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

C

• Candy, B.
  • Flow balancing in a wastewater network by optimising storage in pumping stations
    

    Burt, C., Candy, B., D'Arpa, R., Koh, E.L., Meng, P., Salamone, D., Sondalini, T. and Taylor, P.
    https://doi.org/10.36334/modsim.2019.B6.burt

• Cannarozzo, M.
  • A multi-scenario Decision Support System for real-time operation of over-year multi-reservoir systems 1. Model structure
    

    Arena, C., Cannarozzo, M., Oliva, F. and Mazzola, M.R.
    https://doi.org/10.36334/modsim.2019.K9.arena

  • A multi-scenario Decision Support System for real-time operation of over-year multi-reservoir systems 2. DSS simulation
    

    Arena, C., Cannarozzo, M., Oliva, F. and Mazzola, M.R.
    https://doi.org/10.36334/modsim.2019.K9.arena2

• Cao, T.
  • Bayesian network meta-models from combat simulation for Defence decision analysis
    

    Shahzad, A., Mascaro, S., Cao, T. and Korb, K.B.
    https://doi.org/10.36334/modsim.2019.B8.shahzad

  • Aggregation of dependent criteria in multicriteria decision making problems by means of capacities
    

    Beliakov, G., Bowsell, S., Cao, T., Dazeley, R., Mak-Hau, V., Nguyen, M.-T., Wilkin, T. and Yearwood, J.
    https://doi.org/10.36334/modsim.2019.B3.beliakov

• Capon, S.J.
  • An integrated approach for improved management of an island's scarce water resources under climate change and tourism development
    

    Phan, T.D., Sahin, O., Trinh, H.D., Dao, H.N., Mai, L.S., Pham, T.V., Do, T.P., Vu, T.M. and Capon, S.J.
    https://doi.org/10.36334/modsim.2019.J1.phan

• Capon, T.
  • Area-wide management guidelines for Sterile Insect Technique developed through interdisciplinary modelling research
    

    Parry, H., Capon, T., Clarke, A., Crisp, P., Hulthen, A., Kandulu, J., Kranz, B., Loechel, B., Mankad, A., Measham, P., Merkel, K., Murray, J., Reynolds, O., Schellhorn, N., Schwarzmueller, F., Tam, M., Tapsuwan, S., van Klinken, R., Whitten, S. and Willi
    https://doi.org/10.36334/modsim.2019.G3.parry

• Carter, A.
  • Towards Ecologically Relevant Targets: Impact of flow and sediment discharge on seagrass communities in the Great Barrier Reef
    

    Lambert, V., Adams, M.P., Collier, C., Carter, A., Saunders, M., Brodie, J., Bainbridge, Z., Rasheed, M., Turner, R. and O'Brien, K.R.
    https://doi.org/10.36334/modsim.2019.G1.lambert

• Carter, J.
  • Improving evapotranspiration estimation in pasture and native vegetation models using flux tower data, remote sensing and global optimisation
    

    Owens, J., Carter, J., Fraser, G., Cleverly, J., Hutley, L. and Barnetson, J.
    https://doi.org/10.36334/modsim.2019.C6.owens

• Carter, L.
  • Reflecting on integrated assessment in the Socially Inclusive Agricultural Intensification (SIAGI) project
    

    Merritt, W.S., Hamilton, S.H., Carter, L., Cosijn, M., Lim-Camacho, L. and Roth, C.H.
    https://doi.org/10.36334/modsim.2019.J9.merritt

  • Integrated assessment frameworks for understanding pathways for socially inclusive agricultural intensification
    

    Hamilton, S.H., Merritt, W.S., Lim-Camacho, L., Carter, L., Cosijn, M. and Roth, C.H.
    https://doi.org/10.36334/modsim.2019.J7.hamilton

• Chalup, S.
  • Modelling railway traffic management through multi-agent systems and reinforcement learning
    

    Bretas, A., Mendes, A., Chalup, S., Jackson, M., Clement, R. and Sanhueza, C.
    https://doi.org/10.36334/modsim.2019.B6.bretas

• Chandrababu, A.
  • Relational algebraic approaches to decision making under uncertainty
    

