ORT Modeller Case Studies: Real-World Applications and ResultsORT Modeller is a flexible simulation and modelling platform used across environmental engineering, remediation planning, risk assessment, and research. This article examines several real-world case studies that demonstrate how ORT Modeller has been applied to solve practical problems, optimize designs, and provide actionable results for stakeholders. Each case study highlights the project background, modelling approach, key findings, and lessons learned.
Case Study 1 — Groundwater Remediation Design for a Contaminated Industrial Site
Background A former manufacturing facility was found to have chlorinated solvent plumes in a shallow aquifer. The site owner needed a cost-effective remediation design and a defensible plan for regulatory approval.
Modelling approach
- Built a three-dimensional groundwater flow and transport model representing the aquifer geometry, layered lithology, hydraulic properties, and existing monitoring well network.
- Calibrated the model to historical water levels and contaminant concentration trends using automated parameter estimation.
- Simulated alternative remediation scenarios: pump-and-treat wellfield configurations, in-situ chemical oxidation (ISCO) injections, and combined approaches.
Key results
- The model predicted that a targeted pump-and-treat system combined with periodic ISCO pulses reduced contaminant mass by ~85% over 10 years, compared with ~40% for pump-and-treat alone.
- Sensitivity analysis identified that injection spacing and native aquifer heterogeneity were the dominant factors affecting treatment performance.
- Optimized wellfield design reduced expected lifecycle costs by approximately 28% while meeting regulatory cleanup targets within the projected timeline.
Lessons learned
- Accurate representation of heterogeneity was essential; using simplified homogeneous layers produced overly optimistic cleanup times.
- Including operational constraints (e.g., injection rates, accessibility) during optimization led to more implementable designs.
Case Study 2 — Coastal Saltwater Intrusion Assessment for a Municipal Water Supply
Background A coastal aquifer supplying a regional municipality was at risk of saltwater intrusion due to seasonal pumping pressures and long-term sea level rise. Planners needed projections for sustainable pumping limits and management measures.
Modelling approach
- Constructed a variable-density groundwater model to simulate the interaction between freshwater and seawater, accounting for density-driven flow.
- Integrated projected sea level rise scenarios and seasonal pumping variations.
- Tested management strategies: reduced pumping, artificial recharge (injection/infiltration basins), and dynamic pumping schedules.
Key results
- Under business-as-usual pumping, simulated inland saltwater encroachment reached critical supply wells within 15–20 years in mid-range sea level rise scenarios.
- Implementing a managed aquifer recharge program combined with reduced pumping rates extended the safe operational lifetime of current wells by 30–50 years, depending on sea level trajectory.
- The model identified optimal timing and locations for recharge basins to create hydraulic barriers to intrusion.
Lessons learned
- Variable-density physics was critical; freshwater-only models underestimated intrusion rates.
- Near-term operational changes combined with long-term infrastructure (recharge) gave the best balance between cost and supply security.
Case Study 3 — Landfill Leachate Plume Monitoring and Containment
Background A municipal landfill showed signs of leachate migration toward a protected wetland. The environmental team needed to evaluate containment options and monitoring strategies.
Modelling approach
- Developed a site-specific flow and transport model including unsaturated zone processes to represent leachate generation and percolation.
- Modeled containment scenarios: impermeable cap installation, perimeter cutoff trenches, and reactive barrier installation downgradient of the landfill.
- Performed stochastic simulations to represent uncertain leachate generation rates and seasonal recharge.
Key results
- A combination of an improved cap plus a downgradient permeable reactive barrier (PRB) was predicted to reduce leachate concentrations reaching the wetland by over 90% within five years.
- Perimeter cutoff trenches alone were insufficient under high recharge years.
- Probabilistic results guided placement of additional monitoring wells in areas with the highest risk of breakthrough.
Lessons learned
- Coupling unsaturated and saturated zone processes provided better insight into timing and magnitude of leachate arrival.
- Stochastic runs clarified confidence intervals for outcomes, which improved regulator and stakeholder communication.
Case Study 4 — Agricultural Nutrient Management in a Watershed
Background A watershed suffered recurring algal blooms linked to nutrient runoff from agricultural land. Local authorities sought models to evaluate BMPs (best management practices) to reduce nutrient loading to surface waters.
Modelling approach
- Used an integrated hydrologic and transport setup to model runoff generation, tile drainage flow, and nutrient transport from fields to streams.
- Represented various BMPs: buffer strips, reduced fertilizer application, cover crops, and controlled drainage structures.
- Combined field-scale process modules with watershed routing to simulate cumulative effects.
Key results
- Cross-field adoption of cover crops and strategic buffer strips reduced peak seasonal nitrogen loads to streams by 35–60% depending on adoption rate.
- Controlled drainage structures lowered annual phosphorus export by 20–30% in highly drained areas.
- Cost-effectiveness analysis showed that a mix of low-cost BMPs achieved most of the benefit compared with expensive, large-scale infrastructure.
Lessons learned
- Local adoption rates and spatial placement of BMPs strongly affected watershed outcomes; targeted implementation near critical source areas yielded outsized benefits.
- Combining field-level practices with landscape-scale planning provided the best results for nutrient reduction per dollar spent.
Case Study 5 — Urban Stormwater Infiltration and Groundwater Recharge
Background A rapidly growing city sought to expand stormwater infiltration to mitigate flooding and augment groundwater supplies without causing groundwater quality issues.
Modelling approach
- Modeled urban subsurface with distributed infiltration basins, permeable pavements, and deep-well injection options.
- Included vadose zone clogging effects, pollutant attenuation, and interactions with existing groundwater infrastructure.
- Assessed scenarios for different rainfall intensities and land-use futures.
Key results
- Distributed infiltration combined with pre-treatment (sedimentation and biofiltration) was projected to increase local groundwater recharge by 15–25% while keeping contaminant concentrations within drinking water guidelines for most scenarios.
- Deep-well injection posed greater risk of mobilizing legacy subsurface contaminants in certain neighborhoods.
- Model outputs supported policy decisions to prioritize infiltration in low-risk zones and invest in pre-treatment at high-flux sites.
Lessons learned
- Pre-treatment is essential when infiltrating urban runoff to avoid long-term groundwater degradation.
- Detailed screening of subsurface contaminant legacy is necessary before large-scale deep injection programs.
Cross-Case Insights and Best Practices
- Model fidelity matters: including the right physical processes (variable density, unsaturated flow, reactive transport) significantly changes outcomes.
- Calibration and uncertainty analysis are crucial for defensible decisions; probabilistic results help regulators and stakeholders understand risk.
- Integrated approaches—linking field-scale processes to watershed or regional models—yield better policy-relevant insight than isolated models.
- Cost-effectiveness and operational constraints should be embedded in scenario testing to produce implementable recommendations.
- Stakeholder engagement benefits from clear visualizations of model scenarios and sensitivity ranges.
Conclusion
These case studies show ORT Modeller’s flexibility across contamination remediation, water-resource management, landfill containment, agricultural nutrient control, and urban stormwater planning. When applied with appropriate physics, calibration, and uncertainty analysis, ORT Modeller can produce practical, cost-sensitive solutions and support transparent decision-making for regulators and stakeholders.