BS-Ⅰ型乳液抑尘剂防治矿山运输路面扬尘

由2.0—5.0％乳化油、0.05％乳化剂和水制备而成的BS-Ⅰ型乳液抑尘剂,在山东铝厂矿山公司使用表明,一次喷洒0.8—2.0kg/m~2,能使砂土或砂石运输路面粉尘从9.6—33.3mg/m~3(平均19.5mg/m~3)。在10—15昼夜内降至10mg/m~3以下(平均4.3—5.8mg/m~3)。使用该抑尘剂,大大减轻了路面扬尘污染,同时降低了车辆磨损和油耗。乳液抑尘剂良好的防尘效果主要是由其自身的物理化学性质决定的。     

列车车厢内醛酮化合物的污染状况

建立了室内及公共场所空气中10种醛酮(甲醛、乙醛、丙烯醛、丙酮、丙醛、丁烯醛、丁醛、苯甲醛、环己酮、戊醛)的采集、前处理及分析方法,采样效率为92%～100%,回收率为91%～104%,检测限为0.26 ng/m³～0.82 ng/m³.调查评价了6辆列车车厢空气中醛酮的污染状况.结果表明,列车车厢空气中醛酮的总浓度为0.1591 mg/m³～0.2828 mg/m³,平均浓度为0.2330 mg/m³,其中甲醛、乙醛、丙酮的平均浓度分别为0.0922 mg/m³、0.0499 mg/m³、0.0580 mg/m³,占总平均浓度的42.6%、21.4%、24.9%.初步确定列车车厢空气中的醛酮化合物来自木制品和抽烟的混合源.乘客的醛酮吸入量约为0.043 mg/h～0.076 mg/h.     

2007年春节期间北京大气颗粒物中多环芳烃的污染特征

利用大流量颗粒物采样器分昼夜采集了2007年春节前后大气气溶胶中PM₁₀和PM_2.5样品，并采用气相色谱-质谱技术对PM_2.5样品中的多环芳烃进行了检测.春节期间大气颗粒物中PM₁₀和PM_2.5夜间平均质量浓度为232 μg·m^-3和132 μg·m^-3,分别高于白天的PM₁₀(194 μg·m^-3)和PM_2.5(107 μg·m^-3)；除夕后颗粒物日平均质量浓度为252.3 μg·m^-3 (PM₁₀)和123.8 μg·m^-3 (PM_2.5)，分别高于除夕前的166.7 μg·m^-3(PM₁₀)和106.8 μg·m^-3(PM_2.5)；同时夜间PM_2.5中多17种多环芳烃(PAHs)的总浓度都高于相应白天的总浓度，且除夕前多环芳烃日均总浓度为95.9 ng·m^-3，高于除夕后的58.9 ng·m^-3.结果表明，除了受一定的气象条件的影响外，大量燃放烟花爆竹会对大气颗粒物浓度有影响，但对大气中的多环芳烃影响不大，而春节期间工业及交通污染排放的减少削减了排放到大气中的PAHs.根据荧蒽/芘等比值指标判别北京PAHs主要以燃煤为主、交通为次的混合局地源污染.     

高寒草甸不同土地利用格局土壤CO2的释放量

分析高寒草甸不同土地利用格局下土壤CO₂的释放量大小表明,在植物生长季的5～9月,土壤CO₂释放量大小排序为:金露梅灌丛草甸(1871.40g/m²)＞矮嵩草草甸(1769.63g/m²)＞退化金露梅灌丛草甸(1495.60g/m²)＞退化矮嵩草草甸(1191.26g/m²);而在植物非生长季的10月到翌年4月,其土壤CO₂释放量大小与植物生长季略有差异,表现出矮嵩草草甸(661.46g/m²)＞金露梅灌丛草甸(550.90g/m²)＞退化矮嵩草草甸(502.50g/m²)＞退化金露梅灌丛草甸(384.50g/m²)的特点;全年内表现为矮嵩草草甸(2431.09g/m²)＞金露梅灌丛草甸(2422.30g/m²)＞退化金露梅灌丛草甸(1880.10g/m²)＞退化矮嵩草草甸(1694.06g/m²).高寒草甸地区不同土地利用格局土壤CO₂释放数量的差异及季节变化,不仅与各利用格局的土壤生物活性及土壤物理化学性状有关,而且与气象条件(特别是温度)及其土壤冬季冻结期长短关系极为密切.     