    Chandrababu, A., Aswal, A. and Prasanna, G.N.S.
    https://doi.org/10.36334/modsim.2019.B1.chandrababu

• Chang, C.-L.
  • Modelling latent carbon emission prices: theory and practice
    

    Chang, C.-L. and McAleer, M.
    https://doi.org/10.36334/modsim.2019.E3.mcaleer

  • Pricing carbon emissions for Japan based on energy production
    

    Chang, C.-L., Hamori, S. and McAleer, M.
    https://doi.org/10.36334/modsim.2019.E3.chang2

• Chao, Y.H.
  • Multi-objectives optimisation framework: A comparative study on the relationship between urban block typologies and key environmental performance indicators in Tianjin Eco-City
    

    Raharjo, G.P., Heng, C.K., Zhang, J., Sun, X.F., Chao, Y.H. and Shao, M.Q.
    https://doi.org/10.36334/modsim.2019.F4.raharjo

• Charkhgard, P.
  • The network maintenance problem on an arc with uncapacitated repair
    

    Charkhgard, P., Kalinowski, T. and Waterer, H.
    https://doi.org/10.36334/modsim.2019.B6.charkhgard

• Chase, J.G.
  • Copula modelling of agitation-sedation rating of ICU patients: towards monitoring and alerting tools
    

    Tursunalieva, A., Hudson, I.L. and Chase, J.G.
    https://doi.org/10.36334/modsim.2019.I4.tursunalieva

• Cheema, S.A.
  • Exploring the effects of linguistic and cultural similarities between interviewer and respondents' behavior in large scale surveys
    

    Cheema, S.A., Hudson, I.L., Aslam, Q., Shafqat, M., Kifayat, T. and Hussain, Z.
    https://doi.org/10.36334/modsim.2019.J9.cheema2

  • A new Maxwell paired comparison model: application to a study of the effect of nicotine levels on cigarette brand choices
    

    Cheema, S.A., Hudson, I.L., Kifayat, T., Kalim-u-llah, Shafqat, M. and Hussain, A.
    https://doi.org/10.36334/modsim.2019.I4.cheema

• Chen, F.F.
  • ArcWeld: A case study of the extensibility of software applications built using Workspace architecture
    

    Thomas, D.G., Murphy, A.B., Chen, F.F., Xiang, J. and Feng, Y.
    https://doi.org/10.36334/modsim.2019.D2.thomasDG

• Chen, Y.
  • New understanding of climate change on the Qinghai-Tibetan Plateau and its adapting counter-measures
    

    Shi, P., Ye, T. and Chen, Y.
    https://doi.org/10.36334/modsim.2019.H1.shi

• Cheng, R.
  • Quantifying the contribution of multiple factors to land subsidence using artificial intelligence technology in the typical area of Beijing, China
    

    Cheng, R., Zhu, L., Li, H., Yu, J., Guo, L., Hu, L. and Li, Y.
    https://doi.org/10.36334/modsim.2019.K18.chengR

• Chiew, F.H.S.
  • Projections of water futures for Australia: an update
    

    Zheng, H., Chiew, F.H.S., Potter, N.J. and Kirono, D.G.C.
    https://doi.org/10.36334/modsim.2019.K7.zhengH

• Chung, J.
  • Provenance narratives and visualisation to support understanding and trust
    

    Cunningham, A., Nowina-Krowicki, M., Walsh, J., Chung, J., Wark, S. and Thomas, B.H.
    https://doi.org/10.36334/modsim.2019.D1.cunningham

• Cichota, R.
  • Dynamic simulation of crop rotations to evaluate the impact of different nitrogen management strategies on water quality in Southland, New Zealand
    

    Khaembah, E.N., Cichota, R., Zyskowski, R. and Vogeler, I.
    https://doi.org/10.36334/modsim.2019.C1.khaembah

• Cirulis, B.
  • Quantifying dynamic fire behaviour phenomena using Unmanned Aerial Vehicle technology
    

    Filkov, A., Cirulis, B. and Penman, T.
    https://doi.org/10.36334/modsim.2019.H7.filkov

• Clarke, A.
  • Area-wide management guidelines for Sterile Insect Technique developed through interdisciplinary modelling research
    

