西安市机动车污染物排放清单与空间分布特征

基于机动车排放因子(MOVES)模型和地理信息系统(ArcGIS)技术,建立了西安市2017年分辨率为1km×1km的机动车污染物排放清单。结果显示:2017年西安市机动车污染物PM_(2.5)、PM_(10)、NO_x(NO+NO_2)、NO、NO_2、N_2O和挥发性有机物(VOCs)的年排放总量分别为126.1×10~4、138.2×10~4、2 884.2×10~4、2 577.8×10~4、306.4×10~4、27.9×10~4、1 281.2×10~4 kg;柴油车是PM_(2.5)、PM_(10)和NO_x排放的主要来源,贡献率分别为80.2%、79.5%和75.8%;VOCs和N_2O则主要来自汽油车,贡献率分别为74.2%、89.7%;总体看来,研究区域内不同污染物的空间分布规律相似,这与西安市公路分布有关,PM_(2.5)和NO_x的排放主要集中在主城区及周边县区的高速路和国道,而VOCs的排放主要集中在主城区二环及环内。     

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。     

On-road remote sensing measurements and fuel-based motor vehicle emission inventory in Hangzhou,China

Motor vehicles are one of the largest sources of air pollutants worldwide. Despite their importance, motor vehicle emissions are inadequately understood and quantified, esp. in developing countries. In this study, the real-world emissions of carbon monoxide (CO), hydrocarbons (HC) and nitrogen oxide (NO) were measured using an on-road remote sensing system at five sites in Hangzhou, China in 2004 and 2005. Average emission factors of CO, HC and NO_x for petrol vehicles of different model year, technology class and vehicle type were calculated in grams of pollutant per unit of fuel use (g l⁻¹) from approximately 32,260 petrol vehicles. Because the availability of data used in traditional on-road mobile source estimation methodologies is limited in China, fuel-based approach was implemented to estimate motor vehicle emissions using fuel sales as a measure of vehicle activity, and exhaust emissions factors from remote sensing measurements. The fuel-based exhaust emission inventories were also compared with the results from the recent international vehicle emission (IVE) model. Results show that petrol vehicle fleet in Hangzhou has significantly high CO emissions, relatively high HC and low NO_x, with the average emission factors of 193.07±15.63, 9.51±2.40 and 5.53±0.48 g l⁻¹, respectively. For year 2005 petrol vehicles exhaust emissions contributed with 182,013±16,936, 9107±2255 and 5050±480 metric ton yr⁻¹ of CO, HC and NO_x, respectively. The inventories are 45.5% higher, 6.6% higher and 53.7% lower for CO, HC and NO_x, respectively, than the estimates using IVE travel-based model. In addition, a number of insights about the emission distributions and formation mechanisms have been obtained from an in-depth analysis of these results.     

Characterization of on-road vehicle emission factors and microenvironmental air quality in Beijing,China

In this paper, we report the results and analysis of a recent field campaign in August 2007 investigating the impacts of emissions from transportation on air quality and community concentrations in Beijing, China. We conducted measurements in three different environments, on-road, roadside and ambient. The carbon monoxide, black carbon and ultrafine particle number emission factors for on-road light-duty vehicles are derived to be 95 g kg^?1-fuel, 0.3 g kg^?1-fuel and 1.8 × 10¹⁵ particles kg^?1-fuel, respectively. The emission factors for on-road heavy-duty vehicles are 50 g kg^?1-fuel, 1.3 g kg^?1-fuel and 1.1 × 10¹⁶ particles kg^?1-fuel, respectively. The carbon monoxide emission factors from this study agree with those derived from remote sensing and on-board vehicle emission testing systems in China. The on-road black carbon and particle number emission factors for Chinese vehicles are reported for the first time in the literature. Strong traffic impacts can be observed from the concentrations measured in these different environments. Most clear is a reflection of diesel truck traffic activity in black carbon concentrations. The comparison of the particle size distributions measured at the three environments suggests that the traffic is a major source of ultrafine particles. A four-day traffic control experiment conducted by the Beijing Government as a pilot to test the effectiveness of proposed controls was found to be effective in reducing extreme concentrations that occurred at both on-road and ambient environments.     

