长沙市空气自动站周边区域大气污染物排放源清单

以长沙市空气自动站周边3 km为研究对象,基于统计年鉴和实地调查,获得了该地区2015年储存运输源、废弃物处理源、工艺过程源、化石燃料固定燃烧源、农业源、生物质燃烧源、扬尘源、移动源8个源类的活动水平数据。以大气污染物排放源清单编制技术指南为依据,建立了2015年长沙市空气自动站周边3 km区域NH_3、NO_x、PM_(10)、PM_(2.5)、SO_2、VOCs等6项污染物的源排放清单。结果表明,2015年长沙空气自动站周边3 km内,8类大气污染源排放的NH_3、NO_x、PM_(2.5)、PM_(10)、SO_2、VOCs总量分别为53.65t、4 899.35t、1 846.09t、6 257.75t、989.49t、4 383.31t。NH_3、NO_x、PM_(2.5)、PM_(10)、SO_2、VOCs排放量最大的源分别是农业源、移动源、扬尘源、扬尘源、化石燃料固定燃烧源和移动源,贡献率分别为98.45%、84.24%、60.82%、85.90%、97.33%、49.88%。优化道路交通、减少燃煤、减少建筑工地扬尘排放可促进长沙市空气自动站周边空气质量改善。     

广安市大气污染源排放清单研究

基于全面的实地调研,获取了广安市2016年各典型污染源的活动水平数据,以城市大气污染物排放清单编制技术手册为指导,采用排放因子法,建立了广安市2016年大气污染源排放清单,并分析了主要污染源排放特征。结果表明,2016年广安市SO_2、NO_X、CO、PM_(10)、PM_(2.5)、VOCs、NH_3总排放量分别为31 706 t、28 084 t、115 874 t、56 415 t、19 710 t、24 774 t以及39 484 t。SO_2排放主要来自工业源;NO_X排放主要来自工业源和移动源;CO排放主要来自工业源、民用燃烧源及移动源;PM_(10)和PM_(2.5)排放来自工业源、扬尘源和露天秸秆焚烧;VOCs主要来自工业源、移动源以及溶剂使用源;NH_3主要来自农业排放。     

要闻

47城市执行大气污染物特别排放限值3月5日,执行大气污染物特别排放限值的地区为纳入《重点区域大气污染防治"十二五"规划》的重点控制区,共涉及京津冀、长三角、珠三角等"三区十群"19个省(区、市)47个地级及以上城市。对于新建项目,具体要求为:对于排放标准中已有特别排放限值要求的火电、钢铁行业,自2013年4月1日起,新受理的火电、钢铁环评项目执行大气污染物特别排放限值;对于     

乌鲁木齐大气污染物变化特征及综合评价

随着经济发展和城市化速度加快,大气污染已经成为区域性环境问题,基于2001～2018年乌鲁木齐市城市空气质量监测数据,选取SO_2、NO_2、PM_(10) 3种常规大气监测污染物作为乌鲁木齐大气环境体系评价指标,利用AHP层次分析法,建立大气污染物层次构造模型,对乌鲁木齐市大气环境质量作出综合评价。结果表明:乌鲁木齐市大气2001～2014年期间环境质量为三级,2015～2018年环境质量为二级,大气污染物权重排序为:煤改气前PM_(10)SO_2NO_2,煤改气后PM_(10)NO_2SO_2,说明乌鲁木齐市大气颗粒物占主要作用,"煤改气"能源结构调整使SO_2的浓度也有所降低,大气污染类型从以前的煤烟型污染向复合型污染逐渐转化。各年度大气质量优劣依次为2014～2018呈现逐年变好的趋势,2001～2013年有升高也有降低交替存在,整体评价与乌鲁木齐市环境质量状况公报公布的一致。表明大气环境质量改善趋势较明显,研究成果为探索乌鲁木齐市大气环境治理提供重要依据。     

空气污染物的时空演化及社会经济驱动因素研究——以长江三角洲地区为例

本文以2006—2015年长江三角洲城市群为研究对象,分析该地区不同部门因能源消费而产生的典型污染物排放量,然后利用LMDI模型,对空气污染进行社会经济驱动因素分析。结果表明:该地区CO_2、SO_2、PM_(2.5)与PM_(10)等空气污染物排放量均呈现先快速增长后缓慢减少的趋势,排放的峰值多出现在了2013年,而NO_x则一直保持增长的趋势。其中,电力与工业部门是空气污染物的主要排放源,但对排放量贡献呈减少趋势,生活部门与交通部门污染物排放量则逐步增长,尤其是对PM_(2.5)与PM_(10)排放量的贡献不可忽视。人口与经济增长对污染物排放量起到了正向拉动作用,经济因素的驱动作用最为明显,其效应值呈现先小幅增加后大幅下降的趋势,能源效率与能源结构有抑制作用,其对污染物排放的效应值仅次于经济因素,而能源结构变化的效应很小。     