    Parry, H., Capon, T., Clarke, A., Crisp, P., Hulthen, A., Kandulu, J., Kranz, B., Loechel, B., Mankad, A., Measham, P., Merkel, K., Murray, J., Reynolds, O., Schellhorn, N., Schwarzmueller, F., Tam, M., Tapsuwan, S., van Klinken, R., Whitten, S. and Willi
    https://doi.org/10.36334/modsim.2019.G3.parry

• Cleary, P.W.
  • Translation of stranded IP to commercialisable software applications using Workspace
    

    Cleary, P.W., Hetherton, L., Thomas, D.G., Bolger, M. and Watkins, D.
    https://doi.org/10.36334/modsim.2019.D2.cleary

  • Workspace – a Scientific Workflow System with commercial impact
    

    Oakes, N., Hetherton, L., Bolger, M., Thomas, D.G., Rucinski, C., Watkins, D. and Cleary, P.W.
    https://doi.org/10.36334/modsim.2019.D2.oakes

  • Workspace for Industry 4.0
    

    Hetherton, L., Bolger, M., Zhang, Z., Oakes, N., Watkins, D. and Cleary, P.W.
    https://doi.org/10.36334/modsim.2019.D2.hetherton

• Clement, R.
  • Modelling railway traffic management through multi-agent systems and reinforcement learning
    

    Bretas, A., Mendes, A., Chalup, S., Jackson, M., Clement, R. and Sanhueza, C.
    https://doi.org/10.36334/modsim.2019.B6.bretas

• Cleverly, J.
  • Improving evapotranspiration estimation in pasture and native vegetation models using flux tower data, remote sensing and global optimisation
    

    Owens, J., Carter, J., Fraser, G., Cleverly, J., Hutley, L. and Barnetson, J.
    https://doi.org/10.36334/modsim.2019.C6.owens

• Cohen, R.C.Z.
  • The Bio-Mechanic Workspace plugin: Enabling biomechanical measurement and simulation across workflows and software applications
    

    Harrison, S.M. and Cohen, R.C.Z.
    https://doi.org/10.36334/modsim.2019.D2.harrison

• Collier, C.
  • Towards Ecologically Relevant Targets: Impact of flow and sediment discharge on seagrass communities in the Great Barrier Reef
    

    Lambert, V., Adams, M.P., Collier, C., Carter, A., Saunders, M., Brodie, J., Bainbridge, Z., Rasheed, M., Turner, R. and O'Brien, K.R.
    https://doi.org/10.36334/modsim.2019.G1.lambert

• Commins, D.
  • Wind-terrain effects on firebrand dynamics
    

    Hilton, J.E., Sharples, J.J., Garg, N., Rudman, M., Swedosh, W. and Commins, D.
    https://doi.org/10.36334/modsim.2019.H7.hilton

• Cook, F.J.
  • Modelling nitrogen transport in sugar cane from soil to runoff from banded surface and buried fertiliser using HYDRUS2D and a post-processing algorithm
    

    Cook, F.J., Eyles, M., Cowie, B., Bosomworth, B. and Silburn, M.
    https://doi.org/10.36334/modsim.2019.K15.cook

• Corcoran, E.
  • Modelling wildlife species abundance using automated detections from drone surveillance
    

    Corcoran, E., Denman, S. and Hamilton, G.
    https://doi.org/10.36334/modsim.2019.G9.corcoran

• Cornil, J.
  • Designing a new single-blade wind turbine using Computational Fluid Dynamics
    

    Wakes, S.J., Cornil, J. and Currie, B.
    https://doi.org/10.36334/modsim.2019.A6.wakes

• Cosijn, M.
  • Reflecting on integrated assessment in the Socially Inclusive Agricultural Intensification (SIAGI) project
    

    Merritt, W.S., Hamilton, S.H., Carter, L., Cosijn, M., Lim-Camacho, L. and Roth, C.H.
    https://doi.org/10.36334/modsim.2019.J9.merritt

  • Integrated assessment frameworks for understanding pathways for socially inclusive agricultural intensification
    

    Hamilton, S.H., Merritt, W.S., Lim-Camacho, L., Carter, L., Cosijn, M. and Roth, C.H.
    https://doi.org/10.36334/modsim.2019.J7.hamilton