Anthropogenic mercury emission inventory with emission factors and total emission in Korea

Mercury emissions concentrations, emission factors, and the total national emission from major anthropogenic sources in Korea for the year 2007 were estimated. Uncontrolled and controlled mercury emission factors and the total emission from each source types are presented. The annual national mercury emission from major anthropogenic sources for the year 2007, on average was 12.8 ton which ranged from 6.5 to 20.2 ton. Averaged emissions of elemental, oxidized, and particulate mercury were estimated at 8.25 ton, 3.69 ton, and 0.87 ton, respectively. Due to the removal of a major portion of particulate and oxidized mercury species, elemental mercury was dominant in stack emission. About 54.8% of mercury emission was contributed by industrial sources, 45.0% by stationary combustion sources and 0.02% by mobile sources. Thermal power plants, oil refineries, cement kilns and incinerators (municipal, industrial, medical, sewage sludge) were the major mercury emitters, contributing about 26%, 25%, 21% and 20%, respectively to the total mercury emission. Other sources (crematory, pulp and paper manufacturing, nonferrous metals manufacturing, glass manufacturing) contributed about 8% of the total emission. Priority should be given in controlling mercury emissions from coal-fired power plants, oil refineries, cement kilns and waste incinerators. More measurements including natural and re-emission sources are to be carried out in the future in order to have a clear scenario of mercury emission from the country and to apply effective control measures.     

Developing a high-resolution vehicular emission inventory by integrating an emission model and a traffic model: Part 2--A case study in Beijing

A grid-based, bottom-up method has been proposed by combining a vehicle emission model and a travel demand model to develop a high-resolution vehicular emission inventory for Chinese cities. Beijing is used as a case study in which the focus is on fuel consumption and emissions from hot-stabilized activities of light-duty gasoline vehicles (LGVs) in 2005. The total quantity of emissions, emission intensity, and spatial distribution of emissions at 1- by 1-km resolution are presented and compared with results from other inventory methods commonly used in China. The results show that the total daily fuel consumption and vehicular emissions of carbon dioxide, carbon monoxide, hydrocarbons, and oxides of nitrogen from LGVs in the Beijing urban area in 2005 were 1.95 x 10(7) L, 4.28 x 10(4) t, 1.97 x 10(3) t, 0.28 x 10(3) t, and 0.14 x 10(3) t, respectively. Vehicular fuel consumption and emissions show spatial variations that are consistent with the traffic characteristics. The grid-based inventory developed in this study reflects the influence of traffic conditions on vehicle emissions at the microscale and may be applied to evaluate the effectiveness of traffic-related measures on emission control in China.     

机动车污染排放模型研究综述

过去几十年,为了掌握机动车污染排放的规律和特征,向决策者提供科学有效的机动车污染控制措施,研究者们致力于研究机动车污染物排放的物化原理和影响机动车污染的主要因素,并据此建立多种尺度的机动车排放模型,以模拟城市区域或者街道的污染物排放.为了分析机动车的瞬态排放特征,目前的机动车排放模型研究正逐渐从宏观向微观发展,排放测试方法注重获取逐秒的排放数据,排放模型模拟的时间尺度和空间尺度逐步趋向微观.此外,机动车模型研究正趋向与交通模型进行耦合,从而揭示机动车在实际道路交通流中的排放特征.从机动车排放的主要影响因素、机动车排放测试、机动车排放因子模型及机动车排放清单等4个方面综述了国内外机动车排放研究现状和发展动向,对比并评价各种机动车排放模型方法的优缺点和适用范围,对我国的机动车排放模型发展方向进行了展望.     

The emission inventory of PCDD/PCDF in Taiwan

Establishment of a country or region-based dioxin inventory was considered a crucial step toward elimination of worldwide dioxins/POPs contaminations, although no harmonized method for the preparation of an inventory is available at present. In this study, we used limited data and information to generate an inventory of dioxin emissions from some major sources in Taiwan. A total of 67.25 g I-TEQ of dioxins released annually was estimated. Unlike most of the industrialized countries, municipal waste incineration is not the highest contributor for dioxins released into the atmosphere. In contrast, secondary copper smelting accounts for more than 39% of the total dioxin emissions, and is higher than those from all waste incinerators combined (23.7%). Cement kilns and electric arc furnaces for steels also produced significant portion (both >10%) of dioxins into the environment, followed by secondary aluminum smelting (6.53%), industrial oil combustion (5.02%) and power plants fueled by coal (5.01%). Other known sources are either insignificant with respect to their dioxin emissions or not included in this inventory due to lack of information or uncertainty of the results. Data presented in this report provide a general picture of dioxin emissions in Taiwan, but were mostly based on less reliable or representative information, especially with respect to emission factors from different emission sources. It is necessary to establish background information relative to our own environment at present. Upon available, the inventory should be updated accordingly for proper environmental management on dioxins.     

