主成分分析法在窖水水质变化评价中的应用  

Application of Principal Component Analysis to an Evaluation of Water Quality in Water Cellar

作　　者：张国珍[1] 乔国亮 武福平[1] 杨浩[1] 牛燕[1] 

机构地区：[1]兰州交通大学环境与市政工程学院,甘肃兰州730070

出　　处：《环境科学与技术》2014年第4期181-184,共4页Environmental Science & Technology

基　　金：国家自然科学基金项目:西北黄土地区窖水水质变化及水质稳定性研究(51068014)

摘　　要：借助SPSS软件,采用主成分分析法,对西北黄土地区集雨窖水水中的DO、浊度、NH3-N、高锰酸盐指数、TP、UV254、细菌总数、大肠菌群数等8个水质指标随时间变化的情况进行了分析评价。结果表明:氨氮、高锰酸盐指数、UV254、细菌总数、大肠杆菌数指标之间具有很强的相关性,是影响窖水水质的主要因素。雨水进入水窖后,会使窖水水质变差,随着时间的增长,窖水水质会逐渐变好,分析结果与实际检测情况一致,证明主成分分析法是一种适用于西北黄土地区集雨窖水水质评价的重要方法。Water quality data of a water cellar in the dry loess region of Northwest China was analyzed and calculated by principal component analysis with the assistance of SPSS software. The data were collected based on monitoring of the water cellar during the period of 70 days with water samplings every seven days, including eight parameters such as DO, turbidity, NH3-N, CODMn, TP, UV254, total number of bacteria and coliform counts. Results of the evaluation showed that close correlations existed among parameters such as ammonia, CODMn, UV254, total number of bacterias and coliform counts, which indicated that these parameters were the main factors that affected the water quality; and when rainwater entered into the cellar, water quality would be deteriorated. With the lapse of time, the cellar＇s water quality would get improved, which was consistent.with the monitoring data. In conclusion, principal component analysis could be used as an important tool in evaluation of water cellars＇ water quality in the loess region of Northwest China.

关 键 词：主成分分析法 西北黄土地区 窖水水质评价 

分 类 号：X824[环境科学与工程—环境工程]