Literature Review on Extreme Precipitation Events and Their Population and Economic Exposure in Xinjiang Uygur Autonomous Region

Yuying He

doi:10.62051/ijgem.v7n2.07

Authors

Yuying He

DOI:

https://doi.org/10.62051/ijgem.v7n2.07

Keywords:

Xinjiang, Extreme precipitation events, Extreme precipitation threshold, Exposure, Population and economy

Abstract

In recent years, with the gradual acceleration of global warming, the water cycle has intensified, leading to frequent extreme weather events such as rainstorms and high-temperature heatwaves. Among them, the occurrence of extreme precipitation events has caused huge losses to human life, property, and socio-economic development. This paper reviews the definitions of extreme precipitation events and exposure, studies on extreme precipitation events at different regional scales at home and abroad, studies on exposure, and the research status at home and abroad on the threshold of extreme precipitation events, the selection of extreme precipitation indicators and exposure indicators. It is found that there are still deficiencies in the selection and division of spatiotemporal scale indicators for extreme precipitation events and in the comprehensive research on exposure. On this basis, the spatiotemporal distribution law of extreme precipitation events and the research prospects of exposure are prospected.

Downloads

Download data is not yet available.

References

[1] Jing Cheng, Jiang Tong, Wang Yanjun, et al. Study on Regional Extreme Precipitation Events and Population-Economic Exposure in China [J]. Acta Meteorologica Sinica, 2016, 74(04): 572-582.

[2] Zhou Xiang. Historical Characteristics and Future Trends of Extreme Rainfall Events in Fujian Province from 1960 to 2100 [J/OL]. Journal of Xihua Normal University (Natural Science Edition), 1-10.

[3] Han Furong, Lu Xiang, Dong Meiying, et al. Variation Characteristics of Extreme Precipitation in Jinhua Area from 1971 to 2020 [J]. Meteorology and Disaster Reduction Research, 2023, 46(01): 18-27.

[4] Zhao Jianting. Study on Extreme Precipitation Events and Population Exposure in the Indus River Basin under Different Warming Targets [D]. Nanjing University of Information Science and Technology, 2020.

[5] Zhao J, Su B, Sanjit M K, et al. Population exposure to precipitation extremes in the Indus River Basin at 1.5°C, 2°C and 3°C warming levels [J]. Advances in Climate Change Research, 2021, 12(2).

[6] Xu K, Xu B, Ju J, et al. Projection and uncertainty of precipitation extremes in the CMIP5 multimodel ensembles over nine major basins in China [J]. Atmospheric Research, 2019, 226: 122-137.

[7] Feng Anlan, Zhang Qiang, Song Jinbo, et al. Analysis of Spatiotemporal Characteristics of Extreme Precipitation in the Yellow River Basin Based on CMIP6 [J/OL]. Journal of Beijing Normal University (Natural Science Edition), 1-22 [2024-04-27].

[8] Gao Shuyuan, Li Awei, Huang Jinlong, et al. Change Characteristics of Extreme Precipitation in Core Areas of Rural Revitalization in China under Global Warming Scenarios of 1.5°C and 2.0°C [J]. Climatic and Environmental Research, 2022, 27(01): 123-133.

[9] Zhang Hongfang, Pan Liujie, Lu Shan, et al. Variation Characteristics of Extreme Precipitation in Qinling Mountains and Surrounding Areas in Recent 40 Years [J]. Arid Land Geography, 2024, 47(03): 380-390.

[10] Zhang Xingdong, Yu Lei, Su Ye, et al. Spatiotemporal Variation Characteristics of Extreme Precipitation in Beijing-Tianjin-Hebei Region—Analysis Based on CMIP6 Climate Model [J]. Green Science and Technology, 2023, 25(18): 103-110.

[11] Li Yong, Mei Shuangli, Zhou Ningfang. Trend Variation Characteristics of Summer Precipitation in Northwest China from 1961 to 2020 [J]. Desert and Oasis Meteorology, 2024, 18(01): 74-80.

[12] Aike Dai·Shalamu, He Qing, Alimu·Abasi, et al. Spatiotemporal Distribution Characteristics of Hourly Extreme Precipitation in Warm Season in Kizilsu Kirgiz Autonomous Prefecture, Xinjiang [J]. Desert and Oasis Meteorology, 2024, 18(02): 20-26.

[13] Katz R W, Brown B G. Extreme events in a changing climate: variability is more important than averages [J]. Climatic Change, 1992, 21(3): 289-302.

[14] Beniston M, Stephenson D B, Christensen O B, et al. Future extreme events in European climate: an exploration of regional climate model projections [J]. Climatic Change, 2007, 81(S1): 71-95.

[15] Hu Yichang, Dong Wenjie, He Yong. Research Progress on Extreme Weather and Climate Events in the Early 21st Century [J]. Advances in Earth Science, 2007, 22(10): 1066-1075.

[16] Liu Fengxia. Study on Extreme Precipitation Events and Population Exposure in the Yangtze River Basin under Different Warming Scenarios [D]. Nanjing University of Information Science and Technology, 2018.

[17] Mo Jianfei, Zhong Shiquan, Chen Yanli, et al. Analysis of Socio-Economic Exposure to Floods in Guangxi Basin under Extreme Precipitation Events [J]. Journal of Catastrophology, 2018, 33(02): 83-88.

[18] Pachauri R K, Reisinger A E. Climate change 2007. Synthesis Report [M]. Contribution of Working Groups I, II and III to The Fourth Assessment Report. Switzerland: IPCC, Geneva, 2008.

[19] Alexander L V, Zhang X, Peterson T C, et al. Global observed changes in daily climate extremes of temperature and precipitation [J]. Journal of Geophysical Research: Atmospheres, 2006, 111(D5): 109.

[20] Alexander L V, Tapper N, Zhang X, et al. Climate extremes: progress and future directions [J]. International Journal of Climatology, 2009, 29(3): 317-319.