Industrial pollution is a significant environmental issue in Zambian environments, affecting both human health and ecosystems. A mixed-method approach combining quantitative data analysis with qualitative case studies was employed. Statistical models were used to predict pollution levels, while field observations provided real-world data on the effectiveness of proposed solutions. Pollution levels in industrial zones decreased by 20% after implementing recommended mitigation measures, as evidenced by a regression model predicting reduction rates (R² = 0. 85). The methodological framework established can guide future pollution control efforts and improve environmental sustainability. Policy makers should prioritise the implementation of these solutions to reduce industrial pollution in Zambia's environments.
Chilufya et al. (Mon,) studied this question.
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