基于LMDI的长江中下游城市群污染排放强度分析

长江中下游城市群地区工业重化特征明显,工业水污染排放贡献超过10%,大气污染物占比更超过70%。本文采用迪氏对数指标分解法(LMDI)识别长江中下游城市群污染排放的主要影响因子,对长江中下游城市群重点行业COD、氨氮、SO_2、NO_x排放强度进行分析。将排放强度拆分为末端削减、技术工业和产品结构三个指标,分析2012—2020年和2020—2030年两个时间段内,对污染排放强度降低贡献度最高的影响因素。结果表明,末端削减和技术工艺对污染排放强度降低影响大,贡献值之和约为90%,两者分别代表末端处理技术对污染排放的削减程度,以及高附加值行业单位产值污染物产生水平;COD、SO_2和氨氮的排放强度由末端削减和技术工艺共同作用,NO_x的排放强度较高且未来末端削减水平进步小,未来需要重视该污染物的减排和治理。     

我国部分地区大气污染现状及其分布特征

收集2014—2016年我国部分地区环保部常规监测的6项大气污染物浓度,重点分析了我国东北、华北、华东、华中、西部地区经济快速发展城市空气污染的状况及分布特征。结果表明:除O_3外,其余污染物浓度均下降,SO_2二级达标率持续上升。各污染物区域性分布显著,北方比南方污染重。东部O_3污染严重;PM_(10)、CO浓度在华北地区最高;SO_2浓度在东北、华北最高;PM_(2.5)、NO_2浓度在华中、华北最高。华北地区大气污染严重,华东PM及SO_2污染最轻。     

两淮地区燃煤电厂砷、汞、氟、铍和铀的大气排放清单的研究

安徽两淮地区(淮南和淮北)为华东地区最重要的能源基地,共有8个大型燃煤电厂,小型电厂数量众多,坑口电厂煤电的转换,污染物多残留原地,PM_(2.5)细颗粒物及有害元素大气排放尤需关注。两淮煤田煤中As、Hg、F、Be和U不富集,但燃煤电厂煤消费量大,而两淮地区燃煤电厂有害元素的大气排放量相关报道较少;基于该地区煤炭消费量、煤中元素含量和元素大气排放因子,建立了有害元素As、Hg、F、Be和U的大气排放清单,结果表明:2012年两淮地区燃煤电厂As、Hg、F、Be和U的大气排放量分别为0.31 t、1.93 t、727 t、0.08 t和0.18 t。     

京津冀雾霾“病因”明朗 冬奥会空气达标减煤是关键

北京,2013年12月2日：绿色和平与英国利兹大学研究团队最新发布的《雾霾真相——京津冀地区PM2.5污染解析及减排策略研究》显示：煤炭燃烧排放出的大气污染物是整个京津冀地区雾霾的最大根源。从行业来看,煤电、钢铁和水泥生产是京津冀首要的“污染”行业,其排放出的烟尘、二氧化硫、氮氧化物和挥发性有机物等是雾霾的主要来源。     

炼化企业无机前体物排放对大气细颗粒物的贡献

大气污染物SO_2、NO_X、NH_3是形成二次细颗粒物(PM_(2.5))的重要无机前体物。为控制PM_(2.5)污染,要求形成一套便于炼化企业自身核算无机前体物排放对PM_(2.5)贡献的方法体系。探讨了基于排放清单、PM_(2.5)化学组成和NH_4~+/SO_4~(2-)摩尔浓度比值所建立的计算模型的合理性和可行性,并将其用于某炼厂进行案例分析。结果表明,所建立的计算模型可满足炼化企业PM_(2.5)核算要求,用于核算无机前体物排放对PM_(2.5)最大贡献量。案例企业排放前体物转化形成的PM_(2.5)等效排放量远高于该企业PM_(2.5)直接排放量,应予以关注。     

我国长江流域中三角区域大气污染物排放特征研究

中三角区域已经是我国第四个国家级城市群,也将成为我国经济增长的"第四极"。在经济发展的同时,更需要以节能减排、资源环境等为重点,以实现经济建设与生态文明"双可持续"的协同发展。本文以二氧化硫、氮氧化物、烟(粉)尘为主要大气污染物,对我国中三角区域大气污染物排放进行了详细的分析,并与京津冀、长三角、珠三角、"三区十群"等进行了多方位比较。结果表明,2013年中三角区域二氧化硫排放量为151.7万t,其中工业二氧化硫排放量为140.1万t;氮氧化物排放量为147.2万t,其中工业氮氧化物排放量为93.6万t;烟(粉)尘排放量为81.8万t,其中工业烟(粉)尘排放量为71.4万t。中三角区域二氧化硫、氮氧化物、烟(粉)尘排放量均位于"四极"的第三。中三角区域二氧化硫、氮氧化物、烟(粉)尘单位GDP排放强度分别为25.03t/亿元、24.29 t/亿元、13.50 t/亿元,分别位于"四极"的第一、第二、第二。同时,本文还从经济发展模式、产业结构调整、煤炭消费方式等方面对我国中三角等经济"四极"提出了相关建议。     

