北京市空气质量时间变化特点分析

本文以北京市为例,对北京市2000—2004年的空气质量日报（包括首要污染物,污染指数,空气质量级别以及空气质量状况等）进行分析研究,得出其年变化和月变化的特征以及中重度污染日的分布特征,结果表明,从2000年到2004年中,北京市2001年和2002年的污染颇为严重,其平均的污染指数为113和112。北京市一年中,冬季污染较为严重,尤其是12和1月两个月份,这与北京市的能源结构是密切相关的。2001年是中重度污染日最多的年份,为23天;中重度污染日持续天数最多的是8天,是在2002年4月份;中重度污染多发生在3月份、4月份以及11月份,北京市的首要污染物是可吸入颗粒物。     

蒙顶山茶区土壤重金属环境质量及土壤pH值现状评价

本文利用地球化学背景资料,采用单项污染指数法和内梅罗综合污染指数法,根据土壤环境质量标准(GB15618-1995)中的二级标准,以茶区11个地层为单元分别对土壤重金属环境质量及该区土壤pH值进行了地球化学评价。评价结果表明,研究区K2j、K1t、K2g1、K2g3和Q2五个地层土壤为清洁区;其余各地层土壤尚清洁。就各单指标指数来看,Cd元素对土壤污染指数作用最大。     

北京市6座垃圾填埋场地下水环境质量的模糊评价

以接纳北京市城八区生活垃圾的6座填埋场的渗滤液和地下水环境质量为研究对象,2006年对6座垃圾填埋场的渗滤液性质以及丰水期、平水期和枯水期的地下水质进行监测分析和模糊评价.除北神树垃圾填埋场渗滤液中的BODs和悬浮物含量2项指标合格外,所有垃圾填埋场渗滤液中的COD、铵态氮和粪大肠菌群指标均超过了GB 16889-1997三级标准.其中铵态氮和粪大肠菌群超标最为严重.应用模糊数学进行综合评价的结果表明,6座垃圾填埋场枯水期、丰水期和平水期的地下水质均不合格,且综合评价结果为很差的占95%以上.地下水中的主要污染物是总硬度,其次为大肠菌群.     

Heavy metals in rice and garden vegetables and their potential health risks to inhabitants in the vicinity of an industrial zone in Jiangsu, China

Contamination of soil and agricultural products by heavy metals resulting from rapid industrial development has caused major concern. In this study, we investigated heavy metal (Cu, Zn, Pb, Cr, Hg and Cd) concentrations in rice and garden vegetables, as well as in cultivated soils, in a rural-industrial developed region in southern Jiangsu, China, and estimated the potential health risks of metals to the inhabitants via consumption of locally produced rice and garden vegetables. A questionnaire-based survey on dietary consumption rates of foodstuffs showed that rice and vegetables accounted for 64% of total foodstuffs consumed, and over 60% of rice and vegetables were grown in the local region. Average concentrations of Cr, Cu, Zn, Cd, Hg and Pb were 0.75, 2.64, 12.00, 0.014, 0.006 and 0.054 mg/kg dw (dry weight) in rice and were 0.67, 1.18, 4.34, 0.011, 0.002 and 0.058 mg/kg fw (fresh weight) in garden vegetables, respectively. These values were all below the maximum allowable concentration in food in China except for Cr in vegetables. Leafy vegetables had higher metal concentrations than solanaceae vegetables. Average daily intake of Cr, Cu, Zn, Cd, Hg and Pb through the consumption of rice and garden vegetables were 5.66, 16.90, 74.21, 0.10, 0.04 and 0.43 μg/(kg·day), respectively. Although Hazard Quotient values of individual metals were all lower than 1, when all six metal intakes via self-planted rice and garden vegetables were combined, the Hazard Index value was close to 1. Potential health risks from exposure to heavy metals in self-planted rice and garden vegetables need more attention.     

北京市道路空气中NO_x现状监测及控制对策

通过对北京城市3种典型交通道路空气中NOx的时空变化监测发现,城市道路空气NOx中NO分担率主要集中在31.6%～81.1%,明显高于非交通道路中NO的分担率(3.0%～34.0%).其原因是NO主要来源于机动车尾气的排放.利用MOBILE软件计算了各类机动车排放的ρ(NOx),并相应地确定了影响交通道路中ρ(NOx)的敏感因素.据此提出了北京市交通道路空气中NOx若干控制措施,如控制车速、车型、油料等.     

北京市近郊区土壤砷累积特征

城市近郊区土地利用类型多元化,同时也承载着巨大环境压力,研究近郊区土壤污染特征对城市规划及发展有着重要意义.通过3 km×3 km网格布点,系统采样调查了北京市近郊区5～6环路之间167个样点的0～20 cm表层土壤样品中砷的含量,分析了城市近郊区土壤砷的累积特征.结果表明,北京市近郊区土壤砷含量为2.89～11.38 mg.kg-1,平均值为7.11mg.kg-1.平均值在90年代末的背景值调查数据的范围之内,但是各个分位数级别的值均小于80年代初的北京市土壤背景值调查数据.因子分析结果发现北京市近郊区土壤砷与来源于成土母质的Co、Mn和Ni元素一组.克里格插值得到的北京市近郊区土壤砷含量空间分布图表明,西北与东部及东南部分土壤砷含量较东北和西南部高,砷含量最高25%的土壤样点与点源污染有关,而砷含量最低25%的样点大多远离污染源.不同土地利用类型土壤砷的比较结果表明人类活动在一定程度上影响土壤中砷的累积,生活区与农田土壤砷含量相似且显著大于绿地和荒地.污染源对生活区和绿地与荒地土壤中砷的累积有显著影响,工厂区附近的土壤砷含量显著比远离工厂区和交通区的土壤高.因此,北京市近郊区土壤砷在整体空间分布上主要与成土母质有关,然而人类活动在一定程度上也显著增加了土壤砷的累积.     