纳滤膜在洁霉素废水浓缩分离中的应用

考察了DLNF₂-30(0.24m²)、MPS-44(1.4m²) 2种卷式纳滤膜串联运行时对洁霉素废水中残余洁霉素的浓缩性能.实验结果表明,当进水中洁霉素浓度为200mg/L 时,对废水浓缩10～20倍后洁霉素浓度可浓缩至2000mg/L 以上,满足回用要求,浓缩时间为60～70h.在浓缩过程中,COD_Cr的截留率始终高于80%,洁霉素截留率始终高于90%,且洁霉素的回收率高于90%.     

北京铺装道路交通扬尘排放规律研究

根据对北京82条城区道路和56条郊区铺装道路路面尘负荷的监测,依据AP-42交通扬尘排放因子模型,针对道路类型、车流量、道路位置等研究了北京交通扬尘的排放规律,分析了2种确定路面尘负荷的方法.结果表明,北京城区快速路、主干道、次干道和支路路面尘负荷分别为：0.17、0.34、1.48和2.60 g/m²,北京郊区国道、省道、县道、乡级路和县城内城市道路路面尘负荷分别为：0.18、0.56、1.58、3.10和1.58 g/m²;根据路面尘负荷与车流量及道路类型的相关性分析,在城区利用尘负荷与车流量的关系式对尘负荷进行赋值相关性较好,在郊区利用不同类型道路尘负荷平均值对道路尘负荷进行赋值相关性较好;路面尘负荷及排放因子随着车流量的增大而降低,而交通扬尘PM₁₀排放强度随车流量的增大而增强;城区主干道交通扬尘排放PM₁₀强度最大为130.2 kg/(km·d),郊区国道交通扬尘PM₁₀排放强度最大为43.8 kg/(km·d).     

成都城区PM2.5季节污染特征及来源解析

于2009—2010年各季节典型月在成都城区采集了大气PM_2.5样品,对PM_2.5的质量浓度及其主要化学成分(含碳组分、水溶性无机离子和元素)进行了测定. 结果显示:成都城区PM_2.5平均质量浓度高达(165.1±85.1)μg·m^-3,是国家环境空气质量标准年均PM_2.5限值的4.7倍. OC、EC和水溶性二次离子(SO₄^2-,NO₃^-和NH₄⁺)的平均浓度分别为(22.6±10.2)μg·m^-3,(9.0±5.4)μg·m^-3和(62.8±44.3)μg·m^-3,分别占PM_2.5浓度的13.7%、5.5%和38.0%. PM_2.5及其主要化学成分浓度季节特征明显,即秋冬季高于春夏季. 利用正交矩阵因子分析(PMF)对成都城区PM_2.5的来源进行解析,结果表明,土壤尘及扬尘、生物质燃烧、机动车源和二次硝酸盐/硫酸盐的贡献率分别为14.3%、28.0%、24.0%和31.3%. 就季节变化而言,生物质燃烧源贡献率在四个季节均维持在较高水平;土壤尘及扬尘的贡献率在春季显著提高;机动车源的贡献率在夏季中表现突出;而二次硝酸盐/硫酸盐的贡献率在秋冬季中则最为显著.     

Volatile organic compounds concentration profiles and control strategy in container manufacturing industry: Case studies in China

Volatile organic compounds (VOCs), important precursors of ozone (O₃) and fine particulate matter (PM_2.5), are the key to curb the momentum of O₃ growth and further reducing PM_2.5 in China. Container manufacturing industry is one of the major VOC emitters, and more than 96% containers of the world are produced in China, with the annual usage of coatings of over 200,000 tons in recent years. This is the first research on the emission characteristics of VOCs in Chinese container manufacturing industry, including concentration and ozone formation potential (OFP) of each species. The result shows that the largest amounts of VOCs are emitted during the pretreatment process, followed by the paint mixing process and primer painting process, and finally other sprays process. The average VOC concentrations in the workshops, the exhausts before treatment and the exhausts after treatment are ranging from 82.67–797.46 , 170–1,812.65 , 66.20–349.63 mg/m³, respectively. Benzenes, alcohols and ethers are main species, which contribute more than 90% OFP together. Based on the emission characteristics of VOCs and the technical feasibility, it is recommended to set the emission limit in standard of benzene to 1.0 mg/m³, toluene to 10 mg/m³, xylene to 20 mg/m³, benzenes to 40 mg/m³, alcohols and ethers to 50 mg/m³, and VOCs to 100 mg/m³. The study reports the industry emission characteristics and discusses the standard limits, which is a powerful support to promote VOCs emission reduction, and to promote the coordinated control of PM_2.5 and O₃ pollution.     

