Recent changes in pan-evaporation dynamics in China

Liu, Xiaomang; Luo, Yuzhou; Zhang, Dan; Zhang, Minghua; Liu, Changming

doi:10.1029/2011gl047929

Cited by 150 publications

(162 citation statements)

References 18 publications

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“…The decreasing ET 0 trend also was found in the Beijing-Tianjin Sand Source Control Project Region in China from 1959 to 2011 (Shan et al 2015). Liu et al (2011) reported that pan evaporation decreased in China from 1960 to 1991 while increased from 1992 to 2007. Much longer series of observation data are required to analyze how the phenomenon of "evaporation paradox" will change in future .…”

Section: Discussionmentioning

confidence: 79%

Reference evapotranspiration change and its sensitivity to climate variables in southwest China

Liu

Lai

et al. 2015

Theor Appl Climatol

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Reference evapotranspiration (ET 0 ) is the key factor for hydrologic water balance, irrigation scheduling, and water resources planning. Based on Food and Agriculture Organization (FAO) Penman-Monteith method and the climate variables of 57 meteorological stations from 1960 to 2010 in southwest China, the spatial and temporal distributions of ET 0 were analyzed by using Mann-Kendall test and Sen's slope estimator. Sensitivity coefficient was used to analyze the sensitivities of ET 0 to four climate variables, and the key climate variables attributed to ET 0 change were determined. Result showed that there was a slight downward trend of ET 0 from 1960 to 2010 and spatially increasing trend from northeast to southwest in annual time scale. Results also showed that ET 0 had relatively higher sensitivity to wind speed and mean air temperature, and wind speed was the dominant variable for change of ET 0 in southwest China. The inverse relationship between increasing air temperature and decreasing evaporation, Bevaporation paradox,^existed in southwest China, and the negative contribution of wind speed to the changes of ET 0 offset the positive contribution of air temperature.

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Section: Discussionmentioning

confidence: 79%

Reference evapotranspiration change and its sensitivity to climate variables in southwest China

Liu

Lai

et al. 2015

Theor Appl Climatol

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“…In this study, the relationship between potential evapotranspiration and air temperature, solar radiation, wind speed and vapour pressure are described based on the Penman-Monteith equation. So the change in potential evapotranspiration can be estimated as (Liu et al 2011):…”

Section: Analytical Methods To Separate the Effects Of Climate Change mentioning

confidence: 99%

Quantifying the effects of climate change and human activities on runoff in the water source area of Beijing, China

Xia

Zeng

et al. 2014

Hydrological Sciences Journal

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Quantitative assessment of the effects of climate change and human activities on runoff is very important for regional sustainable water resources adaptive management. In this study, the non-parametric Mann-Kendall test is used to identify the trends in and change points of the annual runoff with the aim of analysing the changing characteristics of the hydrological cycle. The study presents the analytical derivation of a method which combines six Budyko hypothesis-based water-energy balance equations with the PenmanMonteith equation to separate the effects of climate change and human activities. The method takes several climate variables into consideration. Results based on data from the Yongding River basin, China, show that climate change is estimated to account for 10.5-12.6% of the reduction in annual runoff and human activities contribute to 87.4-89.5% of the runoff decline. The results indicate that human activities are the main driving factors for the reduction in runoff.Key words climate change; human activities; runoff; Yongding River basin, China Quantification des effets du changement climatique et des activités humaines sur l'écoulement dans la zone d'alimentation en eau de Pékin, Chine Résumé L'évaluation quantitative des effets du changement climatique et des activités humaines sur l'écoulement est très important pour une gestion durable et adaptative des ressources en eau régionales. Dans cette étude, le test non paramétrique de Mann-Kendall a été utilisé pour identifier les tendances et les sauts de l'écoulement annuel afin d'analyser l'évolution des caractéristiques du cycle hydrologique. L'étude présente l'établissement une méthode analytique qui combine six équations de bilan eau-énergie basées sur l'hypothèse de Budiko avec l'équation de Penman-Monteith, pour séparer les effets du changement climatique et ceux des activités humaines. La méthode prend plusieurs variables climatiques en considération. Les résultats basés sur les données du bassin de la rivière Yongding, en Chine, montrent que l'on peut estimer que la réduction de l'écoulement annuel prévu serait due pour 10,5 à 12,6% au changement climatique et pour 87,4 à 89,5% aux activités humaines. Ces résultats indiquent que les activités humaines sont le principal facteur responsable de la réduction de l'écoulement.

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“…The nonparametric Mann-Kendall test (Kendall 1975;Mann 1945) was conducted to determine whether the trend of the regression line was significant, which was widely used for trend detection due to its robustness for non-normally distributed data (Belle and Hughes 1984;Partal and Kahya 2006;Abarghouei et al 2011;Liu et al 2011). For a given data series composed of X 1 , X 2 …X n , their ranks are R 1 , R 2 … R n , and the Mann--Kendall rank statistic (S) is calculated as:…”

Section: Methodsmentioning

confidence: 99%

The Yellow River basin becomes wetter or drier? The case as indicated by mean precipitation and extremes during 1961–2012

Liang

Liu

Bai

et al. 2014

Theor Appl Climatol

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The Yellow River basin could be divided into three sub-regions, which makes it as the ideal target for studying regional climate change. On the basis of daily precipitation at 62 meteorological stations in the Yellow River basin, spatial distribution and temporal trends of annual and monthly mean precipitation and extremes were analyzed during 1961-2012. The Mann-Kendall trend test and linear least-square method were used to detect trends and magnitudes in annual and monthly mean precipitation and extremes. The results indicate that mean precipitation and extremes have different trends, and the three sub-regions also have distinct trends.

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Recent changes in pan-evaporation dynamics in China

Cited by 150 publications

References 18 publications

Reference evapotranspiration change and its sensitivity to climate variables in southwest China

Reference evapotranspiration change and its sensitivity to climate variables in southwest China

Quantifying the effects of climate change and human activities on runoff in the water source area of Beijing, China

The Yellow River basin becomes wetter or drier? The case as indicated by mean precipitation and extremes during 1961–2012

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