SMAC - SPATIAL OPTIMIZATION MODEL FOR ANALYZING CATCHMENT MANAGEMENT

Authors
Citation
R. Greiner, SMAC - SPATIAL OPTIMIZATION MODEL FOR ANALYZING CATCHMENT MANAGEMENT, Environmental software, 11(1-3), 1996, pp. 159-165
Citations number
15
Categorie Soggetti
Computer Application, Chemistry & Engineering","Computer Science Software Graphycs Programming","Engineering, Environmental
Journal title
ISSN journal
02669838
Volume
11
Issue
1-3
Year of publication
1996
Pages
159 - 165
Database
ISI
SICI code
0266-9838(1996)11:1-3<159:S-SOMF>2.0.ZU;2-2
Abstract
The ways in which people use land tends to follow economic motivations . Environmental considerations are often ignored until resource degrad ation reaches the stage of economic significance. Environmental side-e ffects of land-use activities are not confined to the area where they apply. In the case of agricultural land use, the way in which farmers use their land may impact on the profitability of neighbouring propert ies, other properties in the region, and the welfare of the wider comm unity. The question arises as to which land-use practices would be fin ancially viable for the farms as well as ensure environmental sustaina bility of agricultural land use. This paper outlines the framework of SMAC, a modelling tool that is being developed to analyse the economic and environmental sustainability of land use in catchments. It uses a spatial optimisation approach in a dynamic context. The methodology i s applied to the Liverpool Plains catchment in northern New South Wale s, Australia. Here, rising saline groundwater tables cause extensive s oil salinisation. The underlying hydrological imbalance has been trigg ered by European-style land-use practices. The conceptual approach of the model combines farm behaviour and catchment response as two proces s levels. It seeks to provide assistance in developing a land-use stra tegy for sustainable agriculture in the catchment and provides a tool for assessing the implications of policy changes to enhance the proces s. Copyright (C) 1996 Elsevier Science Ltd.