成都餐饮源PM_(2.5)及VOCs排放因子的探索

对成都8家社会餐饮企业排放的PM2.5和VOCs监测分析,结果表明,餐饮企业排放的PM2.5平均质量浓度为(1.32±0.84)mg/m3,VOCs平均质量浓度为(0.37±0.45)mg/m3,VOCs的主要成分是48%的苯系物,22%的烷烯烃以及20%的酮类。根据餐饮企业的活动水平和实际监测结果,以就餐人数为基准得到的PM2.5和VOCs的排放因子分别为0.80 g/(人·次)和0.11 g/(人·次),以用油量为基准得到的PM2.5和VOCs的排放因子分别为8.5 g/kg和1.4 g/kg。     

炼油企业挥发性有机物无组织排放通量监测现状与发展

炼油企业是重要的挥发性有机物(VOCs)人为排放源,排放的VOCs主要来自无组织源,监控及排放核算困难。笔者总结了国内外炼油企业VOCs排放通量监控及核算技术体系,综述了各类VOCs无组织排放通量监测技术的原理及适用范围,着重评述了工业场地VOCs无组织排放通量监测最佳实用技术——红外掩日通量监测(SOF)和差分吸收激光雷达(DIAL)及其在炼油企业的应用进展。总体上,SOF仪器及监测费用适中,但易受阳光等天气条件限制; DIAL几乎可全天候监测,但仪器及监测费用较高。SOF和DIAL监测的欧美炼油企业VOCs排放系数一般为0. 02%～0. 10%,约为排放清单值的3～10倍。国内炼油厂VOCs排放核算采用的排放系数约为美国排放清单值(0. 01%～0. 02%)的10倍,尚待实测校验和修订。VOCs无组织排放通量监测技术也可用于检查或评估炼油企业泄漏检测与修复(LDAR)等VOCs无组织排放控制效果。     

山东省传输通道城市大气中VOCs污染特征及化学活性研究

于2018年11月—2019年1月对山东7个传输通道城市大气中挥发性有机物(VOCs)开展现场监测,结合监测数据分析7市大气中VOCs污染特征。结果表明,监测期间7市大气中VOCs质量浓度范围为134 μg/m3～523 μg/m3,平均值为313 μg/m3,其中菏泽大气中VOCs浓度最高,聊城最清洁。菏泽大气的臭氧生成潜势最大,聊城最小。7市大气中VOCs的二次气溶胶生成潜势最大为济南,最小为济宁。菏泽大气中VOCs主要来自机动车尾气、涂料使用及溶剂挥发,济南、淄博、济宁和滨州大气中VOCs主要来源于机动车排放,德州和聊城大气中VOCs主要来源于煤炭燃烧。     

《涂料、油墨及胶粘剂工业大气污染物排放标准》(GB 37824—2019)解读

简述了我国涂料、油墨及胶粘剂工业的污染排放现状与特征,对《涂料、油墨及胶粘剂工业大气污染物排放标准》(GB 37824—2019)进行了解读。该标准在我国打赢蓝天保卫战三年行动计划的背景下发布实施,从全过程控制的角度构建了大气污染物排放指标体系,明确了以非甲烷总烃(NMHC)和总挥发性有机物(TVOC)为综合表征,与有毒有害特征污染物协调控制的挥发性有机物(VOCs)排放指标体系;提出了涂料、油墨、胶粘剂工业无组织排放控制要求和监测监控要求。指出,涂料、油墨及胶粘剂工业的VOCs控制以无组织排放为主,因此必须从源头减排入手,强化全过程控制和全生命周期控制,环境与安全协同,逐步实现行业可持续发展。     

《涂料、油墨及胶粘剂工业大气污染物排放标准》(GB 37824—2019)解读

简述了我国涂料、油墨及胶粘剂工业的污染排放现状与特征,对《涂料、油墨及胶粘剂工业大气污染物排放标准》(GB 37824—2019)进行了解读。该标准在我国打赢蓝天保卫战三年行动计划的背景下发布实施,从全过程控制的角度构建了大气污染物排放指标体系,明确了以非甲烷总烃(NMHC)和总挥发性有机物(TVOC)为综合表征,与有毒有害特征污染物协调控制的挥发性有机物(VOCs)排放指标体系;提出了涂料、油墨、胶粘剂工业无组织排放控制要求和监测监控要求。指出,涂料、油墨及胶粘剂工业的VOCs控制以无组织排放为主,因此必须从源头减排入手,强化全过程控制和全生命周期控制,环境与安全协同,逐步实现行业可持续发展。     

