Intensive use of antibiotics in health industries have led to the emergence of antibiotic resistance in bacteria. The inefficiency of the existing sewage treatment plants to remove antibiotics can lead to contamination of the groundwater, thus increasing the risk of antibiotic resistance. Ampicillin is a type of antibiotic used in the present study as contaminant. It is a widely used antibiotic to treat various types of infections including gastrointestinal infections and urinary tract infections. Packed column experiments with glass beads and fine sand as the porous material have been conducted to study the transport behavior of Ampicillin in saturated porous medium. Contaminant was introduced to the system for a pulse duration using a constant head setup. Outlet samples were collected periodically and tested using spectrophotometer for residual concentration. The results were simulated using lumped solute transport models such as advection dispersion equation (ADE) model and mobile immobile (MIM) model against advanced triple porosity nonequilibrium (TPNE) model. Various unknown parameters are estimated using parameter estimation algorithm (PEST). The performance of the models was compared by determining the root mean square error (RMSE), determination coefficient (R2) and Nash-Sutcliffe efficiency (NSE). TPNE emerges as better performer capturing the early and skewed breakthrough curves with multiple inflection points.