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首页> 外文期刊>Theoretical and applied climatology >Variation characteristics and influences of climate factors on aridity index and its association with AO and ENSO in northern China from 1961 to 2012
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Variation characteristics and influences of climate factors on aridity index and its association with AO and ENSO in northern China from 1961 to 2012

机译：1961-2012年中国北方气候因子的变化特征及其对干旱指数的影响及其与AO和ENSO的关系

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摘要

Analyses of the variation characteristics for aridity index (AI) can further enhance the understanding of climate change and have effect on hydrology and agriculture. In this paper, based on the data of 283 standard meteorological stations, the temporal-spatial variations and the influences of climate factors on AI were investigated and the relationship between AI and two climate indices (the Arctic Oscillation (AO); El Nino-Southern Oscillation (ENSO)) were also assessed in northern China (NC) during the period from 1961 to 2012. The results revealed that the annual mean AI decreased at the rate of -0.031 per decade in the past 52 years and the trend was statistically significant at the 0.01 level. The Mann-Kendall (M-K) test presented that the percentages of stations with positive trends and negative trends for AI were 10 and 81.9 % (22.6 % statistically significant), respectively. Spatially, in the western part of 100A degrees E, the extremely dry area declined and the climate tended to become wet obviously. In the eastern part of 100A degrees E, dry area moved toward the east and the south, which resulted in the enhancement of semiarid area and the shrinkage of subhumid area. The contributions of sunshine duration and precipitation to the decline of AI are more than those of other meteorological variables in NC. Moreover, the average temperature has risen significantly and AI decreased in NC, which indicated the existence of "paradox." Relationship between climate indices (AO and ENSO) and AI demonstrated that the influence of ENSO on AI overweight the AO on AI in NC.
机译：对干旱指数（AI）的变化特征进行分析可以进一步加深对气候变化的了解，并对水文和农业产生影响。本文基于283个标准气象站的数据，研究了时空变化和气候因素对AI的影响，以及AI与两个气候指数（北极涛动（AO）; El Nino-Southern）之间的关系。在1961年至2012年期间，还对华北（NC）进行了涛动（ENSO）评估。结果显示，过去52年中，年均AI以每十年-0.031的速度下降，并且该趋势具有统计学意义在0.01水平。 Mann-Kendall（M-K）测试表明，具有AI的积极趋势和消极趋势的测站的百分比分别为10和81.9％（统计上显着的22.6％）。在空间上，在东经100A度的西部，极端干旱的地区减少了，气候明显趋于潮湿。在东经100A度，干旱区向东和向南移动，这导致半干旱区面积增加，亚湿区面积缩小。日照时数和降水对AI下降的贡献大于NC中其他气象变量的贡献。此外，NC的平均温度显着升高，AI降低，这表明存在“悖论”。气候指数（AO和ENSO）与AI之间的关系表明，ENSO对AI的影响使NC中AI的AO超重。

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  • 来源
    《Theoretical and applied climatology》 |2017年第2期|523-533|共11页
  • 作者

    Zhang Kexin; Qian Xiaoqing; Liu Puxing; Xu Yihong; Cao Liguo; Hao Yongpei; Dai Shengpei;

  • 作者单位

    Yangzhou Univ, Inst Environm Sci & Engn, Yangzhou 225009, Jiangsu, Peoples R China|Nanjing Univ, Minist Educ, Key Lab Coastal & Isl Dev, Nanjing 210023, Jiangsu, Peoples R China;

    Yangzhou Univ, Inst Environm Sci & Engn, Yangzhou 225009, Jiangsu, Peoples R China;

    Northwest Normal Univ, Geog & Environm Coll, Lanzhou 730070, Gansu, Peoples R China;

    Nanjing Univ, Minist Educ, Key Lab Coastal & Isl Dev, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Minist Educ, Key Lab Coastal & Isl Dev, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Minist Educ, Key Lab Coastal & Isl Dev, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Minist Educ, Key Lab Coastal & Isl Dev, Nanjing 210023, Jiangsu, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Reference evapotranspiration; Aridity index; Influence factor; Climate indices; Northern China;

    机译：参考蒸散量;干旱指数;影响因子;气候指数;中国北方;

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