Spatial distribution and temporal trends in potential evapotranspiration over Hengduan Mountains region from 1960 to 2009

Abstract:Evapotranspiration is an important component of the hydrological cycle, which integrates atmospheric demands and surface conditions. Research on spatial and temporal variations of reference evapotranspiration (ET o ) enables understanding of climate change and its effects on hydrological processes and water resources. In this study, ET o was estimated by the FAO-56 PenmanMonteith method in the Jing River Basin in China, based on daily data from 37 meteorological stations from 1960 to 2005. ET o trends were detected by the Mann-Kendall test in annual, seasonal, and monthly timescales. Sensitivity coefficients were used to examine the contribution of important meteorological variables to ET o . The influence of agricultural activities, especially irrigation on ET o was also analyzed. We found that ET o showed a decreasing trend in most of the basin in all seasons, except for autumn, which showed an increasing trend. Mean maximum temperature was generally the most sensitive parameter for ET o , followed by relative humidity, solar radiation, mean minimum temperature, and wind speed. Wind speed was the most dominant factor for the declining trend in ET o . The more significant decrease in ET o for agricultural and irrigation stations was mainly because of the more significant decrease in wind speed and sunshine hours, a mitigation in climate warming, and more significant increase in relative humidity compared with natural stations and non-irrigation stations. Changes in ET o and the sensitivity coefficient of meteorological variables in relation to ET o were also affected by topography. Better understanding of ET o response to climate change will enable efficient use of agricultural production and water resources, which could improve the ecological environment in Jing River Basin.

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“…Zhu et al . () found a decreasing trend since the 1960s over the Hengduan Mountains in southwest China. Zhang et al .…”

Section: Introductionmentioning

confidence: 80%

Spatiotemporal variation and driving forces of reference evapotranspiration in Jing River Basin, northwest China

Shi

Wang

et al. 2015

Hydrological Processes

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“…The method is characterized by fitting a smooth and continuous surface with the observation points and does not need a preliminary estimate for the structure of temporal variance and statistical hypothesis (Zhu et al, 2012). Previous researches have shown that results from spline were more favorable around topographic features, compared with other interpolation methods, including Kriging (Hutchinson and Gessler, 1994;Price et al, 2000;Jones et al, 2009) …”

Section: Spatial Interpolationmentioning

confidence: 99%

Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing–Tianjin Sand Source Control Project Region, China

Shan

Shi

Yang

et al. 2015

Agricultural and Forest Meteorology

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“…Mean temperature and indices trends were spatially interpolated using the spline method. This is characterized by fitting a smooth and continuous surface with the observation points, and it does not require a preliminary estimate for the structure of a temporal variance and statistical hypothesis [52]. In comparison with other methods, previous studies, for example, those using Kriging [53,54] and those analyzing climatic and meteorological change [55][56][57][58], have shown the spline method to be more advantageous around topographic features.…”

Section: Spatial Interpolation Of Mean Temperature and Extremesmentioning

confidence: 99%

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

Wei

Wang

Zhang

et al. 2018

Advances in Meteorology

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In order to examine temperature changes and extremes in the Beijing-Tianjin Sand Source Region (BTSSR), ten extreme temperature indices were selected, categorized, and calculated spanning the period 1960-2014, and the spatiotemporal variability and trends of temperature and extremes on multitimescales in the BTSSR were investigated using the Mann-Kendall (M-K) test, Sen's slope estimator, and linear regression. Results show that mean temperatures have increased and extreme temperature events have become more frequent. Annual temperature has recorded a significant increasing trend over the BTSSR, in which 51 stations exhibited significant increasing trends ( < 0.05); winter temperature recorded the most significant increasing trend in the northwest subregion. All extreme temperature indices showed warming trends at most stations; a higher warming slope in extreme temperature mainly occurred along the northeast border and northwest border and in the central-southern mountain area. As extreme low temperature events decrease, vegetation damage due to freezing temperatures will reduce and low cold-tolerant plants may expand their distribution range northward to revegetate barren areas in the BTSSR. However, in water-limited areas of the BTSSR, increasing temperatures in the growing season may exacerbate stress associated with plants relying on precipitation due to higher temperatures combining with decreasing precipitation.

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Spatial distribution and temporal trends in potential evapotranspiration over Hengduan Mountains region from 1960 to 2009

Cited by 40 publications

References 12 publications

Spatiotemporal variation and driving forces of reference evapotranspiration in Jing River Basin, northwest China

Spatiotemporal variation and driving forces of reference evapotranspiration in Jing River Basin, northwest China

Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing–Tianjin Sand Source Control Project Region, China

Temporal Trends and Spatial Patterns of Temperature and Its Extremes over the Beijing-Tianjin Sand Source Region (1960–2014), China

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