小型燃煤机组烟气重金属排放特征研究

100 MW以下燃煤机组呈单台容量小、总台数大的特点,是燃煤重金属污染的主要排放源之一.选择7台12 MW燃煤机组,采用美国环境保护局Method 29法现场检测燃煤机组烟气重金属排放浓度,分析烟气中Hg、Pb、Cr、As的排放特征;采集机组产生的飞灰和底灰,分析除尘技术对重金属的富集特性.结果表明:100 MW以下燃煤机组烟气中重金属经脱硝除尘脱硫装置协同控制后,ρ（Hg）为0.20~0.44 μg/m3,烟气Hg以气态形式存在,其占比为100.0%;ρ（Pb）为0.5~2.6 μg/m3,烟气Pb主要以气态形式存在,其占比为38.7%~92.1%;ρ（As）为0.6~3.0 μg/m3,烟气As主要以气态形式存在,其占比为67.8%~100.0%;ρ（Cr）为3.6~23.9 μg/m3,烟气Cr主要以颗粒态形式存在,其占比为65.8%~99.2%.飞灰富集Hg、Pb、Cr、As的能力大于底灰.重金属主要富集于飞灰中的细颗粒物中,采取除尘技术可有效协同控制烟气中的Hg、Pb、Cr、As;飞灰中重金属元素Hg、Pb相对富集系数均与煤中硫含量呈负相关,半干法脱硫+袋式除尘技术对飞灰富集Hg有促进作用.小型燃煤机组烟气重金属Hg、Pb、Cr、As的排放因子分别为0.002 2~0.005 1、5~17、42~160、7~24 mg/t.研究显示,100 MW以下燃煤机组与100 MW及以上燃煤机组烟气重金属Hg、Pb、Cr、As排放特征不同,100 MW以下燃煤机组烟气Hg排放浓度较小,二者烟气Pb、Cr、As排放浓度相近,选用湿式电除尘技术可进一步降低烟气Hg、Pb、Cr、As的排放浓度.      

京津冀及周边地区水泥工业大气污染控制分析

以京津冀及周边地区水泥工业为研究对象,基于产排污系数法,建立了水泥工业主要大气污染物排放计算方法,对2016年该地区水泥工业主要大气污染物排放控制水平进行了分析.结果表明：京津冀及周边地区2016年水泥工业SO₂、NO_x、PM（有组织）排放量分别达到3.2×10⁴t、23.9×10⁴t、9.7×10⁴t,较2015年分别减少24.1%、18.2%、27.2%,各项污染物大幅下降.水泥工业PM无组织排放量占PM总排放量的45.4%,仍需要采取集中收集的方式加强治理.山东、河南是水泥工业SO₂、NO_x、PM、PM₁₀、PM_2.5重点排放来源,应通过化解过剩产能降低污染排放.从各工艺来看,新型干法工艺应考虑采用高效脱氮脱硫技术、协同处置技术、高效大型袋式除尘技术等新技术,进一步降低各项污染物的排放量;粉磨站也需进一步提高污染治理水平.     

基于高精度清单的京津冀机动车控污政策研究

为研究京津冀机动车污染控制政策对CO、HC、NO_x、PM_2.5、PM₁₀等污染物的减排效果,建立了2014年高精度机动车排放清单,选取过去已经实施,未来规划实施及优化/劣化后的若干政策,设置4类共13种政策情景,与实际清单基准情景进行对比,识别各政策情景的排放变化,并对其中由政府给予补贴的政策进行成本收益核算.结果显示,淘汰低排放标准机动车带来的污染减排效果最好,在天津和河北对CO和HC的排放削减分别为53.19%,49.75%和51.28%,50.87%,达半数及以上;升级机动车发动机和燃油标准也能显著削减排放,在天津和河北对PM_2.5、PM₁₀的削减分别为17.01%,17.00%和21.95%,21.93%.政府补贴政策存在明显边际效应特征,排放标准高,重污染车少的北京单位成本的减排收益明显低于天津和河北,.河北和天津在考虑成本因素的基础上,应当逐步采纳北京的高标准减排政策;北京则可在一定条件下,将一部分低效的政府补贴通过合理方式转移支付给天津和河北,以提高政府投入的减排效率.     

上海市机动车污染实时排放预警系统设计与应用

研究上海市机动车污染的动态排放测算和网格化动态排放清单构建,在实时的交通数据和交通环境监测数据的基础上,结合交通模型、机动车排放清单模型等业务模型和算法,依托大数据存储、可视化和GIS等技术,开发了上海市机动车污染物实时排放预警系统,实现了上海市全市道路的机动车动态排放测算、交通环境政策实施情景模拟和网格化排放清单,更新频率为每30 min一次,包含PM、NOx、CO、SO2、VOCs等污染物和9种车型。系统建成后直接服务于首届中国国际进口博览会,为大气污染排放实时总量跟踪评估、污染源管控措施分析及监测成因分析等提供了有力的实时数据和技术支撑。     