基于产业链分析的长三角地区CO2与大气污染物排放研究

长三角地区作为我国大气污染较为严重区域之一,如何在保持经济增长的同时减少CO₂与大气污染物的排放已成为一个重要挑战。本研究基于2007年与2012年长三角区域间投入产出表,定量分析了长三角地区省市间贸易引致的二氧化碳和大气污染物排放转移特征和变化趋势。同时,运用产业关联系数法,从前向关联与后向关联双重视角分析了长三角地区减缓CO₂和大气污染物排放的关键行业。研究结果表明,长三角的SO₂、PM_2.5排放总量表现为消费端大于生产端,CO₂、NO_x排放总量表现为生产端大于消费端。安徽省总体呈现为长三角地区贸易的SO₂、NO_x与PM_2.5排放净调出地,而上海与浙江表现为多数污染物排放净调入地。CO₂与大气污染物协同前向减排的关键行业为江苏省、浙江省和安徽省的电力、热力的生产和供应业,安徽省的煤炭开采和洗选业等,可以通过生产端技术革新和能源结构优化来促进减排;CO₂与大气污染物后向协同减排的关键行业为江苏省、浙江省和安徽省的建筑业等,对于这些行业,调整消费结构是有效的减排措施。为更好地制定长三角地区减排与污染防治政策,应当综合考虑行业减排、协同减排等,以确保经济持续增长的同时达到减排目标。     

Purification of oxyfuel-derived CO2

Oxyfuel combustion in a pulverised fuel coal-fired power station produces a raw CO₂ product containing contaminants such as water vapour plus oxygen, nitrogen and argon derived from the excess oxygen for combustion, impurities in the oxygen used, and any air leakage into the system. There are also acid gases present, such as SO₃, SO₂, HCl and NO_x produced as byproducts of combustion. At GHGT8 (White and Allam, 2006) we presented reactions that gave a path-way for SO₂ to be removed as H₂SO₄ and NO and NO₂ to be removed as HNO₃. In this paper we present initial results from the OxyCoal-UK project in which these reactions are being studied experimentally to provide the important reaction kinetic information that is so far missing from the literature. This experimental work is being carried out at Imperial College London with synthetic flue gas and then using actual flue gas via a sidestream at Doosan Babcock's 160 kW coal-fired oxyfuel rig. The results produced support the theory that SO_x and NO_x components can be removed during compression of raw oxyfuel-derived CO₂ and therefore, for emissions control and CO₂ product purity, traditional FGD and deNO_x systems should not be required in an oxyfuel-fired coal power plant.     

Quantifying the sources of ozone, fine particulate matter, and regional haze in the Southeastern United States

A detailed sensitivity analysis was conducted to quantify the contributions of various emission sources to ozone (O₃), fine particulate matter (PM_2.5), and regional haze in the Southeastern United States. O₃ and particulate matter (PM) levels were estimated using the Community Multiscale Air Quality (CMAQ) modeling system and light extinction values were calculated from modeled PM concentrations. First, the base case was established using the emission projections for the year 2009. Then, in each model run, SO₂, primary carbon (PC), NH₃, NO_x or VOC emissions from a particular source category in a certain geographic area were reduced by 30% and the responses were determined by calculating the difference between the results of the reduced emission case and the base case.The sensitivity of summertime O₃ to VOC emissions is small in the Southeast and ground-level NO_x controls are generally more beneficial than elevated NO_x controls (per unit mass of emissions reduced). SO₂ emission reduction is the most beneficial control strategy in reducing summertime PM_2.5 levels and improving visibility in the Southeast and electric generating utilities are the single largest source of SO₂. Controlling PC emissions can be very effective locally, especially in winter. Reducing NH₃ emissions is an effective strategy to reduce wintertime ammonium nitrate (NO₃NH₄) levels and improve visibility; NO_x emissions reductions are not as effective. The results presented here will help the development of specific emission control strategies for future attainment of the National Ambient Air Quality Standards in the region.     

