Litcius/Paper detail

Application of statistical and geostatistical approaches in temporal and spatial estimations of rainfall

Hojat Karami, Hamidreza Ghazvinian, Yashar Dadrasajirlou

2023Journal of Water and Climate Change16 citationsDOIOpen Access PDF

Abstract

Abstract This study is the first study that worked on the temporal and spatial distributions of annual rainfall (Pyear) and maximum 24-h rainfall (Pmax24h) in the Semnan province. For this purpose, different statistical distributions were used to estimate the temporal Pyear and Pmax24h in the Semnan province. Six synoptic stations across the province were studied and all stations had complete Pyear and Pmax24h data. Different return periods were studied. The goodness fit test of statistical distributions for Pyear showed that about 67% of the stations follow the Generalized Pareto (GP) distribution. Considering the Pmax24h, 50% of the stations follow the GP distribution, and for the ratio of Pmax24h to Pyear, 50% of stations follow the Generalized Extreme Value (GEV) distribution. The spatial distribution of Pyear and Pmax24h showed that in all return periods, by moving to the southeast of the province, precipitation amounts decreased. While moving toward the Shahmirzad station, the amounts of Pyear and Pmax24h increased. Also, there was a logical relationship between the Pyear and Pmax24h. Consequently, the minimum value and the maximum value of the R2 coefficient in different return periods were equal to 0.992 and 0.980, respectively.

Topics & Concepts

Generalized Pareto distributionPrecipitationSpatial distributionDistribution (mathematics)Extreme value theoryEnvironmental scienceStatisticsGeneralized extreme value distributionGoodness of fitMathematicsGeographyMeteorologyMathematical analysisHydrology and Drought AnalysisClimate variability and modelsPrecipitation Measurement and Analysis