暴发洪水
水文气象
闪光灯(摄影)
环境科学
鉴定(生物学)
预警系统
降水
热浪
气候学
含水量
计算机科学
气象学
气候变化
地理
地质学
生态学
艺术
电信
海洋学
岩土工程
考古
视觉艺术
生物
大洪水
作者
Yi Liu,Yongwei Zhu,Liliang Ren,Jason A. Otkin,Eric Hunt,Xiaoli Yang,Fei Yuan,Shanhu Jiang
标识
DOI:10.1175/jhm-d-19-0088.1
摘要
Abstract Flash droughts are extreme phenomena that have been identified using two different approaches. The first approach identifies these events based on unusually rapid intensification rates, whereas the second approach implicitly identifies short-term features. This latter approach classifies flash droughts into two types, namely, precipitation deficit and heat wave flash droughts (denoted as PDFD and HWFD). In this study, we evaluate these two approaches over the Yellow River basin (YRB) to determine which approach provides more accurate information about flash droughts and why. Based on the concept of intensification rate, a new quantitative flash drought identification method focused on soil moisture depletion during the onset–development phase is proposed. Its performance was evaluated by comparing the onset time and spatial dynamics of the identified flash droughts with PDFD and HWFD events identified using the second approach. The results show that the rapid-intensification approach is better able to capture the continuous evolution of a flash drought. Since the approach for identifying PDFD and HWFD events does not consider changes in soil moisture with time, it cannot ensure that the events exhibit rapid intensification, nor can it effectively capture flash droughts’ onset. Evaluation of the results showed that the chosen hydrometeorological variables and corresponding thresholds, particularly that of temperature, are the main reasons for the poor performance of the PDFD and HWFD identification approach. This study promotes a deeper understanding of flash droughts that is beneficial for drought monitoring, early warning, and mitigation.
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