苔藓植物大灰藓对大气中重金属元素的生态监测

采用苔藓植物大灰藓作为监测物种,考察Pb、Zn、Cu、Cd、Cr、Hg等6种重金属元素在大气中的分布情况,分析研究区域内各样点大灰藓和土壤中的6种重金属含量。结果表明,大灰藓中重金属含量依次为ZnPbCrCuCdHg,土壤中重金属含量依次为ZnPbCrCuHgCd。通过Kriging插值运算,得到6种重金属元素含量等值分布图,直观地体现了6种重金属元素的空间分布,说明大气重金属空间分布与区域产业类型及发展状况紧密相关。     

乌鲁木齐市供暖期大气颗粒物中重金属分布特征与化学形态分析

分析探讨了乌鲁木齐市采暖期大气颗粒物中TSP、PM_(10)和PM_(2.5)的含量,对颗粒物样品进行分级提取,测定Hg,As,Pb,Cd的存在形态。结果表明,不同区域中的重金属元素存在形态分布差别较大,不同粒径颗粒物中的重金属形态各不相同,质量分布亦有明显差异。     

南海中南部水域海水中重金属的分布特征

2010年秋季对我国南海部分海域进行调查,按照采样标准规范采集了16个站位不同水层的海水样品,采用附有ISIS进样系统的电感耦合等离子体质谱法直接测定了海水中痕量重金属Cr、Cu、Zn、As、Cd及Pb元素含量,考察了重金属在南海海水中分布状况;同时测定了海水样品的盐度、温度、pH、溶解有机碳(DOC)及溶解氧(DO),分析各项参数垂直分布变化规律及其与重金属的分布变化相关性。结果表明,南海海水中重金属含量较低,变化范围较小,除部分站位Pb元素外,重金属含量低于国家一类海水水质标准,不同站位间所有重金属总和分布没有明显差异性;重金属元素间分布变化趋势存在一定的相关性;盐度、温度、pH、DOC、DO与重金属分布变化存在着比较显著的相关性规律。     

南京市大气PM2.5中重金属分布特征及化学形态分析

于2017年1、4、7、10月在南京市主城区采集了大气PM2.5样品,用BCR法对PM_(2.5)中重金属进行连续提取,采用电感耦合等离子体-质谱法进行测定,分析重金属在颗粒物中不同形态和分布特征。结果表明,PM_(2.5)中9种重金属质量比排序为:Fe Zn Pb Mn Cu Cr As Ni Cd。Zn、Pb、Cd、Cu、Mn、As主要分布在弱酸提取态; Ni在弱酸提取态、可氧化态和残渣态中分布较均匀,占比26%～37%;而Fe、Cr主要以残渣态存在,分布比例分别为71%和54%。PM_(2.5)中Zn的生物有效性系数 0.8,属生物可利用性元素,表明其在环境中迁移能力最强,其余8种重金属生物有效性系数为0.2～0.8。     

广州地区秋冬季细颗粒物PM2.5化学组分分析

分析了广州地区2009年-2010年秋冬季节大气中PM2．5样品的水溶性离子、重金属元素、有机碳/元素碳（OC/EC）、多环芳烃质量浓度和粒径分布。初步掌握了广州地区秋冬季节大气中PM2．5的化学组分和特点，有机质（OM）是广州地区秋冬季PM2．5中最主要的成分，其次是硫酸根离子、硝酸根离子和铵根；PM2．5中有机碳和元素碳的空间分布特征相似，并受一次源排放影响；PM2．5中的重金属含量以铝、锌、铅相对较高，且城区高于城郊；PM2．5中17种多环芳烃、苯并（ a）芘（ BaP）的浓度均为城郊高于市区。     

