用因子分析法解析抚顺市大气颗粒物来源

用因子分析法对2002年7月在抚顺市望花、新华、东洲、站前、水库五个监测点采集的TSP颗粒物样品进行了污染源定性识别和定量分析。计算结果表明，对于颗粒物样品，主要污染物来源是土壤尘，燃煤飞灰，建筑水泥，对颗粒物的贡献达71.2％。其次是燃煤，燃油的贡献占20.0％，汽车尾气占6.0％。     

曝气生物活性炭滤池深度处理垃圾渗滤液的效能研究

为了考察曝气生物活性炭滤池(BACF)深度处理垃圾渗滤液的效能,研究了填料填充度、曝气位置、气水比、水力停留时间和p H等影响因素对滤池去除有机物、氨氮和总氮的影响。结果表明,最佳的工艺运行条件为:填料填充度为80%,底部曝气,气水比为3:1,水力停留时间为8 h,p H为7~8。在最佳工艺条件下运行反应器,COD、氨氮和TN平均去除率分别达到85%、90%和57%,出水可达到实验设定水质要求。BACF具有较强的抗有机负荷能力,进水COD浓度在323至3 000 mg/L之间时,COD去除率稳定在80%。反应器受氨氮冲击负荷影响较大,氨氮进水浓度低于90mg/L时,出水可达到要求。     

河流恶臭控制因子分析

浑河治理的成功为国内外其它同类河流的治理提供了成功经验,而治理过程中分析得出的河流恶臭控制因子具有普遍适用性,本文就河流恶臭控制因子进行了论述。     

沙尘暴对大连市空气质量影响的判别研究

利用二次因子分析法对大连市区5个大气自动监测点住所测的四种污染因子(CO、SO2、NOx、PM10)和风速(1997～2004年)资料数据进行分析,分析了当地污染排放累积和外来输送两种主要原因,对大连市空气质量的影响.通过进一步对CO、NOx、PM10因子得分之差(FS2-FS1)的分析,找出了适合确定沙尘暴对大连市空气质量影响的判据,即(FS2-FS1)>0     

Spatial distribution and source identification of wet deposition at remote EANET sites in Japan

Wet deposition of major ions was discussed from the viewpoint of its potential sources for six remote EANET sites in Japan (Rishiri, Happo, Oki, Ogasawara, Yusuhara, and Hedo) having sufficiently high data completeness during 2000–2004. The annual deposition for each site ranged from 12.1 to 46.6 meq m⁻² yr⁻¹ for nss-SO₄²⁻, from 5.0 to 21.9 meq m⁻² yr⁻¹ for NO₃⁻. The ranges of annual deposition of the two ions for the sites were lower than those for urban and rural sites in Japanese Acid Deposition Survey by Ministry of the Environment, Japan, and higher than those for global remote marine sites. Factor analysis was performed on log-transformed daily wet deposition of major ions for each site. The obtained two factors were interpreted as (1) acid and soil source (or acid source for some sites), and (2) sea-salt source for all the sites. This indicates that wet deposition of ions over the remote areas in Japan has a similar structure in terms of types of sources. Factor scores of acid and soil source were relatively high during Kosa (Asian dust) events in spring in western Japan. Back-trajectories for high-deposition episodes of acid and soil source (or acid source) for the remote sites showed that episodic air masses frequently came from the northeastern area of Asian Continent in spring and winter, and from central China in summer and autumn. This indicates a large contribution of continental emissions to wet deposition of ions over the remote areas in Japan.     

洋河水库水质主成分分析

自20世纪80年代以来,洋河水库每年夏季都爆发“水华”现象,水质不断恶化。为研究水库水体水质年变化情况,于2005年对水库5个采样点的叶绿素a(Chl-a)、总磷(TP)等12项水化学指标进行为期1年的监测。采用基于因子分析的主成分分析方法,将洋河水库水质参数概括为5个主要成分,并分析各个主成分的含义以及其月均值随时间的变化规律。最后结合空间数据,分析了5个主成分年均值的空间分布特征和意义。结果表明,南库区的水质要明显好于北库区。     

化工污泥中放射性核素226Ra，232Th 的辐射环境行为

目的以化工生产下游企业排放含重金属污泥中放射性核素的分布与含量为研究对象,考察工业生产末端随物料流下行的重金属及其中携带的放射性核素对环境的影响。方法在重金属排放较为显著的电池、电镀化工企业采集含重金属污泥进行分析研究。利用高纯锗(HPGe)γ能谱仪系统分析不同类别污泥中放射性核素~(228)Ac,~(~(212))Pb,~(~(212))Bi,~(208)Tl,~(214)Pb,~(214)Bi和40K的活度和含量,选用蒙特卡罗模型(Monte Carlo N Particle Transport Code)剂量转化因子计算化工企业污泥的年有效剂量率,通过计算富集因子得到放射性核素~(232)Th,~(~(226))Ra在化工污泥中的富集水平,通过皮尔森系数将测量得到污泥中Pb,Cr等重金属含量以及相应的~(232)Th含量或镭当量活度Ra_(eq)相互关联,分析其中的数学相关性。结果来自电池、电镀化工企业的污泥中放射性有效剂量率为44.8μSv·a~(-1)。放射性核素~(232)Th,~(~(226))Ra的富集因子(EF-Th和EF-Ra)数值范围分别为0.478~2.217和2.509~4.115,表明放射性核素~(232)Th在含铬污泥中存在富集,而~(~(226))Ra在污泥中均存在明显富集。皮尔森系数的分析显示,重金属元素Pb和Cr与Ra_(eq)的相关性可达到0.8以上,在监测工作中可利用污泥中Pb,Cr含量推算含重金属污泥的放射性水平。结论该研究工作对辐射环境的快捷监测和TENORM的评价均有实际应用价值。     

A comparison study of aerosol emissions sources in two receptor sites in Salvador (Brazil) city

Total suspended particles (TSP) and metal concentrations were determined in Salvador, Bahia, Brazil at two sites: a residential area and a residential‐commercial‐industrial neighborhood. The determined metals associated with atmospheric aerosols include Al, Ca, Cr, Cd, Fe, Mg, Mn, V, Zn and Na. Factor analysis was employed to identify the major atmospheric deposition sources. At one site the data were best represented by two sources: resuspended soil + marine aerosol and vehicular emissions, which represents 93% of the total system variance. In the second one the data were best represented by three sources: resuspended soil, metallurgy and building construction, which represents 79% of the total system variance.     

Source resolution and risk apportionment to augment the Bubble Policy: Application to a steel plant “bubble”

Source resolution and risk apportionment of emission source categories for risk reduction purposes can be used to enhance the Bubble Policy of the Clean Air Act. This is performed by incorporating receptor modeling techniques of factor analysis and chemical mass balances to assess noncarcinogenic and carcinogenic inhalation risks to a target population for certain pollutants coming from major emission source categories in a steel plant air shed. Source resolution, using factor analysis, statistically interprets a “source” from ambient data. By subsequently quantifying risks from identified metal emission sources using chemical mass balances and risk apportionment, a total additive risk from main source contributors in the steel plant is estimated. From this methodology, the Bubble Policy can be enhanced by targeting only main risk sources or by “risk-trading” with minor impact sources to reduce the total risk (if deemed significant) without arbitrarily reducing risk for all sources in an industrial source complex’s “bubble.”