徐州市生活垃圾填埋场地下水典型金属污染物研究

在对徐州地区生活垃圾填埋场调查分析的基础上,根据填埋特征和地质状况选取4座典型填埋场为调查对象,采用ICP-MS对垃圾渗滤液及地下水中26种重金属进行监测分析。结果表明,在4个垃圾填埋场地下水及渗滤液中ρ(Sr)均相对较高(700μg/L);地下水中金属元素均正在以Ca,Mg为主向Na,Mg为主转化;地下水中Al,B质量浓度大小顺序为Y场(雁群)S场(睢宁)C场(翠屏山)P场(邳州);4个垃圾填埋场共同典型重金属污染物为Mn,Fe,Zn,Ba;除上述污染物外,Y场地下水潜在典型重金属污染物为Pb和Mo;S场为Mo和As;C场为Tl和Co;P场为As。     

非甲烷总烃测定中若干问题的研究

结合环境监测工作的实际情况,应用双柱双检测器气相色谱法,比较了非甲烷总烃不同的测定方法,探讨了在实际环境监测分析中非甲烷总烃测定过程的一些关键性技术问题,对色谱条件提出了几点优化建议,发现非甲烷总烃测定结果以甲烷计更接近实际监测情况,并验证了HJ/T 38—1999和HJ 604—2011方法中2种总烃标准曲线绘制方法的等效性,但在实际环境监测中HJ 604—2011方法操作更加简捷。双柱双检测器气相色谱法测定非甲烷总烃也存在严重的不足,基于FID响应值的非甲烷总烃不能准确全面反映空气有机污染程度,可能会掩盖空气中某些有机污染。     

北京市地下水污染源荷载影响评价

在阐述地下水污染源荷载影响基本概念的基础上,介绍了污染源荷载影响评价的3大要素:污染荷载等级、含水层敏感性及地下水价值,说明了评价体系、指标和方法及过程。根据主要污染源荷载分析,结合地下水环境现状,对北京市进行了分区,提出污染源管理措施。     

珠江口表层水中多环芳烃的分布特征及健康风险评估

分别于2015年2、5、8、11月在珠江八大入海口采集表层水体样品,应用固相萃取富集法对该区域表层水体中16种USEPA优控多环芳烃(PAHs)的时空分布特征进行分析,并利用终生致癌风险增量模型(ILCR)对该区域的饮水健康风险进行评价。结果表明:珠江口4个季度所采集的水样中,∑15PAHs的浓度范围为18.0~50.3 ng/L,含量处于中等水平。其中7种强致癌性∑7PAHs的浓度范围为1.53~3.73 ng/L,占∑15PAHs的5.89%~11.1%,∑15PAHs和∑7PAHs在枯水期(2、11月)样品中明显高于丰水期(5、8月)。就组成特征而言,各采样点PAHs以3、4环为主。珠江口表层水中非致癌类PAHs的危害商数值为0.99×10~(-5)~2.73×10~(-5),远低于USEPA规定的阈值(1);致癌类PAHs产生的健康风险为6.50×10~(-8)~2.37×10~(-7),其中Ba P导致的饮水途径健康风险最高,所有点位致癌类PAHs的健康风险均低于USEPA推荐的对致癌物质最大可接受风险水平(10~(-6)),表明珠江口表层水中PAHs尚不具备严重的致癌风险,但是仍然存在潜在的健康风险,需要重点控制和管理。     

液液萃取-气相色谱法测定水质可萃取性石油烃C10~C40

建立了以环己烷为萃取剂、气相色谱法(氢火焰离子化检测器,FID)测定水质样品中可萃取性石油烃(C_(10)～C_(40))的分析方法。以正构烷烃混合标准溶液为定性和定量校准标准,以色谱峰面积总和与混合标准溶液总浓度建立校准曲线进行外标法定量。方法检出限为0.01 mg/L,经验证方法精密度和准确度良好。同时,分别以气相色谱法和红外光度法测定了地表水、污水处理厂出水、海水和化工废水等实际样品,对比实验结果表明,在可萃取性石油烃C_(10)～C_(40)的碳数范围内,气相色谱法的测试结果与红外光度法无明显差异,有较好的可比性。     

气相色谱-串联质谱法测定沉积物中多环芳烃

采用ASE法提取沉积物中16种多环芳烃,以固相萃取法净化提取液,用气相色谱-串联质谱法测定。通过优化测定条件,使方法在5.00μg/L~1 600μg/L范围内线性良好,方法检出限为0.15μg/kg~0.66μg/kg。空白石英砂的加标回收率为61.9%~121%,7次测定结果的RSD为2.6%~11.1%。     

灌河口表层土壤多环芳烃污染调查

为了解灌河口工业区表层土壤中多环芳烃的污染水平及健康风险。于2017年4月份在灌河口化工园区、火力发电厂和钢铁工业园区采集30个表层土壤样品,利用气相色谱-质谱联用仪(GC-MS)对16种优控ω(PAH)进行了检测。结果表明,30个采样点16种PAH的ω(T-PAHs)总为1 212.8~12 264.5 ng/g,平均值为3 504.8 ng/g。其中单体PAH以Fl为主,平均比例高达19.4%,其次为Pyr(16.7%)和B[a]P(9.6%)。单体PAH相关性分析表明了污染物来源的一致性,主要来源于本地工业区原油、生物质和煤的燃烧过程。根据加拿大土壤环境质量标准,灌河口工业区87%的土壤PAHs污染超过了安全值,存在潜在的生态风险。     

