|P&T Remedial Challenges
Cloud-Based PBMO™ Optimal Solutions
The PBMO™ Approach
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HGL’s PBMO™ combines groundwater and surface water modeling with a computational optimization engine that rapidly tests numerous options for site management, identifying the most cost- and time-efficient pathways to site restoration. The PBMO™ technology uses the power of cloud-based computing to address environmental and water resource management challenges at a level of detail previously considered impractical.
PBMO™ captures important site-specific physics and accounts for financial constraints to produce optimal solutions that satisfy multiple and sometimes competing objectives. Applied to environmental restoration projects, PBMO™ identifies optimal remedy designs and operation approaches that lead to timely and cost-effective cleanups. For water resource management projects, the tool balances water needs with resource protection.
PBMO™ was developed to address a wide range of site types and issues. It can address a variety of remediation challenges, such as sites with mass transfers between interconnected media, and can reduce the environmental footprint of remedial systems by minimizing cleanup times and reducing capital and energy inputs. Benefits from PBMO™ applications include reduction of potential human health risks, conservation of natural resources, realization of significant cost savings, timely attainment of cleanup goals, and facilitation of stakeholder consensus. Parameter uncertainty is accommodated via Monte Carlo simulations as part of the optimization process.
In this webinar, HGL will provide more details about the computational engine and optimizer user interface (OUI) of PBMO™ than presented previously. In addition, HGL will discuss future enhancements that will improve the ability of PBMO™ to address plume delineation and plume migration during pre-remedial activities at emerging contaminant (e.g., PFAS and PFOA) and DNAPL sites.
For more information about HGL’s AAEES-award-winning PBMO™ software, please click here.