嘉兴市人为源大气污染物排放清单研究

建立了2017年嘉兴市人为源大气污染物排放清单。结果发现,SO_2、NO_x、CO、挥发性有机物(VOCs)、NH_3、总悬浮颗粒物(TSP)、PM_(10)、PM_(2.5)、黑碳(BC)和有机碳(OC)排放总量分别为15 224、60 663、102 600、93 256、26 266、118 923、70 367、19 024、941、1 622t。SO_2的最大排放源是化石燃料固定燃烧源中的电力供热;NO_x的最大排放源是移动源中的柴油车;CO的最大排放源是移动源中的汽油车;VOCs的最大排放源是工艺过程源中的石油化工;NH_3的最大排放源是农业源中的氮肥施用;TSP的最大排放源是扬尘源中的道路扬尘;PM_(10)和PM_(2.5)的最大排放源是工艺过程源中的水泥生产;BC的最大排放源是移动源中的柴油车;OC的最大排放源是餐饮油烟源中的餐饮油烟。对于大气污染中普遍关注的6种污染物,SO_2、NO_x、PM_(10)、PM_(2.5)和VOCs排放的重点源主要集中在各县(市、区)的工业园区或工业集聚区,而NH_3的排放空间分布相对比较分散。     

Analysis of air toxics emission inventory: inhalation toxicity-based ranking

Air toxics emission inventories play an important role in air quality regulatory activities. Recently, Minnesota Pollution Control Agency (MPCA) staff compiled a comprehensive air toxics emission inventory for 1996. While acquiring data on the mass of emissions is a necessary first step, equally important is developing information on the potential toxicity of the emitted pollutants. To account for the toxicity of the pollutants in the emission inventory, inhalation health benchmarks for acute effects, chronic effects, and cancer were used to weight the mass of emissions. The 1996 Minnesota emissions inventory results were ranked by mass of emissions and by an index comprised of emissions divided by health benchmarks. The results show that six of eight pollutants ranked highest by toxicity were also the pollutants of concern indicated in environmental monitoring data and modeling data. Monitoring data and modeling results did not show high impacts of the other two pollutants that were identified by the toxicity-based emission ranking method. The biggest limitation in this method is the lack of health benchmark values for many pollutants. Despite uncertainties and limited information, this analysis provides useful information for further targeting pollutants and source categories for control.     

Innovative methods for emission inventory development and evaluation: workshop summary

Emission inventories are an essential tool for evaluating, managing, and regulating air pollution. Refinements and innovations in instruments that measure air pollutants, models that calculate emissions, and techniques for data management and uncertainty assessment are needed to enhance emission inventories. This workshop provided recommendations for improving emission factors, improving emission models, and reducing inventory uncertainty. Communication that increases cooperation between developers and users of inventories is essential. Emission inventories that incorporate these improvements will meet the challenges of the future.     

机动车大气污染物排放清单构建的研究

随着机动车保有量的增加,大气污染物排放已经成为空气污染的一个重要来源,总结出一套完整的机动车大气污染物排放清单建立方法,即从机动车车况调查着手,掌握研究区域机动车基本情况,然后通过实洲或排放模型方法确定机动车排放因子,配合道路状况的调查,建立宏观、中观或微观等不同尺度的机动车大气污染物排放清单.另外,在整个排放清单建立过程中设置数据来源质量保证,选择合适的不确定性定量分析方法.通过探讨每个步骤中目前所采用的方法和存在的问题,以拓宽刚涉足机动车大气污染物排放清单方面研究者的思路.     

海南省大气污染源排放清单及环境影响研究

基于海南省2016年工业环境统计数据,通过自下而上的方法建立海南省2016年工业大气污染源排放清单,并利用中国多尺度排放清单模型(MEIC)排放清单进行背景源补充,使用CALPUFF模型进行大气污染模拟。污染物排放清单结果显示,2016年海南省SO_2、NO_x、CO、PM_(2.5)、PM(10)、黑碳(BC)、有机碳(OC)、挥发性有机物(VOCs)和NH3的排放量分别为1.50×10~4、5.10×10~4、4.56×10~5、2.34×10~4、2.10×10~4、3.50×10~3、1.20×10~4、4.96×10~4、6.50×10~4 t,其中SO_2主要排放源为化石燃料固定燃烧源(分担率66.67%),NO_x主要排放源为交通源(分担率51.18%),CO、PM_(10)、PM_(2.5)主要排放源为生活源(分担率分别59.01%、81.28%和87.62%),VOCs主要排放源为工业溶剂使用源(分担率75.91%),NH_3主要排放源为农业源(分担率93.54%)。排放量较大的区域集中在儋州市、澄迈县一带。SO_2、NO_x年均最大浓度均出现在海口市,PM_(10)、PM_(2.5)年均最大浓度均出现在定安县。交通源对全省污染物浓度贡献突出,工业源虽然对颗粒物浓度贡献率较低,但仍需加强PM_(2.5)治理。     

京津沪地区工业污染物产生量与经济发展定量关系研究

选择北京、天津、上海3地的工业废水、工业废气、工业二氧化硫、工业粉尘、工业烟尘以及工业固体废弃物6个工业污染典型指标,利用环境库兹涅茨曲线(EKC)进行工业污染物产生量与经济发展定量关系的研究.结果表明,3地的工业废水产生量随着GDP增长均呈现出下降趋势,其EKC均可看成是1个倒U型的右侧;北京、上海的工业二氧化硫产生量随着GDP增长均呈现出U型变化趋势,其EKC均可看成是2个倒U型的组合;3地的其他工业污染物产生量均随着GDP增长呈现出上升趋势,其EKC均可看成是1个倒U型的左侧;要使表征工业污染物的产生量与GDP的关系的EKC呈现为倒U型的右侧,则需要不断地改进生产工艺技术水平,优化工业结构.     

