电动交通工具的污染减排及对策

燃油交通工具是城市温室气体的重要来源之一,因此使用电动交通工具成为解决城市污染减排的重要措施.文章就正确认识电动交通工具污染减排的作用,蓄电池的生产管理、回收利用等进行了讨论,并提出了相应的对策和建议.     

Carbonyl emissions from heavy-duty diesel vehicle exhaust in China and the contribution to ozone formation potential

Fifteen heavy-duty diesel vehicles were tested on chassis dynamometer by using typical heavy duty driving cycle and fuel economy cycle. The air from the exhaust was sampled by 2,4- dinitrophenyhydrazine cartridge and 23 carbonyl compounds were analyzed by high performance liquid chromatography. The average emission factor of carbonyls was 97.2 mg/km, higher than that of light-duty diesel vehicles and gasoline-powered vehicles. Formaldehyde, acetaldehyde, acetone and propionaidehyde were the species with the highest emission factors. Main influencing factors for carbonyl emissions were vehicle type, average speed and regulated emission standard, and the impact of vehicle loading was not evident in this study. National emission of carbonyls from diesel vehicles exhaust was calculated for China, 2011, based on both vehicle miles traveled and fuel consumption. Carbonyl emission of diesel vehicle was estimated to be 45.8 Gg, and was comparable to gasolinepowered vehicles （58.4 Gg）. The emissions of formaldehyde, acetaldehyde and acetone were 12.6, 6.9, 3.8 Gg, respectively. The ozone formation potential of carbonyls from diesel vehicles exhaust was 537 mg O3/km, higher than 497 mg O3/km of none-methane hydrocarbons emitted from diesel vehicles.     

Review of the progress in preparing nano Ti02： An important environmental engineering material

TiO2 nanomaterial is promising with its high potential and outstanding performance in photocatalytic environmental applications, such as CO2 conversion, water treatment, and air quality control. For many of these applications, the particle size, crystal structure and phase, porosity, and surface area influence the activity of TiO2 dramatically. TiO2 nanomaterials with special structures and morphologies, such as nanospheres, nanowires, nanotubes, nanorods, and nanoflowers are thus synthesized due to their desired characteristics. With an emphasis on the different morphologies of TiO2 and the influence factors in the synthesis, this review summarizes fourteen TiO2 preparation methods, such as the sol-gel method, solvothermal method, and reverse micelle method. The TiO2 formation mechanisms, the advantages and disadvantages of the preparation methods, and the photocatalytic environmental application examples are proposed as well.     

农村沼气在北方农业源减排中的应用浅析

农村沼气作为一种特殊的清洁能源,在沈阳市农村节能减排、应对气候变化和发展低碳经济、促进新农村建设方面发挥了巨大的作用。本文通过对沼气工程在北方地区应用的阐述,力图推动北方农村沼气在农业源减排工作中的应用。     

VBA在环境监测数据统计中的应用

VBA是Office系列软件内嵌的通用编程语言,用于定制和扩展Office的功能。将VBA应用在环境监测数据统计中,并以功能区噪声等效声级日期筛选为例,通过编制宏代码,方便快捷地实现功能区噪声数据的自动筛选。     

内蒙古自治区机动车尾气污染监控体系初探

随着机动车大量开始进入普通家庭,内蒙古自治区机动车保有量快速增长,使得机动车排气污染已经成为城市大气污染的重要来源。因此,开展在用机动 车排气污染防治工作,建立切实有效的机动车排气污染监控体系刻不容缓。本文对内蒙古自治区在用机动车排气污染监控体系和保障好保障体系建设内容进行了初探。     

我国生态环境资产负债表编制框架研究

本文根据生态环境资产负债表的基本概念和理论,提出了生态环境资产负债表编制的总体框架,同时,针对环境容量资产、环境质量产品、生态产品资产的特点,分别建立了相应框架体系,提出了环境资产负债表的应用决策方向。本文研究成果对于确立统一的生态环境资产核算标准和方法、使我国生态环境资产负债核算工作逐步规范化、制度化具有重要的现实意义。     

