Optimised calibration of regional groundwater model through inverse modeling

Y.S. Yang, AA Cronin, R M Kalin

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

59 Citations (Scopus)

Abstract

Regional groundwater modeling is always constrained by lack of data and lack of understanding of system uncertainty. Inverse modeling of groundwater flow provides both an efficient automated parameter calibration and an additional uncertainty assessment of physically based model. The inverse groundwater modeling was used to identify model parameters and understand uncertainties associated with the regional hydrogeology and groundwater model in Belfast, Northern Ireland. The automated calibration of the model parameters, boundary condition and regional recharge was carried out using non-linear least squared optimisation. The regional groundwater flow model was constrained by uncertainty analysis during the optimal calibration. The sensitivity and confidence intervals obtained from the inverse modeling indicate that the major uncertainties were insufficient head observations and effect of the complex topography in the region. The approach is proved valuable for better understanding of the regional hydrogeology.
LanguageEnglish
Title of host publicationGroundwater
Subtitle of host publicationpast achievements and future challenges
EditorsO. Sililo
Place of PublicationLeiden
Pages437-442
Number of pages6
Publication statusPublished - 2000
EventXXXth International-Association-of-Hydrogeolgists Congress on Groundwater: Past Achievements and Future Challenges - Cape Town, South Africa
Duration: 26 Nov 20001 Dec 2000

Conference

ConferenceXXXth International-Association-of-Hydrogeolgists Congress on Groundwater: Past Achievements and Future Challenges
CountrySouth Africa
CityCape Town
Period26/11/001/12/00

Fingerprint

calibration
groundwater
modeling
hydrogeology
groundwater flow
uncertainty analysis
confidence interval
recharge
boundary condition
topography
parameter

Keywords

  • calibration
  • optimised
  • regional
  • groundwater
  • inverse modelling

Cite this

Yang, Y. S., Cronin, AA., & Kalin, R. M. (2000). Optimised calibration of regional groundwater model through inverse modeling. In O. Sililo (Ed.), Groundwater: past achievements and future challenges (pp. 437-442). Leiden.
Yang, Y.S. ; Cronin, AA ; Kalin, R M. / Optimised calibration of regional groundwater model through inverse modeling. Groundwater: past achievements and future challenges. editor / O. Sililo. Leiden, 2000. pp. 437-442
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Yang, YS, Cronin, AA & Kalin, RM 2000, Optimised calibration of regional groundwater model through inverse modeling. in O Sililo (ed.), Groundwater: past achievements and future challenges. Leiden, pp. 437-442, XXXth International-Association-of-Hydrogeolgists Congress on Groundwater: Past Achievements and Future Challenges , Cape Town, South Africa, 26/11/00.

Optimised calibration of regional groundwater model through inverse modeling. / Yang, Y.S.; Cronin, AA; Kalin, R M.

Groundwater: past achievements and future challenges. ed. / O. Sililo. Leiden, 2000. p. 437-442.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AU - Cronin, AA

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PY - 2000

Y1 - 2000

N2 - Regional groundwater modeling is always constrained by lack of data and lack of understanding of system uncertainty. Inverse modeling of groundwater flow provides both an efficient automated parameter calibration and an additional uncertainty assessment of physically based model. The inverse groundwater modeling was used to identify model parameters and understand uncertainties associated with the regional hydrogeology and groundwater model in Belfast, Northern Ireland. The automated calibration of the model parameters, boundary condition and regional recharge was carried out using non-linear least squared optimisation. The regional groundwater flow model was constrained by uncertainty analysis during the optimal calibration. The sensitivity and confidence intervals obtained from the inverse modeling indicate that the major uncertainties were insufficient head observations and effect of the complex topography in the region. The approach is proved valuable for better understanding of the regional hydrogeology.

AB - Regional groundwater modeling is always constrained by lack of data and lack of understanding of system uncertainty. Inverse modeling of groundwater flow provides both an efficient automated parameter calibration and an additional uncertainty assessment of physically based model. The inverse groundwater modeling was used to identify model parameters and understand uncertainties associated with the regional hydrogeology and groundwater model in Belfast, Northern Ireland. The automated calibration of the model parameters, boundary condition and regional recharge was carried out using non-linear least squared optimisation. The regional groundwater flow model was constrained by uncertainty analysis during the optimal calibration. The sensitivity and confidence intervals obtained from the inverse modeling indicate that the major uncertainties were insufficient head observations and effect of the complex topography in the region. The approach is proved valuable for better understanding of the regional hydrogeology.

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KW - optimised

KW - regional

KW - groundwater

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Yang YS, Cronin AA, Kalin RM. Optimised calibration of regional groundwater model through inverse modeling. In Sililo O, editor, Groundwater: past achievements and future challenges. Leiden. 2000. p. 437-442