长三角地区民航飞机起飞着陆(LTO)循环大气污染物排放清单

通过调查收集长三角区域民航飞机构成、起落架次及发动机排放因子数据,以2017年为基准年,建立了长三角区域民航飞机起飞着陆(Land take-off, LTO)循环大气污染物排放清单.结果显示,2017年长三角区域民航飞机LTO循环NO_x、HC、CO、SO_2和PM年排放总量分别为16429.6、734.4、8234.3、1159.6和125.7 t.爬升阶段的NO_x、SO_2和PM排放贡献相对较高,分别达到47.2%、29.6%和36.2%,滑行阶段的HC和CO排放占比突出,分别达到95.4%和95.4%.从空间分布来看,长三角地区民航飞机LTO循环排放主要集中在上海浦东国际机场、上海虹桥机场、杭州萧山机场和南京禄口机场.从月分布来看,3—8月民航飞机LTO循环排放最为集中.从小时分布来看,上午7:00—9:00存在排放高峰,航班起落架次和边界层高度是决定LTO循环排放量的主要因素.为提升民航飞机大气污染物排放清单估算的准确度,建议在后续研究中加强对在用民航飞机大气污染物排放因子实测和实际活动水平的调查,以降低排放清单的不确定性.     

干旱区灰钙土和风沙土对Zn的吸附与解吸特性

以自然土壤灰钙土和风沙土作为试验供试土壤,研究了Zn在两种土壤样品中的吸附-解吸特性.结果表明:(1)当平衡液中Zn浓度较低时,土壤对Zn的吸附量随浓度的增加而增加,但增加速度较慢;平衡液中Zn浓度继续增加时,吸附量增加速率变大(曲线斜率逐渐增大),由于灰钙土有机质、碳酸钙、p H等高于风沙土,所以灰钙土对Zn的吸附量大于风沙土;(2)在实验设定的浓度范围内,Langmuir模型、Freundlich模型对实验数据的拟合线性相关均极显著,但总体来看Freundlich型吸附等温线方程适合描述土壤对Zn吸附过程;(3)两种土壤的高碳酸钙及有机质含量导致土壤吸附的Zn不容易被解吸,所以两种土壤的解吸量都很少,且灰钙土p H(8.65)大于风沙土(8.17),则风沙土解吸量大于灰钙土,土壤吸附Zn的解吸率与土壤Zn吸附能力呈反比,Zn在风沙土中的解吸率比灰钙土大,所以Zn在沙土的迁移和扩散的风险比灰钙土大,二次函数最为适合模拟土壤中Zn的吸附量与解吸量之间的关系,且随着Zn吸附量的增大,两种土壤对重金属Zn的解吸率均呈现出先增大后减小的趋势.     

高Cu、高Zn对白星花金龟幼虫的毒性作用

Cu(铜)和Zn(锌)是环境中最常见的重金属污染元素,为探究其对白星花金龟幼虫的毒性,采用滤纸接触法、人工土壤法和菌渣培养法研究了高Cu、高Zn对白星花金龟幼虫的生长及氧化胁迫效应。结果表明,滤纸接触法和人工土壤法中试验浓度Cu、Zn对白星花金龟幼虫死亡率无明显影响。菌渣培养法中虫体的取食抑制率和体重增长抑制率均与Cu、Zn浓度呈显著性正相关关系;Cu处理诱导了虫体可溶性蛋白含量的增加,抑制了SOD(超氧化物歧化酶)、GST(谷胱甘肽转移酶)的活性和MDA(丙二醛)的产生,对CAT(过氧化物酶)活性没有显著影响;Zn浓度为3 500和5 000 mg·kg-1的处理组可溶性蛋白含量被显著诱导、MDA含量被显著抑制,浓度为2 000和6 500 mg·kg-1处理组的SOD活性被激活(P0.05),Zn胁迫未对CAT、GST活性造成明显影响。表明Cu、Zn污染对白星花金龟幼虫生长具有毒性效应,在评价高浓度的重金属污染对虫体的毒性作用时,不能仅采用SOD、CAT、GST等指标作为标志物,需要综合其他指标进行分析。     

