Abstract
| Original language | English |
|---|---|
| Title of host publication | Groundwater |
| Subtitle of host publication | past achievements and future challenges |
| Editors | O. Sililo |
| Place of Publication | Leiden |
| Pages | 437-442 |
| Number of pages | 6 |
| Publication status | Published - 2000 |
| Event | XXXth International-Association-of-Hydrogeolgists Congress on Groundwater: Past Achievements and Future Challenges - Cape Town, South Africa Duration: 26 Nov 2000 → 1 Dec 2000 |
Conference
| Conference | XXXth International-Association-of-Hydrogeolgists Congress on Groundwater: Past Achievements and Future Challenges |
|---|---|
| Country | South Africa |
| City | Cape Town |
| Period | 26/11/00 → 1/12/00 |
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Keywords
- calibration
- optimised
- regional
- groundwater
- inverse modelling
Cite this
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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 proceeding › Conference contribution book
TY - GEN
T1 - Optimised calibration of regional groundwater model through inverse modeling
AU - Yang, Y.S.
AU - Cronin, AA
AU - Kalin, R M
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.
KW - calibration
KW - optimised
KW - regional
KW - groundwater
KW - inverse modelling
M3 - Conference contribution book
SN - 9058091597
SP - 437
EP - 442
BT - Groundwater
A2 - Sililo, O.
CY - Leiden
ER -