In this work, a hybrid of chromium(III) terephthalate metal organic framework (MIL-101) and graphene oxide (GO) was synthesized and its performance in the removal of azo dyes (Amaranth, Sunset Yellow, and Carmine) from water was evaluated. The adsorption for azo dyes on MIL-101/GO was compared with that of MIL-101, and it was found that the addition of GO enhanced the stability of MIL-101 in water and increased the adsorption capacity. The maximum adsorption capacities of MIL-101/GO were 111.01 mg g−1 for Amaranth, 81.28 mg g−1 for Sunset Yellow, and 77.61 mg g−1 for Carmine. The adsorption isotherms and kinetics were investigated, showing that the adsorption fits the Freundlich isotherm and the pseudo-second-order kinetic model. The recyclability of MIL-101/GO was shown by the regeneration by acetone. The high adsorption capability and excellent reusability make MIL-101/GO a competent adsorbent for the removal dyes from aqueous solution.
On the Ground with Diesel Corrosion - Case Study
When the EPA revealed the results of its study in July on the increasing presence of substantial corrosion in diesel fuel tanks, it proved that the problem is much larger than anyone anticipated. The facts are staggering: 83%of the diesel tank systems exhibited moderate-to-severe corrosion. 75%of the owner/operators of those diesel tanks had no idea it was happening. The corrosion is developing in both steel and fiberglass tank systems. Even more staggering is the severity of the corrosion I have been...
Application of hybrid Kalman filter for improving water level forecast
Numerical modeling is one of the popular means to simulate and forecast the state of oceanographic systems. However, it still suffers from some limitations, e.g., parameter uncertainties, simplification of model assumptions, and absence of data for proper boundary and initial conditions. This paper proposes a hybrid data assimilation scheme, which combines the Kalman filter (KF) with a data-driven model (local linear model (LM)), to directly correct numerical model outputs at locations without measurements. Two...
Hybrid wavelet-support vector machine approach for modelling rainfall–runoff process
Because of the importance of water resources management, the need for accurate modeling of the rainfall–runoff process has rapidly grown in the past decades. Recently, the support vector machine (SVM) approach has been used by hydrologists for rainfall–runoff modeling and the other fields of hydrology. Similar to the other artificial intelligence models, such as artificial neural network (ANN) and adaptive neural fuzzy inference system, the SVM model is based on the autoregressive properties. In this paper, the...
Hybrid System in Fiji: The Sun Saves Fuel
When you think of Fiji, you first think of vacation, wonderful beaches with palms and crystal clear water with perfect spots for scuba diving. We also thought of energy: Energy that could help build a more ecological electrical power supply. The existing power supply on the three separate islands of Kadavu, Lakeda and Rotuma around the Fijian mainland had been fully based on diesel generators. Now the SMA Fuel Save Controller 2.0 is helping to integrate solar energy into the power grid. That guarantees more...
The effects of bupropion on hybrid striped bass brain chemistry and predatory behavior
Increased use of antidepressants has led to an increase in their detection in final treated wastewater effluents and receiving streams. Antidepressants are intended to modify human behavior by altering brain chemistry, and due to the high functional conservation of the receptor targets of antidepressant target receptors in vertebrates, aquatic organisms may be at risk. The antidepressant bupropion is designed to alter brain norepinephrine and dopamine concentrations in humans. The objective of this work was to...