Abstract
In the development of policies and regulations for groundwater protection, in permitting, and in planning monitoring and remedial actions, the role of mathematical models is growing rapidly. Because water-resource management decisions should be based on technically and scientifically sound methods, quality assurance (QA) needs to be applied to groundwater modeling, both in model development and field studies, and should also play an important part in model selection. Important aspects of QA in groundwater model development are peer review, and verification and validation of the computer code and its underlying theoretical principles. This paper discusses the role of review and testing as part of an overall QA approach, and addresses QA in model selection and field application.
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