Decision Support Systems
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 Hale Barter at 520.881.4912.
Making water-resource decisions entails significant 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 system or facility management — 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.
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 monitoring
- Facilitate decision-making, by integrating disparate conceptual, physical, or computerized models of a hydrologic system
- Support water resource management in the face of uncertainties related to availability, demand, and regulatory policy
- Design contaminant cleanup, given uncertainties about aquifer properties and contaminant sources, concentrations, and migration pathways
- Develop ecosystem protection and ecological restoration measures, by considering economic limitations, policy constraints, and competing stakeholder priorities
- Optimize mine dewatering / depressurization programs under specific economic, geotechnical stability, and design constraints