DOI: 10.1016/j.scitotenv.2020.137354
论文题名: Characterization of the hydro-geological regime of Yangtze River basin using remotely-sensed and modeled products
作者: Ferreira V.G. ; Yong B. ; Tourian M.J. ; Ndehedehe C.E. ; Shen Z. ; Seitz K. ; Dannouf R.
刊名: Science of the Total Environment
ISSN: 489697
出版年: 2020
卷: 718 语种: 英语
英文关键词: GRACE
; Groundwater
; Mascon
; PCA
; Quantile function of storage
; Surface water
Scopus关键词: Aquifers
; Budget control
; Climate change
; Geodetic satellites
; Groundwater
; Groundwater resources
; Hydrogeology
; Rivers
; Soil moisture
; Surface waters
; Water content
; Annual precipitation
; Correlation coefficient
; GRACE
; Gravity recovery and climate experiments
; Land data assimilation systems
; Mascon
; Quantile functions
; Terrestrial water storage
; Digital storage
; ground water
; ice
; rain
; snow
; surface water
; GRACE
; groundwater
; hydrogeology
; hydrological regime
; principal component analysis
; remote sensing
; surface water
; water content
; aquifer
; Article
; canopy
; China
; climate change
; controlled study
; correlation coefficient
; drought
; environmental aspects and related phenomena
; environmental impact
; geographic and geological phenomena
; geographic distribution
; Global Land Data Assimilation System
; global positioning system
; Gravity Recovery and Climate Experiment
; hydro geological regime
; hydrology
; land biome
; mathematical model
; Nash Sutcliffe efficiency
; Noah land surface model
; priority journal
; remote sensing
; river basin
; runoff model (hydrology)
; satellite imagery
; soil moisture
; spatial analysis
; statistical analysis
; temporal analysis
; time series analysis
; water content
; Water Global Assessment and Prognosis model
; water supply
; Yangtze river basin
; China
; Yangtze Basin
英文摘要: The hydrology of the Third Pole, Asia's freshwater tower, has shown considerable sensitivity to the impacts of climate change and human interventions, which affect the headwaters of many rivers that originate therein. For example, the Yangtze River has its basin (YRB) experiencing wetness of terrestrial water storage (TWS), whose rainfall seems to be the primary source as inferred from the previous studies. Consequently, it is crucial to understand the contributions of each TWS's sub-domain - i.e., groundwater (GWS); total water content (TWC) stored as soil moisture, ice/snow, and canopy; and the surface water (SWS) storages - on YRB's wetness. Hence, SWS, from altimetry and imagery satellites, and TWC, from Global Land Data Assimilation System, are inverted considering the same basis function as for TWS from the Gravity Recovery and Climate Experiment, which account for the differences in the resolutions inherent in each product. Furthermore, a “tie-in” signal approach is used to fit the temporal patterns of GWS, TWC, and SWS to TWS (i.e., the observations). Results show improvements in the reconstructed GWS series concerning standard deviation, correlation coefficient, and Nash–Sutcliffe efficiency of 22%, 27%, and 120%, respectively, regarding the use of the TWS-budget equation. The reconstructed time series of GWS, TWC, and SWS present an increase of 1.76, 2.69, and 0.14 mm per year (mm/yr) and that YRB loses water stored at its aquifers 55% of the time (regarding 2003–2016 period) based on the quantile function of storage (QFS). The QFS's slope shows that TWS has a fast and small storage potential w.r.t. GWS since inland waters and soil moisture reflect the dryness impacting TWS first. Despite the evidence of an increase of 19.05 mm/yr in annual precipitation, which seems to explain the bulk in TWS, further investigation to characterize controls on TWS memory within YRB is still necessary. © 2020 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158181
Appears in Collections: 气候变化与战略
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作者单位: State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; School of Earth Sciences and Engineering, Hohai University, Nanjing, 211100, China; Institute of Geodesy, University of Stuttgart, Stuttgart, 70174, Germany; Australian Rivers Institute and Griffith School of Environment & Science, Griffith University, Nathan, Queensland, 4111, Australia; Geodetic Institute, Karlsruhe Institute of Technology, Karlsruhe, 76128, Germany
Recommended Citation:
Ferreira V.G.,Yong B.,Tourian M.J.,et al. Characterization of the hydro-geological regime of Yangtze River basin using remotely-sensed and modeled products[J]. Science of the Total Environment,2020-01-01,718