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Application of a hybrid multiscalar indicator in drought identification in Beijing and Guangzhou,China 被引量:2
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作者 Ming-wei Ma Wen-chuan Wang +3 位作者 Fei Yuan Li-liang Ren Xin-jun Tu Hong-fei Zang 《Water Science and Engineering》 EI CAS CSCD 2018年第3期177-186,共10页
The Palmer drought severity index(PDSI) is physically based with multivariate concepts, but requires complicated calibration and cannot easily be used for multiscale comparison. Standardized drought indices(SDIs), suc... The Palmer drought severity index(PDSI) is physically based with multivariate concepts, but requires complicated calibration and cannot easily be used for multiscale comparison. Standardized drought indices(SDIs), such as the standardized precipitation index(SPI) and standardized precipitation evapotranspiration index(SPEI), are multiscalar and convenient for spatiotemporal comparison, but they are still challenged by their lack of physical basis. In this study, a hybrid multiscalar indicator, the standardized Palmer drought index(SPDI), was used to examine drought properties of two meteorological stations(the Beijing and Guangzhou stations) in China, which have completely different drought climatologies. The results of our case study show that the SPDI is correlated with the well-established drought indices(SPI, SPEI, and PDSI) and presents generally consistent drought/wetness conditions against multiple indicators and literature records. Relative to the PDSI, the SPDI demonstrates invariable statistical characteristics and better comparable drought/wetness frequencies over time and space. Moreover,characteristics of major drought events(drought class, and onset and end times) indicated by the SPDI are generally comparable to those detected by the PDSI. As a physically-based standardized multiscalar drought indicator, the SPDI can be regarded as an effective development of the Palmer drought indices, providing additional choices and tools for practical drought monitoring and assessment. 展开更多
关键词 DROUGHT PDSI multiscalar index SPDI Multifaceted comparison
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