Seasonal trend of ambient PCDD/Fs in Tianjin City, northern China using active sampling strategy

The spatial concentrations, seasonal trends, profiles and congener pairs of ambient polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) were investigated within a seasonally active sampling scheme during Jun 2008 and Jan 2009 in Tianjin City, northern China. The PCDD/F concentrations ranged 14.2-172 fg I-TEQ/m³ (average 69.3 fg I-TEQ/m³) in summer and (89.8-1.01) × 10³ fg I-TEQ/m³ (average 509 fg I-TEQ/m³) in winter, respectively, except for the E-waste dismantling site where much higher values were observed (1.04 × 10³ fg I-TEQ/m³ in summer and 7.123 × 10³ fg I-TEQ/m³ in winter). The results indicated a significantly seasonal trend with higher TEQ values in winter as compared with summer, which could be related to increased emission sources and seasonal variations of the atmospheric boundary layer height. 2,3,4,7,8-PeCDF was the dominant contributor to the total PCDD/F toxic equivalents, and 2,3,7,8-TCDD was detected at almost all the sampling sites in winter. Most of the similarly substituted PCDD/F congener pairs exhibited high correlations, suggesting that they might have similar environmental fate or sources. But different seasonal and spatial distributions of PCDD/F concentrations indicated that the emission sources might be intermittent.     

北京市大气颗粒物中多环芳烃(PAHs)污染特征

对北京市2003-09～2004-07的10个月空气中的TSP样品进行了连续采样,周期为1次/周.分析了15种3～7环的PAHs,其中以4～5环为主.∑PAHs浓度及BaP的最大值分别达到705 ng/m³和52 ng/m³;春夏秋冬4季∑PAHs的平均浓度分别为46 ng/m³,16 ng/m³,52 ng/m³,268 ng/m³;BaP的4季平均浓度分别为2.8ng/m³,0.23 ng/m³,3.3 ng/m³,16ng/m³;采暖期∑PAHs平均浓度为非采暖期的9.5倍.在所分析的3种气象条件中,降水能够明显降低PAHs的浓度;非采暖期的PAHs浓度随温度的升高而降低,采暖期的浓度与温度没有明显的相关性;采暖期风速水平的增加会导致PAHs浓度的下降,而非采暖期不同环数的PAHs和风速水平的关系各异,3环的PAHs浓度随风速水平增加而增加,4、5环的PAHs浓度变化不大,6、7环PAHs随风速水平的增加而浓度下降.     

扬州市PM2.5中重金属来源及潜在健康风险评估

本研究利用正定矩阵因子分解模型(PMF)-健康风险评价模型(HMHR)探究了扬州市细颗粒物(PM_(2.5))中重金属污染来源及不同污染源对重金属潜在健康风险值的贡献.结果表明,各重金属全年浓度均值为Pb(64. 4 ng·m~(-3)) Cr(25. 24ng·m~(-3)) As(6. 36 ng·m~(-3)) Ni(5. 36 ng·m~(-3)) Cd(3. 34 ng·m~(-3)) Co(1. 21 ng·m~(-3));各污染源对PM_(2.5)贡献分别为二次源(37. 7%)燃煤源(19. 4%)扬尘(17. 5%)机动车(16. 9%)建筑尘(5. 2%)工业源(3. 4%). As主要源于燃煤、机动车和扬尘; Co主要源于工业源;燃煤源对Pb的浓度贡献较高;工业源对Ni、Cd含量的贡献最高.不同污染源的健康风险依次为扬尘源、燃煤源、机动车、工业源、建筑尘.扬尘源和燃煤源的潜在健康风险较其他污染源为高,与其源谱中重金属元素占比较大且对PM_(2.5)贡献浓度较高有关.     

