Assessment of the Life Cycle Environmental Impact of Sewage Sludge from Treatment Plant in the City of Saida – Algeria Based on Deep Learning Algorithms

Abstract

The present study is part of the environmental analysis of the wastewater treatment sector and the production of sludge in the wastewater treatment plant that is located in the small town of Rebahia in the Wilaya (Province) of Saida in Algeria using the Life Cycle Analysis which is a practical tool for the global and multi-criteria assessment of the environmental impacts.the physicochemical analysis of the wastewater revealed the existence of a high concentrations of chemical oxygen demand (COD = 483.42), suspended matter (SM = 229.01) and 5-day biochemical oxygen demand (BOD5 = 290.56). These data clearly show that the sludge from urban wastewater treatment is loaded with pollutants. Indeed, the results of the leaching test conducted on this slurry indicate that it is rich in phosphates, heavy metals, and sulphates. These pollutants, contained in the sludge under study, were found to have negative impacts on the environment. Finally, this study made it possible to identify the main sources of pollution and those, which respect the environment, using inventory data, the deep learning model was used to predict some study data.