江苏省胶合板行业甲醛污染特征及排放系数

以年产量超过10 000 m3的生产企业为研究对象,采用现场调研与采样检测相结合的方法,分析江苏省胶合板行业甲醛污染特征和排放系数。筛选60家典型企业,计算其甲醛排放系数R值（甲醛/胶粘剂）和K值（甲醛/产值）两个指标,结果表明,该省胶合板企业R均值为0.001 65 kg/kg,K均值为0.46 kg/万元。使用酚醛树脂胶的胶合板经济附加值最高,且对大气环境更友好,脲醛树脂胶的甲醛排放系数最高,应逐步减少使用。     

某化学工业园区重点行业企业VOCs污染问题初探

针对某化工园区重点行业企业挥发性有机物(VOCs)污染问题,通过对其中50家企业的原料、设备、数据调查以及现场考察,总结其VOCs的使用种类与数量、治理设备与排放情况。对一些典型VOCs排放企业分析,提出针对性减污措施。根据化工园区的VOCs特点与危害性,提出管理、控制、治理等方面的建议。     

苏州市重点监控行业VOCs产生和排放特征调查与分析

通过调查与分析苏州市重点监控行业企业VOCs的产生和排放特征,调研典型企业,重点关注其涉及VOCs产生的工艺环节、原辅材料、排放浓度。结果表明:苏州市涉及VOCs排放企业行业众多,尤其以电子信息最多,其次为塑料橡胶制品行业、石油化工行业、纺织印染行业等。重点监控VOCs排放企业使用了大量有机溶剂,生产工艺中涉及VOCs排放的环节多,排放的VOCs种类多、成分复杂,具有行业特征。     

南通市夏季VOCs污染特征与来源研究

运用大气挥发性有机物(VOCs)快速在线连续自动监测系统,于2018年7月对南通市区环境空气中VOCs进行观测,分析VOCs的浓度状况、组成特征、对臭氧生成潜势的贡献及主要来源。结果表明:观测期间共检出100种VOCs,总挥发性有机物(TVOCs)的平均体积分数为(38. 18±23. 63)×10^-9,各物种体积分数从大到小顺序依次为烷烃>含氧有机物>芳香烃>卤代烃>烯、炔烃;芳烃和烯烃是最主要的活性物种,间/对二甲苯、甲苯、邻二甲苯等是VOCs的关键活性组分;利用PMF模型解析得到VOCs的主要污染来源是工业排放与溶剂使用、机动车尾气排放、燃料挥发排放和生物源排放。     

挥发性有机物在线监测系统在饮用水源地水体监测中的应用

水中挥发性有机物(VOCs)在线监测系统,实现了超声雾化法气液分离,并结合冷阱捕集解析技术,利用气相色谱质谱法监测水中VOCs。该法在25种VOCs质量浓度0.5~20μg/L范围内线性良好,线性相关系数均0.990,检出限为0.10~0.51μg/L,测定下限为0.40~2.04μg/L。通过与实验室法的比对,说明该法可达实验室监测仪器同等水平。     

江苏省工业VOCs排放现状与管理对策研究

运用排放因子法估算了江苏省主要工业行业VOCs排放量,结果显示石油炼制、有机化工、医药制造、装备涂装是排放量大的重点行业。基于江苏省VOCs排放与控制现状的分析,阐述了石油化工行业是工业VOCs管理控制的重点和难点,在研究总结国内外先进管理经验的基础上,提出了江苏省应在加快制定排放标准、制定企业监管措施、加强监控能力建设等建议,对地方大气环境管理具有参考价值。     

春季广州城区空气中VOCs来源解析

2013年4月在广州市区对大气中挥发性有机化合物(VOCs)进行了观测,对其变化特征和来源进行了分析。结果表明,观测期间测得的VOC总平均混合比为41.35×10~(-9),表现为烷烃芳香烃烯烃炔烃;利用PMF解析出观测时段内影响广州市区的9个VOCs主要来源,各源占比情况依次为:LPG排放老化VOC汽油挥发石化、未知源汽油车排放油漆溶剂柴油车排放天然源;与机动车相关和工业相关的来源分别占到了大气VOCs的46.8%和21.0%。     

