摘要
本文利用基于MATLAB实现的模糊模式识别交叉迭代模型,对分布于乌梁素海2004年5月和7月各水功能区的10个水质监测点的水质等级进行了模糊模式识别,得到各水质监测点水质等级的定量变化及全湖水质等级变化的加权均值,并与乌梁素海同期水质监测指标浓度变化趋势进行对比分析及验证。发现水质等级识别结果与实际情况相符,能够比较准确地反映水质等级定量变化趋势。
Fuzzy pattern recognition theory was applied to recognize the water quality grade of the shallow lake Wuliangsuhai, located in arid area of Inner Mongolia, China. Across iteration fuzzy recognition model that was established and realized by MATLAB 7.0 was used to recognize the water quality grade of 10 water quality monitoring stations in Wuliangsuhai using data sampled from May to July in 2004. It can be concluded that the recognition results corresponded with the actual situation and can be used to reflect the changes of the water quality grade well.
出处
《农业环境科学学报》
CAS
CSCD
北大核心
2007年第6期2299-2304,共6页
Journal of Agro-Environment Science
基金
国家自然科学基金(50269001
50569002)
内蒙古自然科学基金(200208020512)
内蒙古"十五"科技攻关(20010103)
关键词
模糊模式识别交叉迭代模型
水质等级识别
乌梁素海
cross iteration fuzzy pattern recognition model
water quality grade recognition
Lake Wuliangsuhai
