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contributor authorYagob Dinpashoh
contributor authorRasoul Mirabbasi
contributor authorDeepak Jhajharia
contributor authorHamid Zare Abianeh
contributor authorAli Mostafaeipour
date accessioned2017-05-08T21:49:59Z
date available2017-05-08T21:49:59Z
date copyrightMarch 2014
date issued2014
identifier other%28asce%29he%2E1943-5584%2E0000847.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/63718
description abstractIn this study, the trends in precipitation in the northwest (NW) of Iran were identified using the four different versions of the Mann-Kendall method, i.e., the conventional Mann-Kendall method (MK1); the Mann-Kendall method following the removal of the effect of significant lag-1 autocorrelation (MK2); the Mann-Kendall method after the removal of the effect of all significant autocorrelation coefficients (MK3); and the Mann-Kendall method by considering the Hurst coefficient (MK4). Identification of trends was carried out on different time scales (monthly, seasonal, and annual) using the precipitation data of 50 years from 1955 to 2004 of the sixteen stations selected from the NW region of Iran. The Theil-Sen method was used to estimate the slopes of trend lines of precipitation series. Results showed that: (1) on a monthly time scale, the statistically significant
publisherAmerican Society of Civil Engineers
titleEffect of Short-Term and Long-Term Persistence on Identification of Temporal Trends
typeJournal Paper
journal volume19
journal issue3
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)HE.1943-5584.0000819
treeJournal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 003
contenttypeFulltext


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