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191.
大型钢铁厂及其周边土壤多环芳烃污染现状调查、评价与源解析 总被引:7,自引:0,他引:7
采用气相色谱-质谱联机方法(GC-MS)分析了东北某钢铁厂及周边居住区、风景区共11个采样点表层土壤样品16种多环芳烃(PAHs),结果表明,钢铁工业区16种PAHs(∑PAHs)浓度范围为3.39×103—1.54×105ng·g-1,平均浓度3.21×104ng·g-1;居住区∑PAHs浓度范围为587—6.70×103ng·g-1,平均浓度3.82×103ng·g-1;风景区千山∑PAHs浓度385 ng·g-1.∑PAHs和Bap浓度均呈工业区>居住区>风景区趋势.与国内外其他研究结果相比,该钢铁工业区及其周边居住区土壤PAHs污染相对较为严重,11个采样点中有9个采样点土壤∑PAHs为严重污染,4个采样点苯并(a)芘(Bap)浓度超过加拿大土壤质量基准.利用特征比值法(Diagnostic Rate)和主成分分析法(Principal component analysis,PCA)对钢铁工业区及其周边地区土壤进行了源解析,结果表明,钢铁工业区土壤中PAHs主要来源于焦炉、燃煤、柴油燃烧等污染源,周边地区土壤除受工业污染源排放影响外,机动车汽油、柴油污染排放也有重要影响. 相似文献
192.
小鼠骨髓微核试验评价某市水源水及自来水的遗传毒性 总被引:6,自引:0,他引:6
在以往Ames和VDS试验的基础上,运用小鼠体内微核试验检测了某市自来水公司所属的8个水厂水源水、自来水及2个新拟建水厂源水的有机提取物的遗传毒性。结果表明,除2个新拟建水厂的源水外,该市原来的水源水和自来水,均可不同程度地诱导小鼠微核率的升高,并有明显的剂量反应关系。这说明,该市原来的水源水已受到不同程度的污染,而2个新拟建水厂的取水点则水质较好。 相似文献
193.
长江、嘉陵江(重庆段)源水有机提取物的致突变活性及其季节变化 总被引:3,自引:0,他引:3
为了确定并比较重庆主城区段长江、嘉陵江源水有机提取物的致突变性及其季节变化规律,分别于春、夏、冬季采用GDX-120大孔树脂,对位于城区上游、城区中段、城区下游以长江、嘉陵江源水的5个水厂的进厂水进行了有机物的浓缩提取。提取物的致突变活性采用经典的Ames试验平板掺入法评估,测试菌株为TA98及TA100,同时做加与不加S9的比较。结果显示,嘉陵江及长江源水的有机提取物均有不同程度的致突变活性。嘉陵江源水明显大于长江源水,城区中段源水明显大于上游段及下游段源水。多数断面显示平水期致突变活较为显著并且移码型致突变性大于碱基置换型致密变性。研究结果提示,城市污染源已导致长江、嘉陵江源水具备致突变活性,控制两江沿岸的各种水污染源已成为当务之急。 相似文献
194.
