Assessing the Impact of Quarrying Activities on Groundwater Quality in Riverside Limestone Region

Thesis Abstract

The increasing expansion of quarrying activities within the Riverside Limestone Region has raised critical concerns regarding the potential degradation of groundwater quality, which poses significant risks to local communities, agricultural productivity, and ecological sustainability. This study aims to systematically assess the extent to which quarrying operations influence groundwater parameters, with a focus on identifying specific contaminants and understanding the spatial and temporal variations in water quality. The specific objectives are to quantify changes in key groundwater quality indicators, such as pH, turbidity, heavy metals (e.g., lead, cadmium, arsenic), calcium, magnesium, and nitrate concentrations; to evaluate the correlation between quarrying intensity and water quality deterioration; to determine the spatial distribution of groundwater contamination in relation to quarry sites; and to develop a predictive model for groundwater quality based on operational and environmental variables. Employing a mixed-methods research design, this study integrates quantitative hydrochemical analysis with qualitative assessments of quarrying practices. The target population comprises groundwater samples obtained from 50 strategically selected boreholes and wells distributed across the Riverside Limestone Region, with sampling points identified through stratified random sampling to ensure coverage of areas with varying quarrying intensities. Water samples were collected quarterly over one year to capture seasonal variability, using standardized sampling techniques. In the laboratory, physicochemical parameters were analyzed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) for trace metals, alongside portable pH meters and turbidity meters for on-site assessments. Data analysis involved multivariate statistical methods, including regression analysis to ascertain relationships between quarrying activities and water quality parameters, and Analysis of Variance (ANOVA) to detect significant differences across zones. Geospatial analysis employing Geographic Information Systems (GIS) facilitated the visualization of contamination hotspots and spatial correlation with quarrying activity levels. The study also incorporates a theoretical framework grounded in the Environmental Kuznets Curve and the Groundwater Vulnerability Model, providing conceptual lenses through which the impact mechanisms and socio-economic factors influencing groundwater quality are interpreted. Expected findings indicate statistically significant elevations in heavy metal concentrations and turbidity levels in boreholes proximal to active quarry sites compared to control sites, with seasonal variations influenced by rainfall patterns and operational intensity. Spatial analysis is anticipated to reveal contamination gradients diminishing with distance from quarry operations, emphasizing the need for targeted mitigation strategies. This research contributes to the existing body of knowledge by providing empirical, location-specific data on subterranean water pollution attributable to limestone quarrying and advancing understanding of the socio-environmental interplay involved. Moreover, the development of a predictive, GIS-based model offers a practical tool for stakeholders to monitor and manage groundwater quality proactively, facilitating data-driven decision-making for sustainable quarrying practices. The study concludes that quarrying activities significantly compromise groundwater quality in the Riverside Limestone Region, primarily through heavy metal leaching and increased turbidity. Policy recommendations emphasize the enforcement of environmental regulations, the implementation of buffer zones around groundwater sources, and the adoption of environmentally sustainable quarrying techniques. Future research avenues include longitudinal monitoring to evaluate long-term impacts and the integration of socio-economic analyses to assess community resilience against water quality degradation, thereby supporting holistic resource management strategies.