Spatiotemporal Drought Assessment over Sahelian Countries from 1985 to 2015
文献类型：期刊论文
| 作者 | Noureldeen, Nusseiba3; Mao, Kebiao1,2,3,4; Mohmmed, Alnail5; Yuan, Zijin3; Yang, Yanying3 |
| 刊名 | JOURNAL OF METEOROLOGICAL RESEARCH
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 34期号:4页码:760-774 |
| 关键词 | vegetation condition index (VCI) drought vulnerability index (VI) Sahel region |
| ISSN号 | 2095-6037 |
| DOI | 10.1007/s13351-020-9178-7 |
| 通讯作者 | Mao, Kebiao(maokebiao@caas.cn) |
| 英文摘要 | Due to infrequent rainfall, high temperatures, and degraded land, the Sahel region often suffers from droughts. The Sahel region is considered as one of the world's driest and extreme environmental conditions. In order to assess spatiotemporal vulnerability of potential drought impacts, we used remote sensing and ground station data to evaluate drought conditions in the Sahel region from 1985 to 2015. The standard precipitation index (SPI), standard precipitation evapotranspiration index (SPEI), vegetation condition index (VCI) anomaly, along with socioeconomic indicators were performed. In addition, Pearson correlation coefficient (PCC) was computed between drought indices and three main crops (sorghum, millet, and maize) in the region to estimate the effects. The analysis showed that temperature increased by 0.78 degrees C from 1985 to 2015, which had a significant impact on crop yield for sorghum, maize, and millet with a statistical significance value ofP> 0.05. In the decade spanning 1994 to 2005 alone, the temperature increased by 0.57 degrees C, which resulted in extreme drought in Algeria, Sudan, Chad, Nigeria, and Mauritania. For the effect of drought on crop production, high significance was noted on the SPI and SPEI-3 timescale: sorghum with SPI-3 (r= 0.71) and SPEI-3 (r= 0.65), millet with SPI-3 (r= 0.61) and SPEI-3 (r= 0.72), and maize with SPI-3 (r= 0.81) and SPEI-3 (r= 0.65) during the study period. In the growing season, VCI anomaly had strong correlations with sorghum and millet (r= 0.67 and 0.75, respectively). A significant agreement was also noticed between the combined drought index (CDI) and vulnerability index (VI) in Burkina Faso (r= -0.676;P< 0.00), Mali (r= -0.768;P< 0.00), Mauritania (r= 0.843;P< 0.001), Niger (r= -0.625;P< 0.001), and Nigeria (r= -0.75;P< 0.005). The results show that the above indices are effective in assessing agricultural drought and its impact on crop production in the Sahel, and in identifying areas most affected by drought. |
| WOS关键词 | STANDARDIZED PRECIPITATION INDEX ; VEGETATION CONDITION INDEX ; METEOROLOGICAL DROUGHT ; AGRICULTURAL DROUGHT ; TIME-SCALES ; VULNERABILITY ; AFRICA ; DESERTIFICATION ; TEMPERATURE ; VARIABILITY |
| 资助项目 | National Key Research and Development Program of China[2019YFC1510203] ; National Key Research and Development Program of China[2018YFC1506502] ; Fundamental Research Funds for Central Non-profit Scientific Institution[1610132020014] ; Open Fund of State Key Laboratory of Remote Sensing Science[OFSLRSS201910] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000565793100007 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | National Key Research and Development Program of China ; Fundamental Research Funds for Central Non-profit Scientific Institution ; Open Fund of State Key Laboratory of Remote Sensing Science |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/157908]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Mao, Kebiao |
| 作者单位 | 1.Ningxia Univ, Sch Phys & Elect Engn, Yinchuan 750021, Ningxia, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 4.Beijing Normal Univ, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Noureldeen, Nusseiba,Mao, Kebiao,Mohmmed, Alnail,et al. Spatiotemporal Drought Assessment over Sahelian Countries from 1985 to 2015[J]. JOURNAL OF METEOROLOGICAL RESEARCH,2020,34(4):760-774. |
| APA | Noureldeen, Nusseiba,Mao, Kebiao,Mohmmed, Alnail,Yuan, Zijin,&Yang, Yanying.(2020).Spatiotemporal Drought Assessment over Sahelian Countries from 1985 to 2015.JOURNAL OF METEOROLOGICAL RESEARCH,34(4),760-774. |
| MLA | Noureldeen, Nusseiba,et al."Spatiotemporal Drought Assessment over Sahelian Countries from 1985 to 2015".JOURNAL OF METEOROLOGICAL RESEARCH 34.4(2020):760-774. |
入库方式： OAI收割
来源：地理科学与资源研究所
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