Using ANN to model the biological removal of nitrogen compounds from al-Musayyib’s domestic wastewater using an SBR system

Abstract

The process of the biological removal of nitrogen compounds from wastewater that carried out in two stages and includes both nitrification and de-nitrification. Nitrification carried out under aerobic conditions using nitrosamines, which convert ammonia to nitrite. This unstable compound quickly converted to nitrate by nitrobacterium bacteria. This paper details the treatment of real domestic waste water from Al-Musayyib city, Babylon by conducting a laboratory scale batch reactor with different input samples and a variety of cycle times (6, 7, 7.5, 10 and 15 hours). The exploratory outcomes investigated for the detailing of a bolster forward, back-engendering, fake neural system (ANN) to foresee the proficiency of the consolidated expulsion of NO3, and NH3. ANN displaying did utilizing MATLAB's neural system tool compartment and SPSS programming. The removal efficiency of Nitrate (NO3-N) increased when the anaerobic time (AN) of cycles increased, while the removal efficiency of Ammonia (NH3-N) increased when the aerobic time (A) of cycles increased. Removal rates were between 88 and 97.5% for Nitrate (NO3-N), 12.8 and 87.3 % for Ammonia (NH3-N). As per the outcomes, this sort of treatment can utilized to expel nitrogen mixes from local wastewater and for different circumstances where the release is moderately low or temperamental.