This study aims to develop an Adaptive Network-based Fuzzy Inference System technique (ANFIS) and using the parameters of a complex mathematical model in the RO membrane performances. The ANFIS was constructed by using a subtractive clustering method to generate initial fuzzy inference systems. The model trained by 70% of the data set and then its validity is examined by remained 30% data set. ...

Reverse osmosis (RO) is a water purifcation technology that uses a semipermeable membrane to remove ions, molecules, and larger particles for the production of drinking water. The frst RO membrane for seawater desalination, wastewater treatment and other applications were made of cellulose acetate. But, the polyamide thin-flm composite membrane that can tolerate wide pH...

Photovoltaic based reverse osmosis desalination systems (PV/RO) present an effective method of water desalination especially in remote areas. The increase of the feed water temperature leads to an amelioration of the plant performances. Photovoltaic Thermal Collector (PV/T) represents an ideal power source as it provides both electric and thermal energies for the reverse osmosis process. Nevert...

Observing the nanoporous structure inside membranes has been one of greatest challenges in membrane research, and many recent studies have employed positron annihilation lifetime spectroscopy, among other methods, to gain structural insights. In this report, we demonstrate significant potential Raman spectroscopy for investigating under situ conditions. Sulfonated poly(arylene ether sulfone) ce...

Membrane bioreactor-reverse osmosis process (MBR-RO) is widely applied in wastewater treatment, especially when high-quality treated water needed. Although MBR shows better performances the removal of pathogens than conventional activated sludge process, stable operation RO latter step MBR-RO depends on residual bacteria filtrate microfiltration membranes. Species and sizes found with 0.2 μm po...

Robust optimization (RO) is a common approach to tractably obtain safeguarding solutions for problems with uncertain constraints. In this paper, we study statistical framework integrate data into RO based on learning prediction set using (combinations of) geometric shapes that are compatible established tools and simple data-splitting validation step achieves finite-sample nonparametric guarant...

Abstract This paper assesses the performances of runoff (Ro) and coefficient ( α , ratio to precipitation) simulations from 23 models during historical period then projects their future changes under two emission scenarios (SSP1‐2.6 SSP5‐8.5) in Coupled Model Intercomparison Project. Compared with UNH/GRDC Ro dataset (0.82 mm day −1 ), multi‐model median (MME) 1995–2014 produces a comparable gl...