Author Index

* Please note this includes full papers only

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

N

• Naylor, S.
  • Trade strategies to mitigate the global impact of regional wheat production shocks
    

    Golding, P., Kapadia, S., Naylor, S., Schulz, J., Maier, H.R., Lall, U. and van der Velde, M.
    https://doi.org/10.36334/modsim.2021.B5.golding

• Nelson, B.
  • Disentangling the effects of management and climate on perennial grass pastures and the degradation that follows multi-year droughts
    

    Owens, J., McKeon, G., O’Reagain, P., Carter, J., Fraser, G., Nelson, B. and Scanlan, J.
    https://doi.org/10.36334/modsim.2021.B1.owens

• Nelson, M.
  • Modelling of a five reactor Activated Sludge cascade process using ASM #1
    

    Watt, S., Nelson, M., Hai, F. and Sidhu, H.
    https://doi.org/10.36334/modsim.2021.L2.watt

• Neupane, R.
  • Source: a water resource modelling system for supply augmentation planning
    

    Raut, A.K., Neupane, R., Kibria, G. and Maheswaran, M.S.
    https://doi.org/10.36334/modsim.2021.J3.raut

• Newman, J.
  • Water security analysis of the Middle River supply system: a foreSIGHT application
    

    Culley, S., Westra, S., Bennett, B., Maier, H.R., Newman, J., Van Der Linden, L. and Irvine, M.
    https://doi.org/10.36334/modsim.2021.J5.culley

• Newman, J.D.
  • Does memory help optimise fruit fly foraging at the landscape level?
    

    Newman, J.D., Clarke, A.R., Silva, R. and Parry, H.
    https://doi.org/10.36334/modsim.2021.B7.newman

• Nguyen, D.
  • Implementing a fully homomorphic encrypted circuit in Workspace
    

    Nguyen, D. and Watkins, D.
    https://doi.org/10.36334/modsim.2021.C2.nguyen

• Nguyen, M.-T.
  • An evaluation model and tool for Defence capability options
    

    Nguyen, M.-T., Coutts, A., Knoll, J., Zuparic, M., Peacock, J., Bilusich, D., Galister, M. and Johns, K.
    https://doi.org/10.36334/modsim.2021.M8.nguyen

• Nguyen, V.
  • Simulation and data analytics for a Defence workforce transition
    

    Mortimer, K., Nguyen, V., Caelli, T. and Hill, B.
    https://doi.org/10.36334/modsim.2021.A3.mortimer

• Nowina-Krowicki, M.
  • Evaluating instruction quality across narrative modality using measures of real-time cognitive load
    

    Smith, S.P., Blackmore, K., Wark, S. and Nowina-Krowicki, M.
    https://doi.org/10.36334/modsim.2021.M2.smith

O

• O’Reagain, P.
  • Disentangling the effects of management and climate on perennial grass pastures and the degradation that follows multi-year droughts
    

    Owens, J., McKeon, G., O’Reagain, P., Carter, J., Fraser, G., Nelson, B. and Scanlan, J.
    https://doi.org/10.36334/modsim.2021.B1.owens

• Oakes, N.
  • Workspace Workflow Comparison
    

    Oakes, N. and Thomas, D.
    https://doi.org/10.36334/modsim.2021.C2.oakes

• Oakley, R.
  • The use of modelling in design of wastewater subsurface drip irrigation
    

    Cook, F.J., Gearing, P., Bennett, S. and Oakley, R.
    https://doi.org/10.36334/modsim.2021.L2.cook

• O'Callaghan, M.
  • Modelling future changes in social vulnerability and bushfire risk
    

    Moore, E., Zhar, Y., Radford, P., O'Callaghan, M., Maier, H.R., Riddell, G., van Delden, H. and Wouters, M.
    https://doi.org/10.36334/modsim.2021.G1.moore

• Occhipinti, J.
  • Prototyping, developing, and iterating a gamified survey to evaluate participatory systems modelling for youth mental health: Quality assurance pilot
    

    Lee, G.Y., Hickie, I.B., Occhipinti, J., Song, Y.J.C., Huntley, S., Skinner, A., Lawson, K., Hockey, S.J. and Freebairn, L.
    https://doi.org/10.36334/modsim.2021.H2.lee

