摘要
为探明星海湖水质状况,分别于2013-2015年春(4月)、夏(7月)、秋(10月)、冬(1月)采集水样,在水环境因子时空分布特征调查分析的基础上,运用BP神经网络法、灰色关联法对星海湖水质进行评价,运用综合营养状态指数法进行富营养化评价。结果表明:星海湖水环境因子表现出明显的时空变化规律,水质综合评价为Ⅱ~Ⅲ类,轻度富营养化。
Water sample were collected in April,July,October,January from 2013 to 2015 respectively to explore the water quality condition of Xinghai lake.Based on the investigation of water environment factors in temporal and spatial distribution characteristics in Xinghai lake,the water quality was evaluated by BP neural network method and grey relation method,and the eutrophication assessment was conducted by comprehensive trophic state index method.The results showed that the water environment factors presented obviously seasonal change,the water quality was mainly at Ⅱ - Ⅲ grade,and the eutrophication degree was light in Xinghai lake.
出处
《节水灌溉》
北大核心
2017年第3期48-52,共5页
Water Saving Irrigation
基金
宁夏回族自治区科技攻关项目
关键词
时空分布
BP神经网络
灰色关联
综合营养状态指数
temporal and spatial distribution
BP neural network
grey relation
comprehensive trophic state index
