摘要
在分析影响灌溉用水水质因素的基础上,选择酸度、碱度和矿化度为评价因子,建立了灌溉用水水质评价的投影寻踪分析模型,采用蚁群算法对评价模型进行优化,并将该模型应用于某灌区灌溉水水质的评价。研究表明,用投影寻踪回归分析法进行水质评价,避免了传统评价方法由于主观原因造成的误差,评价结果合理可信、方法简单,为灌溉用水水质的评价提供了新途径。
The acidity,alkalinity and mineralization degree were selected as evaluation factors based on analyzing the factors of affecting irrigation water quality to establish the model of projection pursuit for evaluating water quality and then the model was optimized by Ant Colony Algorithm.The evaluation result from evaluating the irrigation water quality by the model with a simple way was more reasonable and reliable than that by the conventional evaluation method.The model of projection pursuit provides a new method for evaluation of irrigation water quality.
出处
《贵州农业科学》
CAS
北大核心
2009年第9期61-64,68,共5页
Guizhou Agricultural Sciences
基金
广西壮族自治区水利厅科技专项基金项目"广西膨胀土地区渠道工程问题及其综合治理措施的研究"(200806)
关键词
投影寻踪
蚁群算法
灌溉用水
水质评价
projection pursuit(PP)
Ant Colony Optimization Algorithm(ACA)
irrigation water
evaluation of water quality
