Mohamed Ibrahim Kizhisseri

TL;DR: In this paper, a dynamic water budget modelling framework is used to evaluate future water demand as affected by population growth, economic growth, proposed water related policies, consumption patterns, and climate change.

TL;DR: In this article, a fuzzy logic-based tool for assessing the pollution concentration of effluents generated by various industrial and commercial activities is presented, which integrates six characteristics, namely pH, Cl−, SO4 2−, conductivity, chemical oxygen demand (COD), and fats, oils, and greases (FOG) values into a readily understandable scale.

TL;DR: A multi-layer feedforward neural network with back propagation learning method is used to model the investment cost of RO plants, developed using the data sets of 1806 RO plants of capacity at least 1000 m3/day.

TL;DR: In this article, a dynamic water budget model is developed for the Emirate of Abu Dhabi (EAD) in the United Arab Emirates (UAE), which accounts for a number of drivers such as population growth, economic growth, consumption pattern and climatic factors.

TL;DR: In this paper, the authors presented a comprehensive assessment of the current state of water sources and demands in the Emirate of Abu Dhabi prepared through a rigorous analysis of the data gained from a literature review of published research articles, reports and through discussions during stakeholders' workshops.