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Water Surplus Variability Index as an Indicator of Drought
Drought assessment requires considering not only precipitation but also the other meteorological parameters such as an evapotranspiration. This paper presents the water surplus variability index (WSVI) as an indicator of drought. The calculation procedure incorporates both precipitation and reference evapotranspiration through the estimation of water surplus at different timescales. The WSVI is compared with the standardized precipitation index (SPI) and the reconnaissance drought index (RDI) based on 1-month, 3-month, 6-month, and 12-month timescales using data from four weather stations located in humid and subhumid climate. To approve the proposed procedure, the graphical and statistical tools such as the scatter plots, the linear trend, the coefficient of determination , the index of agreement , and the Pearson correlation coefficient were applied. The WSVI was highly correlated with both the RDI and the SPI whereas . Moreover, is greater than 0.93 which indicates near perfect agreement between the WSVI and both the SPI and the RDI. This supports the opinion that the WSVI is capable to quantify drought episodes and duration, identified by the SPI and the RDI.
Water Surplus Variability Index as an Indicator of Drought
Drought assessment requires considering not only precipitation but also the other meteorological parameters such as an evapotranspiration. This paper presents the water surplus variability index (WSVI) as an indicator of drought. The calculation procedure incorporates both precipitation and reference evapotranspiration through the estimation of water surplus at different timescales. The WSVI is compared with the standardized precipitation index (SPI) and the reconnaissance drought index (RDI) based on 1-month, 3-month, 6-month, and 12-month timescales using data from four weather stations located in humid and subhumid climate. To approve the proposed procedure, the graphical and statistical tools such as the scatter plots, the linear trend, the coefficient of determination , the index of agreement , and the Pearson correlation coefficient were applied. The WSVI was highly correlated with both the RDI and the SPI whereas . Moreover, is greater than 0.93 which indicates near perfect agreement between the WSVI and both the SPI and the RDI. This supports the opinion that the WSVI is capable to quantify drought episodes and duration, identified by the SPI and the RDI.
Water Surplus Variability Index as an Indicator of Drought
Gocic, Milan (author) / Trajkovic, Slavisa (author)
2014-04-04
Article (Journal)
Electronic Resource
Unknown
Water Surplus Variability Index as an Indicator of Drought
British Library Online Contents | 2015
|Water Surplus Variability Index as an Indicator of Drought
Online Contents | 2015
|