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441.
办公室内可吸入颗粒物污染初析 总被引:12,自引:0,他引:12
测定了普通办公室内空气中可吸入颗粒物的质量浓度,分析了粒径分布,并考察了吸烟对可吸入颗粒物污染的影响,研究表明,办公室内可吸入颗粒以细颗粒为主,PM〈7.0μm的颗粒物占95%以主,PM〈1.1μm的颗粒物占50 ̄70%,吸烟和室外大气可吸入颗粒物的污染是普通办公室内窃据中可吸入颗粒物污染的重要来源。 相似文献
442.
煤烟型大气污染是呼市大气污染的典型特征,能源结构调整是解决城市污染的根本出路,本文在试点工作的基础上,就呼市能源结构调整,电力利用的成效和存在的问题进行探讨。 相似文献
443.
Lassen C Hansen E Jensen AA Olendrzyński K Kołsut W Zurek J Kargulewicz I Debski B Skośkiewicz J Holtzer M Grochowalski A Brante E Poltimae H Kallaste T Kapturauskas J;Danish Cooperation for Environment in Eastern Europe 《Environmental science and pollution research international》2003,10(1):49-56
The present paper summarises the results of the project: 'Survey of Anthropogenic Sources of Dioxins and Furans in the Baltic Region'. As a part of the project, inventories have been carried out in Estonia, Latvia, Lithuania and Poland by applying the toolkit for quantification of dioxin and furan releases developed by UNEP Chemicals. The main route of direct releases to the environment is emission to air. Total emission to air from Poland was estimated at 490 (88-1,300) g I-TEQ/year, whereas the emissions from Estonia, Latvia and Lithuania were estimated as being 14 (2.4-54), 23 (2.6-63) and 17 (2.6-38) g I-TEQ, respectively. In general, the uncertainty on the estimates is very high, and recommendations regarding further development of the inventories have been made, and measures for reducing the releases have been provided. 相似文献
444.
Morse T 《Disasters》1983,7(4):276-282
This paper attempts to Illustrate some of the advantages and disadvantages of using contemporary evidence in the study of historical seismicity. The event considered here is doubly significant—it was a large event by British standards, as well as arguably the best documented earthquake to have occurred before the mid-eighteenth century. At a time when an interdisciplinary approach to historical seismicity is still in its infancy this paper identifies those areas where the available sources can assist in the evaluation of early macroseismic data. 相似文献
445.
浅谈汽车内空气污染来源及影响因素 总被引:1,自引:1,他引:0
随着中国社会经济的不断发展,人民生活水平的不断提高,汽车已逐渐成为人们日常生活中的一部分。然而在世界的范围内,汽车内的空气污染问题已越来越得到重视,但就国内的情况而言,汽车内的空气污染问题却没有随着汽车的普及而得到人们足够的认识。有见及此,本文指出了造成汽车内空气污染的几种主要污染来源及其有可能产生的危害,同时讲述了影响车内空气质量的几种主要因素,并就此给出了相关污染减轻的建议,希望籍此减少汽车内空气污染对人们健康的危害。 相似文献
446.
Lihui Zhang Hong Li Zhenhai Wu Weiqi Zhang Kankan Liu Xi Cheng Yujie Zhang Bin Li Yizhen Chen 《环境科学学报(英文版)》2020,32(9):190-200
Atmospheric volatile organic compounds (VOCs) were observed by an on-line gas chromatography-flame ionization detector monitoring system from November 2016 to August 2017 in Beijing. The average concentrations were winter (40.27 ± 25.25 μg/m3) > autumn (34.25 ± 19.90 µg/m3) > summer (32.53 ± 17.39 µg/m3) > spring (24.72 ± 17.22 µg/m3). Although benzene (15.70%), propane (11.02%), ethane (9.32%) and n-butane (6.77%) were the most abundant species, ethylene (14.07%) and propene (11.20%) were the key reactive species to ozone formation potential (OFP), and benzene, toluene, ethylbenzene, m-xylene + p-xylene and o-xylene (54.13%) were the most reactive species to secondary organic aerosol formation potential (SOAFP). The diurnal and seasonal variations indicated that diesel vehicle emission during early morning, gasoline vehicle emission at the traffic rush hours and coal burning during the heating period might be important sources. Five major sources were further identified by positive matrix factorization (PMF). The vehicle exhaust (gasoline exhaust and diesel exhaust) was found to be contributed most to atmospheric VOCs, with 43.59%, 41.91%, 50.45% and 43.91%, respectively in spring, summer, autumn and winter; while solvent usage contributed least, with 11.10%, 7.13%, 14.00% and 19.87%, respectively. Biogenic emission sources (13.11%) were only identified in summer. However, both vehicle exhaust and solvent usage were identified to be the key sources considering contributions to the OFP and SOAFP. Besides, the contributions of combustion during heating period and gasoline evaporation source during warm seasons to OFP and SOAFP should not be overlooked. 相似文献
447.
