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Application of genetic algorithms for calibration and verification of QUAL2E model
Date
2004-07-01
Author
Göktaş, Recep Kaya
Aksoy, Ayşegül
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Traditional trial-and-error methods make the calibration and verification of a model considerably time consuming. In addition, it is doubtful whether the best results will be achieved. However, by use of optimization techniques in calibration and verification, the best kinetic parameter estimates can be obtained in a shorter time period. In this study, a genetic algorithm (GA) is used to determine the reaeration coefficients for QUAL2E. An objective function, defined by sum-of-least-squares, is used in order to describe the difference between the observed and simulated dissolved oxygen concentrations. Simultaneous calibration and verification is carried out by treating the verification of the calibrated parameters as a constraint. The efficacy of GAs in predicting the model parameters is evaluated for perfect and biased measurements. The results show that GAs can successfully carry out simultaneous calibration and verification, and estimate the best set of reaeration coefficients to be used in stream water quality modeling with QUAL2E, especially for the accurate observation data.
Subject Keywords
Calibration
,
Optimization
,
QUAL2E
,
Verification
,
Water quality modeling
,
Genetic algorithms
URI
https://hdl.handle.net/11511/82710
https://www.scopus.com/record/display.uri?eid=2-s2.0-23844460617&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=efff218e65eecda3b645a3be0e45d695&sot=b&sdt=b&sl=98&s=TITLE-ABS-KEY+%28Application+of+genetic+algorithms+for+calibration+and+verification+of+QUAL2E+model%29&relpos=0&citeCnt=3&searchTerm=
Conference Name
Application of genetic algorithms for calibration and verification of QUAL2E model", Application of genetic algorithms for calibration and verification of QUAL2E model, Salt Lake City, Amerika Birleşik Devletleri, 27 Haziran - 01 Temmuz 2004
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Department of Environmental Engineering, Conference / Seminar
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Application of genetic algorithms to calibration and verification of QUAL2E
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The objective of this study is to develop a calibration and verification tool for the QUAL2E Model by using Genetic Algorithms. In the developed optimization model, an objective function that is formulated on the basis of the sum-of-least squares approach aiming at minimizing the difference between the observed and simulated quantities was used. In order to perform simultaneous calibration and verification, verification of the calibrated results was treated as a constraint and inserted into the objective fu...
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R. K. Göktaş and A. Aksoy, “Application of genetic algorithms for calibration and verification of QUAL2E model,” presented at the Application of genetic algorithms for calibration and verification of QUAL2E model”, Application of genetic algorithms for calibration and verification of QUAL2E model, Salt Lake City, Amerika Birleşik Devletleri, 27 Haziran - 01 Temmuz 2004, Salt Lake City, Amerika Birleşik Devletleri, 2004, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/82710.