Industrial pollution is a critical issue in Zambian environments, affecting both human health and natural ecosystems. The study employed a combination of literature review and expert consultations to identify existing pollution control measures. A statistical model was developed to assess the impact of these controls on environmental indicators, with uncertainty quantified using robust standard errors. A specific industrial emission control mechanism showed a reduction in particulate matter concentration by approximately 25% within one year, indicating its efficacy in improving air quality. The identified pollution control measures are effective and can be scaled up to other industrial sites in Zambia. Further research is needed to validate these findings across different environmental contexts. Immediate implementation of the recommended controls should be prioritised by local authorities, along with ongoing monitoring and evaluation of their long-term impacts on human health and biodiversity. Industrial Pollution Control, Environmental Engineering, Zambian Environments The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.