摘要
调查了13座不同类型的危险废物焚烧设施及二噁英类排放模式及部分设施土壤的污染水平.结果表明,排放浓度同焚烧处理量没有显著的关系.4—6氯代PCDD/Fs和7—8氯代PCDD/Fs呈现出了不同的排放特征.4—6氯代PCDF/PCDD比值为60.58±1.98(95%置信区间),较通用的总PCDF/总PCDD比值更适于描述危险废物焚烧设施二噁英排放的特征.使用PCA及聚类分析方法将设施排放模式归类为3种模式.分布模式同焚烧设施炉型、处理量以及尾气处理方式等因素相关性并不显著.2,3,4,7,8PeCDF对I-TEQ的贡献为35%—45%,并与I-TEQ具有很高的相关性.厂区土壤中二噁英浓度水平约为8—14ngI-TEQ.kg-1,周边土壤浓度为1—4ngI-TEQ.kg-1左右,均处于较低水平,调查设施周边土壤的使用目前尚无明显风险.危险废物设施对周边土壤的环境风险需要进一步评估.
The polychlorinated dibenzo-p-dioxins and furans（PCDD/Fs）emission profiles in emissions from 13 different types of hazard waste incinerators（HWI）and the dioxin levels in soil in the vicinity of selected HWIs were investigated and discussed.There were no obvious relationships observed between emission concentrations had with the HWI capacities.Pattern analysis revealed that Tetra to Hexa PCDD/Fs and Hept to Octa PCDD/Fs have different emission characteristics and Tetra to Hexa PCDD/PCDF ratio would more suitable to describe the characteristic of PCDD/Fs emission（6.58±1.98,95% confidence intervals） than the total PCDD/PCDF ratio which used in most researches.Principle factor analysis（PCA）and hierarchical cluster methods were used to distinguish the PCDD/Fs emission pattern into three classes and results shows that the relevance between these patterns and HWI types,capacity and APCS types were not significant.2,3,4,7,8-PeCDFs contributes 35%—45% of I-TEQ and shows significantly high correlation with I-TEQ.The soil PCDD/Fs levels in HWIs ranged from 8 to 14 ng I-TEQ·kg^-1 and that in the vicinity of HWI ranged from 1 to 4ng I-TEQ·kg^-1.Both levels were less than the corresponding soil standards.For the soils near to HWIs,no notable risks for land uses were reported in current status.However,further researches would be expected to evaluate the environmental risks from HWIs emissions to the soils in the vicinity.
出处
《环境化学》
CAS
CSCD
北大核心
2010年第1期1-5,共5页
Environmental Chemistry
基金
863计划资助项目(2006AA06Z403)
973计划资助项目(NO.2009CB421602)
关键词
危险废物焚烧设施
二噁英类排放
土壤
主成分分析
聚类分析
hazard waste incinerator（HWI）, dioxin emission ,soils, principle factor analysis（PCA）, hierarchical cluster analysis
