Staff profiles

Catherine MooreSenior Groundwater Modeller

Moore Catherine 4191

Department

Hydrogeology and Geophysics

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Qualifications

  • MSc
  • Dip. Eng
  • BSc
  • PhD

Areas of expertise

  • Groundwater: Modeling
  • Groundwater: Monitoring
  • Groundwater: Security for Municpal water supply
  • Groundwater: Contaminants transport modeling
  • Groundwater: Integrated hydrological modelling
  • Groundwater: Seawater Intrusion
  • Groundwater: Landuse impact on groundwater quality
  • Groundwater: Groundwater-surface water interaction
  • Business Development: Groundwater modeling
  • Groundwater: Risk Assessment

Major Publications

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  • Doherty, J.; Moore, C.R. 2020. Decision support modeling : data assimilation, uncertainty quantification, and strategic abstraction, Ground water 58(3): p. 327-337. DOI: 10.1111/gwat.12969. p. 327-337
  • White, J.T.; Knowling, M.J.; Moore, C.R. 2020. Consequences of groundwater-model vertical discretization in risk-based decision making, Ground water 58(5): p. 695-709. DOI: 10.1111/gwat.12957. p. 695-709
  • Moridnejad, M.; Cameron, S.G.; Shamseldin, A.Y.; Verhagen, F.; Moore, C.R.; Melville, B.W.; Ward, N.D. 2020. Stream temperature modeling and fiber optic temperature sensing to characterize groundwater discharge, Ground water 58(4): p. 661-673. DOI: 10.1111/gwat.12938. p. 661-673
  • Cartwright, I.; Morgenstern, U.; Howcroft, W.; Hofmann, H.; Armit, R.; Stewart, M.K.; Burton, C.; Irvine, D. 2020. The variation and controls of mean transit times in Australian headwater catchments, Ground water 34(21): p. 4034-4048. DOI: 10.1002/hyp.13862. p. 4034-4048
  • White, J.T.; Knowling, M.J.; Fienen, M.N.; Feinstein, D.T.; McDonald, G.W.; Moore, C.R. 2020. A non-intrusive approach for efficient stochastic emulation and optimization of model-based nitrate-loading management decision support, Environmental Modelling & Software 126: article 104657. DOI: 10.1016/j.envsoft.2020.104657. article 104657
  • Knowling, M.J.; White, J.T.; McDonald, G.W.; Kim, J.-H.; Moore, C.R.; Hemmings, B.J.C. 2020. Disentangling environmental and economic contributions to hydro-economic model output uncertainty : an example in the context of land-use change impact assessment, Environmental Modelling & Software 127: 104653. DOI: 10.1016/j.envsoft.2020.104653. 104653
  • Knowling, M.J.; White, J.T.; Moore, C.R.; Rakowski, P.; Hayley, K. 2020. On the assimilation of environmental tracer observations for model-based decision support, Hydrology and Earth System Sciences 24(4): p. 1677-1689. DOI: 10.5194/hess-24-1677-2020. p. 1677-1689
  • Sarris, T.S.; Scott, D.M.; Close, M.E.; Humphries, B.; Moore, C.R.; Burbery, L.F.; Rajanayaka, C.; Barkle, G.; Hadfield, J. 2019. The effects of denitrification parameterization and potential benefits of spatially targeted regulation for the reduction of N-discharges from agriculture, Journal of Environmental Management 247: p. 299-312. DOI: 10.1016/j.jenvman.2019.06.074. p. 299-312
  • Knowling, M.J.; White, J.T.; Moore, C.R. 2019. Role of model parameterization in risk-based decision support : an empirical exploration, Advances in Water Resources 128: p. 59-73. DOI: 10.1016/j.advwatres.2019.04.010. p. 59-73
  • Sarris, T.S.; Close, M.E.; Moore, C.R. 2019. Uncertainty assessment of nitrate reduction in heterogeneous aquifers under uncertain redox conditions, Stochastic Environmental Research and Risk Assessment 33(8-9): p. 1609-1627. DOI: 10.1007/s00477-019-01715-w. p. 1609-1627
