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Titolo:
Seasonal furrow irrigation model with genetic algorithms (OPTIMEC)
Autore:
Montesinos, P; Camacho, E; Alvarez, S;
Indirizzi:
Univ Cordoba, Dept Agron, E-14080 Cordoba, Spain Univ Cordoba Cordoba Spain E-14080 a, Dept Agron, E-14080 Cordoba, Spain
Titolo Testata:
AGRICULTURAL WATER MANAGEMENT
fascicolo: 1, volume: 52, anno: 2001,
pagine: 1 - 16
SICI:
0378-3774(200112)52:1<1:SFIMWG>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
ADVANCE EQUATION; SHAPE FACTOR; OPTIMIZATION; UNIFORMITY; INFILTRATION; SOIL;
Keywords:
furrow irrigation; irrigation scheduling; economic analysis; optimization; genetic algorithm;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
37
Recensione:
Indirizzi per estratti:
Indirizzo: Montesinos, P Univ Cordoba, Dept Agron, Avda Menendez Pidal S-N,Apdo 3048,E-14080 Cordoba, Spain Univ Cordoba Avda Menendez Pidal S-N,Apdo 3048 Cordoba Spain E-14080
Citazione:
P. Montesinos et al., "Seasonal furrow irrigation model with genetic algorithms (OPTIMEC)", AGR WATER M, 52(1), 2001, pp. 1-16

Abstract

A seasonal furrow irrigation model based on the concept of a comprehensiveirrigation system is implemented using a Visual Basic program, OPTIMEC (EConomic OPTIMization in Spanish). From a set of climatological, soil, furrowgeometry and crop data for sloping and run-off free furrows, OPTIMEC determines a quasi-optimum irrigation season calendar based on economic profit maximization. The model features four components: a soil moisture model, an irrigation hydraulic model, a crop yield model and an economic optimizationmodule. This module uses a heuristic technique, the genetic algorithm (GA), to find a quasi-global optimum combination of irrigation events (defined by irrigation date, cut-off time and inflow rate) that maximizes net profit. GAs are based on the laws of natural selection and can be applied to manycomplex problems that are difficult to solve using traditional techniques. The problem stated herein is to find the best combination of weekly irrigation events during the season. A maximization approach based on traditionaloptimization technique is not easy due to the difficulties in establishingan explicit function relating profit, water depth and flow rate. This disadvantage can be overcome using GAs. A field example is used to illustrate model options, particularly the analysis capabilities of the optimization approach. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/01/20 alle ore 06:27:49