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Changes in extreme climate events in eastern China during 1960-2013: A case study of the Huaihe River Basin

机译:1960-2013年中国东部极端气候事件的变化:以淮河流域为例

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Within the context of global warming, climate extremes, including extreme wet event and drought events, have become one of the most significant and attractive themes around the world. The target region of this study is confined to eastern China, with most of the country's population concentrated, where both the wet and drought climate extremes can cause considerable damages to the economy, particularly to agriculture. From the inter-annual and intraseasonal scale, temporal and spatial distributions of climate extremes for 27 stations in the Huaihe River Basin over the period 1960-2013, are examined rigorously by means of a modified FAO Penman-Monteith method and the standardized variables of the monthly Surface Humid Index. Morlet wavelet analysis is utilized to thoroughly investigate the oscillation and periodicity of extreme wet/drought events during four seasons, as well as the whole year. The results suggest that the frequency of extreme wet events has significantly increased by 0.0118 times/year, whereas the trend for extreme drought events has gradually decreased, at the rate of 0.0127 times/year, both of which are in accordance with inter-decadal variations of climate extremes. Comparative study reveals climate extremes in autumn shows great differences, in sharp contrast to other seasons and the general inter-annual tendency. Spatial distributions of inter-annual extreme climate events exhibit certain symmetry characteristics, from west to east, indicating the combined influences of topography and monsoon circulation. The major cycles of extreme wet and drought events are 14 years and 24 years, respectively. Finally, possible causes of the temporal and spatial distributions of climate extremes are tentatively analyzed, by correlation analysis of six indexes, namely, AOI, AAOI, EASMI, WNPMI, SASMI, and NAOI, with AOI and NAOI being the dominant indexes under the background of large-scale atmospheric circulation. Additionally, other factors such as total annual precipitation, northward movement and enhancement of the subtropical anticyclone, and anthropogenically induced greenhouse forcing can also contribute to the changes in extreme climate events. (C) 2014 Elsevier Ltd and INQUA. All rights reserved.
机译:在全球变暖的背景下,极端气候(包括极端潮湿事件和干旱事件)已成为全球最重要和最具吸引力的主题之一。这项研究的目标区域仅限于中国东部,该国大部分人口集中在潮湿和干旱的极端气候都可能对经济特别是农业造成严重损害的地方。从年际和季节内尺度上,通过改进的粮农组织Penman-Monteith方法和标准化的变量,严格审查了淮河流域1960-2013年期间27个站的极端气候的时空分布。每月表面湿度指数。 Morlet小波分析用于彻底研究四个季节以及全年的极端湿/干旱事件的振荡和周期性。结果表明,极端湿事件的发生频率显着增加了0.0118次/年,而极端干旱事件的趋势以0.0127次/年的速度逐渐减少,这两者均与年代际变化一致极端气候。比较研究表明,秋季的极端气候差异很大,与其他季节和总体年际趋势形成鲜明对比。年际极端气候事件的空间分布呈现出一定的对称性,从西到东,表明了地形和季风环流的综合影响。极端潮湿和干旱事件的主要周期分别为14年和24年。最后,通过对AOI,AAOI,EASMI,WNPMI,SASMI和NAOI六个指标的相关分析,初步分析了气候极端事件时空分布的可能原因,其中AOI和NAOI是背景下的主要指标大规模的大气环流。此外,其他因素,如年降水总量,北向运动和亚热带反气旋的增强以及人为诱发的温室强迫,也可能导致极端气候事件的变化。 (C)2014 Elsevier Ltd和INQUA。版权所有。

著录项

  • 来源
    《Quaternary International》 |2015年第4期|22-34|共13页
  • 作者单位

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China.;

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

    Extreme wet/drought events; Spatial and temporal distributions; Huaihe River Basin;

    机译:极端干旱/干旱事件;时空分布;淮河流域;

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