• Olaru, D.
  • A discrete event simulation for modelling Aljamarat Bridge rituals and evacuation scenarios
    

    Owaidah, A.A., Olaru, D., Bennamoun, M., Sohel, F. and Khan, R.N.
    https://doi.org/10.36334/modsim.2021.I8.owaidah

• Önal, F.
  • Impacts of localizing food system on farmers’ livelihood resilience
    

    Loo, P.S., Önal, F., Bax, K., Smairy, M. and Surovets, V.
    https://doi.org/10.36334/modsim.2021.B5.loo

• Owaidah, A.A.
  • A discrete event simulation for modelling Aljamarat Bridge rituals and evacuation scenarios
    

    Owaidah, A.A., Olaru, D., Bennamoun, M., Sohel, F. and Khan, R.N.
    https://doi.org/10.36334/modsim.2021.I8.owaidah

• Owens, J.
  • Disentangling the effects of management and climate on perennial grass pastures and the degradation that follows multi-year droughts
    

    Owens, J., McKeon, G., O’Reagain, P., Carter, J., Fraser, G., Nelson, B. and Scanlan, J.
    https://doi.org/10.36334/modsim.2021.B1.owens

P

• Pagendam, D.
  • Opportunistic emulation of computationally expensive simulations via Deep Learning
    

    Sanderson, C., Pagendam, D., Power, B., Bennett, F.R. and Darnell, R.
    https://doi.org/10.36334/modsim.2021.L1.sanderson

• Parry, H.
  • Does memory help optimise fruit fly foraging at the landscape level?
    

    Newman, J.D., Clarke, A.R., Silva, R. and Parry, H.
    https://doi.org/10.36334/modsim.2021.B7.newman

• Partington, D.
  • Modelling hydrological change due to wildfires
    

    Partington, D., Thyer, M., Shanafield, M., McInerney, D., Westra, S., Maier, H.R., Simmons, C.T., Croke, B.F.W., Jakeman, A.J., Gupta, H.V. and Kavetski, D.
    https://doi.org/10.36334/modsim.2021.J8.partington

• Patch, B.
  • Simulating population-size-dependent birth-and-death processes using CUDA and piecewise approximations
    

    Hautphenne, S. and Patch, B.
    https://doi.org/10.36334/modsim.2021.A1.hautphenne

• Pay, A.
  • Analytic approaches to understanding future Defence workforce needs
    

    Rowe, C., Crockett, A., Rohan-Jones, S., Aljoorfri, S., Tay, N., Coutts, A., Bishop, C., Pay, A., Sim, W., Date, V. and Boyce, J.
    https://doi.org/10.36334/modsim.2021.M8.rowe

• Peacock, J.
  • An evaluation model and tool for Defence capability options
    

    Nguyen, M.-T., Coutts, A., Knoll, J., Zuparic, M., Peacock, J., Bilusich, D., Galister, M. and Johns, K.
    https://doi.org/10.36334/modsim.2021.M8.nguyen

  • Command Professional Edition: Initial insights of a commercial military operational modelling and simulation tool
    

    Hagley, S., Lo, E.H.S., Hoek, P.J., Donohoo, A. and Peacock, J.
    https://doi.org/10.36334/modsim.2021.M7.hagley

• Peel, M.C.
  • Mapping additional streamflow decline due to shifts in catchment response during the Millennium Drought
    

    Saft, M., Peel, M.C., Jordan, P., Shepherd, D., Steendam, G., Lett, R. and Peterson, T.
    https://doi.org/10.36334/modsim.2021.K11.saft

  • Observation based gridded annual runoff estimates over Victoria, Australia
    

    Weligamage, H.A.C.G., Fowler, K.J.A., Peterson, T.J., Saft, M. and Peel, M.C.
    https://doi.org/10.36334/modsim.2021.K11.weligamage

  • “Naïve” inclusion of diverse climates in calibration is not sufficient to improve model reliability under future climate uncertainty
    

    Trotter, L., Saft, M., Peel, M.C. and Fowler, K.J.A.
    https://doi.org/10.36334/modsim.2021.J8.trotter

