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.2017 Nov 13;7(1):15458.
doi: 10.1038/s41598-017-15678-x.

Contrasting runoff trends between dry and wet parts of eastern Tibetan Plateau

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Contrasting runoff trends between dry and wet parts of eastern Tibetan Plateau

Yuanyuan Wang et al. Sci Rep..

Abstract

As the "Asian Water Tower", the Tibetan Plateau (TP) provides water resources for more than 1.4 billion people, but suffers from climatic and environmental changes, followed by the changes in water balance components. We used state-of-the-art satellite-based products to estimate spatial and temporal variations and trends in annual precipitation, evapotranspiration and total water storage change across eastern TP, which were then used to reconstruct an annual runoff variability series for 2003-2014. The basin-scale reconstructed streamflow variability matched well with gauge observations for five large rivers. Annual runoff increased strongly in dry part because of increases in precipitation, but decreased in wet part because of decreases in precipitation, aggravated by noticeable increases in evapotranspiration in the north of wet part. Although precipitation primarily governed temporal-spatial pattern of runoff, total water storage change contributed greatly to runoff variation in regions with wide-spread permanent snow/ice or permafrost. Our study indicates that the contrasting runoff trends between the dry and wet parts of eastern TP requires a change in water security strategy, and attention should be paid to the negative water resources impacts detected for southwestern part which has undergone vast glacier retreat and decreasing precipitation.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
Comparison of observed and estimatedQ anomaly time-series at the five gauges. Error bars are standard error generated from the fourET products. Luning basin is short of one year due to data missing. Blue lines are the river network. Red dots are the five streamflow gauges. Two gauges are for the Yangtze River (purple represents the Yangtze River basin) and one gauge is for each of the other three rivers (blue denotes the Yellow river basin, yellow represents the Mekong river basin, and orange the Salween river basin). Coloured area is the extent of eastern TP in this study. The map was generated using Google Earth (v 7.1.7.2606,https://www.google.com/earth/), Image Landsat/Copernicus.
Figure 2
Figure 2
Contributions of water balance components toQ annual variation for eastern TP region shown in Fig. 1 for 2003–2014. (a), the coefficient of determination (R2) when onlyP is used to estimateQ variation. (b), additional R2 whenET together withP is used for estimatingQ variation. (c), additional R2 when ΔTWS together withP is used for estimatingQ variation. The maps were generated using ENVI (v 4.5,https://www.harris.com/solution/envi) © 2017 Harris Corporation.
Figure 3
Figure 3
Spatial pattern of trends inP,ET, ΔTWS,Q,TWS and meanP values for eastern TP region shown in Fig. 1 for 2003–2014. The maps were generated using ENVI (v 4.5,https://www.harris.com/solution/envi) © 2017 Harris Corporation.
Figure 4
Figure 4
Uncertainties inET trends, ΔTWS trends, andQ trends for eastern TP region shown in Fig. 1. (a), uncertainties inET trends by considering the standard deviations of fourET products. (b), uncertainties in ΔTWS trends by considering the inversion error of masconTWS. (c), uncertainties in reconstructedQ trends. Please note that uncertainties in ΔTWS trends are much smaller than the uncertainties inET trends or inQ trends.Q trends are less uncertain thanET trends becauseQ trends are dominated byP trends. The maps were generated using ENVI (v 4.5,https://www.harris.com/solution/envi) © 2017 Harris Corporation.
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