轻型汽油车CH4和N2O排放因子研究

我国的机动车温室气体排放研究多集中于CO2排放,而CH4和N2O排放的相关研究主要是依据欧美开发的模型进行的,缺乏CH4和N2O实车测试的研究.本研究选取22辆轻型汽油车,利用底盘测功机开展了整车台架测试和采样分析,获得了车辆在NEDC工况下的CH4和N2O排放因子.结果表明,国Ⅰ~国Ⅳ阶段轻型汽油车CH4平均排放因子分别为0.048、0.048、0.038和0.028 g·km-1,N2O则分别为0.045、0.039、0.026和0.021 g·km-1.在轻型汽油车单车排放的CO2、CH4和N2O三类温室气体(以CO2当量计)中,CH4和N2O排放的分担率均随排放标准的加严而逐渐降低,其中CH4排放在温室气体排放中不足0.5%,N2O排放分担率在3.03%~6.35%之间.因此,排放标准的加严可以有效减少CH4和N2O的排放,以减缓机动车排放带来的温室效应.     

茶叶基水合氧化铁吸附水体中Pb(Ⅱ)的性能

采用原位沉积技术将水合氧化铁(HFO)负载于废弃茶叶渣表面制备了复合材料茶叶基水合氧化铁(HFO-TW),研究了HFO-TW对水溶液中Pb(Ⅱ)的吸附特性,探讨了溶液pH值、时间、共存碱土离子、温度、Pb(Ⅱ)初始浓度等因素对Pb(Ⅱ)的吸附效果的影响.结果表明酸性范围内,Pb(Ⅱ)的吸附量随溶液pH升高而增大;Pb(Ⅱ)的吸附速度较快,100 min内便可达吸附平衡,且动力学曲线较好地符合伪一级和伪二级动力学模型,拟合系数可达98.8%;在竞争离子Ca(Ⅱ)/Mg(Ⅱ)的浓度高于Pb(Ⅱ)50倍时,HFO-TW对Pb(Ⅱ)仍具有较强的吸附能力,Pb(Ⅱ)的吸附量仅分别下降12.1 mg·g-1和8.1 mg·g-1;Pb(Ⅱ)的吸附过程较好地符合Langmuir等温模型,理论最大吸附容量为89.43 mg·g-1,远高于未经改性的茶叶渣和其他生物吸附剂.所有结果均证实HFO-TW在净化实际铅污染水体中有着较为广阔的应用潜力.     

北京典型道路交通环境机动车黑碳排放与浓度特征研究

本研究对2009年北京市典型道路(北四环中路西段)进行实际交通流监测和调研,分析了总车流量、车型构成和平均速度的日变化规律.应用北京机动车排放因子模型(EMBEV模型)和颗粒物黑碳排放的研究数据,计算该路段的黑碳平均排放因子和排放强度.根据同期观测的气象数据,应用AERMOD模型对道路黑碳排放进行了扩散模拟,并根据城市背景站点和道路边站点的监测数据对模拟结果进行了验证.研究表明,该路段黑碳平均排放因子与重型柴油车在总车流中所占比例呈现出极强的相关性,由于北京市实行货车区域限行制度,日间时段总车流的平均黑碳排放因子为(9.3±1.2)mg·km-1·veh-1,而夜间时段上升至(29.5±11.1)mg·km-1·veh-1.全天时均黑碳排放强度为17.9~115.3g·km-1·h-1,其中早(7:00—9:00)晚(17:00—19:00)高峰时段的黑碳排放强度分别为(106.1±13.0)g·km-1·h-1和(102.6±6.2)g·km-1·h-1.基于同期监测数据验证,AERMOD模型的模拟效果较好.模拟时段的道路黑碳排放对道路边监测点的平均浓度贡献为(2.8±3.5)μg·m-3.由于局地气象条件差异,日间和夜间的机动车排放对道路边黑碳的模拟浓度存在显著差异.日间时段,小型客车排放对道路边站点的黑碳浓度贡献最高,达(1.07±1.57)μg·m-3;其次为公交车,达(0.58±0.85)μg·m-3.夜间时段货车比例明显上升,其黑碳排放占主导地位,贡献浓度(2.44±2.31)μg·m-3.