A2N双污泥反硝化除磷系统微生物的先间歇后连续培养及快速启动

以实际生活污水为对象,研究了反硝化聚磷菌(DPB)的驯化培养以及A2N双污泥反硝化除磷系统的快速启动.采用先独立培养反硝化聚磷菌和好氧硝化生物膜再连续运行的方式成功地快速启动了A2N系统.采用污水处理厂除磷工艺中的活性污泥为种泥,在SBR系统中以先A/O(厌氧,好氧)后A/A(厌氧,缺氧)的方式运行.32 d成功地使反硝化聚磷菌成为优势菌属.在SBR反应器中,采用硝化效果较好的活性污泥为种泥,好氧硝化生物膜30 d挂膜成功.氨氮去除率稳定在99%以上.然后.A2N系统连续运行,11d后系统反硝化除磷效果进入稳定状态,出水氨氮和正磷酸盐浓度均为O,硝态氮为10.26 mg/L,出水COD为19.56 mg/L,COD、氨氮、总氮和磷去除率分别为91%、100%、77%和100%,说明A:N系统具有很好的脱氮除磷效果,认为系统启动成功.     

The indirect relations of workplace incivility with emotional exhaustion and supportive behaviors via self‐blame: The moderating roles of observed incivility and trait emotional control

Drawing from the social cognitive theory of self‐regulation, we develop a model linking experienced incivility to emotional exhaustion and supportive behaviors via self‐blame, with observed incivility experienced by coworkers as a first‐stage moderator and trait emotional control as a second‐stage moderator. We contend that employees will experience self‐blame if they perceive themselves to be distinct targets of incivility (i.e., observed incivility experienced by others is low). Self‐blame can potentially trigger prosocial responses for improving the situation, but self‐blaming targets rarely respond in a prosocial manner because rational attempts to do so are thwarted by deleterious negative emotions accompanying self‐blame. We argue that trait emotional control provides resources for managing these negative emotions to unleash a bright side of self‐blame, such that the relation of self‐blame with prosocial responses (i.e., being supportive to coworkers) will be more positive and the relation of self‐blame with emotional exhaustion will be less positive for individuals with high (vs. low) trait emotional control. Multiwave data collected from a sample of 220 police officers largely support our hypotheses, indicating that the indirect relation of experienced incivility with supportive behaviors via self‐blame is strongest at lower levels of observed incivility and higher levels of emotional control.     

Determination of sources of fine particles in different ambient atmospheres in South Korea using a chemical mass balance model

Abstract

To determine the sources of particulate matter less than 2.5?μm (PM_2.5 in different ambient atmospheres (urban, roadside, industrial, and rural sites), the chemical components of PM_2.5 such as ions (Cl^-, NO₃^-, SO₄^2-, NH₄⁺, Na⁺, K⁺, Ca²⁺, and Mg²⁺), carbonaceous species, and elements (Al, As, Ba, Cd, Cu, Fe, Mn, Ni, Pb, Se, V, and Zn) were measured. The average mass concentrations of PM_2.5 at the urban, roadside, industrial, and rural sites were 31.5?±?14.8, 31.6?±?22.3, 31.4?±?16.0, and 25.8?±?12.4?μg/m³, respectively. Except for secondary ammonium sulfate and ammonium nitrate, the model results showed that the traffic source (i.e., the sum of gasoline and diesel vehicle sources) was the most dominant source of PM_2.5 (17.1%) followed by biomass burning (13.8%) at the urban site. The major primary sources of PM_2.5 were consistent with the site characteristics (diesel vehicle source at the roadside site, coal-fired plants at the industrial site, and biomass burning at the rural site). Seasonal data from the urban site suggested that ammonium sulfate and ammonium nitrate were the most dominant sources of PM_2.5 during all seasons. Further, the contribution of road dust source to PM_2.5 increased during spring and fall seasons. We conclude that the determination of the major PM_2.5 sources is useful for establishing efficient control strategies for PM_2.5 in different regions and seasons.     

