园林绿化树种香樟叶片的含硫量动态分析

植物对一定浓度范围内的大气污染物,具有一定程度的抵抗及吸收净化作用。为了解南京市主要园林绿化树种香樟（Cinnamomum camphora）叶片吸收净化SO2的能力,选择在5个不同污染靶区,以3个不同胸径级的香樟叶片为研究对象,采用硫酸钡比浊法测定了不同季节香樟叶片的含硫量。结果表明：香樟叶片对SO2具有一定的吸收净化能力,其叶片含硫量平均为0.2160%,且其含量随分布区、生长季节及个体胸径不同差异显著;并与异域大气中SO2污染指数成一定的正相关;与个体胸径大小成显著负相关;季节间呈现出＂先降后升再降＂的动态趋势,于春秋季较高,而夏冬季较低。     

Air quality analysis and indexing of Kolkata city with respect to vertical floor heights and seasonal variation

Air pollution is one of the most important global environmental issues. Urban air quality is generally becoming vulnerable especially in the developing countries due to various developmental activities. Several national and international studies prove that air pollution is harmful to human health and its long term exposure contributes to even mortality. Current study has been designed to determine the vertical floor wise air quality status of the city of Kolkata and the seasonal variation of the pollutants during two consecutive years. Particulate matter (PM₁₀ and suspended particulate matter), oxides of nitrogen, sulfur dioxide and carbon monoxide were analyzed for a total number of 135 air quality samples throughout the study area and period. Pollutants were found positively correlated with each other and with the floor heights. According to the air quality indexing, all the places were found affected from moderate to severe air pollution irrespective of the vertical floor heights, seasons and places. Although, no such seasonal trend has been emerged from the study but the number of samples beyond standard is found highest during the winter season followed by pre-monsoon.     

济源市环境空气综合评价及防治对策

通过对济源市2006—2012年近7年空气污染物的监测数据按时间段进行统计,分析济源市7年间二氧化硫、二氧化氮、可吸入颗粒物浓度的年际和季节变化特征,并采用Spearman秩相关系数趋势检验对各项污染物浓度变化进行了趋势分析。结果表明:2006—2012年济源市二氧化硫、二氧化氮、可吸入颗粒物浓度呈不显著下降趋势,季节变化呈明显的季节特征,冬季污染较重,春夏污染较轻,最后提出相应的防治对策。     

太原市空气的SO2污染及树木的吸收净化

研究了太原市空气中SO2浓度的年际、月份和垂直变化规律．实验结果表明，夏季和秋季SO2浓度低，污染较轻，春季和冬季的SO2浓度大，污染重，沿垂直方向在1m高处的SO2浓度最大，7m高的位置SO2浓度明显降低，20m处更低．测试了银杏、白蜡和国槐3种绿化树种的枝条韧皮部和叶片的含硫量，其逐月变化规律说明这些树种对城市空气中的SO2具有很强的吸收能力，是城市绿化和净化污染的优良树种．结合树木的叶片容量和含硫量的关系，评价了它们净化污染的效益，结合SO2垂直变化规律提出立体绿化配置．图2表3参7     

Seasonal variations in physicochemical characteristics and cyanobacterial diversity of a lake in Northern India

Physicochemical analyses and cyanobacterial diversity of Ramgarh Lake water were performed at five sampling sites during winter, summer, and monsoon seasons. Higher load of solids, carbon, and nutrients were persistent throughout the analysis that indicates the conversion of lake from oligotrophic to eutrophic nature. High nutrients load enhanced cyanobacterial biomass, while low nutrients load produced relatively less biomass. The physicochemical parameters of water samples revealed minimum 2.9 mg L^?1 dissolved oxygen (DO) at site-1 during summer, while maximum (5.6 mg L^?1) at site-4 in monsoon season. Maximum biochemical oxygen demand (BOD) (40 mg L^?1) and chemical oxygen demand (COD) (126 mg L^?1) were recorded at site-1 during summer, whereas minimum BOD (18 mg L^?1) and COD (52 mg L^?1) were evident at site-3 in monsoon season. Minimum concentration of nitrate (0.72 mg L^?1) was recorded at site-3 in summer, whereas maximum 2.7 mg L^?1 was present at site-5 in winter season. The phosphate concentration was maximum (0.52 mg L^?1) at site-5 in summer, and minimum (0.18 mg L^?1) was observed at site-4 in monsoon season. Cyanobacterial diversity was higher during all the seasons, and dominated by the species of Microcystis at all the five sampling sites.     

