Temporal and Spatial Variability of Droughts in Southwest China from 1961 to 2012
文献类型：SCI/SSCI论文
| 作者 | Huang Y. H. ; Xu, C.; Yang, H. J.; Wang, J. H.; Jiang, D.; Zhao, C. P.
|
| 发表日期 | 2015 |
| 关键词 | droughts Southwest China precipitation anomaly index drought frequency standardized precipitation index patterns station |
| 英文摘要 | Southwest China (SC) has suffered a series of super extreme droughts in the last decade. This study analyzed the temporal and spatial variations of drought in SC from 1961 to 2012. Based on precipitation anomaly index (PAI) that was derived from 1 km gridded precipitation data, three time scales (month, year and decade) for the drought frequency (DF) and drought area were applied to estimate the spatio-temporal structure of droughts. A time-series analysis showed that winter droughts and spring droughts occurred frequently for almost half of the year from November to March. Summer droughts occasionally occurred in severe drought decades: the 1960s, 1980s and 2000s. During the period of observation, the percent of drought area in SC increased from the 1960s (<5%) to the 2000s (>25%). A total of 57% of the area was affected by drought in 2011, when the area experienced its most severe drought both in terms of area and severity. The spatial analysis, which benefitted from the gridded data, detailed that all of SC is at drought risk except for the central Sichuan Basin. The area at high risk for severe and extreme droughts was localized in the mountains of the junction of Sichuan and Yunnan. The temporal and spatial variability can be prerequisites for drought resistance planning and drought risk management of SC. |
| 出处 | Sustainability |
| 卷 | 7 |
| 期 | 10 |
| 页 | 13597-13609 |
| 语种 | 英语 |
| ISSN号 | 2071-1050 |
| DOI标识 | 10.3390/su71013597 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38662]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 中国科学院地理科学与资源研究所 |
| 推荐引用方式 GB/T 7714 | Huang Y. H.,Xu, C.,Yang, H. J.,et al. Temporal and Spatial Variability of Droughts in Southwest China from 1961 to 2012. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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