北京市机动车排放遥感监测分析

机动车排放遥感监测反映实际道路行驶中的排放状况,对全面分析排放水平有很强的统计意义。北京市机动车排放遥感监测的CO、HC和NOx的平均浓度分别为1.94%、388×10-6和700×10-6。北京市机动车排放的CO、HC和NOx中50%分别来自于15.90%、13.98%、11.13%的高排放车,但某车辆对于一种污染物出现高排放并不意味着它对其他污染物也是高排放。根据遥感监测得到北京市轻型汽油车基于油耗的CO、HC和NOx平均尾气管排放因子分别为200.1g/L、11.05 g/L和6.68 g/L。     

各种影响因子对电解法预处理医药废水的影响研究

探讨了电解法预处理医药废水时停留时间、电解电压、废水初始浓度、温度和废水pH值等影响因子对去除色度、COD和提高废水可生化性等处理效果的影响，并考察了其应用于工业实际废水处理的可行性。实验结果表明：电解法更适合高浓度医药废水的处理，色度的去除率可达到90％以上；电解时间宜控制在40-60min；电解电压越高，废水COD和色度去除效果越好；在实验温度范围内，温度对色度和COD去除率的影响不大；废水pH值为7．5时电解效果最佳，工程运用宜控制在6—9之间。     

啤酒生产废水处理设计及运行研究

分析了年产15万t啤酒的生产废水情况,介绍了采用IC厌氧反应器-一体化氧化沟处理该生产废水(7 200 m3/d)的工艺路线和主要设计参数,讨论了废水处理系统的运行情况.其中IC厌氧反应器的HRT为8 h,运行温度为35～37 ℃;一体化氧化沟包括氧化沟段和沉淀池段,总尺寸为40 m×24 m×6 m.IC厌氧反应器COD容积负荷在7.78 kg/(m3·d)时,COD去除率为84%左右.整套废水处理系统的COD总去除率为98%左右,出水COD小于80 mg/L.厌氧所产生的沼气可用于废水的升温.     

排污收费对企业污染控制技术创新激励作用的研究

运用模型方法研究了排污收费和行政手段对企业污染控制技术创新的激励作用,为环境管理政策应用提供了理论依据。结果表明,无论对创新企业还是模拟企业,在“技术创新－创新扩散－最优啮合反应”的技术创新过程中,排污收费更能刺激企业的污染控制技术创新行为。     

石煤渣生产工业窑炉保温材料的工艺研究

以石煤渣为主要原料研制的工业窑炉保温材料，具有较高的耐压强度和较低的导热率。分析研究了保温材料在烧成工艺过程中的物理化学变化，同时通过试验确定了干燥和烧成过程的工艺参数，为石煤渣治理和综合利用开辟了一种新的途径。     

Determination of polycyclic musks in sewage sludge from Guangdong, China using GC-EI-MS

Polycyclic musks [Cashmeran (DPMI), Celestolide (ADBI), Phantolide (AHMI), Traseolide (ATII), Tonalide (AHTN) and Galaxolide (HHCB)] were Soxhlet extracted, separated and analyzed in sewage sludge from six different wastewater treatment plants from Guangdong, China, using GC and GC-EI-MS. DPMI, ADBI, HHCB, AHTN were found in all samples, and ATII was not found in any sample. AHMI was detected in five out of six samples. HHCB and AHTN were the two major polycyclic musks found in highest concentrations in sludge. The sludge from municipal wastewater treatment plants contained HHCB, AHTN and DPMI at concentrations between 5.416 and 21.214, 0.715 and 6.195 and 0.599 and 2.870 mg/kg (dry), respectively. The highest concentration was found in sludge from one cosmetic plant at 703.681 mg HHCB/kg (dry). The results indicate that there are two sources of polycyclic musks: domestic sewage and industrial wastewater.     

