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      Past and future changes of streamflow in Poyang Lake Basin, Southeastern China

      , , , , , ,
      Hydrology and Earth System Sciences
      Copernicus GmbH

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          Abstract

          <p><strong>Abstract.</strong> To understand the causes of the past water cycle variations and the influence of climate variability on the streamflow, lake storage, and flood potential, we analyze the changes in streamflow and the underlying drivers in four typical watersheds (Gaosha, Meigang, Saitang, and Xiashan) within the Poyang Lake Basin, based on the meteorological observations at 79 weather stations, and datasets of streamflow and river level at four hydrological stations for the period of 1961-2000. The contribution of different climate factors to the change in streamflow in each watershed is estimated quantitatively using the water balance equations. Results show that in each watershed, the annual streamflow exhibits an increasing trend from 1961–2000. The increases in streamflow by 4.80 m<sup>3</sup> s<sup>−1</sup> yr<sup>−1</sup> and 1.29 m<sup>3</sup> s<sup>−1</sup> yr<sup>−1</sup> at Meigang and Gaosha, respectively, are statistically significant at the 5% level. The increase in precipitation is the biggest contributor to the streamflow increment in Meigang (3.79 m<sup>3</sup> s<sup>−1</sup> yr<sup>−1</sup>), Gaosha (1.12 m<sup>3</sup> s<sup>−1</sup> yr<sup>−1</sup>), and Xiashan (1.34 m<sup>3</sup> s<sup>−1</sup> yr<sup>−1</sup>), while the decrease in evapotranspiration is the major factor controlling the streamflow increment in Saitang (0.19 m<sup>3</sup> s<sup>−1</sup> yr<sup>−1</sup>). In addition, radiation and wind contribute more than actual vapor pressure and mean temperature to the changes in evapotranspiration and streamflow for the four watersheds. <br><br> For revealing the possible change of streamflow due to the future climate change, we also investigate the projected precipitation and evapotranspiration from of the Coupled Model Intercomparison Project phase 3 (CMIP3) under three greenhouse gases emission scenarios (SRESA1B, SRESA2 and SRESB1) for the period of 2061–2100. When the future changes in the soil water storage changes are assumed ignorable, the streamflow shows an uptrend with the projected increases in both precipitation and evapotranspiration (except for the SRESB1 scenario in Xiashan watershed) relative to the observed mean during 1961–2000. Furthermore, the largest increase in the streamflow is found at Meigang (+4.31%) and Xiashan (+3.84%) under the SRESA1B scenario, while the increases will occur at Saitang (+6.87%) and Gaosha (+5.15%) under the SRESB1 scenario.</p>

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            Continental runoff has increased through the twentieth century despite more intensive human water consumption. Possible reasons for the increase include: climate change and variability, deforestation, solar dimming, and direct atmospheric carbon dioxide (CO2) effects on plant transpiration. All of these mechanisms have the potential to affect precipitation and/or evaporation and thereby modify runoff. Here we use a mechanistic land-surface model and optimal fingerprinting statistical techniques to attribute observational runoff changes into contributions due to these factors. The model successfully captures the climate-driven inter-annual runoff variability, but twentieth-century climate alone is insufficient to explain the runoff trends. Instead we find that the trends are consistent with a suppression of plant transpiration due to CO2-induced stomatal closure. This result will affect projections of freshwater availability, and also represents the detection of a direct CO2 effect on the functioning of the terrestrial biosphere.
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              Stomatal responses to increased CO2: implications from the plant to the global scale

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                Author and article information

                Journal
                Hydrology and Earth System Sciences
                Hydrol. Earth Syst. Sci.
                Copernicus GmbH
                1607-7938
                2012
                July 09 2012
                : 16
                : 7
                : 2005-2020
                Article
                10.5194/hess-16-2005-2012
                e715bc15-3a98-4bf9-81a2-6ec1d16fabf6
                © 2012

                https://creativecommons.org/licenses/by/3.0/

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