2017年上半年北京市及周边地区空气质量特征分析

依托北京市、廊坊市和保定市高密度的地面空气质量监测、气象要素监测以及PM_2.5化学组分监测和后向轨迹分析等手段，对2017年上半年三地的空气质量进行分析。研究发现：三地中北京市空气质量较好，保定市较差。分污染物来看，保定市SO₂浓度水平明显高于廊坊市和北京市，颗粒物PM₁₀和PM_2.5也呈现保定市最高、北京市最低的规律。从污染物日变化来看，CO、SO₂、NO₂、PM₁₀和PM_2.5呈双峰型分布，O₃呈单峰型分布。从区域整体分布规律来看，PM_2.5和SO₂呈现明显的"南高北低"特征。PM_2.5化学组分分析结果表明：1—4月燃煤对该区域空气质量的影响较大，5—6月机动车排放的影响更为凸显。后向轨迹分析结果表明：在2017年上半年到达北京市的气流中有24%来自于北京市南部，且这些气流多为低空传输，表明区域传输对于北京市空气质量具有一定的影响。     

Emissions of gaseous and particulate pollutants in a port and harbour region in India

Ports can generate large quantity of pollutants in the atmosphere due to various activities like loading and unloading,transportation, and construction operations. Determination of the character and quantity of emissions from individual sources is an essential step in any project to control and minimize the emissions.In this study a detailed emission inventory of total suspendedparticulate matter (TSP), particulate matter less than 10 m(PM₁₀), sulfur dioxide (SO₂) and nitrogen oxides (NO_x) for a port and harbour project near Mumbai is compiled. Results show that the total annual average contributions of TSP and PM₁₀ from all the port activitieswere 872 and 221 t yr^-1, respectively. Annual average emissions of gaseous pollutants SO₂ and NO_xwere 56 and 397 t yr^-1, respectively, calculatedby using emission factors for different port activities. The maximum TSP emission (419 t yr ^-1) was from paved roads, while the least (0.4 t yr^-1) was from bulk handling activity. The maximum PM₁₀ emission (123 t yr^-1) was from unpaved roads and minimum (0.2 t yr^-1) from bulk handling operations. Similarly the ratio of TSP and PM₁₀ emission was highest (5.18) from paved roads and least (2.17) from bulk handling operations. Regression relation was derivedfrom existing emission data of TSP and PM₁₀ from variousport activities. Good correlation was observed between TSP andPM₁₀ having regression coefficient >0.8.     

炉排型城市生活垃圾焚烧炉排气中二

选择四种规模不同的炉排型生活垃圾焚烧炉,分别对其排放烟气中的二     

Flue gas treatability studies: a tool for techno-economic control of industrial air pollution

Air pollution problems in developing countries have gained larger fraction in the last decade especially due to non functioning and non implementation of effective air pollutioncontrol devices in industries. In industrial wastewater management, adequate treatability studies are conducted to arrive at a techno-economic treatment option. However no suchstudies were done for reducing air pollution or emission fromindustries until now in India. Little information was availableabout such studies in other countries. This article provides information about a novel technique known asflue gas treatability studies and to undertake such studies, a pilot scale system is installed in Air Pollution Control Divisionof M/s National Environmental Engineering research Institute, NEERI, Nagpur-20, India. This study is a tool for techno-economicselection of air pollution control systems specially for small/medium scale industrial emissions.     

An Assessment on Variation of Sulphur Dioxide and Particulate Matter in Erzurum (Turkey)

Sulphur dioxide and PM₁₀ levels are investigated in Erzurum during the periods of 1990–2000 heating season to assess air pollution level. For that reason, emissions of sulphur dioxide and particulate matter were calculated by using consumption of fuels and Turkish emission factors. These emission values were evaluated together with air pollution levels, which were measured at six stations in Erzurum atmosphere during 1990–2000 winter periods. Results reveal that in 1990–1994 heating period, there is an increasing trend in the emissions and air pollution levels over Erzurum, and the air quality limits were not met. The daily 24 h limit (short-term limit) was exceeded 127 days in 1992–1993 winter period. The reason for this increase was found to be the switching to use of low-quality fossil fuels instead of cleaner ones. Results also indicated that there was a considerable decrease in emissions of air pollutants and air pollution levels after 1995. This can be explained by the consumption of more high-quality fossil fuels. The correlation coefficient of SO₂ with PM₁₀ is obtained as r² = 0.85, which is a high value supporting the idea that both pollutants are emitted from the same source.     

Multipoint source method in air pollution modelling of cold start emission

The paper presents a new method of air pollution modelling on a micro scale. For estimation of concentration of car exhaust pollutants, each car is treated as an instantaneous moving emission source. This approach enables us to model time and spatial changes of emission, especially during cold and cool start of an engine. These stages of engine work are a source of significant pollution concentration in urban areas. In this work, two models are proposed: one for the estimation of emission after cold start of the engine and another for the prediction of pollutant concentration. The first model (defined for individual exhaust gas pollutants) enables us to calculate the emission as a function of time after the cold or cool start, ambient temperature and average speed of motion. This model uses the HBEFA database. The second mathematical model is developed in order to calculate the pollutant dispersion and concentrations. The finite volume method is applied to discretise the set of partial differential equations describing wind flow and pollutant dispersion in the domain considered. Models presented in this paper can be called short-term models on a small spatial scale. The results of numerical simulation of pollutant emission and dispersion are also presented.