• Coutts, A.
  • Baselining the whole-of-force capability and capacity of the Australian Defence Force
    

    Peacock, J., Blumson, D., Mangalasinghe, J., Hepworth, A., Coutts, A. and Lo, E.H.S.
    https://doi.org/10.36334/modsim.2019.B3.peacock

• Cowie, B.
  • Modelling nitrogen transport in sugar cane from soil to runoff from banded surface and buried fertiliser using HYDRUS2D and a post-processing algorithm
    

    Cook, F.J., Eyles, M., Cowie, B., Bosomworth, B. and Silburn, M.
    https://doi.org/10.36334/modsim.2019.K15.cook

• Crase, S.
  • Identifying intelligence links in threat networks through machine learning on explosives chemical data
    

    Crase, S., Hall, B. and Thennadil, S.
    https://doi.org/10.36334/modsim.2019.B4.crase

• Crimp, S.
  • Daily rainfall data infilling with a stochastic model
    

    Jin, H., Shao, Q. and Crimp, S.
    https://doi.org/10.36334/modsim.2019.H3.jin

• Crisp, P.
  • Area-wide management guidelines for Sterile Insect Technique developed through interdisciplinary modelling research
    

    Parry, H., Capon, T., Clarke, A., Crisp, P., Hulthen, A., Kandulu, J., Kranz, B., Loechel, B., Mankad, A., Measham, P., Merkel, K., Murray, J., Reynolds, O., Schellhorn, N., Schwarzmueller, F., Tam, M., Tapsuwan, S., van Klinken, R., Whitten, S. and Willi
    https://doi.org/10.36334/modsim.2019.G3.parry

• Croke, B.
  • What do we need from catchment water quality models in Australia?
    

    Fu, B., Merritt, W.S., Cuddy, S.M., Jakeman, A.J., Croke, B., Weber, T., Hall, J., Waters, D.K. and Baker, D.
    https://doi.org/10.36334/modsim.2019.K15.fuB

• Cuddy, S.M.
  • What do we need from catchment water quality models in Australia?
    

    Fu, B., Merritt, W.S., Cuddy, S.M., Jakeman, A.J., Croke, B., Weber, T., Hall, J., Waters, D.K. and Baker, D.
    https://doi.org/10.36334/modsim.2019.K15.fuB

  • A collaborative review process supports better outcomes from environmental modelling
    

    Robson, B.J., Cuddy, S.M., Glamore, W., Rogers, Z., Ferguson, A.J.P. and Scanes, P.
    https://doi.org/10.36334/modsim.2019.K1.robson

• Cunningham, A.
  • Provenance narratives and visualisation to support understanding and trust
    

    Cunningham, A., Nowina-Krowicki, M., Walsh, J., Chung, J., Wark, S. and Thomas, B.H.
    https://doi.org/10.36334/modsim.2019.D1.cunningham

  • Narrative visualisation of simulations: Finding the stories within the data
    

    Walsh, J., Cunningham, A., Wark, S., Nowina-Krowicki, M. and Thomas, B.H.
    https://doi.org/10.36334/modsim.2019.B3.walsh

• Currie, B.
  • Designing a new single-blade wind turbine using Computational Fluid Dynamics
    

    Wakes, S.J., Cornil, J. and Currie, B.
    https://doi.org/10.36334/modsim.2019.A6.wakes

̩

D

• Dao, H.N.
  • An integrated approach for improved management of an island's scarce water resources under climate change and tourism development
    

    Phan, T.D., Sahin, O., Trinh, H.D., Dao, H.N., Mai, L.S., Pham, T.V., Do, T.P., Vu, T.M. and Capon, S.J.
    https://doi.org/10.36334/modsim.2019.J1.phan

• D'Arpa, R.
  • Flow balancing in a wastewater network by optimising storage in pumping stations
    

    Burt, C., Candy, B., D'Arpa, R., Koh, E.L., Meng, P., Salamone, D., Sondalini, T. and Taylor, P.
    https://doi.org/10.36334/modsim.2019.B6.burt

• Davidson, A.J.
  • Minimal requirement provenance capturing workflow systems for hydrological modelling
    

