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Blasting is an essential operation in quarrying for rock fragmentation, but it also generates environmental impacts such as ground vibration and Air Overpressure (AOP), which can cause structural damage, safety concerns, and public complaints. While previous research has extensively examined the influence of parameters such as maximum charge per delay, distance between the blast location and structure, and delay timing, the effect of elevation on blast-induced impacts has received limited attention, particularly in quarries with uneven terrain. This study investigates the influence of elevation on ground vibration and air overpressure generated during quarry blasting. Field data were collected from two mines, i.e., 25 blast events monitored within and surrounding the quarry boundary at varying elevations with a varying range of 22-29m in one mine and 3-28m in the other. Ground vibration is monitored to determine the Peak Particle Velocity (PPV) using a pressure seismograph/transducer. The collected data were analysed to understand the relationship between differences in elevation from the blast location and the monitoring point and ground vibration. The results show that the elevation difference has a perceptible effect on ground vibration. Blasts conducted at higher elevations exhibited different attenuation and propagation characteristics compared to those at lower elevations, influenced by atmospheric conditions, topographic effects, and geological discontinuities. The findings highlight the importance of incorporating elevation as a design parameter in blasting practices to improve environmental control, enhance safety, and support sustainable quarry operations. In this study, a predictive model and equation are developed to determine the peak particle velocity considering elevation in addition to Scale Distance (SD) and Maximum Charge per Delay (MCD) using an Artificial Neural Network (ANN) and regression analysis. The predictive equations are validated using the case studies. Major Findings: elevation difference significantly influences blast-induced ground vibration, with peak particle velocity decreasing as elevation increases. The ANN model demonstrated higher prediction accuracy compared to the linear regression model, effectively capturing nonlinear interactions between scaled distance and elevation. Validation with O-PIT Blast software showed strong agreement with ANN results, indicating that the developed model is reliable for safe and sustainable blast design.