expected to directly access the components that would be in this toolkit.
However, the specification of the focus, extent, and goals of the problem
being addressed (via the conceptual model established through dialogue
between managers and modelers) should determine the scope of these components and the manner in which they will be used. Ultimately, the degree
to which a site-specific implementation develops its own technical methods
versus tapping the resources of existing models can significantly affect the
scope of the project. Therefore, of the different toolkits considered in this
chapter, the modeling and assessment toolkit may realize the most significant time and cost savings for a given place-based implementation because
of the generally high cost of both the modeling development effort and
conducting adequate quality assurance.
12.6.1 General Functionality
The modeling and assessment toolkit would export its results to the decision maker’s and stakeholder’s toolkits. The particular modeling results
exported, and the input parameters used to create them, will be significantly
influenced by the conceptual toolkit and by the particular decision being
addressed. Because the input parameters will already have been determined via collaboration with the modeler, it may be possible to run the
model to provide output to the other toolkits dynamically. If this is not possible for computational or other reasons, a data set of model results can be
provided to the other toolkits for each set of assumptions. Either method
for providing results must be flexible enough to provide alternative results
based upon changes in these modeling assumptions. In some cases, the
models themselves must also be made available because they may directly
affect the outcome of any decision functions that are evaluated.
240
Jeffery P. Holland et al.
into many GMS-supported modeling tools. Results from models
are output in formats that are easily viewed over the Internet or on
a personal computer with standard browsers, graphical tools, and
animators. Further, most data used to set up a particular subsurface
model are directly transferable for use by another GMS-supported
model.
The overall result of the use of the GMS toolkit is the development
of streamlined and integrated computational methods that improve
the productive use of subsurface models in support of contaminated
groundwater restoration and cleanup. These increases in productivity
have translated to reduced resources (time and money) for modeling
and assessment and to optimized site cleanup and restoration designs
that more completely consider site uncertainties.
However, the specification of the focus, extent, and goals of the problem
being addressed (via the conceptual model established through dialogue
between managers and modelers) should determine the scope of these components and the manner in which they will be used. Ultimately, the degree
to which a site-specific implementation develops its own technical methods
versus tapping the resources of existing models can significantly affect the
scope of the project. Therefore, of the different toolkits considered in this
chapter, the modeling and assessment toolkit may realize the most significant time and cost savings for a given place-based implementation because
of the generally high cost of both the modeling development effort and
conducting adequate quality assurance.
12.6.1 General Functionality
The modeling and assessment toolkit would export its results to the decision maker’s and stakeholder’s toolkits. The particular modeling results
exported, and the input parameters used to create them, will be significantly
influenced by the conceptual toolkit and by the particular decision being
addressed. Because the input parameters will already have been determined via collaboration with the modeler, it may be possible to run the
model to provide output to the other toolkits dynamically. If this is not possible for computational or other reasons, a data set of model results can be
provided to the other toolkits for each set of assumptions. Either method
for providing results must be flexible enough to provide alternative results
based upon changes in these modeling assumptions. In some cases, the
models themselves must also be made available because they may directly
affect the outcome of any decision functions that are evaluated.
240
Jeffery P. Holland et al.
into many GMS-supported modeling tools. Results from models
are output in formats that are easily viewed over the Internet or on
a personal computer with standard browsers, graphical tools, and
animators. Further, most data used to set up a particular subsurface
model are directly transferable for use by another GMS-supported
model.
The overall result of the use of the GMS toolkit is the development
of streamlined and integrated computational methods that improve
the productive use of subsurface models in support of contaminated
groundwater restoration and cleanup. These increases in productivity
have translated to reduced resources (time and money) for modeling
and assessment and to optimized site cleanup and restoration designs
that more completely consider site uncertainties.