宜兴市臭氧和挥发性有机物的浓度特征研究

于2016年对宜兴市大气挥发性有机物(VOCs)和臭氧(O_3)的变化特征进行了分析。结果表明,宜兴市O3年均值为62.92μg/m~3,其中冬季值最低(31.19μg/m~3),夏季值最高(94.96μg/m~3)。φ(VOCs)为(11.00~42.45)×10~(-9),其中丙酮(12.7%)、乙酸乙酯(8.8%)和丙烯(3.3%)等在VOCs中占比位于前3位。各站点φ(甲苯)/φ(苯)2,全年的φ(甲苯)/φ(苯)φ(乙苯)/φ(苯)φ(间、对二甲苯)/φ(苯)。指出VOCs主要来源为有机溶剂和道路交通,并受到一定的外来输送影响。各站点φ(VOCs)/φ(NOx)为0.94~2.44,O3处于VOCs敏感区。     

Organic Liquids Storage Tanks Volatile Organic Compounds (VOCS) Emissions Dispersion and Risk Assessment in Developing Countries: The Case of Dar-Es-Salaam City, Tanzania

The emission estimation of nine volatile organic compounds (VOCs) from eight organic liquids storage tanks companies in Dar-es-Salaam City Tanzania has been done by using US EPA standard regulatory storage tanks emission model (TANKS 4.9b). Total VOCs atmospheric emission has been established to be 853.20 metric tones/yr. It has been established further that petrol storage tanks contribute about 87% of total VOCs emitted, while tanks for other refined products and crude oil were emitting 10% and 3% of VOCs respectively. Of the eight sources (companies), the highest emission value from a single source was 233,222.94 kg/yr and the lowest single source emission value was 6881.87 kg/yr. The total VOCs emissions estimated for each of the eight sources were found to be higher than the standard level of 40,000 kg/yr per source for minor source according to US EPA except for two sources, which were emitting VOCs below the standard level. The annual emissions per single source for each of the VOCs were found to be below the US EPA emissions standard which is 2,000~kg/yr in all companies except the emission of hexane from company F1 which was slightly higher than the standard. The type of tanks used seems to significantly influence the emission rate. Vertical fixed roof tanks (VFRT) emit a lot more than externally floating roof tanks (EFRT) and internally floating roof tanks (IFRT). The use of IFRT and EFRT should be encouraged especially for storage of petrol which had highest atmospheric emission contribution. Model predicted atmospheric emissions are less than annual losses measured by companies in all the eight sources. It is possible that there are other routes for losses beside atmospheric emissions. It is therefore important that waste reduction efforts in these companies are directed not only to reducing atmospheric emissions, but also prevention of the spillage and leakage of stored liquid and curbing of the frequently reported illegal siphoning of stored products. Emission rates for benzene, toluene, and xylene were used as input to CALPUFF air dispersion model for the calculation of spatial downwind concentrations from area sources. By using global positioning system (GPS) and geographical information system (GIS) the spatial benzene concentration contributed by organic liquid storage tanks has been mapped for Dar-es-Salaam City. Highest concentrations for all the three toxic pollutants were observed at Kigamboni area, possibly because the area is located at the wind prevailing direction from the locations of the storage tanks. The model predicted concentrations downwind from the sources were below tolerable concentrations by WHO and US-OSHA. The highest 24 hrs averaging time benzene concentration was used for risk assessment in order to determine maximum carcinogenic risk amongst the population exposed at downwind. Established risk for adult and children at 2.9×10^-3 and 1.9×10^-3 respectively, are higher than the acceptable US-EPA risk of 1×10^-6. It is very likely that the actual VOCs concentrations in some urban areas in Tanzania including Dar-es-Salaam City are much higher than the levels reported in this study when other sources such as petrol stations and motor vehicles on the roads are considered. Tanzania Government therefore need to put in place: an air quality policy and legislation, establish air quality guidelines and acquire facilities which will enable the implementation of air quality monitoring and management programmes.     

Analysis of volatile organic compounds released during food decaying processes

A number of volatile organic compounds (VOCs) including acetone, methyl ethyl ketone, toluene, ethylbenzene, m,p-xylene, styrene, and o- xylene released during food decaying processes were measured from three types of decaying food samples (Kimchi (KC), fresh fish (FF), and salted fish (SF)). To begin with, all the food samples were contained in a 100-mL throwaway syringe. These samples were then analyzed sequentially for up to a 14-day period. The patterns of VOC release contrasted sharply between two types of fish (FF and SF) and KC samples. A comparison of data in terms of total VOC showed that the mean values for the two fish types were in the similar magnitude with 280 ± 579 (FF) and 504 ± 1,089 ppmC (SF), while that for KC was much lower with 16.4 ± 7.6 ppmC. There were strong variations in VOC emission patterns during the food decaying processes between fishes and KC that are characterized most sensitively by such component as styrene. The overall results of this study indicate that concentration levels of the VOCs differed significantly between the food types and with the extent of decaying levels through time.     

