沟塘水质及其周边浅层地下水PAHs的风险评价

为探讨农村居民区沟塘水质对周边浅层地下水的影响,在河南省某县选择典型沟塘,分别在枯水期和丰水期采集沟塘水和周边浅层地下水样品,采用高效液相色谱检测16种多环芳烃（PAHs）的含量,分别描述并比较枯丰水期PAHs的污染特征及其生态与健康风险.结果表明,枯水期沟塘水中BaP含量、∑PAHs、TEQ（BaP）含量和致癌性PAHs占比分别为0.911ng/L、29.3ng/L、1.64ng/L和28.1%,均低于丰水期;浅层地下水中各指标分别为5.37ng/L、291ng/L、12.5ng/L和25.9%,高于丰水期.枯丰水期沟塘水和浅层地下水中PAHs均主要源于生物质和煤炭燃烧.浅层地下水PAHs的含量与沟塘水具有关联性,即距离沟塘越近,PAHs含量越高,枯水期的关联性低于丰水期.饮用浅层地下水致PAHs暴露的累积非致癌风险HQ为2.21x10^-3;累积致癌风险R为1.56x10^-6,72.0%成人R大于1x10^-6,枯水期BaA、BbF和InP对成人致癌风险的贡献分别为72.1%、9.10%和4.80%.枯水期沟塘水PAHs总量为低等生态风险,丰水期为中等风险,不同沟塘其生态风险不同.纳污的C5沟塘水丰水期PAHs为高生态风险水平,BaA的贡献最大（占40.7%）;纳污和养殖的A2枯水期和C3沟塘水丰水期PAHs为中等风险2水平.综上,沟塘水PAHs与周边浅层地下水具有关联性,枯水期沟塘水PAHs总量具有低生态风险,饮用周边浅层地下水的致癌风险高于1x10^-6.     

原位形成生物铁锰氧化物对砷(Ⅲ/V)的去除效果与机制

通过改变砷的初始浓度、砷价态、细菌接种比、铁锰浓度等因素来研究不同条件下Pseudomonas putida strain MnB1原位诱导形成生物铁锰氧化物（Biogenic Fe-Mn oxides,BFMO）对As（Ⅲ）和As（V）的去除效果与机制.结果表明：①当As（Ⅲ）和As（V）初始浓度为0.5~5 mg·L^-1时,原位形成的BFMO对As（Ⅲ）和As（V）有良好的去除效率,均在62%以上;②当细菌接种比为0.1%~0.5%时,As（Ⅲ）和As（V）的去除效率与细菌接种比成正比,当细菌接种比大于0.5%时,As（Ⅲ）和As（V）的去除效率基本维持在85%以上,未发生明显变化;③当MnCO₃浓度为0.2~0.8 g·L^-1或Fe（Ⅱ）浓度为2.5~25 mg·L^-1时,原位诱导产生的BFMO对As（Ⅲ）和As（V）的去除率随MnCO₃浓度或Fe（Ⅱ）浓度的增加而增大;当MnCO₃或Fe（Ⅱ）浓度再升高时,As（Ⅲ）和As（V）的去除效率基本保持不变.微观特征分析结果表明,原位形成的BFMO与As（Ⅲ）和As（V）反应后主要产物为As（V）,其去除主要以吸附为主,还存在共沉淀作用.总体而言,原位形成的BFMO适用于砷污染水环境的修复.     

Co-metabolic and biochar-promoted biodegradation of mixed PAHs by highly efficient microbial consortium QY1