江苏省2014-2016年臭氧污染区域特征分析

分析2014—2016年江苏省O₃污染状况,以及苏北、苏中和苏南3个典型区域O₃年度、季度、日变化和频度占比等分布特征。结果表明,江苏省的O₃空间分布呈现北低南高,2014—2016年的O₃超标占比由18.4%上升至34.9%;2016年苏北、苏中和苏南地区O₃-8h第90百分位数与2014年相比,上升2.7%,21.8%和3.3%;3个区域夏季O₃-8h均值最高,春、秋2季次之,冬季最低;O₃-1h日变化呈单峰状态,最低值出现在06:00—07:00,最高值出现在15:00—16:00;2016年3个地区的O₃频度占比均呈正态分布,主要集中在40~80 μg/m³,所占比例均>15%;苏中和苏南区域2016和2014年相比O₃频率占比的变化幅度较大,苏北地区变化幅度不大。指出,江苏省的O₃污染程度在逐年提高,污染范围从苏南逐渐往中部和北部城市扩大。     

Wood-Specific Polycyclic Aromatic Hydrocarbon (PAH) Patterns in Soot Using Gas Chromatography-Atmospheric Pressure Laser Ionization-Mass Spectrometry (GC-APLI-MS)

If organic matter is burnt, the combustion of wood produces the highest amounts of polycyclic aromatic hydrocarbons (PAHs) compared with other fossil energy sources such as oil, coal, or gas. Emissions from wood combustion are increasingly of special interest due to the rising use of wood as a renewable energy source in residential heating in Europe. To the authors' knowledge, reproducible wood-specific PAH patterns in soot were identified for the first time by use of a sampling interval of only 5 min in this study. The short sampling interval was enabled by the very sensitive analytical method of gas chromatography–atmospheric pressure laser ionization–mass spectrometry (GC-APLI-MS) applied. The analysis of 40 PAH of soot from wood logs of spruce, pine, larch (softwood) and beech, birch, oak (hardwood), and wood pellets, as well as wood briquettes, showed 13.46–250.62 mg/kg for ∑40 PAH and 10.75–177.94 mg/kg for the U.S. Environmental Protection Agency PAH standard (without acenaphthylene and anthracene). Highest concentrations occurred in the samples from birch with bark, beech, and wood briquettes. Indeno[1,2,3-cd]pyrene, naphthalene, and alkylated naphthalenes were also detected. Significant concentrations of the very toxic dibenzopyrenes (up to 11.30 mg/kg) are reported. Softwood soot contained highest amounts of 2–4-ring PAH, followed by hardwood which is in accordance with the presence of highest amounts of abietic acid in softwood, a known precursor of retene and phenanthrene. PAH in soot from five spruce samples from different locations show a mean ∑40 PAH concentration of 13.46 mg/kg (n = 5, minimum 8.03, maximum 23.32 mg/kg, SD = 5.65) and exhibited a typical pattern that differed from all other wood soot samples. The distributions of alkylated naphthalenes of the spruce samples show a bell-shape distribution in contrast to the alkylated phenanthrenes/anthracenes of all samples (except the wood pellets), showing a slope distribution. The data indicate that wood-specific PAH patterns exist and under the applied conditions, spruce logs produced the least toxic soot.     

Comprehensive Environmental Investigation at Former Industrial/Petroleum Underground Storage Tank Sites in Long Beach,CA: A Forensic Perspective

Two industrial sites were investigated based on years of available hydrogeologic information and monitoring data for soil and groundwater. Collected data were forensically evaluated using age-dating and fingerprinting methods. The previous business uses of the project sites were as a gas station, laundry/dry-cleaning service, and car wash with petroleum underground storage tanks (USTs). As a result, these sites were exposed to a number of toxic contaminants at relatively high concentrations. Source control was necessary for successful remediation and the ultimate removal of the remaining compounds from these industrial sites. Although contaminated soil around the source was excavated during the remedial action and the high concentrations of contaminants were reduced, typical groundwater contaminants such as petroleum hydrocarbons as gasoline (TPH-G), benzene, toluene, ethylbenzene, xylenes (BTEX), and oxygenates including methyl tert-butyl ether (MTBE), diisopropyl ether (DIPE), ethyl tert-butyl ether (ETBE), tert-amyl methyl ether (TAME), and tert-butyl alcohol (TBA) were persistently found at the studied sites around the source points. The plume and concentration of contaminants had changed their shapes and strength for all monitoring periods. Thus, additional source control seems to be a requirement for the complete removal of source contamination, which must be ascertained with groundwater and soil monitoring on a regular time base. For the study sites, monitored natural attenuation was relatively feasible for the long-term plan; however, it did not offer a perfect remediation solution for an ultimate goal because of residual toxic compounds that might have affected the surrounding residential areas at higher concentrations than their health limits. Therefore, as a remediation strategy, the combination of clean-up technology and natural attenuation with monitoring activities are more highly recommended than either clean-up or natural attenuation used separately.