1. Jilin Institute of Chemical Technology, School of Resource and Environmental Engineering, Jilin, Jilin, 132022; 2. Jilin Chemical Fiber Group Corporation, Water Supply and Drainage Workshop of Guoxing New Material Investment Co, Ltd, Jilin, Jilin, 132000
Abstract: This article employs the response surface design method to optimize the ammonia nitrogen removal efficiency using the MAP method. Significant influencing factors were identified through a PB experiment, and the center point of the BBD experiment was determined via a steepest ascent test. The BBD experiment was designed to ascertain the sequence of influence and optimal conditions for pH value, Mg:N, and P:N molar ratios on the removal of ammonia nitrogen pollutants from water. The findings revealed that the three factors affect the ammonia nitrogen removal rate in the following order: pH > Mg:N > P:N. The optimal conditions were determined as follows: pH 11.02, Mg:N molar ratio of 1.57, and P:N molar ratio of 1.41. Verification experiments confirmed that under these optimal conditions, the ammonia nitrogen removal rate can peak at 95.27%, closely matching the predicted value. This demonstrates the effectiveness of the MAP method in removing ammonia nitrogen pollutants and the high goodness of fit of the response surface regression model.
Research on the Removal of Ammonia-Nitrogen Pollutants via the MAP Method Based on the Box-Behnken Response Surface Methodology
. Journal of Jilin Institute of Chemical Technology, 2025, 42(5): 35-40.
