摘要
为了优化灰色关联法,获取西安市典型地表水环境的水质信息,采用线性内插法对监测数据归一化,使用超标倍数法确定指标权重,引入加权海明距离法计算评价对象和标准对象之间的相似度,得到新的水质评价模型,将其应用到西安市典型地表水环境质量评价中,并与单因子指数法、模糊综合评价法和BP神经网络法的评价结果进行比较。结果表明:黑河主要污染因子为总磷、总氮和COD,属Ⅱ类水质;浐河主要污染因子为总氮和氨氮,属Ⅴ类水质;北石桥污水处理厂二级出水主要污染因子为总氮、氨氮和COD,属Ⅴ类水质;大唐芙蓉园北湖主要污染因子为COD,属Ⅲ类水质;兴庆湖主要污染因子为总磷和总氮,属Ⅴ类水质;模糊综合评价法、BP神经网络法和改进的灰色关联法的评价结果完全相同。
In order to optimize the grey correlation method and gain the information of water qualityof Xi 'an's typical surface water environment,the linear interpolation method was adopted to monitoring data normalization,excessive multiples method was used to determine index weight,and weighted Hamming distance method was introduced to form a new water quality evaluation model that was used to value the quality of Xi 'an typical surface water environment,and compared withsingle factor index method,fuzzy comprehensive evaluation method and BP neural network. The evaluation results show that the Heihe river's main pollution factors are TP、TN and COD,Ⅱ class water quality; the Chanhe river's main pollution factors are TN and NH3-N,Ⅴclass water quality; main pollution factors of the secondary sewage treatment plant of North Stone Bridge are TN、NH3-N and COD,Ⅴ class water quality; main pollution factors ofnorth lake in Datang lotus park is COD,as a class Ⅲ water quality; main pollution factors of Xingqing Lake are TP and TN,Ⅴ class water quality. The comparison results show that the evaluation result of the fuzzy comprehensive evaluation method,the BP neural network and improved grey correlation method is exactly the same.
出处
《人民黄河》
CAS
北大核心
2017年第11期109-111,127,共4页
Yellow River
基金
陕西省软科学研究基金资助项目(2014KRM101)
关键词
线性内插法
超标倍数法
加权海明距离法
改进灰色关联法
水质评价
地表水环境
西安市
linear interpolation method
standard ratio method
weighted Hamming distance method
improved grey correlation method
water quality assessment
surface water environmental
Xi'an City
