Postdoctoral Research Fellow
School of Civil, Environmental and Mining Engineering
Faculty of Engineering, Computer and Mathematical Sciences
My research focuses on the development and application of state-of-the-art modelling approaches to provide robust and defensible decision-making support for real-world resource management problems.
My work combines data assimilation, uncertainty assessment and optimisation under uncertainty approaches with process-based environmental models. For example, I have applied hydrological models that simulate advective-dispersive-reactive contaminant transport to identify optimal land-use management strategies (i.e., by maximising farm production while satisfying ecological river health conditions).
A particular interest of mine is improving the efficiency and scalability of the decision-support modelling approaches such that they are applicable to complex and high dimensional problems. I am also interested in model emulation and data-driven methods; however, most problems that I have encountered to date have been ill-posed (i.e., there are insufficient data to inform the many model dimensions needed to adequately characterise uncertainty).
Date Position Institution name 2016 - 2020 Numerical Groundwater Modeller GNS Science 2015 - 2016 Research Associate Flinders University 2010 - 2016 Tutor Flinders University
Date Institution name Country Title 2012 - 2016 Flinders University Australia PhD
Year Citation 2020 White, J. T., Foster, L. K., Fienen, M. N., Knowling, M. J., Hemmings, B., & Winterle, J. R. (2020). Toward Reproducible Environmental Modeling for Decision Support: A Worked Example. Frontiers in Earth Science, 8, 11 pages.
2020 Knowling, M. J., White, J. T., McDonald, G. W., Kim, J. H., Moore, C. R., & Hemmings, B. (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 and Software, 127, 13 pages.
2020 White, J., Knowling, M., Fienen, M., Feinstein, D., McDonald, G., & Moore, C. (2020). A non-intrusive approach for efficient stochastic emulation and optimization of model-based nitrate-loading management decision support. Environmental Modelling and Software, 126, 104657-1-104657-11.
DOI Scopus1 WoS1
2020 White, J. T., Knowling, M. J., & Moore, C. R. (2020). Consequences of Groundwater-Model Vertical Discretization in Risk-Based Decision-Making. Groundwater, 58(5), 695-709.
DOI Scopus2 WoS1
2020 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), 1677-1689.
2020 Partington, D., Knowling, M. J., Simmons, C. T., Cook, P. G., Xie, Y., Iwanaga, T., & Bouchez, C. (2020). Worth of hydraulic and water chemistry observation data in terms of the reliability of surface water-groundwater exchange flux predictions under varied flow conditions. Journal of Hydrology, 590, 125441.
2019 Knowling, M., White, J., & Moore, C. (2019). Role of model parameterization in risk-based decision support: An empirical exploration. Advances in Water Resources, 128, 59-73.
DOI Scopus9 WoS8
2017 Knowling, M., & Werner, A. (2017). Transient recharge estimability through field-scale groundwater model calibration. Groundwater, 55(6), 827-840.
DOI Scopus4 WoS5 Europe PMC1
2016 Knowling, M. J., & Werner, A. D. (2016). Estimability of recharge through groundwater model calibration: insights from a field-scale steady-state example. Journal of Hydrology, 540, 973-987.
DOI Scopus15 WoS15
2015 Knowling, M. J., Werner, A. D., & Herckenrath, D. (2015). Quantifying climate and pumping contributions to aquifer depletion using a highly parameterised groundwater model: Uley South Basin (South Australia). Journal of Hydrology, 523, 515-530.
DOI Scopus19 WoS19
2013 Liggett, J. E., Knowling, M. J., Werner, A. D., & Simmons, C. T. (2013). On the implementation of the surface conductance approach using a block-centred surface-subsurface hydrology model. Journal of Hydrology, 496, 1-8.
DOI Scopus5 WoS5
Connect With Me