Review of heterogeneous photochemical reactions of NOy on aerosol－A possible daytime source of nitrous acid (HONO) in the atmosphere

As an important precursor of hydroxyl radical, nitrous acid (HONO) plays a key role in the chemistry of the lower atmosphere. Recent atmospheric measurements and model calculations show strong enhancement for HONO formation during daytime, while they are inconsistent with the known sources in the atmosphere, suggesting that current models are lacking important sources for HONO. In this article, heterogeneous photochemical reactions of nitric acid/nitrate anion and nitrogen oxide on various aerosols were reviewed and their potential contribution to HONO formation was also discussed. It is demonstrated that HONO can be formed by photochemical reaction on surfaces with deposited HNO3 , by photocatalytic reaction of NO2 on TiO2 or TiO2 -containing materials, and by photochemical reaction of NO2 on soot, humic acids or other photosensitized organic surfaces. Although significant uncertainties still exist in the exact mechanisms and the yield of HONO, these additional sources might explain daytime observations in the atmosphere.     

焦化废水尾水O3氧化消除消毒副产物生成潜能的影响分析

焦化废水经生化处理后的尾水中含有多种溶解性有机物(DOM),可能成为消毒副产物的前体物,进而影响受纳水体下游给水厂的水质安全.因此,对焦化废水外排水(尾水)的消毒副产物生成潜能进行了分析,以实际焦化废水厂尾水为基质,采用气相色谱(GC)考察了O3氧化深度处理前后卤乙腈和三卤甲烷的生成潜能,并结合分子质量分布法和三维荧光光谱法分析了O3氧化处理尾水过程中前体物的转化规律.GC结果表明,焦化废水尾水各个分子质量范围的卤乙腈和三卤甲烷生成潜能分别达到1950.5～3965.1μg.L-1和1498.2～2571.2μg.L-1,表明工业废水排放之前需要考虑其对水体消毒副产物生成潜能的贡献.O3氧化作用可以实现尾水中消毒副产物前体物的削减,相同反应时间的条件下O3浓度越高其削减越有效.溶解性有机碳(DOC)及在254nm波长下的吸光度值(UV254)分析结果表明,O3氧化能部分矿化尾水中的有机物,并优先分解不饱和芳香性有机组分.分子质量和荧光光谱分析结果表明,O3氧化优先矿化小分子组分(<1kDa),并将尾水中大分子有机物分解为小分子(<1kDa),对活泼基团进行预氧化,从而实现氯消毒副产物生成潜能的削减.     

蚌埠市区酸雨污染特征分析及控制对策

利用2008年至2012年蚌埠市区降水监测数据,综合分析蚌埠市区酸雨污染时空、季节、化学组分的变化特征、变化趋势及其成因,致酸前体物、气象因素等与酸雨污染的关系,同时针对蚌埠市区酸雨污染提出几点治理措施和建议。     

2016年京津冀地区红色预警时段PM2.5污染特征与浓度控制效果

2016年12月京津冀地区发生一次重污染过程,北京和天津于12月16日20：00至12月21日24：00,河北省（除张家口、承德和秦皇岛）于12月16日00：00至12月22日18：00发布了重污染红色预警.为研究重污染过程与应急措施的控制效果,基于环境监测数据与模型模拟结果对本次重污染过程的污染物浓度、天气形势与气团输送、区域传输和减排效果进行了研究.本次重污染过程中各地市PM_2.5平均浓度均超过200 μg·m^-3,小时均值峰值为834.5 μg·m^-3.重污染期间气象条件非常不利于污染物扩散,低压控制与气团传输加剧了污染过程.各地市平均本地贡献为47.1%,受天气形势影响传输效果存在一定差异.本次红色预警期间京津冀地区PM_2.5浓度平均下降比例为27.6%,减排效果明显.如果提前实施重污染应急措施,可以使PM_2.5下降浓度有一定提升.提前2 d实施可以使PM_2.5浓度平均下降比例增加4.4%,提前3 d以上效果提升不明显.