Gas- and particulate-phase specific tracer and toxic organic compounds in environmental tobacco smoke

Cigarette smoke constituents are worthy of concern and characterized as carcinogens. Different experiment conditions may affect the environmental tobacco smoke (ETS) constituents. A study was undertaken in a 75.5-m3 spare office to evaluate ETS constituents in a real environment. Thirty-four volatile organic compounds (VOCs) including three ETS tracers: nicotine, 2,5-dimethylfuran and 3-ethenylpyridine (3-EP), 19 carbonyl compounds, 54 semi-volatile compounds (24 polycyclic aromatic hydrocarbons (PAHs) and 30 alkanes) as well as CO and total particulate matter (TPM) from 15 leading commercial brands were determined. ETS constituents did not increase with increasing cigarette tar. ETS tracers nicotine and 3-EP were affected greatly due to more sorption and surface reactions in real world compared to other studies conducted in chamber, which resulted in 2-5 times lower. Benzene, toluene, ethylbenzene, xylenes, acrolein, 2-butanone and the high molecular weight compounds exhibited little affect. Pearson correlation analyses show that gas-phase and particulate-phase ETS tracers did not show significant correlation, but within each homologue many of compounds correlated significantly. Indole and cholesta-3,5-diene were also detected in ETS. These results may be useful in efforts to better understand the health effect of ETS exposure and source apportionment.     

Chlorinated and polycyclic aromatic hydrocarbons in riverine and estuarine sediments from Pearl River Delta, China

Spatial distribution of chlorinated hydrocarbons [chlorinated pesticides (CPs) and polychlorinated biphenyls (PCBs)] and polycyclic aromatic hydrocarbons (PAHs) was measured in riverine and estuarine sediment samples from Pearl River Delta, China, collected in 1997. Concentrations of CPs of the riverine sediment samples range from 12 to 158 ng/g, dry weight, while those of PCBs range from 11 to 486 ng/g. The CPs concentrations of the estuarine sediment samples are in the range 6-1658 ng/g, while concentrations of PCBs are in the range 10-339 ng/g. Total PAH concentration ranges from 1168 to 21,329 ng/g in the riverine sediment samples, whereas the PAH concentration ranges from 323 to 14,812 ng/g in the sediment samples of the Estuary. Sediment samples of the Zhujiang River and Macao harbor around the Estuary show the highest concentrations of CPs, PCBs, and PAHs. Possible factors affecting the distribution patterns are also discussed based on the usage history of the chemicals, hydrologic condition, and land erosion due to urbanization processes. The composition of PAHs is investigated and used to assess petrogenic, combustion and naturally derived PAHs of the sediment samples of the Pearl River Delta. In addition, the concentrations of a number of organic compounds of the Pearl River Delta samples indicate that sediments of the Zhujiang river and Macao harbor are most likely to pose biological impairment.     

Modeling traffic-related air pollution in street canyons of Beijing

It is important to develop a general model to accurately simulate the air pollution in urban street areas. In this paper, the Operational Street Pollution Model (OSPM) initially developed in Denmark is tested with measured data from a relatively wide and open street in Beijing. Major factors influencing the dispersion, such as emission factors, stationary source emissions, and solar radiation, are analyzed. Results show that the model can reflect the basic dispersion pattern in the street but gives systematically higher concentrations. After modifications to estimate street-level wind speed in the model, performance is obviously improved.     

Particulate matter pollution in Kunshan High-Tech zone: Source apportionment with trace elements, plume evolution and its monitoring

Particulate matter(PM) in the Kunshan High-Tech zone is studied during a three-month campaign. PM and trace elements are measured by the online pollution monitoring, forecastwarning and source term retrieval system AS3. Hourly measured concentrations of PM_(10), PM_(2.5) and 16 trace elements in the PM_(2.5) section(Ca, Pb, Cu, Cl, V, Cr, Fe, Ti, Mn, Ni, Zn, Ga, As, Se, Sr, Ba)are focused. Source apportionment of trace elements by Positive Matrix Factorization modeling indicates that there are five major sources, including dust, industrial processing, traffic,combustion, and sea salt with contribution rate of 23.68%, 21.66%, 14.30%, 22.03%, and 6.89%,respectively. Prediction of plume dispersion from concrete plant and traffic emissions shows that PM_(10) pollution of concrete plant is three orders of magnitude more than that of the traffic. The influence range can extend to more than 3 km in 1 hr. Because the footprint of the industrial plumes is constantly moving according to the local meteorological conditions, the fixed monitoring sites scattered in a few hundred meters haven't captured the heaviest pollution plume at the local scale of a few km~2. As a more intensive monitoring network is not operationally possible, the use of online modeling gives accurate and quantitative information of plume location, which increases the spatial pollution monitoring capacity and improves the understanding of measurement data. These results indicate that the development of the AS3 system, which combines monitoring equipment and air pollution modeling systems, is beneficial to the real-time pollution monitoring in the industrial zone.