Artificial Neural Network (ANN) model along with Back Propagation Algorithm (BPA) has been applied in many fields, especially in hydrology and water resources management to simulate or forecast rainfall runoff process, discharge and water level time series, and other hydrological variables. Several researches have recently been focusing to compare the applicability of ANN model with other theor...

Abstract In this article, the performance evaluation of four univariate time-series forecasting techniques, namely Hyndman Khandakar-Seasonal Autoregressive Integrated Moving Average (HK-SARIMA), Non-Stationary Thomas-Fiering (NSTF), Yeo-Johnson Transformed (YJNSTF) and Seasonal Naïve (SN) method, is carried out. The techniques are applied to forecast rainfall time series stations located in Ke...

the necessity of using discharge data in hydrological designs and regional programming is an unavoidable matter. unfortunately, malfunctioning of observation instruments, natural disasters and other problems sometimes result in incomplete or missing data. having of data related to time series is necessary for every investigation about hydrometeorology. thus missing data should be estimated in a...

the adsorption of lead (11) and copper (11) in a fixed bed column using activated carbonprepared from nipa palm nut was investigated. thomas model and yoon and nelson kinetic models were used to analyze the column performance. the rate constant for thomas model increased with increase in flow rate and initial ion concentration but remained constant at varying bed height. adsorption capacity for...