Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jhydrol.2019.124339 |
Assessing land water storage dynamics over South America | |
Ndehedehe, Christopher E.1,2; Ferreira, Vagner G.3 | |
通讯作者 | Ndehedehe, Christopher E. |
来源期刊 | JOURNAL OF HYDROLOGY
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ISSN | 0022-1694 |
EISSN | 1879-2707 |
出版年 | 2020 |
卷号 | 580 |
英文摘要 | The underlying uncertainties in the prediction of freshwater evolutions in some regions can be induced by several unmitigated human actions, multi-scale climatic drivers, and dynamic physical processes. These factors have enduring hydro-ecological effects on the environments and combine to limit our understanding of large scale hydrological processes and impacts of climate on water availability. Considering the fact that several hydrogeological perturbations and disturbances have been reported during the last decade in South America (SA), a further assessment of continental land water storage is therefore warranted. In this study, a two-step regularization approach that combined the JADE (Joint Approximate Diagonalisation of Eigen matrices) algorithm and PLSR (partial least squares regression) was employed to assess GRACE (Gravity Recovery and Climate Experiment)-terrestrial water storage (TWS) over SA. Based on the Bartlett's statistics, significant independent patterns of SST (Sea Surface Temperature) anomalies from the Pacific and Atlantic oceans were used in the PLSR scheme to model the temporal evolutions of TWS (2002 - 2017) over twelve prominent river basins in SA. From the JADE rotation of TWS over SA, strong inter-annual changes in TWS observed over the Amazon basin and within its floodplain corridors were identified. The unabated mass loss in Patagonia ice-field caused by warming of the climate and other GRACE-hydrological signals were also retrieved from the JADE scheme. The rainfall TWS relationship is considerably strong (r = 0.80 at 0 - 2 months lag) in much of tropical SA, including the Amazon basin and highlights the influence of climate variability in the region. Medium (r = 0.40) and moderately strong (r = 0.60) rainfall-TWS relationship were also found to be significant (a = 0.05) but with up to 4 months lag and more in some basins. During the 2010 - 2017 period, estimated TWS trends (a = 0.05) showed a considerable fall in Orinoco (- 38.48 +/- 7.90 mm/yr) and Sao Francisco (- 30.84 +/- 4.17) while the strongest rise was found in Uruguay (28.28 +/- 3.49 mm/yr). As the rainfall-TWS relationship is not statistically significant (a = 0.05) in some areas, the spatial distribution of trends in TWS and rainfall, especially in some arid regions, which are inconsistent confirm possible impacts resulting from complex hydrogeological processes and/or anthropogenic influence. Further, in the modelling of TWS time series using the JADE-PLSR scheme, several validation skill metrics (e.g., R-2 , Nash-Sutcliffe Efficiency) confirm the considerable agreements between predicted and observed TWS in the Amazon (R-2 = 0.95), Orinoco (R-2 = 0.94), Tocantins (R-2 = 0.91), and Chobut (R-2 = 0.88). However, GRACE-hydrological signals in some regions are somewhat complex given the relatively higher uncertainties in the multivariate models employed in this study. |
英文关键词 | Rainfall Sea surface temperature Amazon basin Partial least square regression ENSO Climate variability |
类型 | Article |
语种 | 英语 |
国家 | Australia ; Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000509620900042 |
WOS关键词 | WEST-AFRICA ; SPATIOTEMPORAL VARIABILITY ; CLIMATE EXPERIMENT ; GRAVITY RECOVERY ; PLS-REGRESSION ; RIVER-BASIN ; GRACE ; DROUGHT ; RAINFALL ; TRENDS |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS研究方向 | Engineering ; Geology ; Water Resources |
来源机构 | 河海大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/314981 |
作者单位 | 1.Griffith Univ, Australian Rivers Inst, Nathan, Qld 4111, Australia; 2.Griffith Univ, Griffith Sch Environm & Sci, Nathan, Qld 4111, Australia; 3.Hohai Univ, Sch Earth Sci & Engn, Nanjing, Peoples R China |
推荐引用方式 GB/T 7714 | Ndehedehe, Christopher E.,Ferreira, Vagner G.. Assessing land water storage dynamics over South America[J]. 河海大学,2020,580. |
APA | Ndehedehe, Christopher E.,&Ferreira, Vagner G..(2020).Assessing land water storage dynamics over South America.JOURNAL OF HYDROLOGY,580. |
MLA | Ndehedehe, Christopher E.,et al."Assessing land water storage dynamics over South America".JOURNAL OF HYDROLOGY 580(2020). |
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