globalchange  > 气候变化事实与影响
DOI: 10.3390/su11061817
WOS记录号: WOS:000464356000008
论文题名:
Using the Markov Chain to Analyze Precipitation and Groundwater Drought Characteristics and Linkage with Atmospheric Circulation
作者: Yeh, Hsin-Fu; Hsu, Hsin-Li
通讯作者: Yeh, Hsin-Fu
刊名: SUSTAINABILITY
ISSN: 2071-1050
出版年: 2019
卷: 11, 期:6
语种: 英语
英文关键词: first-order Markov chain ; steady-state probability ; duration ; drought proneness ; wavelet analysis ; atmospheric circulation
WOS关键词: YELLOW-RIVER BASIN ; TEMPORAL CHARACTERISTICS ; HYDROLOGICAL DROUGHTS ; WAVELET ANALYSES ; NORTH-ATLANTIC ; CLIMATE-CHANGE ; CENTRAL-ASIA ; VARIABILITY ; PREDICTION ; INDEX
WOS学科分类: Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向: Science & Technology - Other Topics ; Environmental Sciences & Ecology
英文摘要:

In recent years, Taiwan has been facing water shortages due to the impact of climate change, which has resulted in many serious drought events, especially in southern Taiwan. Long-term records from 25 rainfall stations and 17 groundwater stations in the southern Taiwan basin were used in this study. We used the Standardized Precipitation Index (SPI) and the Standardized Groundwater Level Index (SGI) and employed the first-order Markov chain model and wavelet transform to determine the drought characteristics and propagation, including the steady-state probabilities of drought events and the mean duration for each station. The Drought Index (DI) was also used to investigate the effects of rainfall on groundwater drought. The results show that the steady-state probability of the meteorological drought in the Yanshui River basin in southern Taiwan is higher than that in other basins. The area with the longer mean duration is located in the Yanshui River basin and the Erren River basin, and overall, the mean duration ranges from 3 to 7 months. In addition, the results from the drought proneness analysis indicated that when rainfall causes a longer drought duration, there will be a higher degree of proneness to groundwater drought in the future. Finally, the results show that the mean duration of groundwater droughts are longer than those of meteorological droughts. The results of the wavelet analysis revealed a positive correlation at long-term scales, which may be related to large-scale atmospheric circulation. The information from this research could be used as a reference for water resource management in the future.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/132394
Appears in Collections:气候变化事实与影响

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作者单位: Natl Cheng Kung Univ, Dept Resources Engn, Tainan 701, Taiwan

Recommended Citation:
Yeh, Hsin-Fu,Hsu, Hsin-Li. Using the Markov Chain to Analyze Precipitation and Groundwater Drought Characteristics and Linkage with Atmospheric Circulation[J]. SUSTAINABILITY,2019-01-01,11(6)
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