萧山区环境空气质量变化及其影响因素分析

利用杭州市萧山区环境空气的监测资料,采用空气综合污染指数、空气污染指数(API)、Daniel趋势检验等评价和分析方法,研究了萧山区"十一五"期间(2005—2010年)环境空气质量的变化趋势及其影响因素。结果显示:(1)PM10是萧山区环境空气中的首要污染物。SO2、PM10浓度以及空气综合污染指数先升高后降低,总体呈现不显著下降趋势,整体环境空气质量在2007年后逐年改善。(2)空气中NO2污染负荷系数逐年上升,NO2/SO2和污染物相关性分析结果表明,萧山区空气污染特征正处于由煤烟型向汽车尾气型转变的初期阶段。(3)萧山区月均API呈现出7-9月4-6月1-3月10-12月的变化特征。(4)在持续快速增长、能源消耗逐年增加的情况下,萧山区环境空气质量的改善说明节能减排、产业升级、污染源综合治理、能源清洁使用等措施对改善环境空气质量起到了关键作用。     

利用卫星遥感评估广西壮族自治区SO_2减排成效

基于2005—2012年OMI卫星遥感PBL SO2柱浓度数据分析了广西壮族自治区SO2污染的时空格局和变化特征,并结合燃煤火电厂SO2排放模型估算与工业经济增长数据,在时间、空间尺度上分析了自治区内不同区域的SO2污染对火电厂烟气脱硫政策的响应以及所呈现出的减排成效。结果表明,广西因火电厂脱硫政策驱动的SO2污染改善具有显著的空间异质性,自治区内高污染区的SO2浓度在2011—2012年出现了显著下降,而低污染区的SO2浓度则在8年中持续增长;排放模型估算结果显示,烟气脱硫驱动的火电厂SO2减排贡献将在2008年后持续下降,而遥感观测结果显示,广西全区SO2半年浓度均值总体呈现波动上升趋势,2005—2012年浓度增加了8.6%、年均增长约0.9%;综合工业经济增长数据发现,近年来其他工业源的增量排放已给广西SO2减排带了新挑战,而这一变化仍未得到相关决策部门关注,存在明显缺陷的SO2统计排放量数据尚未得到修正。针对上述污染变化新特征,政府相关部门应引起足够重视,尽快更新完善污染源信息并启动针对其他污染源的限排措施,以确保环境持续改善。     

江苏省大气污染和酸雨的现状及预测

利用区域酸沉降模式模拟了江苏省197年和2000年大气污染物浓度和酸沉降的空间分布，根据未来的能源规划，进一步预测了该省2005年和2010年的大气环境发展状况。研究表明，江苏1997年SO2和S沉降污染较为严重的为苏北徐州、淮阴和苏南镇江、常州一带，而苏中地区尚不严重。SO2年均地面质量浓度最大值出现在镇江，为55μg/m^3，全省SO2排放140万t，折合成S为70万t，造成本地区S沉降46万t。未来的大气SO2浓度和S沉降呈现增加态势，考虑能源结构调整条件下的大气环境污染状况比不考虑的情形有所改善。     

小型燃油锅炉大气污染物的排放管理控制

燃料燃烧过程是大气污染物的重要来源之一,对人体健康,空气质量和气候变化具有非常重要的影响;管理控制是控制污染物排放的重要手段.以85台小型燃油锅炉(≤10.5 MW)燃料特性分析数据和污染物排放实测数据为基础,通过统计分析方法,分析了中国在用燃油品质以及大气污染物的排放现状,讨论了小型燃油锅炉大气污染物排放管理控制的潜力与可行性.结果表明,对燃油品质的管理控制是有效控制燃烧过程大气污染物排放的重要措施,分别有95%和98%燃油的灰分和含硫量符合国家相关规定;所有测试锅炉PM排放浓度远低于<锅炉大气污染物排放标准>(GB/T 13271-2001)规定的最高允许排放限值,有90%以上的锅炉达到GB/T 13271～2001中SO2最高允许排放限值,有84%的锅炉达到GB/T 13271-2001中NOx最高允许排放限值;与其他国家相比,中国对小型燃油锅炉常规大气污染物排放的管理控制处于中等水平,应当适时开展对有害空气污染物的管理控制.     

