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Climate Change Research ›› 2022, Vol. 18 ›› Issue (2): 154-165.doi: 10.12006/j.issn.1673-1719.2021.196
• Impacts of Climate Change • Previous Articles Next Articles
LI Ying1(), ZHAO Shan-Shan1,2(
)
Received:
2021-09-06
Revised:
2021-10-19
Online:
2022-03-30
Published:
2022-02-18
Contact:
ZHAO Shan-Shan
E-mail:yingli@cma.gov.cn;zhaoss@cma.gov.cn
LI Ying, ZHAO Shan-Shan. Floods losses and hazards in China from 2001 to 2020[J]. Climate Change Research, 2022, 18(2): 154-165.
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URL: http://www.climatechange.cn/EN/10.12006/j.issn.1673-1719.2021.196
Fig. 1 Annual variation of flood losses from 2001 to 2020. (a) Affected population, (b) fatalities and damaged houses,(c) affected crop area, (d) direct economic losses
Fig. 2 Spatial distribution of flood losses in China from 2001 to 2020 (left) and the difference (right) between 2011-2020 and 2001-2010. (a) (b) Affected population, (c) (d) fatalities, (e) (f) affected crop area, (g) (h) damaged houses, (i) (j) direct economic losses
Fig. 4 Spatial distribution of the annual averages, long-term trends for 2001?2020, and differences between the last decade (2011-2020) and the previous decade (2001-2010). (a) (b) (c) Total rainfall, (d) (e) (f) heavy rainfall, (g) (h) (i) rainstorm days. (Black dot denotes that trend is significant at a significance level of 0.05)
Fig. 5 Correlation coefficients between flood losses and total rainfall, heavy rainfall, and rainstorm days at provincial level in China. (a) Affected crop area, (b) affected population, (c) fatalities, (d) damaged houses, (e) direct economic losses. (The dotted line is the correlation coefficient threshold corresponding to the 0.05 significance level)
[1] | 夏军, 王惠筠, 甘瑶瑶, 等. 中国暴雨洪涝预报方法的研究进展[J]. 暴雨灾害, 2019, 38(5):416-421. |
Xia J, Wang H Y, Gan Y Y, et al. Research progress in forecasting methods of rainstorm and flood disaster in China[J]. Torrential Rain and Disasters, 2019, 38(5):416-421 (in Chinese) | |
[2] | 丁一汇. 中国暴雨理论的发展历程与重要进展[J]. 暴雨灾害, 2019, 38(5):395-406. |
Ding Y H. The major advances and development process of the theory of heavy rainfalls in China[J]. Torrential Rain and Disasters, 2019, 38(5):395-406 (in Chinese) | |
[3] | 孔锋, 方建, 吕丽莉. 1961—2015年中国暴雨变化诊断及其与多种气候因子的关联性研究[J]. 热带气象学报, 2018, 34(1):34-47. |
Kong F, Fang J, Lu L L. The diagnosis of heave rainfall in China and correlation of heavy rainfall with multiple climatic factors in China from 1961 to 2015[J]. Journal of Tropical Meteorology, 2018, 34(1):34-47 (in Chinese) | |
[4] |
Tellman B, Sullivan J A, Kuhn C, et al. Satellite imaging reveals increased proportion of population exposed to floods[J]. Nature, 2021, 596:80-86
doi: 10.1038/s41586-021-03695-w URL |
[5] | 王珏, 聂文东, 王静爱. 中国大都市群地区的水灾风险与应急管理研究[J]. 自然灾害学报, 2005, 14(6):59-64. |
Wang J, Nie W D, Wang J A. Flood risk assessment and emergency management in metropolises of China[J]. Journal of Natural Disasters, 2005, 14(6):59-64 (in Chinese) | |
[6] | 方建, 杜鹃, 徐伟, 等. 气候变化对洪水灾害影响研究进展[J]. 地球科学进展, 2014, 29(9):1085-1093. |
Fang J, Du J, Xu W, et al. Advances in the study of climate change impacts on flood disaster[J]. Advance in Earth Science, 2014, 29(9):1085-1093 (in Chinese) | |
[7] | 於琍, 徐影, 张永香. 近25 a中国暴雨及其引发的暴雨洪涝灾害影响的时空变化特征[J]. 暴雨灾害, 2018, 37(1):67-72. |
Yu L, Xu Y, Zhang Y X. Temporal and spatial variation of rainstorms and the impact of flood disasters due to rainstorms in China in the past 25 years[J]. Torrential Rain and Disasters, 2018, 37(1):67-72 (in Chinese) | |
