Department of Statistics, Faculty of Arts and Science, Eskisehir Osmangazi University, Meşelik Campus, 26480, Eskisehir, Turkey.
Environ Monit Assess. 2009 Nov;158(1-4):51-65. doi: 10.1007/s10661-008-0564-3. Epub 2008 Oct 11.
In this study, the factor analysis technique is applied to surface water quality data sets obtained from Porsuk stream in Turkey, generated during 10 years (1995-2005) monitoring of 29 parameters at one site (Esenkara) for all four seasons. The varifactors obtained from factor analysis indicate that the parameters responsible for water quality variations are mainly related to mineral and inorganic nutrients, organic pollution, microbiological pollution in winter and spring; mineral and nutrients in summer; microbiological and nutrient pollution in fall. This study presents the necessity and usefulness of multivariate statistical assessment of large and complex databases in order to get better information about the quality of surface water.
在这项研究中，因子分析技术被应用于从土耳其 Porsuk 河获得的地表水质量数据集，这些数据集是在一个站点（Esenkara）在 10 年（1995-2005 年）的监测中生成的，监测了 29 个参数的所有四个季节。因子分析得到的因子表明，导致水质变化的参数主要与冬季和春季的矿物质和无机养分、有机污染、微生物污染；夏季的矿物质和养分；秋季的微生物和养分污染有关。本研究表明，对大型复杂数据库进行多元统计评估是必要的和有用的，以便更好地了解地表水的质量。