环境空气质量自动监测站的管理与维护

随着工业化、城镇化的深入推进,二氧化硫、氮氧化物、烟粉尘和挥发性有机物等各类污染物排放到环境中,致使中国大气受到严重污染,给人体的健康、动植物的生长、发育和繁殖等带来负面的影响。为实时监测环境空气质量,建立环境空气质量自动监测站逐渐成为大气污染防治的主要手段。文中以环境空气质量自动监测站为研究对象,提出环境空气质量自动监测站管理与维护面临的问题,探讨相应的解决措施,以期为环境空气质量自动监测站的管理与维护提供参考依据。     

丽水市大气污染的时空分布特征及与气象要素的相关分析

利用2007-2010年丽水市逐日大气污染物浓度数据和地面气象观测资料,对PM10、SO2、NO23种大气污染物浓度进行了时空分布特征研究,进而探讨了气象要素对大气污染的影响.结果表明:2007-2010年,丽水市主要的3种大气污染物的负荷为PM10＞ NO2 ＞SO2,影响大气环境质量的污染物以PM10为主；总体来说,NO2的月均浓度基本达到《环境空气质量标准》(GB3095-1996)-级标准,冬半年(9-12月、1-2月)SO2的月均浓度仅达到二级标准,而夏半年(3-8月)月均浓度基本达到一级标准,PM10的月均浓度都达到二级标准(0.10 mg/m3)；在空间分布上,PM10、NO2的年均浓度都表现出东向西逐渐减少的特征,而SO2年均浓度主要体现为南向北递增的特征,3种大气污染物在空间上都表现为在东部缙云、青田等地的污染相对严重,而在西面的遂昌、龙泉等地的污染程度较轻;各种气象要素对大气污染的影响中,除了气压与3种大气污染物的浓度呈极显著正相关外,其他气象要素都表现为负相关,只是影响程度有所差异.气象要素对大气污染的影响不是单一作用的,而是通过多种气象要素相互配合、相互作用、综合反应来产生作用的.     

杭州城市可吸入颗粒物污染与气象条件关系的分级评价和BP神经网络评估

为了解杭州城市环境空气质量与气象条件之间的关系,利用杭州市区2003-2007年的可吸入颗粒物(PM10)浓度数据和气象资料,通过分级评价的方法和基于BP神经网络的污染物浓度评估模型,得到PM10浓度与气象条件的对应关系.结果表明,随着日降水量的增大,PM10浓度减小;风速与PM10浓度呈明显的负相关,随着风速的增大,PM10浓度明显减小;气象因素与PM10浓度之间呈非线性关系,大气能见度对PM10和相对湿度的变化极为敏感.随着PM10浓度的增大,大气能见度迅速降低,相对湿度越高,大气能见度则越低;近几年杭州市气象条件不利于大气污染物的扩散和清洗,是杭州城市环境空气质量上升缓慢的主要原因之一.     

杭州市区大气能见度变化趋势及其与主要污染物相关性分析

利用2004-2006年地面气象观测资料和同期环境空气质量自动监测数据,分析了杭州市区大气能见度变化趋势及其与主要污染物的相关性.结果表明,杭州市区能见度的日分布特征为14时最好,8时最差;季节变化特征为夏季>春季>秋季>冬季,全年仅7月能见度超过10 km;SO2、NO2、PM10浓度均随能见度增高而逐渐降低;影响能见度的首要因子为相对湿度和PM2.5,能见度与PM2.5浓度具有较好的相关性.     

秸秆成型燃料锅炉污染物排放规律试验研究

根据锅炉烟尘测试方法(GB 5468-91)及锅炉大气污染物排放标准(GB 13271-2001),在不同风门的工况下,分别对设计的双层炉排秸秆成型燃料锅炉污染物排放规律进行试验.试验表明,在较好工况下,双层炉排锅炉排烟中CO等中间产物及烟尘含量低于单层炉排锅炉,其排烟中CO、NOx、SO2和烟尘浓度等指标远远低于燃煤锅炉,符合国家关于工业锅炉大气污染物排放标准要求,有较好环保效益.     