    Smith, T.C. and Davidson, A.J.
    https://doi.org/10.36334/modsim.2019.D1.smith

• Dazeley, R.
  • Aggregation of dependent criteria in multicriteria decision making problems by means of capacities
    

    Beliakov, G., Bowsell, S., Cao, T., Dazeley, R., Mak-Hau, V., Nguyen, M.-T., Wilkin, T. and Yearwood, J.
    https://doi.org/10.36334/modsim.2019.B3.beliakov

• de Hoog, F.R.
  • Deconvolution for oscillatory shear rheometry using the Landweber iteration
    

    Anderssen, R.S., de Hoog, F.R. and Loy, R.J.
    https://doi.org/10.36334/modsim.2019.A3.anderssen

• de Oliveira, G.
  • Water and energy-based optimisation of a “MiniCity”: A system dynamics approach
    

    Suprun, E., de Oliveira, G., Bertone, E., Sahin, O., Ottmann, D. and Baumeister, J.
    https://doi.org/10.36334/modsim.2019.J2.suprun

• Dekker, A.H.
  • Skin groups and Onan: computer simulation as an aid to understanding anthropological phenomena
    

    Dekker, A.H.
    https://doi.org/10.36334/modsim.2019.J1.dekker

• Deletic, A.
  • Future Water: Comparing and contrasting approaches to predicting water quality
    

    Guo, D., Lintern, A., Prodanovic, V., Kuller, M., Bach, P.M., Deletic, A., Shi, B., McCarthy, D., Ryu, D., Webb, J.A., Liu, S. and Western, A.W.
    https://doi.org/10.36334/modsim.2019.K15.guo

• Démare, T.
  • Modelling a multi-modal logistic network with agents and dynamic graphs
    

    Démare, T., Balev, S., Bertelle, C., Dutot, A., Fournier, D. and Sanlaville, E.
    https://doi.org/10.36334/modsim.2019.B8.demare

• Denman, S.
  • Modelling wildlife species abundance using automated detections from drone surveillance
    

    Corcoran, E., Denman, S. and Hamilton, G.
    https://doi.org/10.36334/modsim.2019.G9.corcoran

• Do, T.P.
  • An integrated approach for improved management of an island's scarce water resources under climate change and tourism development
    

    Phan, T.D., Sahin, O., Trinh, H.D., Dao, H.N., Mai, L.S., Pham, T.V., Do, T.P., Vu, T.M. and Capon, S.J.
    https://doi.org/10.36334/modsim.2019.J1.phan

• Donnelly, C.
  • Assimilating satellite soil moisture retrievals to improve operational water balance modelling
    

    Tian, S., Renzullo, L.J., Pipunic, R., Sharples, W., Lerat, J. and Donnelly, C.
    https://doi.org/10.36334/modsim.2019.H6.tian

• Draper, G.
  • “Stopping before you start”: Reducing and preventing initiation of tobacco use in the ACT
    

    Freebairn, L., Kreuger, K., Watson, C., Yang, O., Prodan, A., Graham, K.I., Draper, G., McDonnell, G., Nixon, E. and Atkinson, J-A.
    https://doi.org/10.36334/modsim.2019.I2.freebairn

• Dutot, A.
  • Modelling a multi-modal logistic network with agents and dynamic graphs
    

    Démare, T., Balev, S., Bertelle, C., Dutot, A., Fournier, D. and Sanlaville, E.
    https://doi.org/10.36334/modsim.2019.B8.demare

• Dzator, J.
  • Using the DEMATEL method to identify key reasons for mathematics support
    

    Dzator, M. and Dzator, J.
    https://doi.org/10.36334/modsim.2019.A5.dzator

  • Optimization models to locate health care facilities
    

    Dzator, M. and Dzator, J.
    https://doi.org/10.36334/modsim.2019.A5.dzator2

• Dzator, M.
  • Using the DEMATEL method to identify key reasons for mathematics support
    

    Dzator, M. and Dzator, J.
    https://doi.org/10.36334/modsim.2019.A5.dzator

  • Optimization models to locate health care facilities
    

    Dzator, M. and Dzator, J.
    https://doi.org/10.36334/modsim.2019.A5.dzator2