[8] | 赵珊珊, 高歌, 黄大鹏, 等. 2004—2013年中国气象灾害损失特征分析[J]. 气象与环境学报, 2017, 33(1):101-107. |
Zhao S S, Gao G, Huang D P, et al. Characteristics of meteorological disaster losses in China from 2004 to 2013[J]. Journal of Meteorology and Environment, 2017, 33(1):101-107 (in Chinese) | |
[9] | 闵爱荣, 廖移山, 邓雯. 2008—2013年我国暴雨分布情况及变化趋势分析[J]. 暴雨灾害, 2016, 35(6):576-584. |
Min A R, Liao Y S, Deng W. The analysis of the distribution and trend for heavy rainfall based on the precipitation data from 2008 to 2013 in China[J]. Torrential Rain and Disasters, 2016, 35(6):576-584 (in Chinese) | |
[10] |
Trenberth K E, Fasullo J, Simth L. Trends and variability in column-integrated atmospheric water vapor[J]. Climate Dynamic, 2005, 24(7-8):741-758
doi: 10.1007/s00382-005-0017-4 URL |
[11] |
Wentz F J, Ricciardulli L, Hilburn K, et al. How much more rain will global warming bring[J]. Science, 2007, 317(5835):233-235
doi: 10.1126/science.1140746 URL |
[12] |
Zhao P, Yang S, Yu R C. Long-term changes in rainfall over eastern China and large-scale atmospheric circulation associated with recent global warming[J]. Journal of Climate, 2010, 23(6):1544-1562
doi: 10.1175/2009JCLI2660.1 URL |
[13] | 王大钧, 陈列, 丁裕国. 近40年来中国降水量、雨日变化趋势及与全球温度变化的关系[J]. 热带气象学报, 2006, 22(3):283-289. |
Wang D J, Chen L, Ding Y G. The change trend in rainfall, wet days of China in recent 40 years and the correlation between the change trend and the change of globe temperature[J]. Journal of Tropical Meteorology, 2006, 22(3):283-289 (in Chinese) | |
[14] | 翟盘茂, 任福民, 张强. 中国降水极值变化趋势检测[J]. 气象学报, 1999, 57(2):208-216. |
Zhai P M, Ren F M, Zhang Q. Detection of trends in China's precipitation extremes[J]. Journal of Meteorological Research, 1999, 57(2):208-216 (in Chinese) | |
[15] | 中国气象局. 中国极端天气和灾害风险管理评估报告[D]. 北京: 科学出版社, 2015. |
China Meteorological Administration. Assessment report on extreme weather and disaster risk management in China[D]. Beijing: Science Press, 2015 (in Chinese) | |
[16] | IPCC. Climate change 2021: the physical science basis [M]. Cambridge: Cambridge University Press, 2021 |
[17] |
Zhang W X, Furtado K, Wu P L, et al. Increasing precipitation variability on daily-to-multiyear timescales in a warmer world[J]. Science Advances, 2021. DOI: 10.1126/sciadv.abf8021
doi: 10.1126/sciadv.abf8021 |
[18] | 孔锋, 刘凡, 王一飞, 等. 中国气候变化与水灾发生频次的时空关系研究 (1961—2010)[J]. 灾害学, 2017, 32(4):35-42. |
Kong F, Liu F, Wang Y F, et al. Spatial relationship between flooding frequency and climate change based on climate change regionalization in China from 1961 to 2010[J]. Journal of Catastrophology, 2017, 32(4):35-42 (in Chinese) | |
[19] | 万金红, 张葆蔚, 刘建刚, 等. 1950—2013年我国洪涝灾情时空特征分析[J]. 灾害学, 2016, 31(2):63-68. |
Wan J H, Zhang B W, Liu J G, et al. The distribution of flood disaster loss during 1950-2013[J]. Journal of Catastrophology, 2016, 31(2):63-68 (in Chinese) | |
[20] | 邱海军. 1950—2010年中国洪涝灾情的频率规模关系[J]. 自然灾害学报, 2013, 22(4):114-118. |
Qiu H J. The relationship between the frequency and the scale of flood situation in China from 1950 to 2010[J]. Journal of Natural Disasters, 2013, 22(4):114-118 (in Chinese) | |
[21] | 朱思诚, 任希岩. 关于城市内涝问题的思考[J]. 行政管理改革, 2011, 11:62-66. |
Zhu S C, Ren X Y. Reflections on urban flooding[J]. Administration Reform, 2011, 11:62-66 (in Chinese) | |
[22] |
He B, Huang X, Ma M, et al. Analysis of flash flood disaster characteristics in China from 2011 to 2015[J]. Natural Hazards, 2018, 90:407-420
doi: 10.1007/s11069-017-3052-7 URL |
[23] |