某工业区夏季环境空气质量变化的小波分析

小波分析可以分解出时-频信号,因此适用于对时变信号的局部分析.基于此,小波分析已在包括环境科学等多个领域中得到广泛应用.运用Daubenchies小波,对某工业区2002年和2004年夏季环境空气中SO2浓度进行了分析.结果表明,引起该工业区2004年夏季SO2浓度上升的主导因素是大范围时空尺度环境空气质量的变化;而该工业区内部局地污染源的污染贡献率下降,表明其环境综合整治取得了成效.     

焚烧秸秆对城市空气质量的影响及对策

通过夏收季节农民焚烧秸秆的烟尘，引起对城市环境空气质量变化的分析，结果表明：焚烧秸秆对城市环境空气质量有很大影响，使环境空气质量明显下降，而主要污染物为可吸入颗粒物PM10。有关部门应采取有效措施，禁止焚烧秸秆，同时应积极为农民寻找合理利用秸秆的途径，减少对城市空气的烟尘污染。     

A study on dynamic volatile organic compound emission characterization of water-based paints

Volatile organic compounds (VOCs) emitted from surface coatings have caused growing public concern for air quality. Even the low-emitted VOC impact from water-based paints on indoor air quality in urban areas has caused concern. This paper presents experimental data using a mathematical model to simulate dynamic VOC emissions from water-based paints that is based on mass transfer and molecular diffusion theories. A series of field-analogous experiments were carried out to continuously measure the VOCs emitted from two typical water-based paints using a gas chromatography-flame-ionization detector monitor in an artificial wind tunnel system. In the study cases, the mass flux of VOCs emitted from the water-based paints was up to 50 microg/m2sec. It was found that the time needed to completely emit VOCs from water-based paints is just hundreds of seconds. However, the order of magnitude of the VOC emission rate from water-based paints is not lower than that from some dry building materials and solvent-based paints. The experimental data were used to produce a useful semiempirical correlation to estimate the VOC emission rates for water-based paints. This correlation is valid under appropriate conditions as suggested by this work with a statistical deviation of +/- 7.6%. With this correlation, it seems feasible to predict the dynamic emission rates for VOCs during a painting process. This correlation is applicable for assessing the hazardous air pollutant impact on indoor air quality or for environmental risk assessment. Associated with the dynamic VOC emission characterization, the air-exchange rate effect on the VOC emission rates is also discussed.     

A New Approach to Setting Vehicle Emission Standards

Urban ambient air quality trend analysis was evaluated as an alternative to rollback analysis to estimate vehicle emission standards needed to achieve national ambient air quality standards. Examination of the trends of monthly maximum 8 hour average carbon monoxide concentrations, central business district traffic activity, and emission rates from vehicles on the road suggests that the automotive exhaust emission standard for carbon monoxide derived in response to the requirements of the Clean Air Act Amendments of 1970 may be ten times too severe. The excessive stringency of the vehicle emission standard for carbon monoxide was confirmed by two different analyses of the correlation between annual mean carbon monoxide concentration and frequency of occurrence of carbon monoxide concentrations above the level of the 8-hour standard. One correlation analysis using all available CAMP data involved an empirical approach and the other assumed that carbon monoxide concentrations are described by the lognormal distribution. Based on the analysis of CAMP air quality data, a vehicle carbon monoxide emission standard of approximately 29 grams per mile appears adequate to meet the ambient air quality standard. The large difference between the results of this analysis and the 1976 Federal vehicle carbon monoxide emission standard indicates the advisability of applying this methodology to verification of the standards for hydrocarbons and oxides of nitrogen.     