• Pembleton, K.G.
  • Preliminary results of parameterisation of DairyMod pasture model for tropical pasture; Brachiaria
    

    Jayasinghe, J.M.P., Donaghy, D.J., Pembleton, K.G., Barber, D.G. and Ramilan, T.
    https://doi.org/10.36334/modsim.2021.B1.jayasinghe

• Penfold, J.
  • Reconstructing Lanchester Warfare Models through a Lagrangian Mechanics Lens
    

    Gill, J., Gill, A. and Penfold, J.
    https://doi.org/10.36334/modsim.2021.M7.gill

• Pepler, A.
  • Extreme bushfire projections using a standardised method
    

    Dowdy, A.J., Thatcher, M., Rafter, T., Evans, J., Ye, H., Su, C.-H., Stassen, C., Pepler, A., Bell, S.S. and Steinle, P.
    https://doi.org/10.36334/modsim.2021.G3.dowdy

• Perez, P.
  • The dial-a-ride problem in the case of a patient transportation system in Brazil
    

    Bernardo, M., Souza, A.L., Amirghasemi, M., Barthelemy, J. and Perez, P.
    https://doi.org/10.36334/modsim.2021.M1.bernardo

• Perez-Franco, R.
  • Assessing last mile delivery strategies – A hybrid solution approach
    

    Muriel, J.E., Zhang, L., Fransoo, J.C. and Perez-Franco, R.
    https://doi.org/10.36334/modsim.2021.M1.muriel

  • The Standard Refuelling Facility Expansion Problem: A case study in Australia
    

    Calle, J., Perez-Franco, R., Mak-Hau, V., Abril, D. and Rojas, D.
    https://doi.org/10.36334/modsim.2021.M1.calle

• Peterson, T.J.
  • Mapping additional streamflow decline due to shifts in catchment response during the Millennium Drought
    

    Saft, M., Peel, M.C., Jordan, P., Shepherd, D., Steendam, G., Lett, R. and Peterson, T.J.
    https://doi.org/10.36334/modsim.2021.K11.saft

  • Observation based gridded annual runoff estimates over Victoria, Australia
    

    Weligamage, H.A.C.G., Fowler, K.J.A., Peterson, T.J., Saft, M. and Peel, M.C.
    https://doi.org/10.36334/modsim.2021.K11.weligamage

• Pike, C.
  • Measures to analyse sustainability in military workforce structures
    

    Pike, C. and Moran, B.
    https://doi.org/10.36334/modsim.2021.M9.pike

• Pineda-Villavicencio, G.
  • Hydrogen bus route planning in regional Victoria
    

    Esmaeilbeigi, R., Mak-Hau, V., Pineda-Villavicencio, G. and Ugon, J.
    https://doi.org/10.36334/modsim.2021.M1.esmaeilbeigi

• Pipunic, R.
  • Estimation of road closure risks along the Bruce highway using the AWRA-L water balance model
    

    Vogel, E., Lerat, J., Gericke, L.A., Russell, C.A., Preece, A., Stuart, G., Pipunic, R., Khan, Z. and Donnelly, C.
    https://doi.org/10.36334/modsim.2021.K5.vogel

• Plucinski, M.
  • A water suppression model for wildfires
    

    Hilton, J.E., Sullivan, A., Plucinski, M. and Swedosh, W.
    https://doi.org/10.36334/modsim.2021.G3.hilton

• Pollett, A.
  • Use of high-resolution DEM for improving stream slope estimates and its effect on modelled fine sediment loads
    

    Pollett, A. and Fentie, B.
    https://doi.org/10.36334/modsim.2021.L4.pollett

• Pont, J.
  • Lessons learned using dSedNet plug-in within a water supply catchment for Greater Sydney
    

    Amini, S., Pont, J., van der Sterren, M. and Freebairn, A.
    https://doi.org/10.36334/modsim.2021.F7.amini

• Power, B.
  • Opportunistic emulation of computationally expensive simulations via Deep Learning
    

    Sanderson, C., Pagendam, D., Power, B., Bennett, F.R. and Darnell, R.
    https://doi.org/10.36334/modsim.2021.L1.sanderson

