Spatio-Temporal Variation in Pluvial Flash Flood Risk in the Lhasa River Basin, 1991–2020
Year: 2024
Type: article
Abstract: The analysis of temporal and spatial variability in risk has garnered significant research attention, particularly regarding flash flood disasters in the context of warming and wetting conditions on the Qinghai–Tibetan Plateau. Focusing on the Lhasa River basin, this study develops a framework that integrates geographic information systems and a combined subjective–objective weighting approach to comprehensively assess flash flood risk despite limited observations. This paper investigates the distribution patterns of hazard, vulnerability, and the integrated risk of pluvial flash floods; demonstrates the reliability of the assessment results; and provides mitigation recommendations for disaster risk management at the county level. The results showed a trend in increasing flash flood risk in recent decades compared to the 1990s. Moreover, very-high- and high-risk areas were concentrated in downstream regions with frequent precipitation extremes and anthropogenic activity. From 1991 to 2020, the high to very high-risk areas gradually expanded from central Lhasa to neighbouring counties. This study contributes valuable insights into flash flood risk assessment cand mapping, which are crucial in terms of the protection of life and property in the plateau basin.
DOI: 10.3390/ijgi13110387
Authors: Xiaoran Fu, Zhonggen Wang, Hongquan Sun, Dong Wang, Jiayu Tian, Pingping Sun, Xin Su, Liaofeng Liang
Institutions: Hohai University, National Institute of Natural Hazards, Ministry of Emergency Management of the People's Republic of China, University of Chinese Academy of Sciences, Hebei University of Engineering, Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Nanjing Hydraulic Research Institute
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,932
OpenAlex ID: W4403941644
