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Sediment load estimation by MLR, ANN, NF and Sediment Rating Curve (SRC) in Rio Chama River Original Article, C22 Ghorbani M.A, Hosseini S.H, Fazelifard M.H, Abbasi H. Journal. Civil Eng. Urban. 3(4):136-141. 2013 ABSTRACT:As the major part of river sediments is suspended sediment load, its estimation has important significance to manage of the water resources and environments. In this study, two conventional models: Sediment Rating Curve (SRC) and Multi Linear Regression (MLR) and two artificial intelligent models Artificial Neural Network (ANN) and Neuro-Fuzzy (NF) are applied to estimate suspended sediment load of the Rio Chama, a major tributary river of the Rio Grande, in the U.S. states of Colorado and New Mexico. Three statistical parameters–coefficient of determination (R2), root mean square error (RMSE) and Nash-Sutcliffe efficiency (NSE) are used to compare the results of models. The resul­­­­ts showed that ANN using only discharge as input and NF model using both discharge and sediment as inputs have better performance than other two models. Furthermore, in this study, mentioned models are applied to evaluate annual sediment load and the best results have been achieved from NF and ANN respectively. Results of this study may be useful in picking up the most suitable modeling approach for similar studies in other river basins. Keywords: artificial neural network; neuro-fuzzy; regression analysis; sediment rating curve; suspended sediment load منبع: [Hidden Content] دانلود: [Hidden Content].,22-136-141.pdf J. Civil Eng. Urban.,22-136-141.pdf

Assessment of Travel Characteristics in Akure Metropolis Original Article, B14 Fajugbagbe A, Aderinlewo O and Croope S. Journal. Civil Eng. Urban. 2(2): 75-79. 2012. ABSTRACT: The travel characteristics of commuters in Akure Metropolis were obtained in terms of trip destinations, travel modes, capacity of vehicles used, number of vehicles and the frequency of trips. The travel distance, travel time and cost of travel were also measured. It was found that an average 9,391 intercity trips were generated daily from Akure Metropolis to various destinations out of which Lagos has the highest number of person trips. 77.54% and 22.46% of the total trips were made by bus and car respectively. The socio-economic status of the people was analyzed quantitatively and qualitatively. The analysis results show that people with an average income ranging from N20,001 to N30,000 travel most with public vehicles while people between the ages of 31 and 50 make the highest number of trips. Regression analysis of the trips generated in terms of the travel characteristics produced a model which explained the data to an accuracy of 98.7%. Keywords: Socio-Economic, Travel Modes, Regression Analysis منبع: [Hidden Content] دانلود: [Hidden Content].,B14-75-79.pdf J. Civil Eng. Urban.,B14-75-79.pdf