基于PLS1的哈尔滨市PM2.5与空气污染物相关性分析

以往对PM2.5的研究多集中在气象因子或单一空气污染物对PM2.5质量浓度变化的影响,未考虑多种空气污染物对PM2.5质量浓度的协同作用。通过哈尔滨市环保局发布的2014年1月份（共31 d）市区内主要空气污染物SO2、NO2、PM10、CO、O3、PM2.5的质量浓度数据,运用相关性分析、PLS1和通径分析方法,研究哈尔滨市区内主要空气污染物对PM2.5质量浓度变化的直接影响、通过其他空气污染物的间接影响及污染物之间的协同作用。结果表明,SO2、NO2、PM10、CO 与 PM2.5质量浓度显著性相关,O3与 PM2.5质量浓度相关性不显著,SO2、NO2、PM10、CO 之间存在严重的复相关性。依据相关性分析结果,建立了SO2、NO2、PM10、CO对PM2.5质量浓度的PSL1模型,模型的拟合优度r2为0.852,模型拟合良好。对所建立的模型进行通径分析,结果显示,SO2、NO2、PM10、CO对PM2.5质量浓度变化的直接作用分别为0.005、-0.142、-0.140、1.191,CO对PM2.5质量浓度变化的直接影响作用最大。SO2、NO2、PM10通过CO对PM2.5质量浓度变化的间接作用分别为0.706、1.011、1.118均大于它们对PM2.5质量浓度变化的直接作用。SO2、NO2、PM10、CO对PM2.5质量浓度变化的总决定系数为85.9%。CO是主要空气污染物中影响PM2.5质量浓度变化的主要因素,降低冬季煤炭供暖期CO的排放量,有利于提高空气环境质量,降低对人体的健康危害。     

城市住区空气负离子浓度时空变化及空气质量评价--以合肥市为例

以夏热冬冷地区合肥市为研究区域,从建筑布局、空间形态、建筑密度、交通路网、植物绿化等方面综合考虑城市住区的不同环境特征,选择12个样点进行实地观测,于2013年8至2014年1月进行了空气离子浓度、风速、温度、相对湿度等指标的实地测定,并对数据进行筛选分析得出结果,空气负离子浓度随季节变化较为明显,夏季最高,平均浓度约为358/cm3,秋季次之,平均浓度约为338/cm3,冬季最低,平均浓度约为322/cm3。总体看来,上午9：00─10：00和下午14：30─15：30区间空气负离子浓度最高,上午10：30和下午16：00─16：30区间空气负离子浓度相对较低。②自由式布局和具有较明显开敞空间的测试样点空气负离子浓度较高。夏季样点9空气负离子浓度最高,平均浓度为815/cm3;秋季样点12空气负离子浓度最高,平均浓度约为483/cm3;冬季样点9空气负离子浓度最高,平均浓度约为407/cm3。最后运用单极系数和安培空气质量评价指数对住区空气质量进行评价,得出住区环境的空气清洁度以允许和清洁为主,等级多分布在D级和B级。根据这些结果和分析得出以下结论：在不同的季节,住区室外环境的空气负离子浓度变化较为明显,夏季最高,冬季最低。②影响城市住区空气负离子浓度最主要气象因子是风速、温度和相对湿度,其中风速和温度与空气负离子浓度呈现出正相关,而相对湿度则总体趋势不明确。③采取层次丰富的植物结构有利于提高环境的空气负离子浓度。④空气负离子浓度与空气清洁度有着密切关系,不同的环境特征下空气清洁度存在差异。⑤以空气负离子浓度为参考标准指导并优化住区建筑布局,不仅有利于提高住区人居环境质量评价工作的科学管理水平,同时对于提高居民的健康水平和营造健康舒适的居住环境具有重要的?     

广州市园林绿化植物苗木对二氧化硫和二氧化氮吸收能力分析

采用人工模拟熏气法,研究了36种广州市园林绿化植物对SO2和NO2气体吸收净化能力,以系统聚类分析方法为依据,将参试植物的吸收净化能力划分为强性、较强、中等、较弱及弱5个等级。结果显示,在不同SO2质量浓度（0.259和0.448 mg.m-3）环境下,黄槐、鸡冠刺桐、红花银桦、木棉、红千层、大花紫薇、复羽叶栾树吸收SO2能力具有强或较强的能力,而罗汉松、竹柏、深山含笑、乐昌含笑、观光木、樟树、阴香、双翼豆、印度紫檀、大花五桠果、长芒杜英、五月茶、海南蒲桃、芒果、海南红豆、糖胶树和幌伞枫吸收SO2能力表现为较弱或弱;在NO2质量浓度（0.149和0.428 mg.m-3）环境下,黄槐、黄葛榕、红花银桦、红千层、麻楝、复羽叶栾树、大花紫薇和小叶榄仁吸收净化NO2能力为较强或强,而深山含笑、五月茶、芒果、海南红豆、糖胶树和桂花叶片对NO2吸收能力表现为较弱或弱。在不同SO2和NO2浓度环境下,黄槐、红花银桦、红千层、复羽叶栾树和大花紫薇叶片对SO2和NO2吸收净化能力表现为强或较强,而深山含笑、五月茶、芒果、海南红豆、糖胶树叶片对SO2和NO2吸收净化能力为较弱或弱。研究结果为珠三角城市功能型园林植物选择和广东生态景观林带建设提供科学依据。     

