Streamflow drought characterization considering onset, maximum streamflow deficit, and termination
编号:3393 访问权限:私有 更新:2023-04-15 15:04:33 浏览:139次 口头报告

报告开始:2023年05月07日 08:30(Asia/Shanghai)

报告时间:15min

所在会场:[20] 20、地球关键带与全球变化 [20-2] 20-2 地球关键带与全球变化

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摘要
Duration and severity are two key characteristics commonly used for analyzing streamflow drought (SD); however, without considering important SD time nodes (i.e., drought onset, maximum streamflow deficit, and termination), drought monitoring and characterization remain inaccurate. The methods of fixed drought threshold (FDT) and variable drought threshold (VDT), which apply an absolute and relative threshold for drought definition, respectively, are commonly used to identify SD. We studied the difference and applicability of the FDT and VDT methods for different thresholds (i.e., streamflow percentiles Q10, Q20, Q30, Q40, and Q50) based on monthly streamflow records of 219 watersheds in United States, with a focus on the drought onset, maximum streamflow deficit, and termination. While the average SD durations and severities identified by FDT and VDT were in broad agreement, the key time nodes of SD evolution were completely different between two methods, especially in watersheds with larger streamflow variability within a year. Our results indicated that SD identification by only considering the commonly used drought features (duration, severity) leads to inaccurate drought characterization. It is necessary to improve SD identification and characterization by considering drought onset, maximum streamflow deficit, and termination.
 
关键词
水文干旱
报告人
吴杰峰
南京信息工程大学

稿件作者
吴杰峰 南京信息工程大学
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重要日期
  • 会议日期

    05月05日

    2023

    05月08日

    2023

  • 03月31日 2023

    初稿截稿日期

  • 05月25日 2023

    注册截止日期

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青年地学论坛理事会
中国科学院青年创新促进会地学分会
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武汉大学
中国科学院精密测量科学与技术创新研究院
中国地质大学(武汉)
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