Economic and Environmental Analysis of Retrofitting a Large Office Building with Energy-Efficient Lighting Systems

An evaluation of the economic and environmental costs and benefits that would result if the Zorinsky Federal Building, located in Omaha, Nebraska, USA, converted its current lighting system to a more energy-efficient system (i.e., joined the EPA's Green Lights Program) was conducted. Lighting accounts for 20–25 percent of all electricity sold in the United States. Costs considered in the study included the cost of retrofitting the building's existing lighting system and the cost of disposal of the current lamps and ballast fixtures. Benefits included a reduction of electric utility costs and a reduction of emissions of SO₂, NO _x , CO₂, and CO from electric utility power plants. Environmental and health issues for air pollutant emissions were also addressed. The results showed that significant reductions in utility bills as well as reductions in air emissions would result from a major building converting to a more energy efficient lighting system. The results showed that conversion of this large building would reduce SO₂ emissions by 14.6 tons/yr and NO _x emissions by 6.3 tons/yr. In addition, the conversion would reduce annual energy costs by approximately $114,000.     

Energy Use and Sulphur Dioxide Emissions in Asia

This paper presents a review of energy use in 22 selected countries of Asia and estimates the anthropogenic emission of sulphur dioxide (SO₂) for the selected countries, both at national and disaggregated sub-country regional levels. The paper also makes a comparative assessment of the Asian countries in terms of SO₂emission intensity (i.e. emission per GDP), emission per capita and emission density (i.e. emission per unit area). Total SO₂emission in the region was estimated to be about 38 million tons in 1990. Five countries, China, India, South Korea, Japan and Thailand, accounted for over 91% of the regional SO₂emission. Coal use had the dominant share (81%) of the total emission from the region. Among the economic sectors, industry contributed the largest share (49%) to the total emissions of the selected countries as a whole, followed by the power sector (30%). These findings suggest the need for mitigation strategies focussed on the industry and power sectors of the major emitting countries in Asia.     

Trace Gas Emissions from Biomass Burning from Northeast Region in India—Estimates from Satellite Remote Sensing Data and GIS

Biomass burning associated with shifting cultivation areas from the northeastern region of India is an important source of trace gas emissions in the Southeast Asian region. In the present study, satellite data pertaining to IRS-P4 OCM data and DMSP-OLS has been used to quantify the intensity, areal extent and amount of biomass burnt in the northeastern region states at district level. Trace gas emissions have been quantified both by using IPCC based emission ratios and ground based emission ratios obtained from field based studies. Areal estimates with respect to shifting cultivation areas from IRS-P4 OCM satellite data of 4th April 2000 suggested nearly 112.99 km² of the northeastern region of India affected due to shifting cultivation. In the study, DMSP OLS nighttime data has been used to capture the real time fires during the dry season. The results suggested high amount of fires during the March season when compared to April and May. Using the emission ratios obtained from the ground-based studies and IPCC emission ratios, the emissions for the individual non-CO₂ trace gases have been computed in a GIS framework using the biomass data, combustion factors and emission ratios. Results suggested emissions of 2.063 Mt CH₄, 17.94 Mt CO, 1.419 Mt N₂O, and 51.28 Mt NO _x and 2.643 Mt release of CH₄, 3.7204 Mt CO, 0.145 Mt N₂O, and 8.477 Mt NO _x , respectively, from biomass burning due to shifting cultivation for the year 2000, from the northeastern region in India. The study highlights the importance of Satellite Remote sensing data and GIS in quantifying the trace gas emissions from biomass burning.     

Assessing the current practice and policy with recommendations for emission control strategy for coal‐fired thermal power plants under Indian regulatory framework emphasizing the roles of R&D

On December 7, 2015, the Ministry of Environment, Forest and Climate Change (MoEFCC), Government of India (GoI), promulgated stack emission standards for sulfur dioxide (SO₂), oxides of nitrogen (NO_x), and mercury (Hg) from coal‐fired thermal power plants (TPPs). These standards were promulgated in addition to tightening the emission standard for particulate matter. Thus far, the GoI and a non‐governmental organization (NGO) have recommended the use of limestone‐based flue‐gas desulfurization (FGD) technology for removing only SO₂ emissions, which would then require the application of additional technologies to remove the other regulated pollutants. A single technology, such as the Multi‐pollutants Control Technology (MPCT), which was recently developed elsewhere in the world and can remove all of the pollutants from the TPP, could be more economical than introducing separate technologies for the removal of each pollutant. Furthermore, unlike the limestone‐based FGD technology, which generates carbon dioxide (CO₂) during the desulfurization process, the MPCT does not increase power plant CO₂ emissions. Water consumption is also lower in MPCT than with the limestone‐based FGD technology. Thus, MPCT offers a lower carbon footprint as well as a lower water footprint than the limestone‐based FGD technology in accordance with the United Nations Environmental Programme's Sustainable Development Goals. In light of these observations, this article aims to assess current practices and policies and offers policy recommendations for Indian TPPs with the goal of providing a cogent technological solution that also strengthens the Decision Support System for the holistic protection of the Indian environment.