Our sophisticated models address uncertainty to minimize risk and maximize returns.
How effective will your cleanup be in 5 years? How accurately will your groundwater flow model predict future impacts? Where — and how often — should you obtain monitoring data? How should you plan for a long-term water supply in the face of changing policies, demands, and aquifer conditions?
To learn more, contact Mark Thomasson at 520.881.4912.
Making water-resource decisions entails a degree of risk and expense. M&A uses models to quantify uncertainty and factor it into the decision-making process so our clients can minimize their future risk and reduce future costs. Our Decision Support System (DSS) models help clients improve data collection, project design, and facility operations — all within the context of a statistical analysis of relative costs and benefits. Inherently integrative and flexible, our DSS models are tailored to the unique demands of each client and project.
Applications
M&A’s DSS models can optimize…
- Data-collection strategies, minimizing risk by projecting the value of the proposed data acquisition and analyzing the costs / benefits of historical monitoring.
- Decision-making by integrating disparate conceptual, physical, or computerized models of a hydrologic system.
- Management of water resources in the face of uncertainties related to availability, demand, and regulatory policy.
- Contaminant cleanup, given uncertainties about aquifer properties and contaminant sources, concentrations, and migration pathways.
- Ecosystem protection and ecological restoration measures, by considering economic limitations, policy constraints, and competing stakeholder priorities.
- Mine dewatering / depressurization programs under specific economic, geotechnical stability, and mine-design constraints.
Acronyms & Abbreviations
