纺织工业优先管控重金属污染物筛选

Screening of Prior Controlled Heavy Metal Pollutants in the Textile Industry

为探讨纺织工业优先管控重金属污染物的筛选方法,综合运用定量分析和毒性分析方法对2001—2015年纺织工业排放的重金属污染物造成的环境负荷进行排序,采用Spearman相关系数法和偏离值法对排序结果进行比较。研究结果表明:基于重金属污染物质量指标和毒性指标的环境负荷排序结果并不一致;砷、汞和镉皆为具有低排放量、高毒性环境负荷的污染物,其中砷和汞可造成较大的人体毒性环境负荷,镉可造成较大的生态毒性环境负荷。该3类重金属污染物应重点关注并优先管控,以减轻纺织工业排放重金属污染物造成的环境影响。

In order to explore the screening method of the prior controlled heavy metal pollutants in the textile industry, the paper comprehensively used quantitative analysis and toxicity analysis to rank the environmental loads caused by heavy metal pollutants emitted by the textile industry from 2001 to 2015, and compared the ranking results by Spearman correlation coefficient method and deviation value method. Results indicated that the environmental load ranking results based on quality indicators and toxicity indicators of heavy metal pollutants were not consistent. Arsenic, mercury and cadmium are pollutants with low emission and high toxic environmental load. Among them, arsenic and mercury can cause a severe human toxic load, and cadmium can cause a large ecological toxic load. These three types of heavy metal pollutants should be focused on and be prioritized to control, so as to reduce the environmental impact of heavy metal pollutants emitted by the textile industry.