为了解星云湖沉积物中重金属污染现状,并为湖区污染防治提供理论依据,通过分析湖区表层沉积物中Cu、Zn、Pb、Ni、Cr、Cd、As、Hg等重金属含量,研究了其风险特征及污染来源组成.结果表明:①仅Ni、Cu含量尚未超过星云湖的背景值,其余元素均出现累积,Hg含量是星云湖背景值的2.13倍,潜在生态风险最高.②星云湖沉积物中重金属的空间分布与入湖河流和湖盆地势相关,表现出由河流输送向湖心扩散的趋势,高浓度区均分布在湖心深水区和特定河口位置,Hg的分布异于其他元素,呈西北湾>南部>中部的特征.③西北湖湾潜在生态风险最高,Cd、As是主要贡献元素.④星云湖沉积物中重金属主要来自自然源(占比为43.32%)、工业源(占比为25.89%)、农业源(占比为20.52%)和交通源(占比为10.27%).研究显示,星云湖自然源重金属污染贡献最大,人为源相对较低,但湖区重金属污染处于较高水平.星云湖的重金属污染生态风险可能会持续加剧,其中Hg是污染防控的重点. 相似文献
448.
Xi Cheng Hong Li Yujie Zhang Yuping Li Weiqi Zhang Xuezhong Wang Fang Bi Hao Zhang Jian Gao Fahe Chai Xiaoxiu Lun Yizhen Chen Jian Gao Junyi Lv 《环境科学学报(英文版)》2018,30(9):150-167
Continuous observation of isoprene, α-pinene and β-pinene was carried out in a typical urban area of Beijing from March 2014 to February 2015, using an AirmoV OC online analyzer. Based on the analysis of the ambient level and variation characteristics of isoprene, α-pinene and β-pinene, the chemical reactivity was studied, and their sources were identified. Results showed that the concentrations of isoprene, α-pinene and β-pinene in the urban area of Beijing were lower than those in richly vegetated areas; the concentrations of isoprene were at a moderate level compared with those of previous studies of Beijing. Concentrations of isoprene, α-pinene and β-pinene showed different seasonal, monthly, daily and diurnal variations, and all of the three species showed higher level at night than those in the daytime as a whole, the variations of isoprene, α-pinene and β-pinene mainly influenced by emission of sources, photochemical reaction, and meteorological parameters. Isoprene was the largest contributor to the total OFP values than α-pinene and β-pinene. α-Pinene was the largest contributor to the total SOAFP values than isoprene and β-pinene in autumn, while isoprene was the largest one in other seasons. Isoprene, α-pinene and β-pinene were derived mainly from biological sources; and α-pinene level were also affected by industrial sources. To reduce the concentrations of isoprene, α-pinene and β-pinene, it is necessary to scientifically select urban green plant species, and more strict control measures should be taken to reduce the emission of α-pinene from industrial sources, such as artificial flavors and resins synthesis processes. 相似文献
449.
四川省人为源大气污染物排放清单及特征 总被引:16,自引:14,他引:2
在收集四川省各城市人为污染源活动水平数据基础上,基于自下而上和自上而下结合的清单构建方法,选取排放因子并结合GIS技术,建立了该地区2015年1 km×1 km人为源大气污染物排放清单.结果表明,2015年四川省人为源SO_2、NO_x、CO、PM_(10)、PM_(2.5)、BC、OC、VOCs和NH_3排放量分别为444.9×10~3、820.0×10~3、3 773.1×10~3、1 371.6×10~3、537.5×10~3、28.7×10~3、53.1×10~3、923.6×10~3和988.0×10~3t.电厂和工业锅炉等燃煤排放贡献了95%以上的SO_2,移动源、化石燃料燃烧源和工艺过程源分别贡献了54%、23%和20%的NO_x,以钢铁和建材制造为主的工艺过程源分别贡献了20%的PM_(10)和34%的PM_(2.5),以道路扬尘为主的扬尘源分别贡献了60%的PM_(10)和35%的PM_(2.5),生物质燃烧分别贡献了33%的BC和51%的OC,以机械加工、建筑装饰、电子设备制造、印刷和家具等行业为主的溶剂使用源贡献了46%的VOCs,NH_3主要来自畜禽养殖和氮肥施用等农业部门排放,分别占总排放量的70%和25%.污染物空间分布结果显示,四川省各项大气污染物主要集中分布于人口最为密集,农业和工业均较为发达的四川盆地和攀枝花部分区域,其中,以成都、德阳和绵阳为代表的成都平原城市群为四川盆地内的主要排放高值区域.所建立的排放清单存在一定不确定性,后续研究中应针对活动水平数据获取的不足开展数据收集工作,加强排放贡献较大典型污染源的排放因子本地化研究工作,逐步完善四川省大气污染物排放清单,为四川省复合型大气污染研究和防治提供科学支撑. 相似文献
450.