Shirley Gato-Trinidad

TL;DR: A review of the previous laboratory analysis and case studies on the application of the pressure-driven ceramic membrane technology for treatment of industrial wastewaters is presented in this article, which reveals that the efficiency of this technology has been proven in a wide variety of waste water from different industries and activities including pulp and paper, textile, pharmaceutical, petrochemical, food and mining.

TL;DR: In this paper, the application of Artificial Neural Networks (ANN) and multiple regression analysis (MR) to forecast long-term seasonal spring rainfall in Victoria, Australia was investigated using lagged El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) as potential predictors.

TL;DR: The aim of this study is to improve the understanding of the end uses of water and to assist where to focus water conservation efforts that would be most effective financially and environmentally, and be acceptable to everyone.

TL;DR: In this article, a model that continuously simulates the accumulation and wash-off of water quality pollutants in a catchment was developed by integrating two individual models; rainfall-runoff model, and catchment water quality model.

TL;DR: In this paper, the authors evaluated the performance of Reverse Osmosis (RO) plant as a post-treatment process in mining operations in Victoria, Australia, and showed that the RO unit significantly improves the quality of the final permeate before discharged to surface waters.