广州市空气污染物和气象要素的主成分与典型相关分析

用主成分和典型相关分析方法分析广州市近4a(2001—2004年)的空气污染物与气象要素之间的关系,按夏半年、冬半年和全年3个时间尺度分别进行。结果表明:污染物数据所得到的主成分分别代表机动车污染源(汽油燃烧和扬尘)和工业污染源(工业燃煤和燃油),气象数据的主成分分析表明空气的温度、湿度及对流速度对空气污染作用明显,而污染物和气象要素的主成分分析表明气温高低和空气干湿程度对大气污染的影响较大。污染物与气象要素两组数据之间的典型相关分析表明污染物与气象要素之间存在显著的相关关系,其中温度和风速对气态污染物有显著影响。     

北京市不同区域大气气溶胶粒子中水溶性离子的特征

在北京市两个区域同时采集不同粒径的气溶胶粒子,利用离子色谱分析了样品中的水溶性无机离子组分．研究发现,城乡结合带采集的总水溶性离子浓度比郊区高．两地水溶性离子浓度有明显的季节变化趋势,SO4^2-浓度冬季最高,而夏季许多离子浓度普遍较低,NO3^-质量中值直径随季节变化有明显的不同．Na^ 浓度受地表植被影响较大．两地NO3^-,SO4^2-,NH4^ ,K^ 四种离子间的相关系数很好,可能是因为这些离子的来源相似．     

远距离输送作用对南京大气污染的影响

为了研究近地层大气污染物远程输送对于南京地区的影响,结合南京北郊观测点的观测资料,对2008—2009年南京地区气团的后向轨迹进行了聚类分析,结果表明：O3质量浓度分布呈双峰型,分别于5—6月和8—10月达到了高峰,两年共计有36 d质量浓度超过了国家环境空气质量标准二级标准,其中两次峰值期间占81%和83%。NO2和SO2在冬季较其他季节质量浓度高。到达南京气流轨迹以东部气团（占总数37%）为主。在东部气团影响下,南京周边地区近地层O3、NO2和SO2质量浓度分别为99.5、54.0和76.6μg.m-3,大气污染物质量浓度均较高。从后向轨迹分析认为,与气团途经并携带了重污染的长三角地区近地层排放的气体污染物有关。相对于其他来向的气团,东部气团对于南京地区近地层的影响更重要。     

“十一五”期间安庆市环境空气质量状况分析

根据安庆市环境空气质量监测数据,对＂十一五＂期间安庆市环境空气质量状况进行了分析,并与＂十五＂期间进行了比较。结果表明,＂十一五＂期间安庆市环境空气质量优良率总体呈下降态势,首要污染物主要为PM10,老城区的污染重于开发区。采暖期SO2及PM10的质量浓度高于其它月份,NO2测值随季节变化不明显,2009年起各种污染物浓度有所下降。与＂十五＂比较,＂十一五＂期间PM10的质量浓度大幅下降,SO2及NO2均有不同幅度的上升,环境空气质量优良率比＂十五＂略有下降。     

Pollution tolerance and distribution pattern of plants in surrounding area of coal-fired industries

Higher concentration of SO2 and particulate matters was reported in surrounding areas of coal-fired industries which influences the distribution pattern of plants. Sensitive plant species are abolished from such areas, however, only pollution tolerant species survive under stress conditions. The present study was designed to investigate the vegetation composition around coal-fired industries i.e. brick industries. To categorise plants as sensitive or resistant air pollution tolerance index (APTI) value was calculated. Out of 99 plants studied, Ricinus communis with APTI 81.10 was found to be the most resistant wild plant showing uniform distribution at all the polluted sites. On the other hand, Lepidium sativum with APTI 5.27 was recorded as the most sensitive plant and found to be present only at the less polluted sites.     

