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Spatial and temporal precipitation variability in the source region of the Yellow River

机译:黄河源区的时空降水变化。

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摘要

Spatial patterns of annual and seasonal precipitation over the source region of the Yellow River and the corresponding long-term trends for the period 1960-2013 are investigated using the meteorological station data. The spatial precipitation variability analysis shows an increasing gradient of precipitation from northeast to southwest in the study area. Annual, spring, summer, and winter precipitation present increasing trend, but autumn precipitation shows a decreasing trend in the last 50 years. It is also noted that the distribution of the intra-annual precipitation is very uneven, precipitation in rainy season (May-October) accounts for about 90 % of the total annual rain. Meanwhile, this research analyzes the spatial precipitation characteristic of the rainy season in 2013 (mainly from June to September). Based on the observed precipitation data and the meteorological station data, the rainy season precipitation that varies according to different topographic conditions is analyzed, and the regression model between recorded precipitation and geographical factors is built up too. The spatial distribution graph of the rainy season precipitation is generated on GIS platform by regression model and graphical features. This distribution shows a general northeast-southwest gradient of increasing rainy season precipitation in the study area and has detailed spatial precipitation characteristic along with altitude.
机译:利用气象台站数据调查了黄河源区年降水量和季节性降水的空间格局以及1960-2013年期间的相应长期趋势。空间降水变异性分析显示,研究区域内从东北到西南的降水梯度增加。在过去的50年中,年降水量,春季,夏季和冬季的降水呈上升趋势,而秋季降水呈下降趋势。还应注意的是,年内降水的分布非常不均匀,雨季(5月至10月)的降水约占年降水总量的90%。同时,本研究分析了2013年(主要是6月至9月)雨季的空间降水特征。根据观测的降水量数据和气象台站数据,分析了根据地形条件变化的雨季降水量,建立了降水量与地理因子之间的回归模型。通过回归模型和图形特征,在GIS平台上生成了雨季降水的空间分布图。该分布表明研究区域雨季降水呈东北-西南向总体梯度分布,并随着海拔高度具有详细的空间降水特征。

著录项

  • 来源
    《Environmental earth sciences》 |2016年第7期|594.1-594.14|共14页
  • 作者单位

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    The source region of the Yellow River; Spatio-temporal precipitation variability; Precipitation regression; GIS;

    机译:黄河源区时空降水变化降水回归GIS;

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