  • Modelling to determine key drivers of water quality off sugarcane paddocks in the Great Barrier Reef catchment
    

    Power, B., Shaw, M., Vilas, M.P., Farr, M. and Thompson, M.
    https://doi.org/10.36334/modsim.2021.L1.power

• Prakash, M.
  • INDRA – Climate Resilience Platform for the City of Makassar
    

    Weeraratne, V.C.N., Prakash, M., Cohen, R.C.Z. and Garg, N.
    https://doi.org/10.36334/modsim.2021.G1.weeraratne

  • A comparative study on 10 and 30-year simulation of CMIP5 decadal hindcast precipitation at catchment level
    

    Hossain, M.M., Garg, N., Anwar, A.H.M.F., Prakash, M. and Bari, M.
    https://doi.org/10.36334/modsim.2021.K5.hossain

  • Coastal inundation modelling and adaptation assessment for the Bellarine Peninsula
    

    Weeraratne, V.C.N., Cohen, R.C.Z., Roob, R. and Prakash, M.
    https://doi.org/10.36334/modsim.2021.G1.weeraratne2

• Preece, A.
  • Estimation of road closure risks along the Bruce highway using the AWRA-L water balance model
    

    Vogel, E., Lerat, J., Gericke, L.A., Russell, C.A., Preece, A., Stuart, G., Pipunic, R., Khan, Z. and Donnelly, C.
    https://doi.org/10.36334/modsim.2021.K5.vogel

• Preiss, L.
  • An assessment framework for classifying determinants of household water consumption and their priorities for research and practice
    

    Cominola, A., Preiss, L., Thyer, M., Maier, H.R., Stewart, R. and Castelletti, A.
    https://doi.org/10.36334/modsim.2021.J3.cominola

• Prentice, M.J.
  • Assessing performance of the MERGE model for simulating gully interventions
    

    Prentice, M.J., Waud, M.W., Hamilton, D.P. and Roberts, M.E.
    https://doi.org/10.36334/modsim.2021.L4.prentice

• Prestwidge, D.B.
  • Changing crop management improves farm level productivity and profitability for smallholder farmers in northern India
    

    Beletse, Y.G., Laing, A.M., Prestwidge, D.B., Gathala, M.K., Subash, N. and Liedloff, A.C.
    https://doi.org/10.36334/modsim.2021.B8.beletse

• Price, B.
  • How thunderstorms appear in weather forecasts
    

    Price, B. and Foley, M.
    https://doi.org/10.36334/modsim.2021.I2.price

• Pudney, P.
  • A strategy for using cooperating missiles for missile defence
    

    Kapsis, M., Pudney, P., Aarao, J., Miller, W. and Freebairn, G.
    https://doi.org/10.36334/modsim.2021.M7.kapsis

Q

• Quijano, J.
  • Assessing waterbird breeding conditions using an emulator of wetland inundation regime
    

    Quijano, J., Rodriguez, J., Kuczera, G., Saco, P.M., Sandi, S.G., Carlier, R., Wen, L. and McDonough, K.
    https://doi.org/10.36334/modsim.2021.J1.quijano

R

• Radford, P.
  • Modelling future changes in social vulnerability and bushfire risk
    

    Moore, E., Zhar, Y., Radford, P., O'Callaghan, M., Maier, H.R., Riddell, G., van Delden, H. and Wouters, M.
    https://doi.org/10.36334/modsim.2021.G1.moore

• Rafter, T.
  • Extreme bushfire projections using a standardised method
    

    Dowdy, A.J., Thatcher, M., Rafter, T., Evans, J., Ye, H., Su, C.-H., Stassen, C., Pepler, A., Bell, S.S. and Steinle, P.
    https://doi.org/10.36334/modsim.2021.G3.dowdy

• Rahman, A.R.
  • Use of auxiliary information in estimation of the finite population mean: An exponential type of estimator
    

    Ullah, K., Hudson, I.L., Cheema, S.A., Khan, A., Rahman, A.R. and Hussian, Z.
    https://doi.org/10.36334/modsim.2021.A1.ullah

• Ramilan, T.
  • Economically optimum N fertiliser decisions for rice cultivation in Sri Lanka: Does soil type matter?
    