Polycyclic aromatic hydrocarbons (PAHs), typical representatives of the persistent organic pollutants (POPs), have become ubiquitous in the environment. In this study, a novel microbial consortium QY1 that performed outstanding PAHs-degrading capacity has been enriched. The degradation characteristics of single and mixed PAHs treated with QY1 were studied, and the effect of biochar on biodegradation of mixed PAHs and the potential of biochar in PAHs-heavy metal combined pollution bioremediation were also investigated. Results showed that, in single substrate system, QY1 degraded 94.5% of 500 mg/L phenanthrene (PHE) and 17.8% of 10 mg/L pyrene (PYR) after 7 days, while in PHE-PYR mixture system, the biodegradation efficiencies of PHE (500 mg/L) and PYR (10 mg/L) reached 94.0% and 96.2%, respectively, since PHE served as co-metabolic substrate to have significantly improved PYR biodegradation. Notably, with the cooperation of biochar, the biodegradations of PHE and PYR were greatly accelerated. Further, biochar could reduce the adverse impact of heavy metals (Cd²⁺, Cu²⁺, Cr₂O₇^2?) on PYR biodegradation remarkably. The sequencing analysis revealed that Methylobacterium, Burkholderia and Stenotrophomonas were the dominant genera of QY1 in almost all treatments, indicating that these genera might play key roles in PAHs biodegradation. Overall, this study provided new insights into the efficient bioremediation of PAHs-contaminated site.     

龙岩市区大气飘尘中多环芳烃污染现状的调查

采用恒能量同步荧光法研究了龙岩市区不同功能区冬、春季大气飘尘中多环芳烃(PAHs)的污染状况和污染来源,并对不同功能区的PAHs进行了污染评价。结果表明,龙岩市区各功能区大气飘尘中PAHs总量在278.95～718.13ng/m3,且冬季高于春季。根据荧蒽与芘质量浓度比值,可判断冬春季市区内PAHs主要来源于汽车尾气和燃煤污染。采用苯并[a]芘(BaP)及苯并[a]芘等效致癌浓度(BaPE)来评价3个功能区大气飘尘中PAHs的污染状况,冬季3个功能区苯并[a]芘浓度均超过国家标准(BaP,10ng/m3),且PAHs基本上均严重超标。     

承德市PM2.5中多环芳烃的季节分布特征、来源解析及健康风险评价

为研究承德市PM_2.5中多环芳烃（PAHs）的季度变化特征和污染来源,于2019年的1、 4、 7和10月采集PM_2.5样品,采用气相色谱-质谱联用仪（GC-MS）测定了16种PAHs的浓度,并利用时序变动、特征比值和正定矩阵因子模型（PMF）的方法,分析了各季节PAHs的浓度变动、组分特征和潜在污染源.此外,为评价PAHs对健康风险的影响,采用BaP毒性当量法(BaP_Teq)及增量终生致癌风险（ILCR）模型,并结合PAHs数据和PMF结果进行分析.结果表明,采样期间承德市PM_2.5中■的变化范围为2.7～246.4 ng·m^-3,呈现（136.8±52.1）ng·m^-3（冬季）>（70.3±36.7）ng·m^-3（秋季）>（24.7±17.4）ng·m^-3（春季）>（13.7±9.4）ng·m^-3（夏季）的显著季节特征.不同环数PAHs的浓度占总浓度的占比中,5～6环的...     

龙岩大气颗粒物中多环芳烃源识别及污染评价

采用恒能量同步荧光法,研究了龙岩市区不同功能区冬、春季大气颗粒物中多环芳烃(PAHs)的污染状况和污染来源,并对不同功能区的PAHs含量进行了评价. 结果表明:龙岩市区各功能区大气颗粒物中ρ(PAHs)为278.95～ 718.25 ng/m3,且冬季高于春季. 根据PAHs中一些特征标志物的比值,可判断冬、春季市区内PAHs主要来源于汽车尾气和燃煤污染. 采用苯并［a］芘(BaP)及苯并［a］芘等效致癌浓度(BaPE)来评价3个功能区大气颗粒物中PAHs的污染状况显示,冬季3个功能区苯并［a］芘含量(ρ(BaP))均超过国家标准(10 ng/m3),且ρ(PAHs)均严重超标.      