Comprehensive screening and priority ranking of volatile organic compounds in Daliao River,China

An analytical strategy for comprehensive screening of target and non-target volatile organic compounds (VOCs) in surface water was developed, and it was applied to the analysis of VOCs in water samples from Daliao River. The target VOCs were quantified using purge and trap-gas chromatography-mass spectrometry (P&T-GC/MS). Among 20 water samples, 34 VOCs were detected at least once. For the screening of non-target VOCs, the double distillation apparatus was used for the pre-concentration of VOCs prior to P&T-GC/MS analysis. Subsequently, deconvolution software and NIST mass spectral library were applied for the identification of the non-target compounds. A total of 17 non-target VOCs were identified. The most frequently detected VOCs (detection frequencies >80 %) included toluene, benzene, naphthalene, 1,2-dichloroethane, 1,1,2-trichloroethane, and methyl tert-butyl ether. The distribution of VOCs obviously varied according to the sampling sites. The total concentrations of VOCs in water samples collected from the heavily industrialized cities (Anshan and Liaoyang) and the busy port city (Yingkou) were relatively high. The top ten priority VOCs, including naphthalene, 1,2-dichloroethane, o-xylene, 1,3-dichlorobenzene, tetrachloroethene, 1,2-dichlorobenzene, 1,2,4-trichlorobenzene, ethylbenzene, m-xylene, and p-xylene, were obtained by the ranking of the detected VOCs according to their occurrence and ecological effects. These compounds should be given more attention in monitoring and drainage control strategies.     

福建省重点地区人为源VOCs排放清单

通过收集福建省福州、厦门、莆田、泉州、漳州和龙岩等重点地区人为源活动水平数据,通过排放因子法进行合理估算,计算2016年福建省重点地区人为源的VOCs排放量。结果表明,2016年福建省重点地区人为源VOCs排放量为47 262.8 t。VOCs排放主要由石油炼制、化工、建筑材料制造、塑料制品和食品饮料加工等行业贡献,占总排放量的62.0%。泉州市是VOCs污染排放的主要贡献城市,占全省重点地区VOCs总排放量的48.9%。     

《制药工业大气污染物排放标准》(GB 37823—2019)解读

简述了我国制药工业概况和行业挥发性有机物(VOCs)排放现状,解读了生态环境部和国家市场监督管理总局联合发布的《制药工业大气污染物排放标准》(GB 37823—2019),介绍了该标准的分类控制思路、控制重点、污染物控制指标设置、排放限值确定以及无组织控制要求等内容与特点。该标准从全过程控制的角度构建了适用于制药工业的VOCs控制指标体系,对完善制药工业污染物排放管理体系、补齐VOCs污染防治短板、打赢蓝天保卫战具有重要的支撑作用。     

2020年江苏省机动车排放污染分布特征及与大气质量耦合性研究

依据生态环境部2021年6月发布的《排放源统计调查产排污核算方法和系数手册》,结合本地实测数据,在对汽油车颗粒物(PM)排放系数进行测算的基础上,核算了2020年江苏省机动车PM、氮氧化物(NO_(X))、挥发性有机物(VOC_(S))的排放总量,分析了机动车排放污染分布特征及与大气质量的耦合关系。结果表明:2020年江苏省机动车PM、NO_(X)、VOC_(S)排放量分别为0.5×10^(4),3.71×10^(5),1.17×10^(5) t。从区域分布来看,苏州、南京、无锡3市的3项污染物排放总量及NO_(X)、VOC_(S)排放量均位列前3位,PM排放量位列前3位的是苏州、徐州、无锡。从车型、燃料类型和排放阶段来看,国Ⅳ及以下排放标准的汽油小型客车是机动车VOC_(S)排放控制的重点,国Ⅲ排放标准的重型柴油货车是机动车PM和NO_(X)排放控制的重点。分析区域机动车PM排放量与大气中PM_(2.5)来源解析结果的耦合关系,其间存在不同程度的正相关性,控制机动车污染对改善大气环境会产生积极成效,南京、徐州和盐城3市的成效会尤为明显。