民用燃料燃烧排放PM2.5和PM10中碳组分排放因子对比

在实验室中模拟民用燃料在家庭炉灶中的燃烧,应用稀释通道系统采集颗粒物,获得玉米秸秆、薪柴、蜂窝煤和块煤四种常用民用燃料燃烧排放PM10,PM2.5及载带碳组分的排放因子.结果表明,民用燃料燃烧排放的颗粒物以细颗粒为主, PM2.5占PM10的70%~90%.颗粒物排放因子最大的为块煤,其PM2.5和PM10的排放因子分别为9.837和11.929g/kg,分别是蜂窝煤的12.6和13.7倍;玉米秸秆和薪柴PM2.5和PM10的排放因子稍低于块煤,为7.359~10.444g/kg.4种燃料燃烧OC排放因子块煤最高,其在PM2.5和PM10中分别为5.29和5.19g/kg.薪柴燃烧EC的排放因子最高,其在PM2.5和PM10 中的排放因子分别为1.065和1.126g/kg.块煤两种粒径上EC的排放因子略低于薪柴.蜂窝煤EC的排放因子最低,比薪柴低300倍左右,玉米秸秆EC的排放因子也要比薪柴低10倍左右.碳组分是块煤,秸秆,薪柴排放颗粒物的主要成分,其含量在40%~60%之间,该值比蜂窝煤高3倍.四种燃料对应的OC/EC比值差异很大,薪柴和块煤燃烧排放颗粒该值为3~6,秸秆和蜂窝煤燃烧排放颗粒其值高达30~50.     

吸烟及吸二手烟对人体多环芳烃内暴露的影响

采用快速液相色谱-三重四级杆串联质谱仪对吸烟、吸二手烟和不吸烟的居民的尿样进行抽检,分析了10种多环芳烃羟基代谢物(OH-PAHs)的组成和含量,评估了吸烟及吸二手烟对人体OH-PAHs内暴露水平的影响.结果表明,吸烟及吸二手烟对居民尿液中OH-PAHs的浓度水平和组成特征均有影响,对萘和芴的代谢产物影响最为显著.OH-PAHs的浓度水平按照吸烟组>吸二手烟组>不吸烟组的顺序递减,吸烟组和吸二手烟组人群尿液中萘的代谢产物2-羟基萘和1-羟基萘所占的比例分别是不吸烟组人群的1.5、1.2倍和1.7、1.9倍;吸烟、吸二手烟和不吸烟人群体内各OH-PAHs之间的相关性分析表明,吸二手烟人群体内OH-PAHs来源最为复杂,受环境空气和香烟烟雾的双重影响.与同类研究结果相比,本研究吸二手烟人群体内OH-PAHs明显偏低,这可能与吸二手烟人群受到烟气的暴露时间和暴露量有关.     

Investigation on sampling artifacts of particle associated PAHs using ozone denuder systems

Polycyclic aromatic hydrocarbons （PAHs） are complex organic compounds which are identified as significant carcinogenic to human health. PAHs （mainly in particle phase） are susceptible to atmospheric oxidant gases, especially ozone, nitrogen oxides （NOx）, hydroxyl radical （OH）, and could be degraded on filters during sampling process, leading to an underestimation of ambient PAH concentrations. The goal of this work was to investigate particle associated PAHs sampling artifacts caused by ozone in summer of Beijing. Comparative sampling systems were operated simultaneously during the whole campaign, one with activated carbon ozone denuder, the other being set as conventional sampling system. Activated carbon denuder was testified to be highly efficient to eliminate ozone from air stream. In general, nine particle-bound PAHs observed from conventional sampler were all lower than those from ozone denuder system. The total PAHs （particle phase） concentration was averagely underestimated by 35.9% in conventional sampling procedure. Benzo[a]pyrene （BaP） had the highest percentage of mass loss. founded to have influences Ambient temperature was on PAHs sampling artifacts. High temperature can increase loss of particle associated PAHs during sampling.     

Employment of passive sampling in monitoring indoor air quality in selected residences in a Tri-city area in Poland

Time-weighted average concentrations of selected volatile compounds were measured in chosen residences in a Tri-City area of Poland by means of passive sampling. The results were compared to those obtained by dynamic technique – sorption tubes filled with Tenax TA sorbent. Results obtained by employing the two techniques were similar. Total volatile organic compound (TVOC) parameters were also determined. An attempt was also made to evaluate the influence of outdoor air pollutants on indoor air quality.     

罐采样与气相色谱/质谱结合在VOCs监测中的应用

气态挥发性有机物(VOCs)引起的污染严重威胁人们的健康,因而对其监测技术的研究也越来越多。其中罐采样与气相色谱/质谱联用的检测技术在VOCs气态污染物测定中的应用逐步受到关注。对罐采样技术进行了综述,重点介绍了罐采样与气相色谱/质谱联用技术在环境空气、室内空气、废气中VOCs检测的应用。     