太原市大气颗粒物中重金属的污染特征及来源解析

为了解太原市采暖期大气颗粒物不同粒径中重金属的污染特征及其来源,于2012年10月—2013年2月对环境空气中颗粒物采样,用原子吸收分光光度法测定样品中Fe、Pb、Cu、Ni、Cr、Cd、Mn、Zn等8种元素的含量。结果表明,太原市采暖期重金属浓度从高到低依次为FePbMnZnCrCuNiCd。重金属Pb、Mn、Zn、Ni、Cd主要富集在PM2.5中;Cr主要富集在PM10中;Cu主要富集在PM5中;Fe主要在粒径大于2.5μm的粗粒子中富集。除Zn外,其他7种元素浓度均表现为灰霾期采暖期采暖前。通过主因子分析表明,太原市大气颗粒物中重金属主要来源于冶金、有机合成工业、燃煤、汽车尾气、土壤尘等。     

乌鲁木齐采暖期TSP、PM10、PM5、PM2.5中重金属污染水平评价

采用石墨炉原子吸收分光光度法、双道原子荧光光谱法研究乌鲁木齐市采暖期前期与后期不同粒径大气颗粒物(TSP、PM_(10)、PM_5、PM_(2.5))中Hg、As、Zn、Pb、Ni等5种重金属元素的质量浓度,并对重金属污染水平进行评价。Hg质量浓度为0.3~5.7 ng/m3;As质量浓度为15.3~122.5 ng/m~3;Zn质量浓度为298.0~1 686.5 ng/m~3;Pb质量浓度为0.5~88.8 ng/m~3;Ni质量浓度为10.4~25.5 ng/m~3。Igeo计算得出采暖期后期的TSP、PM_(10)、PM_5、PM_(2.5)中各重金属Igeo值均高于采暖期前期,其中Hg元素为严重污染;富集因子分析得出Hg、Zn元素的EFi值大于10,说明这些元素是人为源贡献。通过研究乌鲁木齐市不同时期、不同粒径大气颗粒物中各种重金属污染状况,为乌鲁木齐大气污染治理提供科学支持。     

城市大气中颗粒物的研究现状及健康效应

综述了大气尘(TSP、PM10、PM2.5)的研究现状,重点围绕TSP、PM10、PM2.5的物理特征、化学组成(有机组成、重金属元素的总含量及其各化学形态分布)及其源解析进行描述,也提及了大气颗粒物与健康的关系.     

图们市区大气PM10中7种重金属的监测与分析

2007年6月至2008年3月分4个季节在图们市区利用大气综合采样器采集4个监测点位的大气PM₁₀样品,用硝酸-双氧水湿法消解,火焰原子吸收分光光度法检测样品中铬、锰、铁、铜、锌、镉、铅7种重金属含量,并对7种重金属元素的时空变化规律进行研究。结果表明:图们市大气PM₁₀中重金属含量由高到低的顺序是铁>锌>锰>铅>铬>铜>镉,铁的含量明显高于其他重金属含量。铅的年平均值为1.436 μg/m³,超出现行《环境空气质量标准》(GB 3095—1996)规定的浓度限值。重金属的季节性变化规律比较明显,冬季Cr、Cu、Zn、Pb的含量明显高于其他3个季节。区域性功能则不明显,在4个监测点位中7种重金属含量的变化不是很大。7种重金属含量年平均值的日变化规律也不是很明显,说明重金属来源除了天然源外,主要来自于煤和汽油燃烧过程中排放的飘尘。     

图们市大气颗粒物中重金属含量及分布特征

采集了图们市2006年秋、冬两季的TSP和PM10样品,采用湿法消解-原子吸收分光光度法测定了其中的铅、镉、饲、锌、铬、铁、锰7种重金属.结果表明,图们市大气颗粒物中重金属含量由高到低的顺序是Fe>Cr>Zn>Pb>Mn>Cu>Cd.多数重金属元素含量冬季高于秋季,在一天之内早晨的重金属浓度也往往高于晚上争中午,说明大气颗粒物的来源包括天然源和人为源.     

