Understanding the hydrological trends of river basins in China

Cong, Zhen; Zhao, Jianrong; Yang, Dawen; Ni, Guangheng

doi:10.1016/j.jhydrol.2010.05.013

Cited by 54 publications

(42 citation statements)

References 31 publications

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“…3, it can be seen that the annual ET 0 had an increasing trend after 1991, although it had a generally decreasing trend from 1960 to 2010 in southwest China. Cong et al (2010) ). Liu and Zeng (2004) found, however, that pan evaporation had a decreasing trend over Yellow River basin from 1961 to 2000.…”

Section: Discussionmentioning

confidence: 99%

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: 99%

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

Liu

Lai

et al. 2015

Theor Appl Climatol

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“…According to Cong et al (2009Cong et al ( , 2010, E pan increases in the north while continues to decrease in the south after 1986; in discordance with the spatial pattern of solar brightening. This suggests that other factors other than solar radiation also influence E pan .…”

Section: Implications For Pan Evaporationmentioning

confidence: 93%

China's dimming and brightening: evidence, causes and hydrological implications

Wang

Yang

2014

Ann. Geophys.

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Abstract. There is growing evidence that, corresponding to global dimming and brightening, surface solar radiation and sunshine hours over China have undergone decadal fluctuations during the 1960s-2000s. The results of a number of these analyses are, however, very different. In this study, we synthesize reliable results and conclusively address recent advances and insufficiencies in studies on dimming and brightening in China. A temporally and spatially prevalent dimming trend is noted in surface solar radiation, direct solar radiation and sunshine hours since the 1960s. Meanwhile, the changing trend in diffuse solar radiation is less pronounced. Increasing anthropogenic aerosol loading is regarded as the most plausible explanation for China's dimming. The brightening trend since 1990, which mainly occurs in southeastern China and in the spring season, is weak and insignificant. The reverse in the solar radiation trend is associated with climate change by cloud suppression and slowdown in anthropogenic emissions. The future solar radiation trend in China could largely depend on the development of air quality control. Other potential driving factors such as wind speed, water vapor and surface albedo are also non-negligible in specific regions of China. Hydrological implications of dimming and brightening in China lack systematic investigation. However, the fact that solar radiation and pan evaporation trends in China track a similar curve in 1990 further suggests that the pan evaporation paradox could be partly resolved by changes in solar radiation.

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“…Zhou et al (2009) pointed out that precipitation plays a more important role in altering the interannual variations of annual ET over China than temperature does. Cong et al (2010) concluded that precipitation had a greater impact on ET in the north than in the south. In a study on global ET linkages to MAT and precipitation during the 1982-2008 period, Jung et al (2010) declared that precipitation dominated inter-annual ET behavior in northern China, but in southern China ET was mainly temperature limited.…”

Section: Linkage Of Et To Climate Factorsmentioning

confidence: 99%

Evapotranspiration and water yield over China's landmass from 2000 to 2010

Liu

Zhou

et al. 2013

Hydrol. Earth Syst. Sci.

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Abstract. Terrestrial carbon and water cycles are interactively linked at various spatial and temporal scales. Evapotranspiration (ET) plays a key role in the terrestrial water cycle, altering carbon sequestration of terrestrial ecosystems. The study of ET and its response to climate and vegetation changes is critical in China because water availability is a limiting factor for the functioning of terrestrial ecosystems in vast arid and semiarid regions. To constrain uncertainties in ET estimation, the process-based Boreal Ecosystem Productivity Simulator (BEPS) model was employed in conjunction with a newly developed leaf area index (LAI) data set, MODIS land cover, meteorological, and soil data to simulate daily ET and water yield at a spatial resolution of 500 m over China for the period from 2000 to 2010. The spatial and temporal variations of ET and water yield were analyzed. The influences of climatic factors (temperature and precipitation) and vegetation (land cover types and LAI) on these variations were assessed.Validations against ET measured at five ChinaFLUX sites showed that the BEPS model was able to simulate daily and annual ET well at site scales. Simulated annual ET exhibited a distinguishable southeast to northwest decreasing gradient, corresponding to climate conditions and vegetation types. It increased with the increase of LAI in 74 % of China's landmass and was positively correlated with temperature in most areas of southwest, south, east, and central China. The correlation between annual ET and precipitation was positive in the arid and semiarid areas of northwest and north China, but negative in the Tibetan Plateau and humid southeast China. The national annual ET varied from 345.5 mm in 2001 to 387.8 mm in 2005, with an average of 369.8 mm during the study period. The overall rate of increase, 1.7 mm yr −1 (R 2 = 0.18, p = 0.19), was mainly driven by the increase of total ET in forests. During 2006During -2009 and LAI decreased widely and consequently caused a detectable decrease in national total ET. Annual ET increased over 62.2 % of China's landmass, especially in the cropland areas of the southern Haihe River basin, most of the Huaihe River basin, and the southeastern Yangtze River basin. It decreased in parts of northeast, north, northwest, south China, especially in eastern Qinghai-Tibetan Plateau, the south of Yunnan Province, and Hainan Province. Reduction in precipitation and increase in ET caused vast regions in China, especially the regions south of Yangtze River, to experience significant decreases in water yield, while some sporadically distributed areas experienced increases in water yield. This study shows that the terrestrial water cycles in China's terrestrial ecosystems appear to have been intensified by recent climatic variability and human induced vegetation changes.

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Understanding the hydrological trends of river basins in China

Cited by 54 publications

References 31 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

China's dimming and brightening: evidence, causes and hydrological implications

Evapotranspiration and water yield over China's landmass from 2000 to 2010

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