TY - JOUR
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 - http://www.scopus.com/inward/record.url?scp=0942266687&partnerID=8YFLogxK
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 -