Analysis of Drought Characteristic of Sichuan Province, Southwestern China
文献类型：期刊论文
| 作者 | Zhang, Yin1,2; Xia, Jun2,3; Yang, Fang1; She, Dunxian2; Zou, Lei3; Hong, Si2; Wang, Qiang1; Yuan, Fei1; Song, Lixiang1 |
| 刊名 | WATER
 |
| 出版日期 | 2023-04-01 |
| 卷号 | 15期号:8页码:1601 |
| 关键词 | drought standardized precipitation index GLDAS large-scale atmospheric circulation Sichuan Province |
| DOI | 10.3390/w15081601 |
| 文献子类 | Article |
| 英文摘要 | Drought is a widespread and destructive natural hazard and is projected to occur more frequently and intensely, with more severe impacts in a changing environment. In this study, we used the standardized precipitation index (SPI) at various time scales (i.e., 3, 6, and 12 months) to provide an overall view of drought conditions across Sichuan Province, southwestern China, from 1961 to 2016. Then, the relationship between the SPI and the soil moisture anomalies was analyzed. Furthermore, the causes of SPI drought from the perspective of large-scale atmospheric circulation were assessed in the study area. The results showed that most stations with decreasing trends were located in the eastern part of Sichuan Province, while most stations with increasing trends were located in the northwestern part, indicating that the eastern region presented a drying trend, while the northwestern part exhibited a wetting trend. The specific analysis focused on extreme drought indicated an increasing occurrence the probability of extreme drought events, which could induce a high potential drought risk in the study area. The SPI values had a strong relationship with the soil moisture anomalies, and the linear correlation coefficients decreased as the time scale increased. This result indicated that SPI3 (3-month SPI) could be regarded as a good predictor of soil moisture drought. The cross wavelet analysis revealed that the Southern Oscillation Index (SOI) had statistically significant correlations with the SPIs in Sichuan Province. The results of this study are useful for assessing the change in local drought events, which will help reduce the losses caused by drought disasters in Sichuan Province. |
| WOS关键词 | YELLOW-RIVER BASIN ; EXTREME DROUGHT ; SOIL-MOISTURE ; PRECIPITATION ; CLIMATE ; EVENTS ; INDEX ; ENSO ; TEMPERATURE ; VARIABILITY |
| WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
| WOS记录号 | WOS:000979496600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200844]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Pearl River Water Resources Commiss, Pearl River Water Resources Res Inst, Guangzhou 510611, Peoples R China 2.Minist Water Resources, Key Lab Pearl River Estuary Regulat & Protect, Guangzhou 510611, Peoples R China 3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Yin,Xia, Jun,Yang, Fang,et al. Analysis of Drought Characteristic of Sichuan Province, Southwestern China[J]. WATER,2023,15(8):1601. |
| APA | Zhang, Yin.,Xia, Jun.,Yang, Fang.,She, Dunxian.,Zou, Lei.,...&Song, Lixiang.(2023).Analysis of Drought Characteristic of Sichuan Province, Southwestern China.WATER,15(8),1601. |
| MLA | Zhang, Yin,et al."Analysis of Drought Characteristic of Sichuan Province, Southwestern China".WATER 15.8(2023):1601. |
入库方式： OAI收割
来源：地理科学与资源研究所
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