Streamflow drought characterization considering onset, maximum streamflow deficit, and termination
ID:3393 View Protection:PRIVATE Updated Time:2023-04-15 15:04:33 Hits:1839 Oral Presentation

Start Time:2023-05-07 08:30(Asia/Shanghai)

Duration:15min

Session:20 20、地球关键带与全球变化 » 20-220-2 地球关键带与全球变化

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Abstract
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.
 
Keywords
水文干旱
Speaker
吴杰峰
南京信息工程大学

Submission Author
吴杰峰 南京信息工程大学
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Important Date
  • Conference Date

    May 05

    2023

    to

    May 08

    2023

  • Mar 31 2023

    Draft paper submission deadline

  • May 25 2023

    Registration deadline

Sponsored By
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
Organized By
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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