摘要
对秦皇岛海港区4条主要河道共计7个取样断面的主要水质指标进行了为期1年的监测,并运用均值污染指数法和主成分分析法对其水质状况进行评价。结果如下:4条河道主要污染指标为TN、COD和TP;4条河道全年pH值为7.28±0.22、DO质量浓度为(8.98±2.34)mg·L^(-1)、高锰酸钾指数质量浓度为(2.71±0.88)mg·L^(-1)、NH_(3)-N质量浓度为(0.35±0.20)mg·L^(-1)、TP质量浓度为(0.083±0.055)mg·L^(-1)、TN质量浓度为(0.52±0.30)mg·L^(-1)、COD质量浓度为(15.02±3.85)mg·L^(-1)、BOD_(5)质量浓度为(2.74±0.62)mg·L^(-1)。均值污染指数法分析结果表明,海港区4条河道污染程度排序为:新开河>汤河>新河>石河,枯水期污染较严重,平水期、丰水期相对较轻;主成分分析法分析结果表明,4条河道的污染程度与均值污染指数法一致,海港区河道主要污染物为N、P营养盐。
The water quality of 7 sample sectors in four main rivers of Haigang District in Qinhuangdao had been monitored for one year in this paper.Two methods including Average Pollution Index(API)and Principle Component Analysis(PCA)were used to evaluate the water quality.The results showed that TN,COD and TP pollution were most severe.The concentrations of pH value,DO,COD_(Mn),NH_(3)-N,TP,TN,COD and BOD_(5)were 7.28±0.22,(8.98±2.34)mg·L^(-1),(2.71±0.88)mg·L^(-1),(0.35±0.20)mg·L^(-1),(0.083±0.055)mg·L^(-1),(0.52±0.30)mg·L^(-1),(15.02±3.85)mg·L^(-1),(2.74±0.62)mg·L^(-1),respectively.According to API analysis,the ranking of pollution degree of the 4 main rivers of Haigang District was as follows:Xinkai River>Tang River>Xin River>Shi River.The pollution is more serious in dry season,and relatively light in normal season and wet season.According to PCA,the corresponding ranking of pollution degree was the same as the results of API analysis and the main pollutants are N and P nutrients.
作者
赵恰
赵明杰
马学军
刘晓晓
汪佳慧
和娴娴
Zhao Qia;Zhao Mingjie;Ma Xuejun;Liu Xiaoxiao;Wang Jiahui;He Xianxian(Hebei Key Laboratory of River Water Quality Purification and Ecological Restoration,Qinhuangdao Tianda Environmental Protection Research Institute Co.,Ltd.,Qinhuangdao 066000,China;Hebei Solid Waste Pollution Control Center,Shijiazhuang 050000,China;Hebei Engineering Research Center of River Water Treatment and Ecological Restoration,Qinhuangdao 066000,China)
出处
《山东化工》
CAS
2023年第9期251-254,共4页
Shandong Chemical Industry
关键词
城市河道水质
均值污染指数法
主成分分析法
水质综合评价
water quality of the city rivers
average pollution index
principle component analysis
water quality comprehensive assessment