    Kanthilanka, H., Farquharson, R.J., Ramilan, T. and Weerahewa, J.
    https://doi.org/10.36334/modsim.2021.B5.kanthilanka

  • Preliminary results of parameterisation of DairyMod pasture model for tropical pasture; Brachiaria
    

    Jayasinghe, J.M.P., Donaghy, D.J., Pembleton, K.G., Barber, D.G. and Ramilan, T.
    https://doi.org/10.36334/modsim.2021.B1.jayasinghe

• Ramsay, H.A.
  • Tropical cyclone-induced extreme winds in climate datasets: East coast of Australia
    

    Bell, S.S., Chand, S.S., Dowdy, A.J., Ramsay, H.A., Deo, A., Su, C.-H., Brown, A. and Ye, H.
    https://doi.org/10.36334/modsim.2021.G4.bell

• Raut, A.K.
  • Source: a water resource modelling system for supply augmentation planning
    

    Raut, A.K., Neupane, R., Kibria, G. and Maheswaran, M.S.
    https://doi.org/10.36334/modsim.2021.J3.raut

• Ravi, S.
  • CFD solver validations for simulating passively pitching tandem wings in hovering flight
    

    Huang, Q., Mazharmanesh, S., Tian, F.-B., Young, J., Lai, J.C.S. and Ravi, S.
    https://doi.org/10.36334/modsim.2021.A2.huang

• Razavi, S.
  • Uncertainty, sensitivity and scenario analysis: how do they fit together?
    

    Maier, H.R., Guillaume, J.H.A., McPhail, C., Westra, S., Kwakkel, J.H., Razavi, S., van Delden, H., Thyer, M.A., Culley, S.A. and Jakeman, A.J.
    https://doi.org/10.36334/modsim.2021.J5.maier

• Reade, A.
  • Optimal location of launchers in a missile defence system
    

    Azzollini, N., Babu, B., Reade, A. and Rodda, J.
    https://doi.org/10.36334/modsim.2021.M7.azzollini

• Renouf, M.A.
  • The local influence of residential infill on the urban water flows: a multi-city analysis
    

    Moravej, M., Kenway, S., Renouf, M.A., Urich, C., Sainsbury, O., Bertram, N. and London, G.
    https://doi.org/10.36334/modsim.2021.J4.moravej

  • An inclusive city water account by integrating multiple data sources for South-East Queensland (SEQ), Australia
    

    Islam, K.M.N., Kenway, S.J., Renouf, M.A. and Wiedmann, T.
    https://doi.org/10.36334/modsim.2021.J7.islam

• Renzullo, L.J.
  • Continental scale downscaling of AWRA-L analysed soil moisture using random forest regression
    

    Yu, Y., Renzullo, L.J. and Tian, S.
    https://doi.org/10.36334/modsim.2021.J10.yu

• Rezende, B.N.
  • Evaluation of the time of concentration estimation methods for small rural watersheds
    

    Rezende, B.N., Boulomytis, V.T.G., Duarte, S.N., Jacomazzi, M.A. and Zuffo, A.C.
    https://doi.org/10.36334/modsim.2021.J7.rezende

• Richards, R.G.
  • The Lobster Game: Experiential learning of system dynamics through serious gaming
    

    Richards, R.G. and Jagdish, N.
    https://doi.org/10.36334/modsim.2021.I8.richards

• Richmond, M.K.
  • Operational effectiveness of future land combat teams: model conceptualisation
    

    Richmond, M.K., Gary, M.S., Cao, T., Blumson, D., Kosowski, L., Hock, K., Elsawah, S. and Kempt, N.
    https://doi.org/10.36334/modsim.2021.M4.richmond

  • System dynamics applications for defence combat modelling: preliminary insights from a literature exploration
    

    Cunico, G., Elsawah, S., Gary, M.S., Cao, T., Kosowski, L. and Richmond, M.K.
    https://doi.org/10.36334/modsim.2021.M4.cunico

• Riddell, G.
  • Modelling future changes in social vulnerability and bushfire risk
    

