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Spatial and temporal variability of precipitation indices during 1961-2010 in Hunan Province, central south China

机译:1961-2010年中国中部湖南省降水指数的时空变化

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摘要

Based on daily precipitation records at 75 meteorological stations in Hunan Province, central south China, the spatial and temporal variability of precipitation indices is analyzed during 1961-2010. For precipitation extremes, most of precipitation indices suggest that both the amount and the intensity of extreme precipitation are increasing, especially the mean precipitation amount on a wet day, showing a significant positive trend. Meanwhile, both of the monthly rainfall heterogeneity and the contribution of the days with the greatest rainfall show an upward trend. When it comes to rainfall erosivity, most of this province is characterized by high values of annual rainfall erosivity. Although the directions of trends in annual rainfall erosivity at most stations are upward, only 6 of the 75 stations have significant trends. Furthermore, the spatial and temporal variation of dryness/wetness has been assessed by the standardized precipitation index (SPI). The principal component analysis (PCA) was applied to the SPI series computed on 24-month time scales. The results demonstrated a noticeable spatial variability with three subregions characterized by different trends: a remarkable wet tendency prevails in the central and southern areas, while the northern areas are dominated by a remarkable dry tendency.
机译:根据华中地区湖南省75个气象站的每日降水记录,分析了1961-2010年期间降水指数的时空变化。对于极端降水,大多数降水指数都表明极端降水的数量和强度都在增加,特别是在湿天的平均降水量呈明显的正趋势。同时,月降雨量非均质性和降雨量最大的日子的贡献均呈上升趋势。在降雨侵蚀力方面,该省大部分地区的特点是每年的降雨侵蚀力很高。尽管大多数气象站的年降雨侵蚀力趋势方向是向上的,但在75个气象站中只有6个具有明显的趋势。此外,干燥/湿润的时空变化已通过标准化降水指数(SPI)进行了评估。将主成分分析(PCA)应用于按24个月时间尺度计算的SPI系列。结果表明,三个子区域具有明显的空间变化,其特征是趋势不同:中部和南部地区普遍存在明显的湿润趋势,而北部地区则主要存在明显的干旱趋势。

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  • 来源
    《Theoretical and applied climatology》 |2014年第3期|581-595|共15页
  • 作者单位

    Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;

    Applied Hydrometeorological Research Institute, Key Laboratory of Meteorological Disaster of Ministry of Education,Nanjing University of Information Science & Technology,Nanjing 210044, China;

    Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;

    Jiangsu Key Laboratory of Forestry Ecological Engineering,College of Forest Source & Environment, Nanjing Forestry University, Long Pan Road 159, Nanjing 210037, China;

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