Lake Edku water-quality monitoring, analysis and management model for optimising drainage water treatment using a genetic algorithm

Abstract

Lake Edku, one of the northern Nile Delta Lakes, subjected to huge inputs of nutrients (especially phosphorous and nitrogen). These nutritional conditions create rich resource spectrum for algal growth and make the lake suffer from high level of eutrophication. Lake Edku does not have numeric water quality criteria for nutrients. The main objective of this research is to develop a model which can be implemented from the monitoring data to help in decision support system for the lake management strategy. Genetic optimisation was used to manage the phosphorous concentration reduction from drainage discharge to Lake Edku.