Integration
of RBCA Frameworks and Remediation Technologies
Journal of Remediation
(The Journal of Environmental Cleanup Costs, Technologies
& Techniques), Summer 1997, pp 97-107
Joseph E. Odencrantz and David Duran
ABSTRACT:
Decisions
that determine the proper risk-based remediation approach are
based on technical, regulatory, cost, legal, and political factors.
A wide variety of options such as the ASTM RBCA tiered approach,
the API Decision Support Software, and a host of agency specific
methods and commercial risk assessment software are all available.
The optimization of a remediation project requires the right
remediation technology coupled with the appropriate analytical
framework. For groundwater remediation, the application of various
"risk reduction" technologies can be classified as
aggressive (pump and treat), moderate intensity (air sparging),
low intensity (oxygen release compound-ORGY), and intrinsic
(monitor only). The time frame of risk analysis will establish
the proper risk reduction strategy. The selection process is
inherently iterative, and the approach by which an optimal solution
can be derived forms the basis of this article. A case study
of a Texas site put these issues into context.
The
current state of the art in the field of remediation of contaminated
soil and groundwater sites involves the coupling of the movement
of chemicals in air, soil, and water (transport) with the estimation
of their effects once they have reached their "location"
of interest. Risk estimation involves the averaging of chemical
concentrations at receptor locations for varying periods of
time and their pathways into the human body (human health risks)
or the natural environment (ecological risks). Risk-based corrective
action (RBCA) has become the latest attempt at merging transport
and risk (ASTM, 1995). The application of RBCA involves a tiered
approach starting with a screening look-up exhibit with default
parameters (Tier I) to a complicated approach for difficult
sites involving multi-parameter models and uncertainty analysis
(Tier III). The American Petroleum Institute has developed the
Decision Support Software (DSS) (API, 1994) to aid with the
implementation of RBCA.