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171.
Dongqi Wen Wenjuan Zhai Sheng Xiang Zhice Hu Tongchuan Wei 《Journal of the Air & Waste Management Association (1995)》2017,67(11):1229-1239
Determination of the effect of vehicle emissions on air quality near roadways is important because vehicles are a major source of air pollution. A near-roadway monitoring program was undertaken in Chicago between August 4 and October 30, 2014, to measure ultrafine particles, carbon dioxide, carbon monoxide, traffic volume and speed, and wind direction and speed. The objective of this study was to develop a method to relate short-term changes in traffic mode of operation to air quality near roadways using data averaged over 5-min intervals to provide a better understanding of the processes controlling air pollution concentrations near roadways. Three different types of data analysis are provided to demonstrate the type of results that can be obtained from a near-roadway sampling program based on 5-min measurements: (1) development of vehicle emission factors (EFs) for ultrafine particles as a function of vehicle mode of operation, (2) comparison of measured and modeled CO2 concentrations, and (3) application of dispersion models to determine concentrations near roadways. EFs for ultrafine particles are developed that are a function of traffic volume and mode of operation (free flow and congestion) for light-duty vehicles (LDVs) under real-world conditions. Two air quality models—CALINE4 (California Line Source Dispersion Model, version 4) and AERMOD (American Meteorological Society/U.S. Environmental Protection Agency Regulatory Model)—are used to predict the ultrafine particulate concentrations near roadways for comparison with measured concentrations. When using CALINE4 to predict air quality levels in the mixing cell, changes in surface roughness and stability class have no effect on the predicted concentrations. However, when using AERMOD to predict air quality in the mixing cell, changes in surface roughness have a significant impact on the predicted concentrations.
Implications: The paper provides emission factors (EFs) that are a function of traffic volume and mode of operation (free flow and congestion) for LDVs under real-world conditions. The good agreement between monitoring and modeling results indicates that high-resolution, simultaneous measurements of air quality and meteorological and traffic conditions can be used to determine real-world, fleet-wide vehicle EFs as a function of vehicle mode of operation under actual driving conditions. 相似文献
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海河水生生态系统的研究 总被引:6,自引:0,他引:6
本文以调查,分析海河浮游植物,浮游动物,水生维管束植物和大型底栖重托 要生物群落现实结构为主系,系统分析了海河水生生态系统状况,结果表明,水体污染已经对海河水生生态系统产生了明显的有害影响。 相似文献
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Xinwei Lu Loretta Y. Li Lijun Wang Kai Lei Jing Huang Yuxiang Zhai 《Atmospheric environment (Oxford, England : 1994)》2009,43(15):2489-2496
The physicochemical properties and the contamination levels of mercury and arsenic in roadway dust from Baoji, NW China were investigated using an Atomic Fluorescence Spectrophotometer. Contamination levels were assessed based on the geoaccumulation index and the enrichment factor. The results show that magnetic susceptibilities of roadway dust were higher than Holocene loess–soil of central Shaanxi Loess Plateau. The mean contents of organic matter, PM10 and PM100 were 8.8%, 21.8% and 98.6%, respectively. Mercury concentration ranged from 0.48 to 2.32 μg g?1, with a mean value of 1.11 μg g?1, 17.1 times the Chinese soil mercury background value and 37 times the Shaanxi soil mercury background value. Arsenic concentration ranged from 9.0 to 42.8 μg g?1, with a mean value of 19.8 μg g?1, 1.8 times the Chinese and Shaanxi soil arsenic background values. The geoaccumlation index and enrichment factor indicate that mercury in the dust mainly originated from anthropogenic sources with ratings of “strongly polluted” and “strongly to extremely polluted”, whereas arsenic in dust originated from both natural and anthropogenic sources, with a ratings of “moderately to strongly polluted” and “strongly polluted”. Industrial activities, such as a coal-fired power station, coke-oven plant, and cement manufacturing plant, augmented by vehicular traffic, are the anthropogenic sources of mercury and arsenic in the roadway dust. 相似文献
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阳离子聚丙烯酰胺-TiO2复配絮凝剂的合成及性能 总被引:1,自引:1,他引:0
以甲基丙烯酰氧乙基三甲基氯化铵(DMC)和丙烯酰胺(AM)为单体,K2S2O8-NaHSO3为引发剂,采用水溶液聚合法合成了阳离子聚丙烯酰胺P(DMC-AM),将表面处理后的纳米TiO2与P(DMC-AM)复配,得到P(DMC-AM)-TiO2复配絮凝剂.考察了原料配比、反应条件对P(DMC-AM)黏度的影响,结果表明:在m(DMC):m(AM)=0.18、引发剂加入量为0.5%(质量分数,下同)、聚合反应时间3 h、聚合溶液pH=4.0条件下,P(DMC-AM)絮凝剂的特性黏度最佳;纳米TiO2加入量为5%时,复配絮凝剂对酸性黑10B染料模拟废水的脱色性能最好. 相似文献
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