An inventory of N(2)O emissions from agriculture in China using precipitation-rectified emission factor and background emission

Fertilized agricultural soils are a major anthropogenic source of atmospheric N₂O. A credible national inventory of agricultural N₂O emission would benefit its global strength estimate. We compiled a worldwide database of N₂O emissions from fertilized fields that were consecutively measured for more than or close to one year. Both nitrogen input (N) and precipitation (P) were found to be largely responsible for temporal and spatial variabilities in annual N₂O fluxes (N₂O–N). Thus, we established an empirical model (N₂O–N = 1.49 P + 0.0186 P · N), in which both emission factor and background emission for N₂O were rectified by precipitation. In this model, annual N₂O emission consists of a background emission of 1.49 P and a fertilizer-induced emission of 0.0186 P · N. We used this model to develop a spatial inventory at the 10 × 10 km scale of direct N₂O emissions from agriculture in China. N₂O emissions from rice paddies were separately quantified using a cropping-specific emission factor. Annual fertilizer-induced N₂O emissions amounted to 198.89 Gg N₂O–N in 1997, consisting of 18.50 Gg N₂O–N from rice paddies and 180.39 Gg N₂O–N from fertilized uplands. Annual background emissions and total emissions of N₂O from agriculture were estimated to be 92.78 Gg N₂O–N and 291.67 Gg N₂O–N, respectively. The annual direct N₂O emission accounted for 0.92% of the applied N with an uncertainty of 29%. The highest N₂O fluxes occurred in East China as compared with the least fluxes in West China.     

关中地区机动车颗粒物排放清单

利用本地化修正的MOVES模型模拟确定了关中地区不同类型车辆的颗粒物排放因子,结合实地调研的保有量和行驶里程数据测算了该地区的机动车颗粒物年排放总量,并从季节、城市、车型和燃油等多个角度详细分析了颗粒物的排放分担率。结果表明：关中地区2012年的机动车颗粒物排放总量分别为PM2.5 4.06×103 t,PM10 5.52×103 t;关中五市一区中西安市的颗粒物排放量最高,PM2.5和PM10排放分别占到该地区的46.53%和48.39%;不同类型车辆中,重型货车的排放分担率最高,其次为中型货车,二者之和占到颗粒物总排放的50%以上;不同燃油车辆中,柴油车的排放分担率远远高于汽油车,是颗粒物的主要贡献者;因此中型和重型柴油货车是关中地区控制颗粒物排放污染的重点车型。     

成都市餐饮源大气污染物排放清单研究

为全面、准确地获得成都市餐饮源大气污染物排放清单,针对成都市社会餐饮、家庭餐饮和食堂餐饮分别选择监测对象进行细颗粒物(PM2.5)、非甲烷总烃(NMHCs)、油烟、氮氧化物(NOx)、SO2和CO 6种大气污染物排放浓度监测.分别按照用油量、就餐人次和灶头风量3种核算依据计算了6种大气污染物的排放因子,并计算成都市餐饮...     

Evaluation of an urban NMHC emission inventory by measurements and impact on CTM results

This paper presents an evaluation of the consistency of an urban state-of-the-art hydrocarbon (HC) emission inventory. The evaluation was conducted through the comparison of this inventory with hourly HC measurements during two summer months in the centre of Marseille, on the Mediterranean French coast. Factors of under or overestimation could be calculated for each compound on the basis of a systematic HC to HC ratio analysis. These results, associated with a deep analysis of the speciation profiles, show that most of the common and highly concentrated hydrocarbons (such as butanes) are too much predominant in the emission speciation, while the heavy and less common species (branched alkanes, substituted aromatics) are under-represented in the inventory. The urban diffuse sources appear here as one critical point of the inventories. The disagreements were shown to have a strong incidence on the representation of the air mass reactivity. In a last step, the identified uncertainties in emissions were implemented in an air-quality model for sensitivity studies. It was shown that the observed biases in the inventory could affect the regional ozone production, with a probable impact on ozone peaks of 2–10 ppbv over the area.     

Assessment of different methods in analyzing motor vehicle emission factors

Environmental Science and Pollution Research - To explore the emission characteristics of vehicle’s pollutants is of great significance to prevent and control the diffusion of pollutants....