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Dynamic characteristics of monthly rainfall in Tabriz under climate change Original Article, C37 Jani R, Ghorbani M.A, Saghafian B, Shamsaei A, zahabion B. Journal. Civil Eng. Urban. 3(4):225-235. 2013 ABSTRACT:Among the factors creating the changes in climate include ever-increasing population, changes in land usage and the development of industrial activities. Thus, studying the effect of this phenomenon on hydrological processes, in particular rainfall is considered as one of the most important issues concerning water engineering. Chaos theory is a tool that can be implemented besides other methods in modeling nonlinear, complicated hydrological phenomena like rainfall, due to its wonderful capabilities. In this study, monthly rainfall in Tabriz has been studied through this theory under historical and climate change conditions. In so doing, the statistical period of 1971 to the year 2000 was considered as the historical period, and the results obtained from the model LARS-WG were also considered under two scenarios in three future periods. The results indicated that historical period data having the fractal dimension of (5.96) has good chaotic nature. In the case of scenario A2, the data of all three series had good chaotic nature as well. In scenario B1, random investigation in all three periods will be appropriate. Keywords: Climate Change, Rainfall, Chaotic Theory, Tabriz, Lars-WG Model. منبع: [Hidden Content] دانلود: [Hidden Content].,37-225-233.pdf J. Civil Eng. Urban.,37-225-233.pdf

Analysis of relative Flows in the Catchments without Gauging Station; Case Study: West of Urmia Lake Basin Original Article, A8 Azhdan, Y., Majedi-Asl, M., Daneshfaraz, R. Journal. Civil Eng. Urban. 1(1): 53-56. 2011. ABSTRACT: An important factor for designing soil and water projects is the estimation of annual runoff volume at project location, with no precise runoff data. One common method for estimation of the runoff is through meteorological parameters and physical characteristics of the region. The present paper attempts to complete the statistics from partial stations via linear regression and the randomness of the data was tested by the RUNTEST test and its results were satisfactory. Modeling relative annual and monthly runoffs in Iran is an essential task for precise planning of water projects engineering in catchments without hydrologic statistics and data. One important factor to be considered in understanding the catchments' hydrologic behavior is investigation of output currents in different time periods of daily, monthly, and annual scales. Thus, this study attempts to use multivariate linear regression to provide a decent model for estimation of annual runoff for the catchments of the Nazloo-Cahi, Barandooz-Chai, Shahr-Chai and Roze-Chai Rivers in the west of Urmia Lake. Keywords: Watershed, Annual Runoff, Rainfall, Physical Characteristics, Multivariate Regression, Urmia Lake منبع: [Hidden Content] دانلود: [Hidden Content],.pdf JCEU-A8,.pdf