Mihailov G, Simeonov V, Nikolov N, Mirinchev G
Department of Water Supply, Sewerage, Water & Wastewater Treatment, Faculty of Hydrotechnics, University of Architecture, Civil Engineering & Geodesy, 1 Chr. Smirnensky Blvd., 1421 Sofia, Bulgaria.
Water Sci Technol. 2005;51(11):37-43.
Sixteen sampling sites along the stream of Kamchia River were considered as environmental objects in the multivariate statistical study aimed to identify and apportion patterns of sampling sites, latent factors responsible for the data structure and their relation to the emitter industrial and anthropogenic sources in the vicinity of the sampling sites. As variables 11 surface water parameters monitored for a long time period (up to 11 years) were used. Four main site patterns were revealed by cluster analysis (urban, rural, near-to dam and estuary) and for each site latent factors were identified and apportioned (among them "metallurgical", "food production", "winery", domestic wastes", "natural"). The relative contribution of each identified pollution source to the formation of the total concentration of each chemical species or physicochemical parameter was determined and compared to the real emitters in the region of interest.
在旨在识别和划分采样点模式、造成数据结构的潜在因素及其与采样点附近排放工业和人为源之间关系的多变量统计研究中,将卡姆奇亚河沿岸的16个采样点视为环境对象。作为变量,使用了长期(长达11年)监测的11个地表水参数。通过聚类分析揭示了四种主要的采样点模式(城市、农村、靠近大坝和河口),并为每个采样点识别和划分了潜在因素(其中包括“冶金”、“食品生产”、“酿酒厂”、“生活废物”、“自然”)。确定了每个已识别污染源对每种化学物质或物理化学参数总浓度形成的相对贡献,并与感兴趣区域内的实际排放源进行了比较。