Profiles of PAH emission from steel and iron industries 总被引:5,自引:0,他引:5
In order to characterize the polycyclic aromatic hydrocarbons (PAHs) emission from steel and iron industries, this study measured the stack emission of twelve steel and iron plants in southern Taiwan to construct a set of source fingerprints. The study sampled the emissions by the USEPA's sampling method 5 with the modification of Graseby for the gas and particulate phase PAH and, then, used Hewlett-Packard 5890 gas chromatograph equipped with mass spectrometer detector to analyze the samples. The steel and iron industries are classified into three categories on the basis of auxiliary energy source: Category I uses coal as fuel, Category II uses heavy oil as fuel and Category III uses electric arc furnace. The pollution source profiles are obtained by averaging the ratios of individual PAH concentrations to the total concentration of 21 PAHs and total particulate matter measured in this study. Results of the study show that low molecular weight PAHs are predominant in gas plus particulate phase for all three categories. For particulate phase PAHs, however, the contribution of large molecular weight compounds increases. Two-ring PAHs account for the majority of the mass, varying from 84% to 92% with an average of 89%. The mass fractions of 3-, 4-, 5-, 6-ring PAHs in Category I are found to be more than those of the other two categories. The mass of Category III is dominated by 7-ring PAHs. Large (or heavy) molecular weight PAHs (HMW PAHs) are carcinogenic. Over all categories, these compounds are less than 1% of the total-PAH mass on the average. The indicatory PAHs are benz[a]anthracene, benzo[k]fluoranthene, benzo[ghi]perylene for Category I, benzo[a]pyrene, acenaphthene, acenaphthylene for Category II and coronene, pyrene, benzo[b]chrycene for Category III. The indicatory PAHs among categories are very different. Thus, dividing steel and iron industry into categories by auxiliary fuel is to increase the precision of estimation by a receptor model. Average total-PAH emission factors for coal, heavy oil and electric arc furnace were 4050 μg/kg-coal, 5750 μg/l-oil, 2620 μg/kW h, respectively. Carcinogenic benzo[a]pyrene for gas plus particulate phase was 2.0 g/kg-coal, 2.4 μg/l-oil and 1.4 μg/kW h for Category I, II and III, respectively. 相似文献
195.
A.D. Bhanarkar S.K. Goyal R. Sivacoumar C.V. Chalapati Rao 《Atmospheric environment (Oxford, England : 1994)》2005,39(40):7745-7760
Contribution of pollution from different types of sources in Jamshedpur, the steel city of India, has been estimated in winter 1993 using two approaches in order to delineate and prioritize air quality management strategies for the development of region in an environmental friendly manner. The first approach mainly aims at preparation of a comprehensive emission inventory and estimation of spatial distribution of pollution loads in terms of SO2 and NO2 from different types of industrial, domestic and vehicular sources in the region. The results indicate that industrial sources account for 77% and 68% of the total emissions of SO2 and NO2, respectively, in the region, whereas vehicular emissions contributed to about 28% of the total NO2 emissions. In the second approach, contribution of these sources to ambient air quality levels to which the people are exposed to, was assessed through air pollution dispersion modelling. Ambient concentration levels of SO2 and NO2 have been predicted in winter season using the ISCST3 model. The analysis indicates that emissions from industrial sources are responsible for more than 50% of the total SO2 and NO2 concentration levels. Vehicular activities contributed to about 40% of NO2 pollution and domestic fuel combustion contributed to about 38% of SO2 pollution. Predicted 24-h concentrations were compared with measured concentrations at 11 ambient air monitoring stations and good agreement was noted between the two values. In-depth zone-wise analysis of the above indicates that for effective air quality management, industrial source emissions should be given highest priority, followed by vehicular and domestic sources in Jamshedpur region. 相似文献
196.
我国空气颗粒物中烃类物质的来源解析研究现状 总被引:8,自引:0,他引:8
综述了利用奇偶优势指标、最高峰碳数指标以及色谱峰型特征来判识正构烷烃的来源和利用浓度比值法、化合物的轮廓图特征法、多元统计方法和化学质量平衡法判识多环芳烃的来源,并指出这些方法特点。 相似文献
197.
《环境科学学报(英文版)》2023,35(3):662-677
Smelting activities pose serious environmental problems due to the local and regional heavy metal pollution in soils they cause. It is therefore important to understand the pollution situation and its source in the contaminated soils. In this paper, data on heavy metal pollution in soils resulting from Pb/Zn smelting (published in the last 10 years) in China was summarized. The heavy metal pollution was analyzed from a macroscopic point of view. The results indicated that Pb, Zn, As and Cd were common contaminants that were present in soils with extremely high concentrations. Because of the extreme carcinogenicity, genotoxicity and neurotoxicity that heavy metals pose, remediation of the soils contaminated by smelting is urgently required. The primary anthropogenic activities contributing to soil pollution in smelting areas and the progressive development of accurate source identification were performed. Due to the advantages of biominerals, the potential of biomineralization for heavy metal contaminated soils was introduced. Furthermore, the prospects of geochemical fraction analysis, combined source identification methods as well as several optimization methods for biomineralization are presented, to provide a reference for pollution investigation and remediation in smelting contaminated soils in the future. 相似文献
198.