Platinum in PM2.5 of the metropolitan area of Mexico City

The increase in platinum (Pt) in the airborne particulate matter with size ≤2.5 µm (PM_2.5) in urban environments may be interpreted as result of the abrasion and deterioration of automobile catalyst. Nowadays, about four million vehicles in Mexico City use catalytic converters, which means that their impact should be considered. In order to evaluate the contribution of Pt to environmental pollution of the metropolitan area of Mexico City (MAMC), airborne PM_2.5 was collected at five different sites in the urban area (NW, NE, C, SW, SE) in 2011 during April (dry-warm season), August (rainy season) and December (dry-cold season). Analytical determinations were carried out using a ICP-MS with a collision cell and kinetic energy discrimination. The analytical and instrument performance was evaluated with standard road dust reference material (BCR-723). Median Pt concentration in the analyzed particulate was is 38.4 pg m^?3 (minimal value 1 pg m^?3 maximal value 79 pg m^?3). Obtained Pt concentrations are higher than those reported for other urban areas. Spatial variation shows that SW had Pt concentration significantly higher than NW and C only. Seasonal variation shows that Pt median was higher in rainy season than in both dry seasons. A comparison of these results with previously reported data of PM₁₀ from 1991 and 2003 in the same studied area shows a worrying increase in the concentration of Pt in the air environment of MAMC.     

Seasonal variations in abundance of nitrifying bacteria in fish pond ecosystem

Seasonal changes in abundance of nitrifiers (ammonia-oxidizing and nitrite-oxidizing bacteria) in surface and bottom water of freshwater ponds were examined with respect to temperature, DO, pH as well as concentration of ammonia and nitrite. The most probable number (MPN) of ammonia-oxidizers in different ponds varied from 1297 +/- 3.6 to 1673.23 +/- 0.36 ml(-1) in bottom and 720.5 +/- 8.1 to 955.3 +/- 10.8 ml(-1) in surface water during the rainy season while the MPN ranged from 1074 +/- 1.07 to 1372.17 +/- 4.6 ml(-1) in bottom and 515 +/- 10.1 to 678 +/- 11.8 ml(-1) in surface water in winter. However, the MPN were greatly reduced in summer and ranged from 435.05 +/- 15.7 to 547.54 +/- 2.12 ml(-1) in bottom and 218.7 +/- 7.3 to 368.4 +/- 9.32 ml(-1) in surface water. Similar seasonal trends were also observed in MPN of nitrite-oxidizers. Among all the physico-chemical parameters, abundance of nitrifiers was more positively correlated with ammonia and nitrite concentration in all the seasons. The abundance of nitrifiers in surface and bottom water was highest in rainy season followed by winter and modest in summer. The potential nitrification activities and oxidation rates were shown to be linear and activity of ammonia-oxidizing and nitrite-oxidizing bacteria was highest during rainy season.     

徐州市城市大气中的PAHs来源解析

采用化学质量平衡模型（CMB）对徐州市大气颗粒物中的多环芳烃（PAHs）进行来源分析,从而来确定各个源对大气的PAHs贡献值。主要通过利用大流量采样器配置PM10切割头在冬季和夏季对不同功能区,即生活区、工业区和旅游区采样大气中的可吸入颗粒物（PM10）样品,并用高效液相色谱法（HPLC）重点分析和研究了美国环保局（EPA）列出的16种PHAS优先污染物。研究结果表明：徐州市PM10污染比较严重,PM10污染质量浓度水平冬季是（288.81μg·m-3）大于夏季（276.34μg·m-3）,特别是工业区,污染数值达到393.13μg·m-3。夏季的总PAHs质量浓度为22.89 ng·m-3,分别是生活区28.35 ng·m-3、工业区21.75 ng·m-3和旅游区18.58 ng·m-3。冬季的总PAHs质量浓度为306.29 ng·m-3,分别是工业区388.03 ng·m-3、生活区276.29 ng·m-3和旅游区254.28 ng·m-3。夏季和冬季情况下,旅游区的污染相对来说都是最低的PM10中多环芳烃的源解析结果为,煤烟尘污染源的全年贡献率为64.00%,冬季煤烟尘污染源的贡献率为66.51%,夏季煤烟尘污染源的贡献率为57.21%,说明煤烟尘是PM10中多环芳烃的主要贡献源,土壤尘次之,全年贡献率为24.90%,冬季为25.48%,夏季为28.97%,因此,扬尘和烟煤尘的污染是徐州市的PM10中PAHs的最主要来源。     

北京西山国家森林公园中空气负离子浓度与气象因子的相关性研究

空气负离子(Negative air ions,NAI)是城市空气质量的重要指标之一,揭示城市森林释放NAI的影响机制,有助于充分利用NAI的净化作用及保健作用,并判断空气质量.利用北京西山国家森林公园2017年9月—2018年8月的NAI和气象数据,深入探究不同季节条件下和典型天气下影响空气负离子浓度(NAIC)的气...     