北京城乡结合地空气中挥发性有机物健康风险评价

采用低温固体吸附采样,热脱附-气相色谱-质谱方法对北京城乡结合地空气中挥发性有机物（VOCs）进行了观测分析,并利用国际公认的健康风险评价四步法评价模型,对北京城乡结合地空气中挥发性有机物的健康风险进行了初步评价.结果表明,芳香族类的非致癌风险值在10-4～10-1数量级,卤代烃的非致癌风险值在10-4～10-5数量级,挥发性有机污染物的非致癌风险系数〈1,不会对暴露人群健康造成明显的非致癌危害.但苯的致癌指数较高（2.21×10-5）,超过了USEPA的建议值（1×10-6）,可能对人体健康造成潜在危害.在一年四季的健康风险中,冬季VOCs的健康风险最高,秋季次之,夏季最低.     

Particle number size distribution and new particle formation: New characteristics during the special pollution control period in Beijing

New particle formation is a key process in shaping the size distribution of aerosols in the atmosphere.We present here the measurement results of number and size distribution of aerosol particles (10-1...     

An air quality forecasting system in Beijing - Application to the study of dust storm events in China in May 2008

An air pollution forecast system, ARIA Regional, was implemented in 2007-2008 at the Beijing Municipality Environmental Monitoring Center, providing daily forecast of main pollutant concentrations. The chemistry-transport model CHIMERE was coupled with the dust emission model MB95 for restituting dust storm events in springtime so as to improve forecast results. Dust storm events were sporadic but could be extremely intense and then control air quality indexes close to the source areas but also far in the Beijing area. A dust episode having occurred at the end of May 2008 was analyzed in this article, and its impact of particulate matter on the Chinese air pollution index (API) was evaluated. Following our estimation, about 23 Tg of dust were emitted from source areas in Mongolia and in the Inner Mongolia of China, transporting towards southeast. This episode of dust storm influenced a large part of North China and East China, and also South Korea. The model result was then evaluated using satellite observations and in situ data. The simulated daily concentrations of total suspended particulate at 6:00 UTC had a similar spatial pattern with respect to OMI satellite aerosol index. Temporal evolution of dust plume was evaluated by comparing dust aerosol optical depth (AOD) calculated from the simulations with AOD derived from MODIS satellite products. Finally, the comparison of reported Chinese API in Beijing with API calculated from the simulation including dust emissions had showed the significant improvement of the model results taking into account mineral dust correctly.     

Characteristics and recent trends of sulfur dioxide at urban, rural, and background sites in North China: Effectiveness of control measures

SO₂ measurements made in recent years at sites in Beijing and its surrounding areas are performed to study the variations and trends of surface SO₂ at different types of sites in Northern China. The overall average concentrations of SO₂ are (16.8 ± 13.1) ppb, (14.8 ± 9.4) ppb, and (7.5 ± 4.0) ppb at China Meteorological Administration (CMA, Beijing urban area), Gucheng (GCH, relatively polluted rural area, 110 km to the southwest of Beijing urban area), and Shangdianzi (SDZ, clean background area, 100 km to the northeast of Beijing urban area), respectively. The SO₂ levels in winter (heating season) are 4-6 folds higher than those in summer. There are highly significant correlations among the daily means of SO₂ at different sites, indicating regional characteristics of SO₂ pollution. Diurnal patterns of surface SO₂ at all sites have a common feature with a daytime peak, which is probably caused by the downward mixing and/or the advection transport of SO₂-richer air over the North China Plain. The concentrations of SO₂ at CMA and GCH show highly significant downward trends (-4.4 ppb/yr for CMA and -2.4 ppb/yr for GCH), while a less significant trend (-0.3 ppb/yr) is identified in the data from SDZ, reflecting the character of SDZ as a regional atmospheric background site in North China. The SO₂ concentrations of all three sites show a significant decrease from period before to after the control measures for the 2008 Olympic Games, suggesting that the SO₂ pollution control has long-term effectiveness and benefits. In the post-Olympics period, the mean concentrations of SO₂ at CMA, GCH, and SDZ are (14.3 ± 11.0) ppb, (12.1 ± 7.7) ppb, and (7.5 ± 4.0) ppb, respectively, with reductions of 26%, 36%, and 13%, respectively, compared to the levels before. Detailed analysis shows that the differences of temperature, relative humidity, wind speed, and wind direction were not the dominant factors for the significant differences of SO₂ between the pre-Olympics and post-Olympics periods. By extracting the data being more representative of local or regional characteristics, a reduction of up to 40% for SO₂ in polluted areas and a reduction of 20% for regional SO₂ are obtained for the effect of control measures implemented for the Olympic Games.