(317) 630-9060
Environmental challenges, driven by factors like weather variability and population growth, are complex and evolving. While data collection is essential, it often takes longer than the decision-making timelines allow. MUNDELL addresses this by using advanced modeling approaches to provide insights that help anticipate and mitigate risks in dynamic systems, ensuring sustainability and resilience.
A leader in environmental modeling, MUNDELL combines traditional methods with modern machine learning techniques, utilizing industry-standard software (e.g., MODFLOW, HEC-RAS) and custom models developed with MATLAB and Python. Their diverse project portfolio demonstrates their ability to deliver efficient, client-focused solutions while staying within budgetary constraints.
We specialize in these main categories:
Design Criteria
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- Baseline groundwater elevations given observed and available data
- Groundwater elevations under design specific flood criteria (e.g., 10-yr storm)
- Groundwater elevations based on river stage events (e.g., 100-yr stage event)
- Levee assessment and design
- …more
Monitoring and Data Collection
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- Custom ‘in-house’ set of data collection tools for databases like the USGS
- Monitor and evaluation of groundwater monitoring networks
- Creation and maintaining of SQL style databases for long term monitoring
- Integrated cloud-based tools for near real-time monitoring
- …more
Environmental Modeling
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- Localized Groundwater Modeling (pump sizing and drawdown effects)
- Regional Groundwater Modeling (regional effects of significant withdraw facilities surface water elevations)
- Contaminant Fate and Transport Modeling
- Plume Stability and Analysis
- Time of Release/Arrival Analysis
- Time to Clean Up Analysis
- Exposure Concentration Modeling
- Air quality modeling
- …more
Advanced Modeling with Machine Learning
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- Data driven forecasting with Deep Neural Networks
- Surrogate modeling
- Network Analysis for sensor network expansion and contraction
- Hybrid prediction models using numerical and analytical data as training data
- Data driven flood predictions using USGS gage data
- Integrated cloud tools for client-side use
- …more
Models and Techniques
- MODFLOW
- GFLOW
- Analytical Models
- MATLAB
- PYTHON3
- Google Colab with Gemini
- Coincident Frequency Analysis
- Hydrology Models
