A Nonparametric Multivariate Multi-Index Drought Monitoring Framework
A Nonparametric Multivariate Multi-Index Drought Monitoring Framework
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DOI：
10.1175/jhm-d-12-0160.1
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发表时间：
2014-02-01
影响因子：
3.8
通讯作者：
AghaKouchak, Amir
中科院分区：
文献类型：
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作者：
Hao, Zengchao;AghaKouchak, Amir
准确和可靠的干旱监测对于减轻干旱影响和减少社会脆弱性至关重要。根据不同的指标变量，采用了标准化降水指数等各种指数进行干旱监测。由于干旱现象的成因和影响十分复杂，基于单一变量的干旱监测可能不足以迅速和可靠地探测干旱状况。这项研究概述了一个多变量，多指标干旱监测框架，即多变量标准化干旱指数（MSDI），描述干旱的基础上，降水和土壤水分的状态。在这项研究中，MSDI评估对美国干旱监测（USDM）数据以及常用的干旱监测标准化指数，包括检测干旱的发生，持续性和整个美国大陆的空间范围。结果表明，MSDI包括有吸引力的属性，如更高的概率干旱检测，相比个人降水和土壤水分为基础的干旱指数。这项研究表明，MSDI导致干旱信息与USDM基本一致，并为干旱监测提供了额外的信息和见解。
Accurate and reliable drought monitoring is essential to drought mitigation efforts and reduction of social vulnerability. A variety of indices, such as the standardized precipitation index (SPI), are used for drought monitoring based on different indicator variables. Because of the complexity of drought phenomena in their causation and impact, drought monitoring based on a single variable may be insufficient for detecting drought conditions in a prompt and reliable manner. This study outlines a multivariate, multi-index drought monitoring framework, namely, the multivariate standardized drought index (MSDI), for describing droughts based on the states of precipitation and soil moisture. In this study, the MSDI is evaluated against U.S. Drought Monitor (USDM) data as well as the commonly used standardized indices for drought monitoring, including detecting drought onset, persistence, and spatial extent across the continental United States. The results indicate that MSDI includes attractive properties, such as higher probability of drought detection, compared to individual precipitation and soil moisture-based drought indices. This study shows that the MSDI leads to drought information generally consistent with the USDM and provides additional information and insights into drought monitoring.