摘要
论文应用多种多元统计方法对广西南宁市西明江流域水质进行时空分异特征分析及污染源识别。结果表明,流域水质采样点可分为A(农村生活用地)、B(城市生活用地)两个组,其中,B组区域营养盐污染及有机物污染水平均高于A组区域;全年可分为a(丰水期)、b(平、枯水期)两个时段,a时段河流水质相对较好,b时段流量较小,水质易受河流沿程生活污水直排口污染;A组区域主要污染来源于面源污染,B组区域主要污染来源于生活污染及底泥内源释放。
This paper uses a variety of multivariate statistical methods to analyze the spatio-temporal variation characteristics of the water quality of the Ximingjiang basin in Nanning City, Guangxi and identify pollution sources. The results show that the water quality sampling points of the basin can be divided into two groups: A(rural living land) and B(urban living land). Among them, the level of nutrient pollution and organic pollution in group B area is higher than that in group A area. The whole year can be divided into two periods: a(wet period) and b(normal and dry period). The river water quality in period a is relatively good, and the flow in period b is relatively small, and the water quality is easily polluted by the direct discharge of domestic sewage along the river. The main pollution in group A area comes from non-point source pollution, and the main pollution in group B area comes from domestic pollution and sediment endogenous release.
作者
覃楠钧
赵侣璇
刘凯
宋晓薇
黄业翔
QIN Nan-jun;ZHAO Lv-xuan;LIU Kai;SONG Xiao-wei;HUANG Ye-xiang(Guangxi Zhuang Autonomous Region Academy of Environmental Protection Sciences,Nanning 530022,China)
出处
《中小企业管理与科技》
2020年第25期33-37,共5页
Management & Technology of SME
基金
广西创新驱动发展专项资金项目(项目编号:No.AA17202032-3)。
关键词
多元统计
时空分异
污染源识别
水质管理
multivariate statistics
spatio-temporal variation
identification of pollution sources
water quality management