes in China in 2000–2020. The methodology could be applied in various regions for investigating long-term sequences of flood extent and exposed built-up lands.

Authors

Institutions

Publication Details

Journal
International Journal of Disaster Risk Science
Published
2026-04-01
DOI
https://doi.org/10.1007/s13753-026-00713-1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exposed Built-Up Lands Grew Faster than Total Flood Areas in China During 2000–2020

Weiyue Li, Chen Zhou, Haoyuan Wu, Yongqiang Duan et al.
International Journal of Disaster Risk Science
Flood Risk Assessment and Management
article

Exposed Built-Up Lands Grew Faster than Total Flood Areas in China During 2000–2020

Weiyue Li, Chen Zhou, Haoyuan Wu, Yongqiang Duan, Hanru Shen, Yukun Lin, Jingwei Li, Shiqiang Du
article en

Abstract

Abstract Exposed built-up land in flood areas is a vital indicator determining flood losses. It potentially changes in the context of rapid urbanization and climate change particularly in hotspot countries like China. However, a comprehensive understanding of the spatiotemporal patterns of flood extent and exposed built-up lands is hampered due to limited information of historical floods. To fill the research gap, this study developed the Spatial Dataset of Historical Floods in China (SDHFC) with event-explicit exposure from 2000 to 2020 using Google Earth Engine, based on internationally available flood event inventories and remote sensing-based surface water data. The Mann-Kendall test and rectified Theil-Sen trend analysis were applied to quantify the changes in flood extent and exposed built-up lands. The SDHFC delineated the inundation extent for 212 flood events in China during 2000–2020, demonstrating a notable improvement compared with global database. Both flood extent and exposed built-up lands increased significantly, with the latter growing at a rate of 9.65%·a -1 , approximately 1.8 times that of the former. Continuous expansion of built-up lands was identified as the primary driver (62%) for the rapid increase in their exposure to floods, much higher than the contribution of the observed flood extent (38%). The findings are crucial for understanding the complex interactions between flood patterns and urbanization processes in China in 2000–2020. The methodology could be applied in various regions for investigating long-term sequences of flood extent and exposed built-up lands.

International Journal of Disaster Risk ScienceVol. 17(2)
Shanghai Normal University (CN), Beijing Normal University (CN), Research Management (Norway) (NO)
Sustainable cities and communities
Openalex Percentile: Top 27%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exposed Built-Up Lands Grew Faster than Total Flood Areas in China During 2000–2020 — Weiyue Li, Chen Zhou, et al. · International Journal of Disaster Risk Science (2026) | TGRS Research Map | TGRS