研究论文
富天乙,邹志红,王晓静.基于多元统计和水质标识指数的辽阳太子河水质评价研究[J].环境科学学报,2014,34(2):473-480
基于多元统计和水质标识指数的辽阳太子河水质评价研究
- Water quality assessment for Taizi River watershed in Liaoyang section based on multivariate statistical analysis and water quality identification index
- 基金项目：国家自然科学基金（No.51178018）；国家自然科学基金重点项目（No.71031001）
- 作者
- 单位
- 富天乙
- 北京航空航天大学经济管理学院, 北京 100191
- 邹志红
- 北京航空航天大学经济管理学院, 北京 100191
- 王晓静
- 北京航空航天大学经济管理学院, 北京 100191
- 摘要：以太子河辽阳段为例，通过因子分析从16个水质评价基础指标中筛选出8个作为水质评价重要指标.在利用方差分析（ANOVA）对各监测断面多年水质指标数据进行时间与空间尺度上显著差异性检验的基础上，通过层次聚类分析将2009—2012年3个断面的144个样本点分成11组.同时，以各组的样本均值为基础，采用水质标识指数方法得到各组的水质评价结果，并将其分解到各组对应的水质样本点，以实现对多断面、长时间大量样本的水质评价.实证结果表明：2009—2012年间太子河辽阳段干流的水质状况大部分处于Ⅲ级以上，从上游到下游，水质状况呈恶化趋势.研究表明，本文提出的基于多元统计分析和水质标识指数的水质评价方法可用于多断面、长时间大量样本的水质评价工作.
- Abstract：In order to conduct water quality assessment for large-scale and long-term monitoring samples, a new approach was proposed based on multivariate statistical analysis and water quality identification index. Taking Taizi River watershed in Liaoyang section as an example, eight indicators were selected out of sixteen as water quality evaluation indicators through factor analysis. Based on the results of analyzing the temporal and spatial differences of water quality monitoring data according to analysis of variance (ANOVA), 144 samples were divided into 11 groups by hierarchical cluster analysis. Using sample mean of each group as input, water quality identification index of each group was calculated. The evaluation result of each group was then fed back to every original sample. The empirical results showed that the water quality condition of Taizi River watershed in Liaoyang section was mostly worse than Class Ⅲ from 2009 to 2012. From upstream to downstream, water quality condition had a deteriorating trend.
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