Assessing Groundwater Contamination Risks Near the Steel Manufacturing Facility

Thesis Abstract

Groundwater contamination arising from industrial effluents is a growing environmental concern, particularly for communities located adjacent to steel manufacturing facilities, where improper waste disposal and process runoff can threaten aquifer quality. This study investigates the extent and risk of groundwater contamination near the SteelPlus Manufacturing Plant, situated in an industrial corridor with extensive historical production activities. The primary aim is to assess the spatial distribution and potential health risks associated with contaminants such as heavy metals (e.g., lead, cadmium, chromium) and chemical pollutants (e.g., nitrates, sulfates). Specific objectives include identifying contaminant sources, quantifying pollutant concentrations in borehole and well water samples, evaluating hydrogeological factors influencing contaminant migration, and developing a risk profile for local groundwater use. Employing a mixed-methods research design grounded in the Environmental Risk Assessment framework and supported by theories such as the Pollution-Persistent Contaminant Model and the Groundwater Vulnerability Theory, the study combines quantitative hydrochemical analysis with qualitative assessments of industrial waste management practices. The population comprises 150 groundwater sampling points within a 5-kilometer radius of the facility, selected through stratified random sampling to ensure spatial representativeness. Data collection involves collecting water samples quarterly over a one-year period, analyzed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) for heavy metals and spectrophotometry for chemical pollutants. In addition, interviews with plant engineers and environmental officers provide contextual insights into waste handling and disposal processes. Data analysis encompasses descriptive statistics to summarize contaminant levels, geostatistical techniques such as kriging for spatial distribution mapping, and multivariate regression models to identify significant predictors of contamination levels. The analytical framework also incorporates risk assessment models based on guidelines from the World Health Organization (WHO) and the United States Environmental Protection Agency (USEPA) to estimate potential health implications for local residents relying on the groundwater sources. Key anticipated findings suggest elevated concentrations of heavy metals and chemicals in groundwater samples within 2 kilometers of the steel plant, surpassing permissible limits specified by regulatory standards. Spatial analysis is expected to reveal contamination hotspots aligned with known waste disposal sites and areas of high hydrogeological permeability. The regression analysis is projected to identify significant correlations between waste management practices, hydrogeological variables, and pollutant levels. These findings will enable the development of an environmental risk profile, quantifying the potential health risks associated with groundwater consumption in affected communities. This research contributes novel insights into the hydrogeochemical impacts of steel manufacturing activities, filling critical gaps in data regarding industrial contaminant pathways in developing country contexts. It advances theoretical understanding by integrating the Pollution-Persistent Contaminant Model with groundwater vulnerability assessments, offering an innovative framework for industrial pollution studies. The practical implications include informing regulatory agencies and industrial operators on effective waste management and remediation strategies, grounded in empirical risk assessments. The study concludes by emphasizing the urgent need for improved waste treatment facilities, regular groundwater monitoring, and community awareness programs. Recommendations advocate for stricter enforcement of environmental regulations, implementation of sustainable waste disposal practices, and establishment of comprehensive groundwater quality management plans. Further research is suggested to explore long-term remediation strategies and the socio-economic impacts of groundwater contamination, ensuring sustainable industrial development with minimal environmental health risks.