Dr Duc-Anh An-Vo

Fields of Research (FoR)

• Agriculture, Land and Farm Management not elsewhere classified ( 070199 )
  

• Distributed Computing not elsewhere classified ( 080599 )
  

• Aerospace Engineering not elsewhere classified ( 090199 )
  

• Numerical and Computational Mathematics not elsewhere classified ( 010399 )
  

Research interests
Multiscale computational methods
Multiphase flows
Climate models & modelling
Agricultural economics and food security

Research most recent
2019

Value of seasonal forecasting for sugarcane farm irrigation planning, European Journal of Agronomy, 2019 (accepted 11 Jan 2019, with S. Mushtaq, K. Reardon-Smith, L. Kouadio, S. Attard, D. Cobon, R. Stone).

A system-thinking approach to water trade: Finding leverage for sustainable development, Land Use Policy, 82: 595-608, 2019 (with T. Mai, S. Mushtaq, A. Loch, K. Reardon-Smith).

2018

Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region, Grains Research & Development Corporation (GRDC) technical report, November, 2018 (with Afshin Ghahramani, John Rochecouste, Shahbaz Mushtaq, Stirling Roberton, John McLean Bennett, Geoff Cockfield).

The potential value of seasonal climate forecasts for beef grazing enterprises in the Charters Towers region, Dalrymple Landcare Committee newsletter, July, 2018 (Invited paper, with K. Reardon-Smith, S. Mushtaq, D. Cobon).

Modelling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach, European Journal of Agronomy, 98: 65 – 81, 2018 (With T. Nguyen-Huy, R. Deo, S. Mushtaq, S. Khan).

Direct and indirect costs of frost in the Australian wheatbelt, Ecological Economics, 150: 122 - 136, 2018 (With S. Mushtaq, B. Zheng, J. T. Christopher, S. C. Chapman, K. Chenu).

2017

Predicting water trade prices using a hydrid artificial neural network-Bayesian modelling approach, Journal of Hydrology, 2017 (In Press, with T. Nguyen-Ky, S. Mushtaq, A. Loch, K. Reardon-Smith, D. Ngo-Cong, T. Tran-Cong).

Toward a stochastic precipitation generator conditioned on ENSO phase for eastern Australia. In the Proceeding of the 22nd International Congress on Modelling and Simulation (MODSIM2017), 03 – 08/Dec/2017, Hobart, Tasmania, Australia (with R. Stone, D. Ngo-Cong, T. Marcussen).

Modelling irrigated sugarcane crop under seasonal climate variability: A case study in Burdekin district. In the Proceeding of the 22nd International Congress on Modelling and Simulation (MODSIM2017), 03 – 08/Dec/2017, Hobart, Tasmania, Australia (with S. Mushtaq, K. Reardon-Smith)

Investigating the value of seasonal climate forecast for beef grazing enterprises: Charters Towers case study. In the Proceeding of the 19th Australian Rangeland Society Biennial Conference, 25 – 28/Sep/2017, Port Augusta, South Australia, Australia (with K. Reardon-Smith, S. Mushtaq, D. Cobon, S. Kodur, R. Stone).

Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance. Field Crops Research, 213: 75-88, 2017 (with S. Mushtaq, M. Christopher, B. Zheng, K. Chenu, S. Chapman, J. T. Christopher, R. C. Stone, T. M. Frederiks and G. M. M. Alam).

Copula-statistical precipitation forecasting model in Australia’s Agro-ecological Zones. Agricultural Water Management, 191: 153-172, 2017 (with T. Nguyen-Huy, R. C. Deo, S. Mushtaq and S. Khan).

A generalised finite difference scheme based on compact integrated radial basis function for flow in heterogeneous soils. International Journal for Numerical Methods in Fluids, DOI: 10.1002/fld.4386, 2017 (with D. Ngo-Cong, C.M.T. Tien, T. Nguyen-Ky, N. Mai-Duy, D.-V. Strunin and T. Tran-Cong).

Responses of nitrogen utilization and apparent nitrogen loss to different control measures in the wheat and maize rotation system. Frontiers in Plant Science, 8, Article 160, 2017 (with Z. Peng, Y. Liu, Y. Li, Y. Abawi, Y. Wang and M. Men).

Research most notable
D.-A. An-Vo, N. Mai-Duy, T. Tran-Cong (2011), 'A C^2-continuous control-volume technique based on cartesian grids and two-node integrated-RBF elements for second-order elliptic problems', CMES: Computer Modeling in Engineering and Sciences 72 (4), 299-334.

D.-A. An-Vo, N. Mai-Duy, T. Tran-Cong (2011), 'High-order upwind methods based on C^2-continuous two-node integrated-RBF elements for viscous flows', CMES: Computer Modeling in Engineering and Sciences 80 (2), 141-177.

Publications in ePrints

Mai, Thanh and Mushtaq, Shahbaz and Loch, Adam and Reardon-Smith, K. and An-Vo, Duc-Anh (2019) A systems thinking approach to water trade: finding leverage for sustainable development. Land Use Policy, 82. pp. 595-608. ISSN 0264-8377

An-Vo, Duc-Anh and Reardon-Smith, Kate and Mushtaq, Shahbaz and Cobon, David and Kodur, Shreevatsa and Stone, Roger (2019) Value of seasonal climate forecasts in reducing economic losses for grazing enterprises: Charters Towers case study. The Rangeland Journal, 41. ISSN 1036-9872

An-Vo, Duc-Anh and Mushtaq, Shahbaz and Reardon-Smith, Kathryn and Kouadio, Louis and Attard, Steve and Cobon, David and Stone, Roger (2019) Value of seasonal forecasting for sugarcane farm irrigation planning. European Journal of Agronomy, 104. pp. 37-48. ISSN 1161-0301

An-Vo, Duc-Anh and Mushtaq, Shahbaz and Zheng, Bangyou and Christopher, Jack T. and Chapman, Scott C. and Chenu, Karine (2018) Direct and indirect costs of frost in the Australian wheatbelt. Ecological Economics, 150. pp. 122-136. ISSN 0921-8009

Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Mushtaq, Shahbaz and An-Vo, Duc-Anh and Khan, Shahjahan (2018) Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach. European Journal of Agronomy, 98. pp. 65-81. ISSN 1161-0301

View full listing in ePrints

Approved research supervisor in the area of:

• Agriculture, Land and Farm Management not elsewhere classified ( 070199 )
  

• Distributed Computing not elsewhere classified ( 080599 )
  

• Numerical and Computational Mathematics not elsewhere classified ( 010399 )
  

Research topics

• Machine Learning to Facilitate and Enhance the Parametrisation of Agricultural/Cropping Systems Mode
  

• Using Agricultural Production Systems Models and Spatial Analysis of Crop Yields to iIdentify, Diagnose and Address Areas of Environmental Constraints to Crop Production
  

• A Multi-Criterion Simulation-Optimization Approach for Irrigation Water Resources With Regard to Climate Change
  

• Improved Use of Seasonal Climate Forecast for Agricultural Production Assessment and Farmer Decision Support