北京市某废弃焦化厂不同车间土壤中多环芳烃（PAHs）的分布特征及风险评价

以北京市某废弃焦化厂为研究对象,系统采集了6个车间0～4m深的26个土壤样本,利用GC/MS检测了U.S.EPA优控的16种多环芳烃(PAHs)的含量,分析了PAHs在焦化厂不同车间表层土壤的污染状况和深层土壤中的垂直分布特征并对土壤污染风险进行了评估.结果表明,1)该废弃焦化厂不同车间表层土壤(0～20cm)总PAHs(∑PAHs)的残留量介于672.8～144814.3ng·g-1之间;污染程度排序为:回收车间>老粗苯车间>焦油车间>炼焦车间>水处理车间>制气车间.2)该厂未受扰动的土壤样品显示PAHs主要聚集在表层土壤,并随着土壤深度的增加而迅速减少;其他样点由于土壤扰动,∑PAHs含量最大值出现在第三层土壤(80～180cm);该厂4m深底层土壤仍有高浓度PAHs,∑PAHs含量最高值出现在炼焦车间,达12953.1ng·g-1.3)焦化厂土壤PAHs污染主要集中在3环和4环的PAHs单体上,分别占到污染总量的51.3%和31.7%.4)根据Maliszewska-Kordybach的PAHs总量标准及加拿大土壤PAHs单体治理标准,该厂回收、老粗苯、焦油和炼焦车间表层和深层土壤PAHs含量均达到重污染水平,并对其周围土地带来较大风险,需要治理.     

Chemical composition and pheromonal function of the defensive secretions in the subtribe Stizopina (Coleptera, Tenebrionidae, Opatrini)

The chemical composition of the defensive secretions of 52 species from 15 genera of the tenebrionid subtribe Stizopina was analyzed. The secretions of all species contained 1,4-benzoquinones, 1-alkenes, and monoterpene hydrocarbons, only one species was lacking the latter. Methyl- and ethyl-1,4-benzoquinone were ubiquitous, mostly accompanied by smaller amounts of 1,4-benzoquinone as well as isopropyl- and propyl-1,4-benzoquinone. 1-Alkenes were dominated by 1-undecene with varying admixtures of other 1-alkenes. The monoterpene hydrocarbons always consisted of a mixture of α-pinene, camphene, β-pinene and limonene, but also p-cymene, α-terpinene or α-phellandrene were found in some species. Furthermore, some species synthesized additional compounds such as phenols, ketones, 2,5-dihydroxy-6-methylbenzoate, 2-hydroxy-4-methoxyacetophenone and naphthoquinones. Bioassays showed that the defensive secretion co-functioned as an aggregation pheromone in the subtribe Stizopina. All nine tested species from six genera were attracted to defensive secretion of Stizopina species, but they did not distinguish between defensive secretions of different Stizopina species. This lack of discrimination might be the initial step for the formation of interspecific aggregations and the evolution of cleptoparasitism within the Stizopina.     

区域高时空分辨率VOC天然源排放清单的建立

将中尺度气象模式MM5应用于估算VOC天然源排放的研究,建立了高时空分辨率VOC天然源排放清单的估算方法.根据方法需要,确定了我国部分树木排放异戊二烯和萜烯的标准排放因子,各植被类型排放各种VOC的标准排放因子,以及各植被类型季节平均的叶生物量密度.应用该方法估算了华南地区满足区域空气质量数值模拟要求的高时空分辨率VOC天然源排放清单.结果表明,华南地区夏季典型日的VOC天然源排放总量约1.12×10⁴t,VOC排放速率具有明显的时空分布,其中地理分布取决于植被类型及其分布,日变化规律则依赖于太阳辐射和温度的高低.并讨论了VOC天然源排放估算过程中误差的来源     

北京、东京、筑波大气中有机污染物组成研究

用低流量采样器及双层采样滤膜 (石英及固相萃取用C1 8膜 )采集了北京、东京和筑波三城市冬季 (1999年 1月 )大气颗粒物和大气气相物质 ,3个城市的共同特点是大气气相物质中含有很高浓度的苯环数 2～ 4的多环芳烃及碳数小于 2 0的正构烷烃 ,大气颗粒物中以 5～ 6个苯环多环芳烃为主。冬季正构烷烃没有明显的偶数碳数和奇数的区别。但是 ,北京大气气相物质和颗粒物中多环芳烃浓度明显高于东京和筑波 ,而且各正构烷烃及多环芳烃的浓度分布也与东京和筑波的不同 ,表明冬季大气中有机污染物来源不同。