Assessing citizen contributions to butterfly monitoring in two large cities

Citizen science may be especially effective in urban landscapes due to the large pool of potential volunteers. However, there have been few evaluations of the contributions of citizen scientists to knowledge of biological communities in and around cities. To assess the effectiveness of citizen scientists' monitoring of species in urban areas, we compared butterfly data collected over 10 years in Chicago, Illinois (U.S.A.), and New York City, New York (U.S.A.). The dates, locations, and methods of data collection in Chicago were standardized, whereas data from New York were collected at any location at any time. For each city, we evaluated whether the number of observers, observation days (days on which observations were reported), and sampling locations were associated with the reported proportion of the estimated regional pool of butterfly species. We also compared the number of volunteers, duration of volunteer involvement, and consistency of sampling efforts at individual locations within each city over time. From 2001 to 2010, there were 73 volunteers in Chicago and 89 in New York. During this period, volunteers observed 86% and 89% of the estimated number of butterfly species present in Chicago and New York, respectively. Volunteers in New York reported a greater proportion of the estimated pool of butterfly species per year. In addition, more species were observed per volunteer and observation day in New York, largely due to the unrestricted sampling season in New York. Chicago volunteers were active for more years and monitored individual locations more consistently over time than volunteers in New York. Differences in monitoring protocol--especially length of sampling season and selection protocol for monitoring locations--influenced the relationship between species accrual and sampling effort, which suggests these factors are important in volunteer-based species-monitoring programs.     

Acoustically detected year-round presence of right whales in an urbanized migration corridor

Species' conservation relies on understanding their seasonal habitats and migration routes. North Atlantic right whales (Eubalaena glacialis), listed as endangered under the U.S. Endangered Species Act, migrate from the southeastern U.S. coast to Cape Cod Bay, Massachusetts, a federally designated critical habitat, from February through May to feed. The whales then continue north across the Gulf of Maine to northern waters (e.g., Bay of Fundy). To enter Cape Cod Bay, right whales must traverse an area of dense shipping and fishing activity in Massachusetts Bay, where there are no mandatory regulations for the protection of right whales or management of their habitat. We used passive acoustic recordings of right whales collected in Massachusetts Bay from May 2007 through October 2010 to determine the annual spatial and temporal distribution of the whales and their calling activity. We detected right whales in the bay throughout the year, in contrast to results from visual surveys. Right whales were detected on at least 24% of days in each month, with the exception of June 2007, in which there were no detections. Averaged over all years, right whale calls were most abundant from February through May. During this period, calls were most frequent between 17:00 and 20:00 local time; no diel pattern was apparent in other months. The spatial distribution of the approximate locations of calling whales suggests they may use Massachusetts Bay as a conduit to Cape Cod Bay in the spring and as they move between the Gulf of Maine and waters to the south in September through December. Although it is unclear how dependent right whales are on the bay, the discovery of their widespread presence in Massachusetts Bay throughout the year suggests this region may need to be managed to reduce the probability of collisions with ships and entanglement in fishing gear.     

外部安防系统在海洋石油固定平台中的应用

为了弥补传统的海洋石油固定平台内部安防系统的不足,达到海洋石油固定平台全天候自动监测、自动报警、无人值守、主动防御、预防为主的目的,以便提早发现灾害或事故的苗头,提供及时报警,并采取适当的预防措施。根据主动防御、准确测报、防范未然和规避事故的原则方针,按区域警戒与要地防范相结合的方法,介绍了外部安防系统在海洋石油固定平台中的应用,包括六个子系统、工作流程、各个子系统在海洋石油固定平台中的应用以及特点和价值,从监控、应急、监管等多角度出发,实现了一体化的安全监控。     

基于入户调查的贵阳市生活燃煤排放清单

为准确掌握贵阳市生活燃煤大气污染物的排放状况,为南方山地城市大气污染防治工作提供科学依据,本研究于2017年对贵阳市生活燃煤情况开展了入户调查.据统计分析,2016—2018年贵阳市常住人口和生活煤炭消费量变化小.同时,采用排放系数法结合GIS技术,建立了贵阳市2016年1 km×1 km生活燃煤大气污染物排放清单.结果表明：①全市生活燃煤量约为55.9×10⁴ t,单位面积燃煤量为69.5 t·km^-2,不同区（市、县）生活燃煤量存在明显差异;从燃煤总量来看,开阳县最大,云岩区最小;从单位面积燃煤量来看,云岩区最大,息烽县最小.②全市生活燃煤PM₁₀、PM_2.5、SO₂、NO_x、VOCs、CO、OC、BC排放量分别为1230.5、783.0、6963.5、615.3、1006.8、39096.4、55.9、3.9 t,单位面积排放量分别为153.0、97.4、865.7、76.5、125.2、4860.7、7.0、0.5 kg·km^-2.③生活燃煤污染物排放量呈明显的季节性变化特征,冬季采暖季污染物的排放量远高于非采暖季.④在空间分布上,大气污染物排放主要集中在云岩区、南明区、白云区中南部,以及观山湖区东南部、乌当区西南部及花溪区东北部,这与居民生活区域基本呈一致性分布.⑤调查样本量覆盖了总家庭户数的1.5%,全市以煤炭为生活能源的住户占比约为38.1%,户均燃煤量为（1.158±0.010）t·a^-1,排放清单不确定性总体范围为-82.6%~201.0%.     

室内不同燃烧模式香烟污染的研究

香烟燃烧的主动吸烟、呼出烟雾、自由燃烧3种排放方式中,对一氧化碳CO、总挥发性有机物TVOC进行测定分析。自由燃烧模式较主动吸烟模式造成的CO和TVOC污染更高。对于室内环境的污染和被动吸烟者的危害,自由燃烧模式与呼出烟气模式的贡献比例CO和TVOC分别约为15/1和4/1。主动吸烟者吸入的烟气中CO和TVOC浓度可分别高达约10000mg/m3和800mg/m3,高出国家室内空气环境标准限量约1000倍,吸入的烟气中约有40%的CO通过肺部被人体吸收。