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- W2005296481 abstract "Abstract A hydrological drought magnitude (M T ) expressed in standardized terms is predicted on annual, monthly and weekly time scales for a sampling period of T years in streamflow data from the Canadian prairies. The drought episodes are considered to follow the Poisson law of probability and, when coupled with the gamma probability distribution function (pdf) of drought magnitude (M) in the extreme number theorem, culminate in a relationship capable of evaluating the expected value, E(M T ). The parameters of the underlying pdf of M are determined based on the assumption that the drought intensity follows a truncated normal pdf. The E(M T ) can be evaluated using only standard deviation (σ), lag-1 autocorrelation (ρ) of the standardized hydrological index (SHI) sequence, and a weighting parameter Φ (ranging from 0 to 1) to account for the extreme drought duration (L T ), as well as the mean drought duration (Lm ), in a characteristic drought length (Lc ). The SHI is treated as standard normal variate,..." @default.
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- W2005296481 date "2013-03-05" @default.
- W2005296481 modified "2023-09-30" @default.
- W2005296481 title "A semi-empirical method for predicting hydrological drought magnitudes in the Canadian prairies" @default.
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- W2005296481 doi "https://doi.org/10.1080/02626667.2013.772688" @default.
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