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Luk Peeters
Luk Peeters
CSIRO Land and Water
Verified email at csiro.au - Homepage
Title
Cited by
Cited by
Year
A review of surrogate models and their application to groundwater modeling
MJ Asher, BFW Croke, AJ Jakeman, LJM Peeters
Water Resources Research 51 (8), 5957-5973, 2015
4852015
Australian groundwater modelling guidelines
B Barnett, L Townley, V Post, R Evans, R Hunt, L Peeters, S Richardson, ...
National Water Commission, 2012
1932012
Hydrogeological conceptual model building and testing: A review
T Enemark, LJM Peeters, D Mallants, O Batelaan
Journal of Hydrology 569, 310-329, 2019
1532019
Application of a multimodel approach to account for conceptual model and scenario uncertainties in groundwater modelling
R Rojas, S Kahunde, L Peeters, O Batelaan, L Feyen, A Dassargues
Journal of Hydrology 394 (3-4), 416-435, 2010
1332010
The Australian water resource assessment modelling system (AWRA)
J Vaze, N Viney, M Stenson, L Renzullo, A Van Dijk, D Dutta, R Crosbie, ...
Proceedings of the 20th International Congress on Modelling and Simulation …, 2013
792013
The Australian water resource assessment modelling system (AWRA)
J Vaze, N Viney, M Stenson, L Renzullo, A Van Dijk, D Dutta, R Crosbie, ...
Proceedings of the 20th International Congress on Modelling and Simulation …, 2013
792013
Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self-Organizing Map
L Peeters, F Bação, V Lobo, A Dassargues
Hydrology and Earth System Sciences Discussions Discussions 3 (4), 1487-1516, 2006
772006
Estimating groundwater recharge and its associated uncertainty: Use of regression kriging and the chloride mass balance method
RS Crosbie, LJM Peeters, N Herron, TR McVicar, A Herr
Journal of Hydrology 561, 1063-1080, 2018
742018
Relating small-scale sedimentary structures and permeability in a cross-bedded aquifer
M Huysmans, L Peeters, G Moermans, A Dassargues
Journal of Hydrology 361 (1-2), 41-51, 2008
742008
Accounting for surface–groundwater interactions and their uncertainty in river and groundwater models: A case study in the Namoi River, Australia
DW Rassam, L Peeters, T Pickett, I Jolly, L Holz
Environmental Modelling & Software 50, 108-119, 2013
582013
Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self-Organizing Map
L Peeters, F Bação, V Lobo, A Dassargues
Hydrology and Earth System Sciences 11 (4), 1309-1321, 2007
582007
Groundwater recharge from overbank floods
RC Doble, RS Crosbie, BD Smerdon, L Peeters, FJ Cook
Water Resources Research 48 (9), 2012
562012
Bayesian data fusion applied to water table spatial mapping
D Fasbender, L Peeters, P Bogaert, A Dassargues
Water Resources Research 44 (12), 2008
492008
Bayesian data fusion for water table interpolation: Incorporating a hydrogeological conceptual model in kriging
L Peeters, D Fasbender, O Batelaan, A Dassargues
Water Resources Research 46 (8), 2010
402010
Relationship between sedimentary features and permeability at different scales in the Brussels Sands
M Possemiers, M Huysmans, L Peeters, O Batelaan, A Dassargues
Geologica Belgica 15 (3), 2012
392012
A truly spatial random forests algorithm for geoscience data analysis and modelling
H Talebi, LJM Peeters, A Otto, R Tolosana-Delgado
Mathematical Geosciences 54, 1-22, 2022
322022
Emulator-enabled approximate Bayesian computation (ABC) and uncertainty analysis for computationally expensive groundwater models
T Cui, L Peeters, D Pagendam, T Pickett, H Jin, RS Crosbie, M Raiber, ...
Journal of Hydrology 564, 191-207, 2018
312018
Assumption Hunting in Groundwater Modeling: Find Assumptions Before They Find You
LJM Peeters
Groundwater 55 (5), 665-669, 2017
302017
Estimating seepage flux from ephemeral stream channels using surface water and groundwater level data
SL Noorduijn, M Shanafield, MA Trigg, GA Harrington, PG Cook, ...
Water Resources Research 50 (2), 1474-1489, 2014
302014
High-resolution paleovalley classification from airborne electromagnetic imaging and deep neural network training using digital elevation model data
Z Jiang, D Mallants, L Peeters, L Gao, C Soerensen, G Mariethoz
Hydrology and Earth System Sciences 23 (6), 2561-2580, 2019
292019
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