Record Display for the EPA National Library Catalog

RECORD NUMBER: 23 OF 28

Main Title Quality assurance in computer simulations of groundwater contamination /
Author Van der Heijde, Paul. ; van der Hiejde, P. K. M.
CORP Author International Ground Water Modeling Center, Indianapolis, IN.;Robert S. Kerr Environmental Research Lab., Ada, OK.
Publisher Robert S. Kerr Environmental Research Laboratory, U.S. Environmental Protection Agency,
Year Published 1987
Report Number EPA 600/J-87/084; EPA-R-812603
Stock Number PB88-124524
OCLC Number 31069992
Subjects Groundwater--Mathematical models--Quality control ; Groundwater--Computer programs--Quality control ; Groundwater--Pollution--Mathematical models ; Groundwater--Pollution--Computer programs ; Water, Underground--Mathematical models--Quality control ; Water, Underground--Computer programs--Quality control ; Water, Underground--Pollution--Mathematical models ; Water, Underground--Pollution--Computer programs
Additional Subjects Ground water ; Contamination ; Water resources ; Computerized simulation ; Regulations ; Mathematical models ; Quality assurance ; Reprints ; Environmental monitoring
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=9100NK1O.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EMBD  EPA/600/J-87/084 NRMRL/GWERD Library/Ada,OK 05/12/1995
NTIS  PB88-124524 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation pages 19-25 ; 28 cm.
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. The paper discusses the role of review and testing as part of an overall QA approach, and addresses QA in model selection and field application. (Copyright (c) 1987 Computational Mechanics Publication.)
Notes
Caption title. EPA/600/J-87/084 PB88-124524 Includes bibliograhical references (p. 24-25).