نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری علوم و مهندسی آبخیزداری، دانشگاه هرمزگان
2 استادیار گروه منابع طبیعی- دانشگاه هرمزگان
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Iran is a very rugged country and has and diverse climate movement. This different climates can effect on the heteroscedasticity of precipitation data at the spatial scale of climatic regions, and consequently, heteroscedasticity as determining concept challenges the calculation and efficiency of mean precipitation. Accordingly, in this study, building on the catchment spatial scale and investigating the precipitation data from146 synoptic stations at four temporal scales-heavy precipitation, semi-heavy precipitation, pre-precipitation, and low precipitation- the effect of heteroscedasticity on mean precipitation were investigated by Levene test. The results showed that the effects of heteroscedasticity on precipitation data can be clearly seen in the catchments of the Mazandaran Sea and the Central Plateau. So that the most heteroscedasticity and homoscedasticity are located in these catchments at four temporal scales. Even the current network of synoptic stations could not prevent of the effects of heteroscedasticity on precipitation data in these two catchments. Hence, use of mean index is an incomplete concept for complete recognition of precipitation status and precipitation distribution at the extent of Iran territory in two spatial scale of the catchment and climatic regions. Therefore, to achieve an efficient mean of precipitation in very rugged country as Iran, it is necessary, avoiding calculating mean at in two spatial scale of the catchment and climatic regions. Also, the heteroscedasticity effect reduced the precipitation data by determining cause of heteroscedasticity of precipitation data errors and the selection of best model that can consider the heteroscedasticity of precipitation data at the small catchment scale.
کلیدواژهها [English]