摘要
为分析海州区细河水体质量,在河道的各个关键入水口和关键节点设置了26个水质观测站,对5个水质因素进行监测。采用多元线性回归的方法对监测数据进行分析,建立了各因素与水质标准的评价模型,并对该模型进行检验。结果显示,该模型质量较高、符合工程应用标准。采用方差分析法对各个影响因素的显著性进行分析,得到显著性顺序依次为:五日生化需氧量、溶解氧、氨氮、高锰酸盐量、石油类。排序结果对细河水体水质评价和治理都具有重要参考价值。
To analyse the water quality of Xihe River in Haizhou District, 26 water quality monitoring spots were arranged at key water inlets and key cross-sections of the waterways. By means of multiple linear regression method, an analysis on data collected at the monitoring spots was carried out, and an evaluation model for all factors referring to water quality standards has been built up and was verified. The test showed that the quality of the model could meet the applicable requirement for engineering purpose. With a variance analysis, the significance of individual influencing factors was evaluated, and it finally came up in descending order as five-day biochemical oxygen demand, dissolved oxygen, ammonia nitrogen, permanganate value, oil. It could have important referential value for water quality evaluation and management.
出处
《上海环境科学》
CAS
2016年第2期74-76,86,共4页
Shanghai Environmental Sciences
基金
国家自然科学基金
编号:51204080
关键词
水体质量
线性回归
敏感度分析
水质评价
Water quality Linear regression Sensitivity analysis Water quality evaluation