The influence of meteorological conditions and stringent emission control on high TSP episodes in istanbul

Istanbul has faced serious air pollution problems since the mid-80s. This is mainly due to particulate air pollution coming from poor quality lignite in areas, which are heavily populated and industrialized. As a consequence of severe air pollution problems, stringent control on the emissions in the city started in the year of 1994. In this work, in order to study the relationship between emissions and meteorological conditions, an assessment of air pollution episodes and air pollution potential in the city is presented for the terms at the changed emission schedule as the influence of an emission reduction strategy. The influence of meteorological conditions on the TSP (total suspended particulates) levels is considered for two consecutive winter periods. On this occasion, the city has faced different TSP levels and episode characteristics depending on stringent emission reductions covering the banned, poor-quality lignite and fuel switching. For this purpose, climatological conditions and air quality analyses were performed.     

燃油锅炉燃烧过程SO2的生成与排放特征

燃料燃烧过程是大气污染物的重要来源之一，对人体健康、空气质量和气候变化产生非常重要的影响。以62台燃油锅炉（≤10.5 MW）的燃料特性分析数据和SO₂排放实测数据为基础，通过统计分析方法，研究了燃油燃烧过程中燃油硫含量S和过量空气系数α对硫的转化率、SO₂排放因子和排放浓度的影响，获得了基于燃料消耗量、燃料发热量的SO₂排放因子EF_C、EF_H以及SO₂标态折算浓度C′_SO2与硫含量S间的关联式。结果表明，在过量空气系数α＞1的燃油燃烧过程中，EF_C、EF_H、C′_SO2与燃油硫含量S呈现出显著的线性正相关性，而与过量空气系数α无关，其关系式分别为：EF_C=18.86602×S，EF_H=443.78751×S ，C′_SO2＝1 509.28337×S；硫转化率η和基于燃料硫含量的SO₂排放因子EF_S则与燃油硫含量S和过量空气系数α无关，其平均值分别为96.3％和1.93 kg/kg。     

真空紫外灯动态降解空气中低浓度甲醛的研究

以集中空调中处理室内可挥发性有机物(VOCs)为应用背景,搭建了试验台.实验研究了真空紫外灯(主波长254 nm,185 nm)降解甲醛的影响因素以及产生O3的情况.研究表明,在产生的O3浓度低于室内空气质量标准(0.16mg/m3)的情况下,真空紫外灯也能够高效地降解空气中低浓度甲醛(＜1 mg/m3);甲醛降解率与反应器空气流速及甲醛初始浓度成反比;降解速率与甲醛初始浓度成正比,与反应器空气的流速成反比;绝对湿度对真空紫外灯降解甲醛有一定的影响;反应器空间大小对甲醛降解影响比较显著.应用于集中空调系统净化室内空气中VOCs,取得了很好的效果.     

Alternate approaches for assessing impacts of oil sands development on air quality: A case study using the First Nation Community of Fort McKay

Previous analyses of continuously measured compounds in Fort McKay, an indigenous community in the Athabasca Oil Sands, have detected increasing concentrations of nitrogen dioxide (NO₂) and total hydrocarbons (THC), but not of sulfur dioxide (SO₂), ozone (O₃), total reduced sulfur compounds (TRS), or particulate matter (aerodynamic diameter <2.5 μm; PM_2.5). Yet the community frequently experiences odors, dust, and reduced air quality. The authors used Fort McKay’s continuously monitored air quality data (1998–2014) as a case study to assess techniques for air quality analysis that make no assumptions regarding type of change. Linear trend analysis detected increasing concentrations of higher percentiles of NO₂, nitric oxide (NO), and nitrogen oxides (NO_x), and THC. However, comparisons of all compounds between an early industrial expansion period (1998–2001) and current day (2011–2014) show that concentrations of NO₂, SO₂, THC, TRS, and PM_2.5 have significantly increased, whereas concentrations of O₃ are significantly lower. An assessment of the frequency and duration of periods when concentrations of each compound were above a variety of thresholds indicated that the frequency of air quality events is increasing for NO₂ and THC. Assessment of change over time with odds ratios of the 25th, 50th, 75th, and 90th percentile concentrations for each compound compared with an estimate of natural background variability showed that concentrations of TRS, SO₂, and THC are dynamic, higher than background, and changes are nonlinear and nonmonotonic. An assessment of concentrations as a function of wind direction showed a clear and generally increasing influence of industry on air quality. This work shows that evaluating air quality without assumptions of linearity reveals dynamic changes in air quality in Fort McKay, and that it is increasingly being affected by oil sands operations.