锅炉烟尘测试中锅炉负荷率的计算方法探讨

GB5468 -91规定 ,锅炉烟尘测试时 ,必须对锅炉的运行负荷进行测试 ,而实际监测过程中 ,许多锅炉房不具备测试的计量条件 ,为了解决这一问题 ,文章提出利用烟气量和空气过剩系数计算锅炉负荷率。在实际监测工作中 ,该方法方便、易于操作 ,所得结果和标准规定方法所得结果有很好的一致性     

城市空气质量周报效用分析

介绍了世界上一些发达国家的空气污染预报的做法和采取的措施，阐述了我国开展空气质量预报的方针和方法，指出了周报是预报的基础工作。叙述了我国空气质量周报的污染参数的选取、污染指数的分级及其浓度限值和污染指数计算及确定，分析并总结了开展城市空气质量周报所发挥的效用是提高公众的环保意识，加大了治理污染的力度，转变了环境监测的职能，促进了环境监测事业的发展     

水中总硬度测量不确定度的评定

采用EDTA滴定法测定水质总硬度的测量不确定度评定。充分考虑测量重复性、标准溶液的配制、滴定等过程对测量的影响,计算水中总硬度的测量相对合成标准不确定度为1·81×10-3。     

实验室质量管理体系内部审核的实施

在实施GB/T15481-2000 idt ISO/IEC17025:1999标准《检测和校准实验室能力的通用要求》的过程中,通过实验室质量管理体系内部审核的实践与系统分析,识别出内部审核实施阶段的关键环节,提出召开首次会议、收集审核证据、确定审核发现和召开末次会议的技术方法,对提高内部审核的质量和有效性、获得可靠的审核结论具有重要意义。     

“湖泛”恶臭物质分析及来源浅析

介绍了中国南方"湖泛"中的恶臭物质及检测情况,采用常规分析和气相色谱-质谱(GC-MS)对"湖泛"水样进行检测,认为"湖泛"恶臭物主要是氨和硫醚类物质。根据"湖泛"发生的时间及频次,结合南方地区农业水稻秧田的农药使用情况,推断氨基甲酸酯类农药的使用可能是"湖泛"发生的诱因。     

贵州黔东南州三板溪水库春季拟多甲藻水华特征

2011年3月13日对贵州省黔东南州三板溪水库进行春季浮游植物调查的结果表明,三板溪水库Ⅱ号采样点(下革东)发生以佩纳形拟多甲藻为优势种的拟多甲藻水华,细胞密度高达1.15×10⁷cell/L;板溪水库总氮的最低值为2.09 mg/L,总磷的最低值为0.95 mg/L,三板溪水库的总氮、总磷含量较丰富,不存在总氮或总磷是限制性因子;通过SPSS16.0统计软件分别进行Pearson 积距相关系数分析表明,氮磷比是三板溪水库发生拟多甲藻水华的主要影响原因。     

Environmental Assessment of the Impact of Ozone to the Neuston of the Sea-Surface Microlayer of the Gulf of Mexico

Substantial amounts of NOx (146 000 t/y) and total hydrocarbons (294 000 t/y) are released to the marine atmosphere by the large number of oil and gas operations over Federal waters of the Gulf of Mexico (GOM). Under appropriate meteorological conditions these emissions react to form ozone (0–54 g/m3 over-water) which can affect the marine environment. Using a dry deposition model, this work examines the amount of ozone derived from oil and gas offshore operations and deposited in the sea surface of the Gulf of Mexico, and assesses its impact on the neuston of the sea-surface microlayer. Surface integrated estimates of ozone deposited from oil and gas operations over the sea surface ranges from 400 kg to 1800 kg which results in sea surface concentrations of 15 g/m3. This estimate and the actual toxic ozone levels suggest no acute, toxic impacts to the neuston. However, indirect effects may occur through changes to the pelagic foodwebs and organic carbon pathways. Another potential pathway for ozone impacting the environment is through the production of bromate. Based on the concentrations and time scales (11–139 days) only sublethal effects appear to occur, but uncertainties associated with this assessment need to be further studied. From an ecological perspective, the environmental impacts and risks of NOx and VOC discharges from offshore platforms need to be assessed for neuston and other components of the marine ecosystem.     