    Moore, E., Zhar, Y., Radford, P., O'Callaghan, M., Maier, H.R., Riddell, G., van Delden, H. and Wouters, M.
    https://doi.org/10.36334/modsim.2021.G1.moore

• Roberts, M.E.
  • Assessing performance of the MERGE model for simulating gully interventions
    

    Prentice, M.J., Waud, M.W., Hamilton, D.P. and Roberts, M.E.
    https://doi.org/10.36334/modsim.2021.L4.prentice

  • A sensitivity analysis of a water quality model for a constructed wetland
    

    Roberts, M.E., Lu, J., Kavehei, E. and Adame, M.F.
    https://doi.org/10.36334/modsim.2021.L2.roberts

• Robson, S.A.
  • Random forest classification: A case study of dryland crop cover mapping in the Victorian Mallee using Sentinel-2A, Sentinel-3, and MODIS imagery
    

    Sabaghy, S., Sheffield, K.J. and Robson, S.A.
    https://doi.org/10.36334/modsim.2021.B3.sabaghy

• Rodda, J.
  • Optimal location of launchers in a missile defence system
    

    Azzollini, N., Babu, B., Reade, A. and Rodda, J.
    https://doi.org/10.36334/modsim.2021.M7.azzollini

• Rodriguez, J.
  • Assessing waterbird breeding conditions using an emulator of wetland inundation regime
    

    Quijano, J., Rodriguez, J., Kuczera, G., Saco, P.M., Sandi, S.G., Carlier, R., Wen, L. and McDonough, K.
    https://doi.org/10.36334/modsim.2021.J1.quijano

• Rohan-Jones, S.
  • Analytic approaches to understanding future Defence workforce needs
    

    Rowe, C., Crockett, A., Rohan-Jones, S., Aljoorfri, S., Tay, N., Coutts, A., Bishop, C., Pay, A., Sim, W., Date, V. and Boyce, J.
    https://doi.org/10.36334/modsim.2021.M8.rowe

• Rojas, D.
  • The Standard Refuelling Facility Expansion Problem: A case study in Australia
    

    Calle, J., Perez-Franco, R., Mak-Hau, V., Abril, D. and Rojas, D.
    https://doi.org/10.36334/modsim.2021.M1.calle

• Rollan, T.A.
  • Developing an Adaptive Evacuation Simulation Framework based on Agent Performance Dynamics
    

    Rollan, T.A., Marquez, L. and Chua, C.
    https://doi.org/10.36334/modsim.2021.G1.rollan

• Roob, R.
  • Coastal inundation modelling and adaptation assessment for the Bellarine Peninsula
    

    Weeraratne, V.C.N., Cohen, R.C.Z., Roob, R. and Prakash, M.
    https://doi.org/10.36334/modsim.2021.G1.weeraratne2

• Rowe, C.
  • Analytic approaches to understanding future Defence workforce needs
    

    Rowe, C., Crockett, A., Rohan-Jones, S., Aljoorfri, S., Tay, N., Coutts, A., Bishop, C., Pay, A., Sim, W., Date, V. and Boyce, J.
    https://doi.org/10.36334/modsim.2021.M8.rowe

  • Consideration of enabling and enterprise functions within Defence force design
    

    Boyce, J., Tay, N. and Rowe, C.
    https://doi.org/10.36334/modsim.2021.M8.boyce

• Russell, C.A.
  • Estimation of road closure risks along the Bruce highway using the AWRA-L water balance model
    

    Vogel, E., Lerat, J., Gericke, L.A., Russell, C.A., Preece, A., Stuart, G., Pipunic, R., Khan, Z. and Donnelly, C.
    https://doi.org/10.36334/modsim.2021.K5.vogel

• Rybicki, T.
  • The Open Maritime Traffic Analysis Dataset
    

    Masek, M., Lam, C.P., Rybicki, T., Snell, J., Wheat, D., Kelly, L., Glassborow, D. and Smith-Gander, C.
    https://doi.org/10.36334/modsim.2021.M9.masek

• Ryu, D.
  • An automatic system to estimate crop phenological dates with remote sensing: A case study in the southeast Australia
    

    Gao, Z., Guo, D., Ryu, D. and Western, A.W.
    https://doi.org/10.36334/modsim.2021.K6.gao