globalchange  > 过去全球变化的重建
DOI: 10.3390/w11061302
WOS记录号: WOS:000475346300190
论文题名:
Analysis of Drought-Sensitive Areas and Evolution Patterns through Statistical Simulations of the Indian Ocean Dipole Mode
作者: Gao, Qing-Gang1; Sombutmounvong, Vonevilay1; Xiong, Lihua1; Lee, Joo-Heon2; Kim, Jong-Suk1
通讯作者: Kim, Jong-Suk
刊名: WATER
ISSN: 2073-4441
出版年: 2019
卷: 11, 期:6
语种: 英语
英文关键词: extreme drought ; Indochina Peninsula ; Indian Ocean Dipole ; intentionally biased bootstrap method
WOS关键词: TROPICAL CYCLONE ACTIVITY ; EL-NINO ; METEOROLOGICAL DROUGHT ; CLIMATE-CHANGE ; RAINFALL ; VARIABILITY ; ENSO ; IMPACTS ; TREND ; KOREA
WOS学科分类: Water Resources
WOS研究方向: Water Resources
英文摘要:

In this study, we investigated extreme droughts in the Indochina peninsula and their relationship with the Indian Ocean Dipole (IOD) mode. Areas most vulnerable to drought were analyzed via statistical simulations of the IOD based on historical observations. Results of the long-term trend analysis indicate that areas with increasing spring (March-May) rainfall are mainly distributed along the eastern coast (Vietnam) and the northwestern portions of the Indochina Peninsula (ICP), while Central and Northern Laos and Northern Cambodia have witnessed a reduction in spring rainfall over the past few decades. This trend is similar to that of extreme drought. During positive IOD years, the frequency of extreme droughts was reduced throughout Vietnam and in the southwestern parts of China, while increased drought was observed in Cambodia, Central Laos, and along the coastline adjacent to the Myanmar Sea. Results for negative IOD years were similar to changes observed for positive IOD years; however, the eastern and northern parts of the ICP experienced reduced droughts. In addition, the results of the statistical simulations proposed in this study successfully simulate drought-sensitive areas and evolution patterns of various IOD changes. The results of this study can help improve diagnostic techniques for extreme droughts in the ICP.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139307
Appears in Collections:过去全球变化的重建

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作者单位: 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
2.Joongbu Univ, Dept Civil Engn, Go Yang 10279, Gyeong Gi, South Korea

Recommended Citation:
Gao, Qing-Gang,Sombutmounvong, Vonevilay,Xiong, Lihua,et al. Analysis of Drought-Sensitive Areas and Evolution Patterns through Statistical Simulations of the Indian Ocean Dipole Mode[J]. WATER,2019-01-01,11(6)
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