Articles | Volume 19, issue 3
https://doi.org/10.5194/nhess-19-697-2019
https://doi.org/10.5194/nhess-19-697-2019
Research article
 | 
02 Apr 2019
Research article |  | 02 Apr 2019

Event-based probabilistic risk assessment of livestock snow disasters in the Qinghai–Tibetan Plateau

Tao Ye, Weihang Liu, Jidong Wu, Yijia Li, Peijun Shi, and Qiang Zhang

Related authors

CLRD-GLPS: A Long-term Seasonal Dataset of Ruminant Livestock Distribution in China's Grazing Production Systems (2000–2021) Using Stacking-based Interpretable Machine Learning
Ning Zhan, Tao Ye, Mario Herrero, Jian Peng, Weihang Liu, and Heng Ma
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-263,https://doi.org/10.5194/essd-2025-263, 2025
Manuscript not accepted for further review
Short summary
Spatiotemporal variation of growth-stage specific concurrent climate extremes and their yield impacts for rice in southern China
Ran Sun, Tao Ye, Yiqing Liu, Weihang Liu, and Shuo Chen
EGUsphere, https://doi.org/10.5194/egusphere-2025-1393,https://doi.org/10.5194/egusphere-2025-1393, 2025
Short summary
Long-term Ruminant Livestock Distribution Datasets in Grazing Livestock Production Systems in China from 2000 to 2021 (CLRD-GLPS)
Ning Zhan, Tao Ye, Mario Herrero, Jian Peng, Weihang Liu, and Heng Ma
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-534,https://doi.org/10.5194/essd-2024-534, 2024
Manuscript not accepted for further review
Short summary
Spatiotemporal variation of growth-stage specific compound climate extremes for rice in South China: Evidence from concurrent and consecutive compound events
Ran Sun, Tao Ye, Yiqing Liu, Weihang Liu, and Shuo Chen
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2024-8,https://doi.org/10.5194/esd-2024-8, 2024
Manuscript not accepted for further review
Short summary
The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature, water, and nitrogen perturbations
Weihang Liu, Tao Ye, Christoph Müller, Jonas Jägermeyr, James A. Franke, Haynes Stephens, and Shuo Chen
Geosci. Model Dev., 16, 7203–7221, https://doi.org/10.5194/gmd-16-7203-2023,https://doi.org/10.5194/gmd-16-7203-2023, 2023
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Tracing online flood conversations across borders: a watershed-level analysis of geo-social media topics during the 2021 European flood
Sébastien Dujardin, Dorian Arifi, Sebastian Schmidt, Catherine Linard, and Bernd Resch
Nat. Hazards Earth Syst. Sci., 25, 2351–2369, https://doi.org/10.5194/nhess-25-2351-2025,https://doi.org/10.5194/nhess-25-2351-2025, 2025
Short summary
An evaluation of the alignment of drought policy and planning guidelines with the contemporary disaster risk reduction agenda
Ilyas Masih
Nat. Hazards Earth Syst. Sci., 25, 2155–2178, https://doi.org/10.5194/nhess-25-2155-2025,https://doi.org/10.5194/nhess-25-2155-2025, 2025
Short summary
Qualitative risk assessment of sensitive infrastructures at the local level: flooding and heavy rainfall
Alessa Truedinger, Joern Birkmann, Mark Fleischhauer, and Celso Ferreira
Nat. Hazards Earth Syst. Sci., 25, 2097–2113, https://doi.org/10.5194/nhess-25-2097-2025,https://doi.org/10.5194/nhess-25-2097-2025, 2025
Short summary
Measuring extremes-driven direct biophysical impacts in agricultural drought damages
Mansi Nagpal, Jasmin Heilemann, Luis Samaniego, Bernd Klauer, Erik Gawel, and Christian Klassert
Nat. Hazards Earth Syst. Sci., 25, 2115–2135, https://doi.org/10.5194/nhess-25-2115-2025,https://doi.org/10.5194/nhess-25-2115-2025, 2025
Short summary
Brief communication: Bridging the data gap – a call to enhance the representation of global coastal flood protection
Nicole van Maanen, Joël J.-F. G. De Plaen, Timothy Tiggeloven, Maria Luisa Colmenares, Philip J. Ward, Paolo Scussolini, and Elco Koks
Nat. Hazards Earth Syst. Sci., 25, 2075–2080, https://doi.org/10.5194/nhess-25-2075-2025,https://doi.org/10.5194/nhess-25-2075-2025, 2025
Short summary

Cited articles

Anderson, D., Davidson, R. A., Himoto, K., and Scawthorn, C.: Statistical Modeling of Fire Occurrence Using Data from the Tōhoku, Japan Earthquake and Tsunami, Risk Anal., 36, 378–395, https://doi.org/10.1111/risa.12455, 2016. 
Bai, Y., Zhang, X., and Xu, P.: The Snow Disaster Risk Assessment of Animal Husbandry in Qinghai Province, J. Qinghai Norm. Univers. (Nat. Sci.), 1, 71–77, https://doi.org/10.16229/j.cnki.issn1001-7542.2011.01.004, 2011. 
Basang, D., Barthel, K., and Olseth, J.: Satellite and Ground Observations of Snow Cover in Tibet during 2001–2015, Remote Sens., 9, 1201, https://doi.org/10.3390/rs9111201, 2017. 
Birkmann, J. and Welle, T.: The WorldRiskIndex 2016: Reveals the Necessity for Regional Cooperation in Vulnerability Reduction, J. Extrem. Events, 03, 1650005, https://doi.org/10.1142/S2345737616500056, 2016. 
Carleton, T. A. and Hsiang, S. M.: Social and economic impacts of climate, Science, 353, 6304, https://doi.org/10.1126/science.aad9837, 2016. 
Download
Short summary
Livestock and their owners in the Qinghai–Tibetan Plateau has long suffered from snow disaster. In order to help the local herder community better prepare for potential loss, we developed a probabilistic disaster-event simulation approach, from which livestock loss induced by a snow disaster with specific intensity and local prevention capacity could be predicted. By using this method, we managed to estimate snow disaster duration, livestock loss rate, and number at different return periods.
Share
Altmetrics
Final-revised paper
Preprint