Wu J, Li Y, Ye T, et al. Changes in mortality and economic vulnerability to climatic hazards under economic development at the provincial level in China[J]. Regional Environmental Change, 2018, 19:1-12
doi: 10.1007/s10113-018-1406-7 URL |
[24] | 张建云, 王银堂, 胡庆芳, 等. 海绵城市建设有关问题讨论[J]. 水科学进展, 2016, 27(6):793-799. |
Zhang J Y, Wang Y T, Hu Q F, et al. Discussion and views on some issues of the sponge city construction in China[J]. Advances in Water Science, 2016, 27(6):793-799 (in Chinese) | |
[25] | 高歌, 黄大鹏, 赵珊珊. 基于信息扩散方法的中国台风灾害年月尺度风险评估[J]. 气象, 2019, 45(11):1600-1610. |
Gao G, Huang D P, Zhao S S. Annual and monthly risk assessment of typhoon disasters in China based on the information diffusion method[J]. Meteorological Monthly, 2019, 45(11):1600-1610 (in Chinese) | |
[26] | 曹丽娟, 严中伟. 地面气候资料均一性研究进展[J]. 气候变化研究进展, 2011, 7(2):129-135. |
Cao L J, Yan Z W. Progresses in research of homogenization of climate data[J]. Climate Change Research, 2011, 7(2):129-135 (in Chinese) | |
[27] |
Ren F, Wu G, Dong W, et al. Changes in tropical cyclone precipitation over China[J]. Geophysical Research Letters, 2006, 33, L20702
doi: 10.1029/2006GL027951 URL |
[28] |
Luo Y L, Wu M W, Ren F M, et al. Synoptic situations of extreme hourly precipitation over China[J]. Journal of Climate, 2016, 29:8703-8719
doi: 10.1175/JCLI-D-16-0057.1 URL |
[29] | 魏凤英. 现代气候统计诊断与预测技术[M]. 北京: 气象出版社, 2007: 18-19. |
Wei F Y. The modern climate statistical diagnosis and prediction technology [M]. Beijing: China Meteorology Press, 2007: 18-19 (in Chinese) | |
[30] |
Wu J D, Han G Y, Zhou H J, et al. Economic development and declining vulnerability to climate-related disasters in China[J]. Environment Research Letter, 2018, 13:034013
doi: 10.1088/1748-9326/aaabd7 URL |
[31] |
Zhou Y, Li N, Wu W X, et al. Exploring the characteristics of major natural disasters in China and their impacts during the past decades[J]. Natural Hazards, 2013, 69(1):829-843
doi: 10.1007/s11069-013-0738-3 URL |
[32] | 国家统计局. 人民生活实现历史性跨越阔步迈向全面小康: 新中国成立70周年经济社会发展成就系列报告之十四[EB/OL]. 2019 [2019-08-09]. http://www.stats.gov.cn/tjsj/zxfb/201908/t20190809_1690098.html. |
National Bureau of Statistics. People's life achieves historic leaps and strides toward comprehensive prosperity: a series of reports on the achievements of economic and social development in the 70th anniversary of the founding of new China No. 14 [EB/OL]. 2019 [2019-08-09]. http://www.stats.gov.cn/tjsj/zxfb/201908/t20190809_1690098.html (in Chinese) | |
[33] | 樊高峰, 何月, 顾俊强. 基于GIS的浙江省暴雨灾害及其危险性评价[J]. 中国农学通报, 2012, 28(32):293-299. |
Fan G F, He Y, Gu J Q. The rainstorm disaster and its risk assessment based on GIS in Zhejiang province[J]. Chinese Agricultural Science Bulletin, 2012, 28(32):293-299 (in Chinese) | |
[34] | 沈澄, 孙燕, 尹东屏, 等. 江苏省暴雨洪涝灾害特征分析[J]. 自然灾害学报, 2015, 24(2):203-212. |
Shen C, Sun Y, Yin D P, et al. Characteristic analysis of rainstorm-induced flood disaster in Jiangsu province[J]. Journal of Natural Disasters, 2015, 24(2):203-212 (in Chinese) | |
[35] |
Kong F, Sun S, Lei T. Understanding China's urban rainstorm waterlogging and its potential governance[J]. Water, 2021, 13(7):891
doi: 10.3390/w13070891 URL |
[36] | 郑艳, 翟建青, 武占云, 等. 基于适应性周期的韧性城市分类评价: 以我国海绵城市与气候适应型城市试点为例[J]. 中国人口∙资源与环境, 2018, 28(3):31-38. |
Zheng Y, Zhai J Q, Wu Z Y, et al. A typology analysis on resilient cities based on adaptive cycle: taking cases of Chinese sponge cities and climate resilient cites pilot projects[J]. China Population Resources and Environment, 2018, 28(3):31-38 (in Chinese) |
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