Implications: Understanding the nature and types of air quality changes occurring in a community or region is essential for the development of appropriate air quality management policies. Time-series trending of air quality data is a common tool for assessing air quality changes and is often used to assess the effectiveness of current emission management programs. The use of this tool, in the context of oil sands development, has significant limitations, and alternate air quality change analysis approaches need to be applied to ensure that the impact of this development on air quality is fully understood so that appropriate emission management actions can be taken.     

Assessment of emissions data for the Toronto region using aircraft-based measurements and an air quality model

An aircraft-based measurement campaign was conducted during the summer of 1996 in the vicinity of Toronto, Canada. The objective of the campaign was to assess the errors in a particular emission inventory used by three-dimensional air quality models. Measurements of NO₂ and hydrocarbons were made both upwind and downwind of Toronto, on days with strong synoptic-scale flow from a west to northerly direction. The chemical composition of the background airmass on these days was typical of unpolluted continental air. Measurements have been compared with the output from an on-line air quality model (MC2-AQ) run at 5 km resolution and suggest that emissions of NO_x from Toronto are well described in the emission database, though evidence that NO_x emissions are underestimated for suburban regions surrounding Toronto was found. In general, no significant underestimation of hydrocarbon emissions was found, though emissions of the model propane species, which includes acetylene and benzene, was underestimated by at least a factor of two.     

Selected International Receptor-Based Air Quality Standards

Abstract

The ambient air quality standards (AAQS) of twenty-one nations for eight commonly regulated substances are presented. Many countries are adding a receptor-based component to their air quality management, which traditionally have been emission oriented. Automation of air quality monitoring stations has meant that local air quality evaluation can now be more easily achieved. However, a majority of countries have no active air quality standards (emission or receptor-based) or ambient air quality monitoring. One possible monitoring procedure is outlined and the variation in international standards is discussed.     

Assessment of the emissions and air quality impacts of biomass and biogas use in California

It is estimated that there is sufficient in-state “technically” recoverable biomass to support nearly 4000 MW of bioelectricity generation capacity. This study assesses the emissions of greenhouse gases and air pollutants and resulting air quality impacts of new and existing bioenergy capacity throughout the state of California, focusing on feedstocks and advanced technologies utilizing biomass resources predominant in each region. The options for bioresources include the production of bioelectricity and renewable natural gas (NG). Emissions of criteria pollutants and greenhouse gases are quantified for a set of scenarios that span the emission factors for power generation and the use of renewable natural gas for vehicle fueling. Emissions are input to the Community Multiscale Air Quality (CMAQ) model to predict regional and statewide temporal air quality impacts from the biopower scenarios. With current technology and at the emission levels of current installations, maximum bioelectricity production could increase nitrogen oxide (NO_x) emissions by 10% in 2020, which would cause increases in ozone and particulate matter concentrations in large areas of California. Technology upgrades would achieve the lowest criteria pollutant emissions. Conversion of biomass to compressed NG (CNG) for vehicles would achieve comparable emission reductions of criteria pollutants and minimize emissions of greenhouse gases (GHG). Air quality modeling of biomass scenarios suggest that applying technological changes and emission controls would minimize the air quality impacts of bioelectricity generation. And a shift from bioelectricity production to CNG production for vehicles would reduce air quality impacts further. From a co-benefits standpoint, CNG production for vehicles appears to provide the best benefits in terms of GHG emissions and air quality.

Implications:?This investigation provides a consistent analysis of air quality impacts and greenhouse gas emissions for scenarios examining increased biomass use. Further work involving economic assessment, seasonal or annual emissions and air quality modeling, and potential exposure analysis would help inform policy makers and industry with respect to further development and direction of biomass policy and bioenergy technology alternatives needed to meet energy and environmental goals in California.