Aiming to analyse the variation of seasonal reference crop evapotranspiration (ET 0 ) and show the impact of meteorological factors on ET 0 across Sichuan Province, this study mainly discussed the variation of ET 0 during the periods of 1967-2016 in three subregions of Sichuan Province with the Mann-Kendall test (MK), Morlet wavelet analysis and path analysis. Meanwhile, future ET 0 trend variation characteristics at different timescales were evaluated by Hurst exponents based on the rescaled range analysis (R/S) method. The results indicated that over the past 50 years, annual ET 0 had a decreasing trend with a rate of À0.64 mm per10 years, confirming the existence of an 'evaporation paradox'. Through spatial analysis, the distribution of average annual ET 0 exhibited a declining trend from south to north over the study region. On the seasonal scale, the highest values of ET 0 in summer were distributed in the Sichuan central basin while the highest values in other seasons were in the south-western mountain area. The Hurst exponents showed that the trends of annual and seasonal ET 0 in the future are consistent with past ones in the whole region (H > 0.5). The annual ET 0 showed the obvious periodic variation of 28 years in the study regions based on Morlet wavelet analysis. The decreases in ET 0 were mostly attributed to the decline in sunshine hours.These findings can help water managers in better water planning and irrigation scheduling for local agricultural production.
In this paper, the long-term dynamics of water balance components in two different contrasting ecosystems in Australia were simulated with an ecohydrological model (WAter Vegetation Energy and Solute modelling (WAVES)) over the period 1950–2015. The selected two ecosystems are woodland savanna in Daly River and Eucalyptus forest in Tumbarumba. The WAVES model was first manually calibrated and validated against soil water content measured by cosmic-ray probe and evapotranspiration measured with eddy flux techniques. The calibrated model was then used to simulate long-term water balance components with observed climate data at two sites. Analyzing the trends and variabilities of potential evapotranspiration and precipitation is used to interpret the climate change impacts on ecosystem water balance. The results showed that the WAVES model can accurately simulate soil water content and evapotranspiration at two study sites. Over the period of 1950–2015, annual evapotranspiration at both sites showed decreasing trends (−1.988 mm year−1 in Daly and −0.381 mm year−1 in Tumbarumba), whereas annual runoff in Daly increased significantly (5.870 mm year−1) and decreased in Tumbarumba (–0.886 mm year−1). It can be concluded that the annual runoff trends are consistent with the rainfall trends, whereas trends in annual evapotranspiration are influenced by both rainfall and potential evapotranspiration. The results can provide evidence for controlling the impacting factors for different ecosystems under climate change.
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