Dry deposition of PM10 over the Yellow Sea during Asian dust events from 2001 to 2007

Dry deposition velocities and fluxes of PM10during Asian dust events over the Yellow Sea from 2001 to 2007 were investigated using observation data in Qingdao, China and Jeju, Korea. The dry deposition velocities of PM10 during dust events over the Yellow Sea ranged from 0.19 to 8.17 cm/sec, with an average of 3.38 cm/sec. Dry deposition fluxes of PM10during dust events over the Yellow Sea were in the range of 68.5–2647.1 mg/(m2·day), with an average of 545.4 mg/(m2·day), which is 2–10 times higher than those reported by other studies for both dust and non-dust periods. It was estimated that 2.6 × 1011–48.7 × 1011g dust particles deposit to the Yellow Sea during dust events through dry deposition every year. Compared with the results in previous studies, it was found that the dry deposition of PM10over the Yellow Sea during dust events in the years with high frequency of dust could account for a large or overwhelming fraction of the annual total dry deposition. Backward air mass trajectory analysis showed that dust events influenced Jeju mainly originated from the desert regions located in Mongolia and Inner Mongolia, China. There were 119 backward trajectories influenced both Qingdao and Jeju during 15 dust events from 2001 to 2007, accounting for 61.3% of the total trajectories of 194, indicating that Qingdao and Jeju were usually on the same pathway of dust transport downwind from source areas.     

农村村落地表灰尘磁化率特征及环境意义——以商丘市毛堌堆镇为例

通过对商丘市毛堌堆镇若干村落地表灰尘磁化率进行测试,对比自然村落和集聚村落地表灰尘磁化率、集聚村落与城市地表灰尘磁化率,以及探究集聚村落内部地表灰尘磁化率差异,定量研究农村村落的地表灰尘磁化率特征。结果表明:灰尘磁化率(Xlf)变幅为50.12×10~(-8)~266.97×10~(-8) m~3/kg,平均值为115.51×10~(-8) m~3/kg;频率磁化率(Xfd%)变幅为0.93%~5.97%,平均值为2.73%;磁化率与频率磁化率呈负相关关系,表明地表灰尘磁化率升高主要受人为活动影响;集聚村落地表灰尘磁化率大于自然村落但小于城市;集聚村落中心地表灰尘磁化率大于外围;灰尘磁化率值与村落规模呈正相关。农村地表灰尘磁化率可以揭示各农村村落地表灰尘污染状况。     

Eolian Dust Affects Phytoplankton in the Waters off Kuwait, the Arabian Gulf

 Summer phytoplankton assemblages from surface waters off Kuwait were enriched with levels of eolian dust (10⁵, 10⁶, and 10⁷ mg/m³), similar to seasonal dust fallout for this region. Algal growth was positive and dose dependent. Highest biomass was up to 527 μg chlorophyll a/l on day 5. The maximum doublings of biomass per day were 0.64, 0.77, and 1.42, corresponding to 10⁵, 10⁶, and 10⁷ mg/m³ enrichment and were significantly higher than the 0.56 for control. Changes in the phytoplankton species composition occurred with changes in biomass, with small algae dominating peak populations. It is suggested that through enrichment of trace elements via eolian dust, a high level of phytoplankton biomass and growth can be sustained in this arid environment. Received: 15 October / Accepted in revised form: 16 June 1999     

金华市街道灰尘磁化率时空变化研究

对不同时空条件下的金华市二环以内的街道灰尘样品的磁化率进行了研究.结果表明,金华市街道灰尘磁化率均值349.67×10-8 m3/kg,冬、春、夏各个季节的平均值:322.55×10-8 m3/kg、358.16×10-8 m3/kg和368.31×10-8 m3/kg,指示了其均具有磁性增强效应,且其值相近;春、夏两个季节街道灰尘磁化率的高值区分布结构相似,模型参数分析表明,区域因素为影响其值的主因;街道灰尘磁化率高值区与城区工业区大体吻合分布,工业区是主要的区域因素。     