  • Snelder, T.H.; Moore, C.R.; Kilroy, C. 2019. Nutrient concentration targets to achieve periphyton biomass objectives incorporating uncertainties, Journal of the American Water Resources Association 55(6): p. 1443-1463. DOI: 10.1111/1752-1688.12794. p. 1443-1463
  • Cui, T.; Moore, C.R.; Raiber, M. 2018. Probabilistic assessment of the impact of coal seam gas development on groundwater : Surat Basin, Australia, Hydrogeology journal 26(7): p. 2357-2377. DOI: 10.1007/s10040-018-1786-2. p. 2357-2377
  • Sreekanth, J.; Moore, C.R. 2018. Novel patch modelling method for efficient simulation and prediction uncertainty analysis of multi-scale groundwater flow and transport processes, Journal of Hydrology 559: p. 122-135. DOI: 10.1016/j.jhydrol.2018.02.028. p. 122-135
  • Doherty, J.; Moore, C.R. 2017. Simple is beautiful 8 p.
  • Middlemis, H.; Walker, G.; Peeters, L.; Richardson, S.; Hayes, P.; Moore, C.R. 2017. Groundwater modelling uncertainty – implications for decision making. Summary report of the national groundwater modelling uncertainty workshop, 10 July 2017, Sydney, Australia DOI: 10.25957/5ca5641defe56. Adelaide: Flinders University. 87 p.
  • Burbery, L.F.; Moore, C.R.; Jones, M.A.; Abraham, P.M.; Humphries, B.L.; Close, M.E. 2017. Study of connectivity of open framework gravel facies in the Canterbury Plains aquifer using smoke as a tracer, Geology and geomorphology of alluvial and fluvial fans : terrestrial and planetary perspectives : DOI: 10.1144/SP440.10.
  • Sreekanth, J.; Moore, C.R.; Wolf, L. 2016. Pareto-based efficient stochastic simulation : optimization for robust and reliable groundwater management, Journal of Hydrology 533: p. 180-190. DOI: 10.1016/j.jhydrol.2015.12.001. p. 180-190
  • Sreekanth, J.; Moore, C.R. 2015. CSG water reinjection impacts : modelling, uncertainty and risk analysis; Groundwater flow and transport modelling and uncertainty analysis to quantify the water quantity and quality impacts of a coal seam gas produced water reinjection scheme in the Sura Canberra, A.C.T.: CSIRO. 97 p.
  • Sreekanth, J.; Moore, C.R. 2015. CSG water reinjection impacts: Modelling, uncertainty and risk analysis. Groundwater flow and transport modelling and uncertainty analysis to quantify the water quantity and quality impacts of a coal seam gas produced water reinjection scheme in Surat Bas DOI: 10.5072/83/5849a23238056. Brisbane, Qld.: CSIRO. 97 p.
  • Sreekanth, J.; Moore, C.R.; Wolf, L. 2015. Estimation of optimal groundwater substitution volumes using a distributed parameter groundwater model and prediction uncertainty analysis, Water Resources Management 29(10): p. 3663-3679. DOI: 10.1007/s11269-015-1022-y. p. 3663-3679
  • Wallis, I.; Moore, C.R.; Post, V.; Wold, J.; Martens, E.; Prommer, H. 2014. Using predictive uncertainty analysis to optimise tracer test design and data acquisition, Journal of Hydrology 515: p.. DOI: 10.1016/j.jhydrol.2014.04.061. p.
  • Moore, C.R.; Cui, T.; Doherty, J.; Turnadge, C.; Pagendam 2014. Uncertainty analysis, data-worth analysis, and hypothesis testing : environmental impact assessments of cumulative impacts of coal seam gas extraction in the Surat Basin, Queensland Brisbane, Qld.: CSIRO. 218 p.
  • Moore, C.R.; Doherty, J.; Howell, S.; Erriah, L. 2014. Some challenges posed by coal bed methane regional assessment modeling, Ground water : p. 737-747. DOI: 10.1111/gwat.12276. p. 737-747
