A bivariate pareto model for drought |
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Authors: | Saralees Nadarajah |
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Affiliation: | (1) School of Mathematics, University of Manchester, Manchester, M13 9PL, UK |
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Abstract: | Univariate Pareto distributions have been so widely used in hydrology. It seems however that bivariate or multivariate Pareto distributions have not yet found applications in hydrology, especially with respect to drought. In this note, a drought application is described by assuming a bivariate Pareto model for the joint distribution drought durations and drought severity in the State of Nebraska. Based on this model, exact distributions are derived for the inter arrival time, magnitude and the proportion of droughts. Estimates of 2, 5, 10, 20, 50 and 100 year return periods are derived for the three variables, drought duration, drought severity and the pairwise combinations: (drought duration, drought severity), (inter arrival time of drought, proportion of drought) and (drought duration, drought magnitude). These return period estimates could have an important role in hydrology, for example, with respect to measures of vegetation water stress for plants in water-controlled ecosystems. |
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Keywords: | Bivariate Pareto distribution Drought modeling Product of random variables Ratio of random variables Return periods Sum of random variables |
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