199.
Nana Cheng Cheng Zhang Deji Jing Wei Li Tianjiao Guo Qiaoli Wang Sujing Li 《环境科学学报(英文版)》2020,32(6):118-128
The source apportionment of PM2.5 is essential for pollution prevention. In view of the weaknesses of individual models, we proposed an integrated chemical mass balance-source emission inventory (CMB-SEI) model to acquire more accurate results. First, the SEI of secondary component precursors (SO2, NOx, NH3, and VOCs) was compiled to acquire the emission ratios of these sources for the precursors. Then, a regular CMB simulation was executed to obtain the contributions of primary particle sources and secondary components (SO42?, NO3-, NH4+, and SOC). Afterwards, the contributions of secondary components were apportioned into primary sources according to the source emission ratios. The final source apportionment results combined the contributions of primary sources by CMB and SEI. This integrated approach was carried out via a case study of three coastal cities (Zhoushan, Taizhou, and Wenzhou; abbreviated WZ, TZ, and ZS) in Zhejiang Province, China. The regular CMB simulation results showed that PM2.5 pollution was mainly affected by secondary components and mobile sources. The SEI results indicated that electricity, industrial production and mobile sources were the largest contributors to the emission of PM2.5 gaseous precursors. The simulation results of the CMB-SEI model showed that PM2.5 pollution in the coastal areas of Zhejiang Province presented complex pollution characteristics dominated by mobile sources, electricity production sources and industrial production sources. Compared to the results of the CMB and SEI models alone, the CMB-SEI model completely apportioned PM2.5 to primary sources and simultaneously made the results more accurate and reliable in accordance with local industrial characteristics. 相似文献
200.
Racha Dejchanchaiwong Perapong Tekasakul Surajit Tekasakul Worradorn Phairuang Nobchonnee Nim Chaiyoth Sresawas Kunchira Thongboon Thunyapat Thongyen Panwadee Suwattiga 《环境科学学报(英文版)》2020,32(11):149-161
Transboundary and domestic aerosol transport during 2018–2019 affecting Bangkok air quality has been investigated. Physicochemical characteristics of size-segregated ambient particles down to nano-particles collected during 2017 non-haze and 2018–2019 haze periods were analyzed. The average PM2.5 concentrations at KU and KMUTNB sites in Bangkok, Thailand during the haze periods were about 4 times higher than in non-haze periods. The highest average organic carbon and elemental carbon concentrations were 4.6 ± 2.1 µg/m3 and 1.0 ± 0.4 µg/m3, respectively, in PM0.5–1.0 range at KU site. The values of OC/EC and char-EC/soot-EC ratios in accumulation mode particles suggested the significant influence of biomass burning, while the nuclei and coarse mode particles were from mixed sources. PAH concentrations during 2018–2019 haze period at KU and KMUTNB were 3.4 ± 0.9 ng/m3 and 1.8 ± 0.2 ng/m3, respectively. The PAH diagnostic ratio of PM2.5 also suggested the main contributions were from biomass combustion. This is supported by the 48-hrs backward trajectory simulation. The higher PM2.5 concentrations during 2018–2019 haze period are also associated with the meteorological conditions that induce thermal inversions and weak winds in the morning and evening. Average values of benzo(a)pyrene toxic equivalency quotient during haze period were about 3–6 times higher than during non-haze period. This should raise a concern of potential human health risk in Bangkok and vicinity exposing to fine and ultrafine particulate matters in addition to regular exposure to traffic emission. 相似文献