Hydrological hotspots of climatic influence in Brazil: A two-step regularization approach
文献类型：期刊论文
| 作者 | Ndehedehe, Christopher E.2,4; Haile, Gebremedhin G.5,6; Agutu, Nathan O.7; Ferreira, Vagner G.8; Getirana, Augusto1,9; Okwuashi, Onuwa3 |
| 刊名 | ATMOSPHERIC RESEARCH
 |
| 出版日期 | 2020-12-01 |
| 卷号 | 246页码:17 |
| ISSN号 | 0169-8095 |
| 关键词 | Rainfall SPI Drought Support vector machine ENSO Brazil |
| DOI | 10.1016/j.atmosres.2020.105116 |
| 通讯作者 | Ndehedehe, Christopher E.(c.ndehedehe@griffith.edu.au) |
| 英文摘要 | Interest in region-specific assessments of droughts and the need to optimise water resources planning and allocation on a local scale via additional investments in water infrastructures is emerging as novel management initiatives to build drought resilience. In this study, a novel two-step regularization procedure that combines statistical rotation with support vector machine regression (SVMR) is employed to assess and identify hydrological regions in Brazil associated with global climate teleconnection patterns (e.g., ENSO, PDO, etc.). To enhance realistic drought impact assessments, region-specific attributes of drought and the climate modes associated with its variability and characteristics are studied using standardised precipitation index (SPI) and reanalysis data (MERRA). Compared to other regions, results show that drought variability and its occurrence are relatively higher in the extreme north, north-east, and south of Brazil. The predominance of extreme drought events shows that more than 50% of Brazil was affected by the 1998/1999 drought while areas under droughts in recent times fluctuated between 25% in 2012 and 70% in 2015. Results also show significant association of ENSO (e.g., R-2 = 28%) and PDO (e.g., R-2 = 18%) with drought indicators in several climatic hotspots. The synthesis of climate modes as predictors of droughts in the SVMR scheme highlights the influence and importance of the Pacific and Atlantic oceans on drought evolutions in Brazil. The MERRA-derived drought indicator extracted this influence better (e.g., r = 0.72) than the SPI and appears to be a more suitable drought metric to understand the impacts of global climate on extreme events in the region. |
| WOS关键词 | INDEPENDENT COMPONENT ANALYSIS ; TERRESTRIAL WATER STORAGE ; SOIL-MOISTURE ; DROUGHT ; VARIABILITY ; FREQUENCY ; FRAMEWORK ; SEVERITY ; DURATION |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE INC |
| WOS记录号 | WOS:000581845700011 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/156749]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ndehedehe, Christopher E. |
| 作者单位 | 1.NASA, Goddard Space Flight Ctr, Hydrol Sci Lab, Greenbelt, MD USA 2.Griffith Univ, Griffith Sch Environm & Sci, Nathan, Qld 4111, Australia 3.Univ Uyo, Dept Geoinformat & Surveying, PMB 1017, Uyo, Nigeria 4.Griffith Univ, Australian Rivers Inst, Nathan, Qld 4111, Australia 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proces, Beijing, Peoples R China 6.Univ Chinese Acad Sci, Beijing, Peoples R China 7.JKUAT, Dept Geomat Engn & Geospatial Informat Syst, Nairobi, Kenya 8.Hohai Univ, Sch Earth Sci & Engn, Nanjing, Peoples R China 9.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA |
| 推荐引用方式 GB/T 7714 | Ndehedehe, Christopher E.,Haile, Gebremedhin G.,Agutu, Nathan O.,et al. Hydrological hotspots of climatic influence in Brazil: A two-step regularization approach[J]. ATMOSPHERIC RESEARCH,2020,246:17. |
| APA | Ndehedehe, Christopher E.,Haile, Gebremedhin G.,Agutu, Nathan O.,Ferreira, Vagner G.,Getirana, Augusto,&Okwuashi, Onuwa.(2020).Hydrological hotspots of climatic influence in Brazil: A two-step regularization approach.ATMOSPHERIC RESEARCH,246,17. |
| MLA | Ndehedehe, Christopher E.,et al."Hydrological hotspots of climatic influence in Brazil: A two-step regularization approach".ATMOSPHERIC RESEARCH 246(2020):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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