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Spatio-temporal characteristics of drought structure across China using an integrated drought index

机译:综合干旱指数,中国干旱结构的时空特征

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摘要

Previous studies have focused on drought duration, intensity and frequency without explicitly investigating the timing of droughts, such as the drought onset and demise, as well as their transition periods, which is of importance for agricultural production. Furthermore, large discrepancies exist for those studies using a single variable based drought index. In this study, a nonparametric multivariate standardized drought index (NMSDI) that combines information about precipitation and streamflow was applied to investigate the spatial and temporal features of the drought structure in China. Subsequently, the relationships between El Nino-Southern Oscillation (ENSO) events and NMSDI variations were examined. The results indicate that: the NMSDI exhibited comparable performance when compared to the corresponding Standardized Precipitation Index and Standardized Streamflow Index, and importantly, it is more sensitive to capturing the onset, persistence, and termination of droughts; the preferred season of drought onset is in summer, with drought demise occurring in winter; the average drought duration in China is nearly 6 months, which is longer than the transition periods of drought onset (3 months) and demise (3 months); ENSO events have a strong influence on drought variations, with the effects depending on climate zones across China. Our results on the timing of droughts have important implications for drought mitigation and adaptation in China, which is helpful for agricultural production under the context of climate warming.
机译:以前的研究专注于干旱期限,强度和频率,而无明确调查干旱的时间,例如干旱发作和消亡,以及其过渡期,这对农业生产具有重要性。此外,使用单个可变的干旱指数,这些研究存在大的差异。在该研究中,应用了关于沉淀和流出信息的非参数多变量标准化干旱指数(NMSDI),以研究中国干旱结构的空间和时间特征。随后,检查了EL Nino-Southern振荡(ENSO)事件和NMSDI变异之间的关系。结果表明:与相应的标准化降水指数和标准化的流流指数相比,NMSDI表现出可比的性能,并且重要的是,捕获干旱的发病,持续性和终止更敏感;夏季,干旱发病的首选季节,冬季发生干旱灭亡;中国的平均干旱持续时间近6个月,比干旱发病(3个月)和消亡(3个月)的过渡期长期超过过渡期; ENSO事件对干旱变化产生了强烈影响,这取决于中国气候区的影响。我们对干旱时机的结果对中国的干旱缓解和适应具有重要意义,这有助于在气候变暖的背景下进行农业生产。

著录项

  • 来源
    《Agricultural Water Management》 |2019年第2019期|共11页
  • 作者单位

    Xian Univ Technol State Key Lab Base Eco Hydraul Engn Arid Area Xian 710048 Shaanxi Peoples R China;

    Xian Univ Technol State Key Lab Base Eco Hydraul Engn Arid Area Xian 710048 Shaanxi Peoples R China;

    China Inst Hydropower &

    Water Resources State Key Lab Simulat &

    Regulat Water Cycle River Beijing 100038 Peoples R China;

    Xian Univ Technol State Key Lab Base Eco Hydraul Engn Arid Area Xian 710048 Shaanxi Peoples R China;

    Univ Oxford Environm Change Inst Oxford OX1 3QY England;

    Xian Univ Technol State Key Lab Base Eco Hydraul Engn Arid Area Xian 710048 Shaanxi Peoples R China;

    Xian Univ Technol State Key Lab Base Eco Hydraul Engn Arid Area Xian 710048 Shaanxi Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业工程;
  • 关键词

    Nonparametric method; Drought onset; Transition periods; Preferred season; Cross wavelet analysis;

    机译:非参数方法;干旱发作;过渡期;首选季节;交叉小波分析;

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