摘要
针对我国大多数地区渠系配水通用性较低的问题,将农田水利作为农村基础设施建设的重点任务,以吉林省大安灌区渠系为例,基于地理信息及遥感测控技术,通过改进的蚁群算法对灌区渠系进行优化配水,最终达到节水灌溉增产的效果。在北方实际灌溉过程中,优化配水在农业节水灌溉领域中具有重要的意义,其算法简单,收敛性好。采用改进的蚁群算法可以使渠系配水模式在满足一定约束条件下将水量损失降到最低,使有限的水资源发挥最大的作用。结果更贴近实际,值得全国范围推广应用。
Aiming at problems of lower generality allocation of water in canals of most irrigation districts,irrigation and water conservancy are viewed as key tasks of rural infrastructure construction,taking Da＇an irrigated area canal system in Jilin as examples,based on geographic information and remote sensing observation and control technology,according to improved ant colony algorithm,the canal with water is optimized,and eventually the effect of increasing production is obtained.During the actual irrigation,it is of great importance for optimal allocation of water in agriculture water-saving irrigation area,the arithmetic is simple and astringency is better.Based on the improved ant colony algorithm,canal system water distribution pattern can reduce water yield to the lowest under certain constraint conditions,thereby,make limited water resources play a biggest role,and the results are more close to practice,thus it is worth to be popularized.
出处
《安徽农业科学》
CAS
北大核心
2011年第31期19330-19332,19360,共4页
Journal of Anhui Agricultural Sciences
基金
吉林省科技厅青年科研基金(201000153)
关键词
蚁群算法
优化配水
含水量
像元
Ant colony algorithm
Optimization with water
Water content
Pixel
