Adapting modelling systems for salinity management of farms and catchments in Australia and Thailand

N. Hall; R. Greiner; S. Yongvanit

doi:10.1016/S0378-4754(03)00098-3

Adapting modelling systems for salinity management of farms and catchments in Australia and Thailand

N. Hall^*, R. Greiner, S. Yongvanit

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

8 Citations (Scopus)

Abstract

The Spatial Optimisation Model for Analysing Catchment Management (SMAC) model was chosen as the catchment-modelling tool in an ACIAR project on salinisation to be carried out by a research team headed by the University of Technology, Sydney and, in Thailand, the project will involve Khon Kaen University, The Royal Forest Department and the Land Development Department of the Ministry of Agriculture and Cooperatives. The SMAC has been developed to quantify the inter-relationships between socio-economic conditions, land-use and the biophysical condition of the catchment. SMAC will be applied for hydrological, economic and social modelling, at catchment and other scales to evaluate the impact of revegetation in Thailand (Lam Pao and Khorat and Australia (Liverpool Plains and Upper Macquarie Valley). This paper describes the SMAC model and discusses the methodological and other challenges of applying it in other regions with different land-use systems, economic conditions and hydrology, and a data-sparse environment.

Original language	English
Pages (from-to)	319-327
Number of pages	9
Journal	Mathematics and Computers in Simulation
Volume	64
Issue number	3-4
DOIs	https://doi.org/10.1016/S0378-4754(03)00098-3
Publication status	Published - 11 Feb 2004
Event	MSSANZ IMACS 14th Biennial Conference on Modelling and Simulations - Canberra, Australia Duration: 1 Dec 2001 → 1 Dec 2001

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title = "Adapting modelling systems for salinity management of farms and catchments in Australia and Thailand",

abstract = "The Spatial Optimisation Model for Analysing Catchment Management (SMAC) model was chosen as the catchment-modelling tool in an ACIAR project on salinisation to be carried out by a research team headed by the University of Technology, Sydney and, in Thailand, the project will involve Khon Kaen University, The Royal Forest Department and the Land Development Department of the Ministry of Agriculture and Cooperatives. The SMAC has been developed to quantify the inter-relationships between socio-economic conditions, land-use and the biophysical condition of the catchment. SMAC will be applied for hydrological, economic and social modelling, at catchment and other scales to evaluate the impact of revegetation in Thailand (Lam Pao and Khorat and Australia (Liverpool Plains and Upper Macquarie Valley). This paper describes the SMAC model and discusses the methodological and other challenges of applying it in other regions with different land-use systems, economic conditions and hydrology, and a data-sparse environment.",

keywords = "Agroforestry, Integrated catchment management, Integrated modelling, Salinity",

author = "N. Hall and R. Greiner and S. Yongvanit",

year = "2004",

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doi = "10.1016/S0378-4754(03)00098-3",

language = "English",

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pages = "319--327",

journal = "Mathematics and Computers in Simulation",

issn = "0378-4754",

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note = "MSSANZ IMACS 14th Biennial Conference on Modelling and Simulations ; Conference date: 01-12-2001 Through 01-12-2001",

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T1 - Adapting modelling systems for salinity management of farms and catchments in Australia and Thailand

AU - Hall, N.

AU - Greiner, R.

AU - Yongvanit, S.

PY - 2004/2/11

Y1 - 2004/2/11

N2 - The Spatial Optimisation Model for Analysing Catchment Management (SMAC) model was chosen as the catchment-modelling tool in an ACIAR project on salinisation to be carried out by a research team headed by the University of Technology, Sydney and, in Thailand, the project will involve Khon Kaen University, The Royal Forest Department and the Land Development Department of the Ministry of Agriculture and Cooperatives. The SMAC has been developed to quantify the inter-relationships between socio-economic conditions, land-use and the biophysical condition of the catchment. SMAC will be applied for hydrological, economic and social modelling, at catchment and other scales to evaluate the impact of revegetation in Thailand (Lam Pao and Khorat and Australia (Liverpool Plains and Upper Macquarie Valley). This paper describes the SMAC model and discusses the methodological and other challenges of applying it in other regions with different land-use systems, economic conditions and hydrology, and a data-sparse environment.

AB - The Spatial Optimisation Model for Analysing Catchment Management (SMAC) model was chosen as the catchment-modelling tool in an ACIAR project on salinisation to be carried out by a research team headed by the University of Technology, Sydney and, in Thailand, the project will involve Khon Kaen University, The Royal Forest Department and the Land Development Department of the Ministry of Agriculture and Cooperatives. The SMAC has been developed to quantify the inter-relationships between socio-economic conditions, land-use and the biophysical condition of the catchment. SMAC will be applied for hydrological, economic and social modelling, at catchment and other scales to evaluate the impact of revegetation in Thailand (Lam Pao and Khorat and Australia (Liverpool Plains and Upper Macquarie Valley). This paper describes the SMAC model and discusses the methodological and other challenges of applying it in other regions with different land-use systems, economic conditions and hydrology, and a data-sparse environment.

KW - Agroforestry

KW - Integrated catchment management

KW - Integrated modelling

KW - Salinity

UR - https://www.scopus.com/pages/publications/0942266687

U2 - 10.1016/S0378-4754(03)00098-3

DO - 10.1016/S0378-4754(03)00098-3

M3 - Conference article

SN - 0378-4754

VL - 64

SP - 319

EP - 327

JO - Mathematics and Computers in Simulation

JF - Mathematics and Computers in Simulation

IS - 3-4

T2 - MSSANZ IMACS 14th Biennial Conference on Modelling and Simulations

Y2 - 1 December 2001 through 1 December 2001

ER -

Adapting modelling systems for salinity management of farms and catchments in Australia and Thailand

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