Title of article :
A decision support for an integrated multi-scale analysis of irrigation: DSIRR
Author/Authors :
Bazzani، نويسنده , , Guido M.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Pages :
14
From page :
301
To page :
314
Abstract :
The paper presents a decision support designed to conduct an economic-environmental assessment of the agricultural activity focusing on irrigation called ‘Decision Support for IRRigated Agriculture’ (DSIRR). The program describes the effect at catchment scale of choices taken at micro scale by independent actors, the farmers, by simulating their decision process. The decision support (DS) has been thought of as a support tool for participatory water policies as requested by the Water Framework Directive and it aims at analyzing alternatives in production and technology, according to different market, policy and climate conditions. The tool uses data and models, provides a graphical user interface and can incorporate the decision makersʹ own insights. Heterogeneity in preferences is admitted since it is assumed that irrigators try to optimize personal multi-attribute utility functions, subject to a set of constraints. Consideration of agronomic and engineering aspects allows an accurate description of irrigation. Mathematical programming techniques are applied to find solutions. The program has been applied in the river Po basin (northern Italy) to analyze the impact of a pricing policy in a context of irrigation technology innovation. Water demand functions and elasticity to water price have been estimated. Results demonstrate how different areas and systems react to the same policy in quite a different way. While in the annual cropping system pricing seems effective to save the resource at the cost of impeding Water Agencies cost recovery, the same policy has an opposite effect in the perennial fruit system which shows an inelastic response to water price. The multidimensional assessment conducted clarified the trades-off among conflicting economic-social-environmental objectives, thus generating valuable information to design a more tailored mix of measures.
Keywords :
water , Decision support , Multi-criteria modelling , Economic analysis , agriculture
Journal title :
Journal of Environmental Management
Serial Year :
2005
Journal title :
Journal of Environmental Management
Record number :
1583812
Link To Document :
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