钢铁行业典型烧结机污染物排放特征对比研究

钢铁工业排放是引起空气污染的重要原因之一,烧结工序又是钢铁行业中的排放大户.鉴于此,选取了一台工艺相对落后但仍在我国中西部地区大量存在的90 m2小型步进式烧结机和一台工艺较为先进的450 m2大型带式烧结机,对两台烧结机不同点位的SO₂、NO_x、颗粒物以及烟气Hg等进行实测,并对颗粒物中的元素、水溶性离子、OC和EC进行分析,从而获取不同技术水平、不同污控措施下烧结机污染物排放特征以及与2019年生态环境部办公厅印发的《关于推进实施钢铁行业超低排放的意见》中的超低排放限值之间的差距.结果表明:①烧结机头SO₂、NO_x、CO、颗粒物和烟气Hg排放浓度分别为54.69~123.04 mg/m3、187.28~312.58 mg/m3、6 746.04~7 790.83 mg/m3、11.04~19.93 mg/m3和78.97~2 537.07 ng/m3,烧结机尾颗粒物排放浓度为0.76~16.22 mg/m3,机头颗粒物以PM_2.5为主,占比为81.02%~91.49%,机尾颗粒物主要为PM₁₀,占比为71.17%~73.01%.烧结机头SO₂、NO_x、颗粒物以及烧结机尾颗粒物还需分别减排36.00%~71.55%、73.30%~84.00%、9.40%~49.82%和0~38.35%才能满足超低排放限值.②烧结颗粒物主要成分为K、Ca、Na、Mg、Fe、Cl-、SO₄2-、NH₄+、OC和EC等,其占比与烧结机类型、烧结原辅料以及污染物控制措施等因素有关,石灰石-石膏法脱硫后SO₄2-占比增加28.12%,活性炭移动床脱硫后EC占比增加2.15%.③布袋除尘器对烧结机不同粒径颗粒物和烟气Hg的脱除能力比双室五电场静电除尘器分别高出1.25%~5.06%和9.51%,活性炭移动床系统对烧结不同粒径颗粒物以及烟气Hg的去除效果分别比石灰石-石膏法脱硫系统高出9.40%~11.38%和4.31%.研究显示,不同工艺、不同污控措施烧结机大气污染物排放特征存在一定差异,SO₂、NO_x排放浓度与超低排放限值差距较大,烟尘排放浓度与超低排放限值差距较小.      

燃煤电厂可凝结颗粒物的测试与排放

建立了固定源可凝结颗粒物(condensable particulate matter,CPM)采样-分析方法,开发了CPM采样配件,与EPA Method202方法进行比对后应用于燃煤电厂.结果表明燃煤电厂CPM排放均值为(21.2±3.5)mg·m-3,同步使用国标方法测得的FPM为(20.6±10.0)mg·m-3;高效除尘器可有效降低FPM的排放水平,但对CPM无太大影响.高效除尘改造后CPM对TPM的贡献将有所提高,应引起足够的重视.CPM中冷凝液贡献了68%,滤膜为32%,有机组分较少,为1%.     

应用大型原状土柱渗漏计测定冬小麦-夏玉米轮作期硝态氮淋失

从 1998— 2 0 0 0年 ,利用土壤溶液提取器和大型原状土柱渗漏装置 (面积 0 18m2 ,2m深 )田间观测了北京地区冬小麦 夏玉米轮作期间的NO-3 N淋失 .设置对照和常量氮肥水平两个处理 .土柱渗出液的NO-3 N平均浓度 ,对照处理为 35 0mg L ,常量施氮土柱为 5 5 6mg L ;NO-3 N淋失通量 ,对照处理为 1 3g (m2 ·a) ,常量施氮土柱为 2 0g (m2 ·a) ;氮肥表观淋失百分数分别为 10 %、0 86 %和 0 5 4%,受年降雨变化的影响非常明显 .常量氮肥施用条件下 0— 2 0 0cm土壤提取液和土柱底部渗出液的NO-3 N浓度 ,都超过饮用水卫生标准 10mg L ,因此 ,常量施氮水平引起的硝态氮对浅层地下水的污染不容忽视 .     

孤东水库水体富营养化评价及其生态控制研究

对孤东水库水生物状况进行系统调查和水体富营养状态进行评价,在此基础上,提出了生态修复技术,通过理论计算与试验确定草食性和滤食性鱼类的投放量,并进行了围格试验.结果表明,孤东水库菹草优势度达80%,浮游植物量为22,32mg/L,单位面积上的总磷浓度是0.310 g/(m<'2>·a),水体处于富营养化状态,通过保持孤东水库鲢、鳙鱼的水体生物量在19-25 g/m<'3>左右,在9月藻类繁殖高峰期,生物量由14.6 mg/L降为3 mg/L.总磷、总氮和高锰酸盐指数年均值分别由生态控制前的0.06 mg/L、3.06 mg/L和4.42 mg/L降为0.03 mg/L、1.58 mg/L和3.73 mg/L,水库水质改善效果明显,同时下游水厂的单方水药耗也由生态控制前的42g/rn3降至25g/m<'3>.试验证明,通过采用合理投放草食性和滤食性鱼类的生态修复技术,可以有效控制水库富营养化状态,并取得显著的社会、经济效益.