Monthly streamflow has elements of stochasticity, seasonality, and periodicity. Spectral analysis and time series analysis can, respectively, be employed to characterize the periodical pattern and the stochastic pattern. Both Burg entropy spectral analysis (BESA) and configurational entropy spectral analysis (CESA) combine spectral analysis and time series analysis. This study compared the pred...

The shape-from-shading (SFS) technique deals with the recovery of shape of an object through a gradual variation of shading encoded in the image. Most SFS approaches have assumed Lambertian surface to extract DEM from individual images. The quality of the derived DEM from radar SFS in particular, depends on the appropriate radar reflectance model, which relates the radar backscatter to the surf...

according to variety of accessible hydrological models, evaluateing the efficiency of models for different management objectives are essential. therefore, models with simple structure and using minimal input that can provide an acceptable result can serve as an effective tool to watershed managers. hence, the objective of this research is to evaluate the relative performances of the lumped conc...

A rapid and convenient method was developed to determine the polar components (PC) of frying oil by Fourier-transform near-infrared (FTNIR) spectroscopy. One hundred twenty six oil samples were used to PC determination by column chromatography and FTNIR spectroscopy combined with partial least-square (PLS) calibration. The optimal PLS calibration was obtained after the Savitzky-Golay smoothing ...

Models based on laser height metrics matching different quantiles of the distribution of laser canopy heights should be similar to one another with respect to their predictive capabilities of aboveground biomass providing: 1) the allometric relationships in the trees studied remain consistent; and 2) the vertical distributions of laser canopy heights and needle area/mass are related according t...

in this research the thin layer drying behavior of apricot (cv. ghavami and nasiry) at temperatures of drying air of 40, 50, 60 and 70 ºc and at drying air velocity of 2 ms-1 was studied. in order to select the best drying curve equation, 9 different thin layer drying models were fitted to the experimental data and were compared according to their coefficient of determination (r2), reduced chi-...

The measurement and prediction of dye concentration is important in the design, planning and management of wastewater treatment. Soft computing techniques can be used as a support tool for analyzing data and making prediction. In this study, Central Composite Design (CCD) and adaptive neuro-fuzzy inference system (ANFIS) are employed to identify and predict the output intensity ratio of light t...

Long-term measurements of CO(2) flux can be obtained using the eddy covariance technique, but these datasets are affected by gaps which hinder the estimation of robust long-term means and annual ecosystem exchanges. We compare results obtained using three gap-fill techniques: multiple regression (MR), multiple imputation (MI), and artificial neural networks (ANNs), applied to a one-year dataset...

Air temperature is an essential climatic component particularly in water resources management and other agro-hydrological/meteorological activities planning This paper examines the prediction capability of three machine learning models, least square support vector (LSSVM), group method data handling neural network (GMDHNN) classification regression trees (CART) air forecasting using monthly Ast...