Prediction of Hydraulic Shock Wastewater in Unexpected Events using a Combination of Wavelet Operator and Artificial Intelligence Network Algorithm

Due to the development of urbanization and the limitation of freshwater resources, the importance of wastewater treatment and environmental pollution is of great importance. Inlet wastewater flow can be significantly increased during atmospheric phenomena or chronological events, thereby causing hydraulic shock and consequently destroying biological processes in treatment plants. So that these hydraulic shocks are associated with reduced hydraulic retention time and less purification time for microorganisms, the organic matter is removed from the system faster and the efficiency of stabilization and removal of pollutants is greatly reduced. Therefore, the composition of wastewater has a great impact on the local environmental situation, so it is important to study the amount of incoming wastewater as well as its environmental quality indicators (Sarkheil et al., 2018; Sarkheil et al., 2019).