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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: https://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)
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