Özer Çinar

TL;DR: In this paper, PTFs for point and parametric estimation of soil hydraulic parameters from basic soil properties such as particle-size distribution, bulk density, and three different pore sizes were developed and validated using artificial neural network (ANN) and multiple-linear regression methods and the predictive capabilities of the two methods was compared using some evaluation criteria.

TL;DR: A long-term performance of a packed-bed bioreactor containing sulfur and limestone was evaluated for the denitrification of drinking water, and it was showed that sulfur-based autotrophic NO(2)-N reduction rate was around three times lower than the reduction rate of NO(3)-N, which led to NO( 2)-N accumulation at high loadings.

TL;DR: This study presents a configuration for the complete treatment of landfill leachate with high organic and ammonium concentrations, and reverse osmosis provided high quality effluent by reducing the effluent COD from MBR to less than 4.0mg/l at SRT of 30 days.

TL;DR: The filtration resistance of AnMBR was generally higher compared to AeMBR although reversible fouling rates were comparable, and offline chemical cleaning with NaOCl and sulfuric acid almost completely removed irreversible fouling.

TL;DR: A submerged membrane bioreactor receiving cheese whey was modeled by artificial neural network and its performance over a period of 100 days at different solids retention times was evaluated with this robust tool.