Optimization of Irrigation Scheduling Using Soil Water Balance and Genetic Algorithms

被引:0
作者
R. González Perea
E. Camacho Poyato
P. Montesinos
J. A. Rodríguez Díaz
机构
[1] University of Córdoba,Department of Agronomy
来源
Water Resources Management | 2016年 / 30卷
关键词
Pressurized irrigation network; Irrigation district management; Soil water balance; Genetic algorithm;
D O I
暂无
中图分类号
学科分类号
摘要
In arid and semi-arid countries, the use of irrigation is essential to ensure agricultural production. Irrigation water use is expected to increase in the near future due to several factors such as the growing demand of food and biofuel under a probable climate change scenario. For this reason, the improvement of irrigation water use efficiency has been one of the main drivers of the upgrading process of irrigation systems in countries like Spain, where irrigation water use is around 70 % of its total water use. Pressurized networks have replaced the obsolete open-channel distribution systems and on farm irrigation systems have been also upgraded incorporating more efficient water emitters like drippers or sprinklers. Although pressurized networks have significant energy requirements, increasing operational costs. In these circumstances farmers may be unable to afford such expense if their production is devoted to low-value crops. Thus, in this work, a new approach of sustainable management of pressurized irrigation networks has been developed using multiobjective genetic algorithms. The model establishes the optimal sectoring operation during the irrigation season that maximize farmer’s profit and minimize energy cost at the pumping station whilst satisfying water demand of crops at hydrant level taking into account the soil water balance at farm scale. This methodology has been applied to a real irrigation network in Southern Spain. The results show that it is possible to reduce energy cost and improve water use efficiency simultaneously by a comprehensive irrigation management leading, in the studied case, to energy cost savings close to 15 % without significant reduction of crop yield.
引用
收藏
页码:2815 / 2830
页数:15
相关论文
共 60 条
[1]  
Abadia R(2008)Energy efficiency in irrigation distribution networks I: theory Biosyst Eng 101 21-27
[2]  
Rocamora C(1998)Virtual water: a strategic resource global solutions to regional deficits Ground Water 36 545-546
[3]  
Ruiz A(2011)Low energy consumption seasonal calendar for sectoring operation in pressurized irrigation networks Irrig Sci 29 157-169
[4]  
Puerto H(2010)On-demand pressurized water distribution system impacts on sprinkler network design and performance Irrig Sci 28 331-339
[5]  
Allan JA(2002)A fast and elitist multiobjective genetic algorithm: NSGA-II IEEE Trans Evol Comput 6 182-197
[6]  
Carrillo Cobo MT(2009)The genetic algorithm approach for identifying the optimal operation of a multi-reservoirs on-demand irrigation system Biosyst Eng 102 334-344
[7]  
Rodríguez Díaz JA(2002)A paradigm shift in irrigation management J Irrig Drain Eng 128 267-277
[8]  
Montesinos P(2007)Deficit irrigation for reducing agricultural water use J Exp Bot 58 147-159
[9]  
Daccache A(2013)Optimal operation of pressurized irrigation networks with several supply sources Water Resour Manag 27 2855-2869
[10]  
Lamaddalena N(2007)The emerging global water crisis: managing scarcity and conflict between water users Adv Agron 95 1-76