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Reference evapotranspiration change and the causes across the Yellow River Basin during 1957-2008 and their spatial and seasonal differences

机译:1957-2008年黄河流域参考蒸散量变化及其成因及其空间和季节差异

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摘要

As an indicator of atmospheric evaporating capability over a hypothetical reference surface, reference evapotranspiration (ET_0) is the most important hydrological and meteorological variable to reflect climate change. This is particularly true for the Yellow River Basin, which faces serious water shortages and is vulnerable to climate change. In this study, the ET_0 at 80 sites during 1957-2008 in the Yellow River Basin was calculated using the Penman-Monteith method with the calibrated Angstrom coefficients. Spatial and seasonal patterns of changes in ET_0 as well as the concerned climatic variables are specially focused on using advanced statistical tests and GIS method. The entire Yellow River Basin is characterized by complicated spatial variability in the change of ET_0. Significant negative trends are mainly distributed in the southeast corner, northern side, and midwest of the Yellow River Basin, while significant increases of ET_0 mainly occur in the middle part and southwest corner of the basin. Still, no coherent spatial patterns in ET_0 trends are seen in any season. The dominance of warming trends in temperature and decreasing trends in wind speed and sunshine duration can be found in the basin. Relative humidity presents insignificant or weak trends at many sites but with a mixed spatial structure of positive and negative trends at both annual and seasonal scales. The combined effects of climatic variables to ET_0 changes and their spatial and seasonal variability are revealed by further analysis of sensitivity of ET_0 to climatic variables and the contribution of climatic variables to ET_0 changes over six homogenous regions identified by a rotated empirical orthogonal function (REOF) clustering method on annual and seasonal scales. The decline of surface wind speed offsets the increasing effect of the temperature increase and is mainly responsible for the ET_0 reduction in the west and north of the Loess Plateau. The reduced sunshine duration is the leading factor for ET_0 decrease in the middle-lower Yellow River Plain, especially during the summer time. The increasing mean temperature plays the most important role in the ET_0 increase in the source area of the Yellow River Basin. Furthermore, regional actual evapotranspiration and ET_0 present complementary behavior, but does not accurately fall in the 1:1 complementary relationship of the Bouchet's hypothesis, especially for the high elevation subregions. In addition, although precipitation changes are the main driving factors for drought variation, increasing ET_0 intensified the drought in middle regions.
机译:作为假想参考面上大气蒸发能力的指标,参考蒸散量(ET_0)是反映气候变化的最重要的水文和气象变量。对于面临严重缺水且易受气候变化影响的黄河流域,尤其如此。在这项研究中,使用Penman-Monteith方法和校正后的Angstrom系数计算了黄河流域1957-2008年80个站点的ET_0。 ET_0的变化的空间和季节模式以及相关的气候变量特别关注于使用高级统计检验和GIS方法。整个黄河流域的特征是ET_0的变化具有复杂的空间变异性。显着的负趋势主要分布在黄河流域的东南角,北侧和中西部,而ET_0的显着增加主要发生在流域的中部和西南角。尽管如此,在任何季节都没有看到ET_0趋势的连贯空间格局。在盆地中可以发现温度变暖趋势占主导地位,风速和日照持续时间呈下降趋势。在许多地点,相对湿度的变化趋势不明显或较弱,但在年度和季节尺度上,正向和负向趋势的混合空间结构均不明显。通过进一步分析ET_0对气候变量的敏感性以及由旋转经验正交函数(REOF)识别的六个同质区域上气候变量对ET_0变化的贡献,揭示了气候变量对ET_0变化及其空间和季节变化的综合影响。年度和季节尺度的聚类方法。地表风速的下降抵消了温度升高的增加影响,并且主要是造成黄土高原西部和北部ET_0减少的原因。日照时间的减少是黄河中下游平原ET_0减少的主要原因,尤其是在夏季。平均温度的升高在黄河流域源区的ET_0升高中起着最重要的作用。此外,区域实际蒸散量和ET_0表现出互补的行为,但并没有准确地落在Bouchet假说的1:1互补关系中,特别是对于高海拔子区域。此外,尽管降水变化是干旱变化的主要驱动因素,但ET_0的增加加剧了中部地区的干旱。

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  • 来源
    《Water resources research》 |2012年第5期|p.W05530.1-W05530.27|共27页
  • 作者单位

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China,CSIRO Mathematics, Informatics and Statistics, Floreat Park, Washington, Australia,College of Hydrology and Water Resources, Hohai University, Nanjing, China;

    CSIRO Mathematics, Informatics and Statistics, Floreat Park, Washington 4016, Australia;

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

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