  • Moore, C.R.; Cui, T.; Doherty, J.; Turnadge, C.; Pagendam, D.; Peeters, L. 2014. Uncertainty analysis, data-worth analysis, and hypothesis testing: Environmental impact assessments of cumulative impacts of coal seam gas extraction in the Surat Basin, Queensland Brisbane, Qld.: CSIRO. 218 p.
  • Moore, C.R.; Doherty, J.; Howell, S.; Erriah, L.; Verteuil, D.; Cui, T. 2013. Challenges for upscaling hydraulic properties and processes in the Coal Seam Gas context Brisbane, Qld.: CSIRO.
  • Engelhardt, I.; Prommer, H.; Moore, C.R.; Schulz, M.; Scuth, C.; Ternes, T.A. 2013. Suitability of temperature, hydraulic heads, and acesulfame to quantify watewater-related fluxes in the hyporheic and riparian zone, Water Resources Research 49(1): DOI: 10.1029/2012WR012604.
  • Moore, C.R.; Wolf, L.; Sreekanth, J.; Bleakley, A.; Arunakumaren, J. 2012. Using coupled model systems for the estimation of optimum water import volumes for the Lockyer Valley, Implications of using purified recycled water as an adjunct to groundwater resources for irrigation in the Lockyer Valley : p. 152-192. p. 152-192
  • Welsh, W.; Moore, C.R.; Turnadge, C.; Smith, A.; Barr, A. 2012. Modelling of climate and development. A technical report to the Australian Government from the CSIRO Great Artesian Basin Water Resource Assessment DOI: 10.4225/08/584c45870a29b. Canberra, A.C.T.: CSIRO. 91 p.
  • Sreekanth, J.; Wolf, L.; Moore, C.R.; Most, S.; Kodur, S. 2012. Impact of climate change on groundwater in the Lockyer Valley, Implications of using purified recycled water as an adjunct to groundwater resources for irrigation in the Lockyer Valley : p. 193-207. p. 193-207
  • Moore, C.R.; Nokes, C.; Loe, B.; Close, M.; Pang, L.; Smith, V.; Osbaldiston, S. 2010. Guidelines for separation distances based on virus transport between on-site domestic wastewater systems and wells Porirua, N.Z.: Environmental Science and Research. ESR client report CSC1001 269 p.
  • Moore, C.R.; Wohling, T.; Doherty, J. 2010. Efficient regularization and uncertainty analysis using a global optimization methodology, Water Resources Research 46(8): DOI: 10.1029/2009WR008627.
  • Mares, T.E.; Moore, T.A.; Moore, C.R. 2009. Uncertainty of gas saturation estimates in a subbituminous coal seam, International journal of coal geology 77(3/4): p. 320-327. DOI: 10.1016/j.coal.2008.07.002. p. 320-327
  • Tonkin, M.; Doherty, J.; Moore, C.R. 2007. Efficient nonlinear predictive error variance for highly parameterized models, Water Resources Research 43(7): DOI: 10.1029/2006WR005348.
  • Moore, C.R.; Doherty, J. 2006. The cost of uniquenes in groundwater model calibration, Advances in Water Resources 29(4): DOI: 10.1016/j.advwatres.2005.07.003.
  • Christensen, S.; Moore, C.R.; Doherty, J. 2006. Comparison of stochastic and regression based methods for quantification of predictive uncertainty of model-simulated wellhead protection zones in heterogeneous aquifers, Calibration and reliability in groundwater modelling : from uncertainty to decision making : Proceedings of ModelCARE'2005, The Hague, The Netherlands, June 2005 : p. 202-208. p. 202-208
  • Moore, C.R.; Doherty, J. 2005. Role of the calibration process in reducing model predictive error, Water Resources Research 41(5): DOI: 10.1029/2004WR003501.
  • Bidwell, V.J.; Callander, P.F.; Moore, C.R. 1991. An application of time-series analysis to groundwater investigation and management in central Canterbury, New Zealand, Journal of Hydrology, New Zealand 30(1): p. 16-36. [s.l.]: [s.n.]. p. 16-36

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