Correlation between the seasonal distribution of harbour porpoises and their prey in the Sound,Baltic Sea

Low densities of harbour porpoises in winter (November–March) and high densities in summer (April–October) were found in the Sound, connecting the Baltic Sea and Kattegat. Due to their high energy requirements, it is hypothesized that the density of harbour porpoises is related to local prey abundance. This was tested by examining the stomach content of 53 harbour porpoises collected between 1987 and 2010 in the Sound (high season, 34 porpoises; low season, 19 porpoises). A total of 1,442 individual fish specimens from thirteen species were identified. Twelve of these were present in the high–porpoise density season and seven in the low-density season. The distribution of occurrence and the distribution of number of fish species were different between seasons, indicating a shift in prey intake between seasons. Furthermore, during the high-density season, the mean and total prey weight per stomach as well as the prey species diversity was higher. However, no difference was found in the number of prey species between the two seasons, indicating a higher quality of prey in the high-density season. Atlantic cod was found to be the main prey species in terms of weight in the high-density season while Atlantic herring and Atlantic cod were equally important during the low-density season. Prey availability and predictability are suggested as the main drivers for harbour porpoise distribution, and this could be caused by the formation of frontal zones in spring in the northern part of the Sound, leading to prey concentrations in predictable areas.     

长春市大气中PM10污染特征分析

近年来,大气环境质量的不断恶化受到了人们广泛的关注。利用长春市的食品厂、客车厂、邮电学院、儿童公园、净月潭以及甩湾子等6个自动监测中心提供的2011年PM10、SO2与NO2小时质量浓度的连续监测数据,分析了长春市PM10质量浓度（MPM）的时空分布特征、不同污染物之间的相关性及其形成的原因。结果表明：从空间分布上看,6个采样点的MPM从高到低依次为食品厂〉儿童公园〉邮电学院〉客车厂〉净月潭〉甩湾子,其中除食品厂与儿童公园外均符合《环境空气质量标准》GB3095-1996的二级标准。从时间分布上看,绝大多数监测点位的冬季MPM是最高的,春季次之,主要是因为冬季采暖与春季沙尘天气,而夏季的MPM最低,主要是湿沉降作用所致。MPM逐日变化呈现出双峰双谷型分布,第一个峰值出现在早上7：00左右,其中最大值出现在5月份的早7：00左右,达到了0.223 mg·m-3,第1个峰值过后呈下降趋势,下午出现质量浓度低谷,其中最小值出现在11月份15：00左右,为0.036 mg·m-3,直到傍晚时缓慢回升,22：00左右达到第2个峰值。通过统计分析不同污染物之间的相关系数,得出PM10与NO2质量浓度的相关性显著,且较稳定,其原因可能是常年排放的机动车尾气尘影响较大,而PM10与SO2质量浓度的相关性不太稳定,这可能是冬季采暖排放的燃煤尘所致。     

Cluster analysis of inorganic elements in particulate matter in the air environment of an equatorial urban coastal location

Concentrations of nine inorganic elements (Na, Zn, Ca, Fe, Ni, Mn, Cu, Cd and Al) in particulate matter (PM₁₀) in the air of an equatorial urban coastal location during 2009 were studied during summer and winter monsoon seasons using high-volume sampling techniques. Atomic absorption spectrophotometry was used to analyse the samples. The concentrations of most inorganic elements were higher during summer than winter, except for Cu and Zn. The main inorganic elements in PM₁₀ are Na, Zn and Ca. High concentrations of Na and Ca are due to marine aerosols. Analysis of enrichment factors showed that inorganic elements are from non-crustal sources. Cluster analysis identified five clusters in the summer and six in the winter: (1) PM₁₀–Ni, (2) Zn–Na, (3) Fe–Cu–Ca–Cd, (4) Mn and (5) Al for summer; and (1) PM₁₀, (2) Zn, (3) Fe–Ni, (4) Cu–Ca–Na–Cd, (5) Mn and (6) Al for winter. Combining both correlation and cluster analysis, it was found that Fe–Cu–Cd was from industry/vehicle emissions, Zn was from resuspended soil, Mn was from metallurgical processes, Ni was from a nearby power plant and Al was from crustal sources. Inorganic element concentrations could be a good indicator of local sources of PM₁₀.