Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections

Xia Wang; Ying Wang; Qigen Lin; Xudong Yang

doi:10.1007/s13753-023-00514-w

Volume 14 Issue 5

Nov. 2023

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Xia Wang, Ying Wang, Qigen Lin, Xudong Yang. Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections[J]. International Journal of Disaster Risk Science, 2023, 14(5): 751-767. doi: 10.1007/s13753-023-00514-w

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Xia Wang, Ying Wang, Qigen Lin, Xudong Yang. Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections[J]. International Journal of Disaster Risk Science, 2023, 14(5): 751-767. doi: 10.1007/s13753-023-00514-w

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Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections

doi: 10.1007/s13753-023-00514-w

Xia Wang^1,2,
Ying Wang^{1,2
,
,},
Qigen Lin³,
Xudong Yang⁴

1. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing, 100875, China;
2. Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Beijing, 100875, China;
3. Institute for Disaster Risk Management/School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China;
4. China Institute of Geo-Environmental Monitoring, Beijing, 100081, China

Funds:

The Second Tibetan Plateau Scientific Expedition and Research Program (STEP, Grant No. 2019QZKK0906) and National Key Research and Development Program of China (Grant No. 2023YFC3007204) supported this work. We are grateful for the support of this program.

Accepted Date: 2023-09-30

Available Online: 2023-11-23

Publish Date: 2023-11-07

Abstract

Abstract

Extreme precipitation-induced landslide events are projected to increase under climate change, which poses a serious threat to human lives and property. In this study, a global-scale landslide risk assessment model was established using global landslide data, by considering landslide hazard, exposure, and vulnerability. The global climate model data were then employed to drive the established global landslide risk model to explore the spatial and temporal variations in future landslide risk across the globe as a result of extreme precipitation changes. The results show that compared to the 30-year period from 1971 to 2000, the average annual frequency of landslides triggered by extreme precipitation is projected to increase by 7% and 10%, respectively, in the future 30-year periods of 2031–2060 and 2066–2095. The global average annual casualty risk of landslides is projected to increase from about 3240 to 7670 and 8380, respectively (with growth rates of 140% and 160%), during the 2031–2060 and 2066–2095 periods under the SSP2-4.5 scenario. The top 10 countries with the highest casualty risk of landslides are China, Afghanistan, India, the Philippines, Indonesia, Rwanda, Turkey, Nepal, Guatemala, and Brazil, 60% of which are located in Asia. The frequency and intensity of extreme precipitation will increase under climate change, which will lead to an increase in casualties from landslides in mountainous areas globally, and this risk should be taken seriously. The present study was an attempt to investigate and quantify the impact of global landslide casualty risk under climate change, which still has uncertainty in terms of outcomes, and there remains a need for further understanding in the future of the propagation of uncertainty between the factors that affect the risk.
- Casualty risk,
- Climate change,
- Extreme precipitation,
- Global landslides,
- Multi-GCMs

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References(59)

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