Fractionation of heavy metals and assessment of contamination of the sediments of Lake Titicaca

Chemical weathering is one of the major geochemical processes that control the mobilization of heavy metals. The present study provides the first report on heavy metal fractionation in sediments (8–156 m) of Lake Titicaca (3,820 m a.s.l.), which is shared by the Republic of Peru and the Plurinational State of Bolivia. Both contents of total Cu, Fe, Ni, Co, Mn, Cd, Pb, and Zn and also the fractionation of these heavy metals associated with four different fractions have been determined following the BCR scheme. The principal component analysis suggests that Co, Ni, and Cd can be attributed to natural sources related to the mineralized geological formations. Moreover, the sources of Cu, Fe, and Mn are effluents and wastes generated from mining activities, while Pb and Zn also suggest that their common source is associated to mining activities. According to the Risk Assessment Code, there is a moderate to high risk related to Zn, Pb, Cd, Mn, Co, and Ni mobilization and/or remobilization from the bottom sediment to the water column. Furthermore, the Geoaccumulation Index and the Enrichment Factor reveal that Zn, Pb, and Cd are enriched in the sediments. The results suggest that the effluents from various traditional mining waste sites in both countries are the main source of heavy metal contamination in the sediments of Lake Titicaca.     

Evaluation of method of preparation of passive diffusion tubes for measurement of ambient nitrogen dioxide

This study was carried out in response to suggestions that the measurement of NO(2) by Palmes-type passive diffusion tubes (PDT) is affected by the method of preparation of the triethanolamine (TEA) absorbent coating on the grids. The following combinations of factors were investigated: TEA solvent (acetone or water), volume composition of TEA in solvent (50% or 20%), and grid coating method (dipping in solution prior to assembly or pipetting solution on after assembly). Duplicate PDTs prepared by each of the 8 methods were exposed in parallel, in urban air, for a total of 80 separate 1 week exposures. NO(2) concentrations derived from PDTs prepared by pipetting methods were significantly less precise than concentrations from dipping methods, with mean RSDs for duplicate measurements of 13.8% and 8.5%, respectively (n= 316 each category). Pipetting methods using solutions of 50% TEA composition were particularly imprecise (mean RSD 17.2%). Data from PDTs prepared by pipetting methods were systematically more poorly correlated with each other and with data from co-located chemiluminescence analysers, than corresponding data from PDTs prepared by dipping methods, indicating that more consistent accuracy was also obtained by the latter PDTs. The statistical evidence suggested that PDTs prepared by pipetting 50% TEA in water generally gave lower NO(2) concentrations. Although this is in agreement with a previous study, it is also possible that such an observation here may be a statistical artefact given the demonstrably poorer precision of this method. The general tendency of PDTs to show positive bias in NO(2) measurement in urban air in 1 week exposures was again evident in this study (mean biases at roadside and urban centre locations of +35% (n= 475) and +18% (n= 112), respectively) consistent with augmentation of within-tube NO(2) flux by chemical reaction between co-diffusing NO and O(3). Overall, it is recommended that the pipetting method of PDT grid preparation is avoided, or at least investigated further, because of the apparent degradation in precision and accuracy of NO(2) measurement. Potential reasons for the effect are discussed.     

Monitoring of the functioning of ecosystems

The theoretical basis, the content and the possible applications of the program Monitoring of ecosystems are considered. A functional definition of ecosystem is proposed, and some features of ecosystems are defined on this basis. The program Monitoring of ecosystems is visualized as a large-scale program of simple measurements of the rates of the main ecosystem processes. The expected results can be utilized in two ways: (1) a comparative knowledge of ecosystem functioning provides the fundamentals of geography of ecosystems, and (2) the constant, repeatable evaluation of a given ecosystem function provides a basis for its rational management.