大连地区生态植被所排放VOC的估算研究

根据实测的太阳总辐射在全波段的辐射照度Q（Wm^-2）估算出光合有效辐射照度UPAR（μmolm^-2S^-1）,利用各类植物的排放因子,估算出大连地区生态植被所排放的VOC,结果表明,生态植被所排放VOC的日变化规律即与植物本身有关又与气温和太阳辐射有关,区域内年排放VOC的总量为256.5t。     

基于无人机观测研究杭州湾化工园区近地面层臭氧垂直廓线

为了解化工园区大气污染情况,使用自主研制的微型大气检测仪结合无人机研究化工园区臭氧(O₃)垂直廓线,在2020年8月~2021年1月于杭州湾上虞经济技术开发区开展了12d无人机外场观测实验.各观测日从08:00~18:00每隔1h进行一次飞行观测,每次观测分别获得了离地面0,50,100,200,300,400,500m的O₃、总挥发性有机物(TVOCs)和二氧化氮(NO₂)浓度.结果表明:受气象因素、地面工厂排放以及早晚出行高峰的影响,TVOCs和NO₂浓度整体随高度增加而下降,其中NO₂浓度随高度上升而下降的幅度较明显,在0m处浓度为19.7~59.1μg/m³,500m处为5.9~21.7μg/m³,下降率为40~70%,TVOCs和NO₂浓度都呈现出早晚高、正午低的日变化趋势,此外可能受逆温层的影响导致个别天数NO₂浓度在400~500m不降反升;O₃受前体物光化学反应、太阳辐射强度及平流层输送的影响,其浓度随高度增加而下降,平均浓度在0m处为49.2μg/m³,500m处为98.4μg/m³,O₃日变化浓度在15:00~17:00达到峰值.TVOCs和O₃、NO₂和O₃在各高度浓度均呈负相关,受不同季节气象因素差异和冬季取暖排放增加的影响,O₃浓度季节变化为夏>秋>冬,TVOCs和NO₂浓度为冬季>秋季>夏季.后向轨迹聚类分析表明化工园区本地O₃浓度会受区域输送影响升高,在冬季时由于气温低不利于前体物生成O₃,本地O₃浓度受区域输送影响较夏季小.     

Seasonal variation of polycyclic aromatic hydrocarbons (PAHs) emissions in China

A regression model based on the provincial energy consumption data was developed to calculate the monthly proportions of residential energy consumption compared to the total year volume. This model was also validated by comparing with some survey and statistical data. With this model, a PAHs emission inventory with seasonal variation was developed. The seasonal variations of different sources in different regions of China and the spatial distribution of the major sources in different seasons were also achieved. The PAHs emissions were larger in the winter than in the summer, with a difference of about 1.3-folds between the months with the largest and the smallest emissions. Residential solid fuel combustion dominated the pattern of seasonal variation with the winter-time emissions as much as 1.6 times as that in the summer, while the emissions from wild fires and open fire straw burning was mainly concentrated during the spring and summer.     

Estimation of nitrogen balance between the atmosphere and Lake Balaton and a semi natural grassland in Hungary

The paper summarises the results to determine the fluxes of different N-compounds within the atmosphere and an aquatic and a terrestrial ecosystems, in Hungary. In the exchange processes of N-compounds between atmosphere and various ecosystems the deposition dominates. The net deposition fluxes are -730, -1270 and -1530 mg Nm(-2)yr(-1) for water, grassland, and forest ecosystems, respectively. For water, the main source of nitrogen compounds is the wet deposition. Ammonia gas is close to the equilibrium between the water and the air. For grassland the dry flux of nitric acid and ammonia is also an important term beside the wet deposition. Dry deposition to terrestrial ecosystems is roughly two times higher than wet deposition. A total of 8-10% of the nitrates and NH(x) deposited to terrestrial ecosystems are re-emitted into the air in the form of nitrous oxide (N2O) greenhouse gas.     

废气CEMS在线比对监测中的问题及解决方案

简述了目前比对监测工作的依据以及比对监测现状,指出了比对工作的常见问题,如共性问题、颗粒物比对监测、二氧化硫比对监测、流速比对监测、合理选择比对方法等,提出了相应的解决办法,监测人员应对各种参比监测方法熟练掌握,了解各个企业的CEMS系统原理、方法和工况,在保证监测数据准确性的前提下提高比对工作的一致性。     

大气中NH3的光学监测技术研究进展

NH3是大气中含量仅次于NO和N2的含氮化合物,也是大气中重要的碱性气体,作为酸性污染物的中和剂,NH3越来越受到人们的重视。文章介绍了大气NH3的主要农业和非农业排放来源,并详细介绍了近年来大气NH3的光谱测量技术(光声光谱技术,量子级联激光吸收光谱技术,傅里叶红外分析技术,可调谐半导体激光器吸收光谱技术以及紫外差分吸收光谱技术)及其进展,总结并分析了这些技术的技术要点、应用领域以及在最近10年对大气NH3的测量结果和研究热点。     

典型树种挥发性有机物(VOCs)排放成分谱及排放特征

为研究典型树种的挥发性有机物（VOCs）排放特征,并获得基础排放速率,应用动态封闭式采样系统对毛果杨、北美枫香和马尾松的排放进行了实验室测量.利用热脱附-气相色谱-飞行质谱仪对排放样品进行定性和定量分析,包括异戊二烯、单萜烯、倍半萜烯、烷烃和烯烃,计算获得各树种VOCs排放速率及其排放谱特征.研究表明：毛果杨、北美枫香和马尾松的总VOCs排放速率分别为19.51、17.19和0.67μg/（g·h）.毛果杨的异戊二烯排放最高（18.51μg/（g·h））,占其总排放的94.86%;马尾松排放的异戊二烯仅占4.03%,单萜烯贡献最高,为49.09%;北美枫香的单萜烯排放速率最高,为0.84μg/（g·h）;3个树种排放的倍半萜烯占各自VOCs总排放的比重均较小（<1.5%）;各树种的烷烃排放强度高于倍半萜烯,部分化合物甚至高于异戊二烯和单萜烯的排放强度.反式-β-罗勒烯是毛果杨排放最多的单萜烯化合物,占其单萜烯总排放的99.84%;北美枫香排放的单萜烯主要以香桧烯和β-蒎烯为主;马尾松以α-蒎烯、香桧烯和β-蒎烯为主.石竹烯、葎草烯、δ-杜松烯和β-愈创木烯是主要的倍半萜烯物种.烷烃排放主要为C4和C5的化合物,特别是异丁烷和正丁烷;各树种排放的烯烃中,1-丁烯排放占比最高.     

三江源地区高寒草地土壤功能的水平分异特征及其沿发生层的垂直变化

三江源地区是研究土壤生态系统功能响应气候变化的热点区域.为了研究三江源地区高寒草地土壤剖面功能特征和驱动机制沿发生层的差异,分析了高寒草地土壤剖面不同发生层的土壤功能指标(包括呼吸、氮转化速率和酶活等)以及与环境因子之间的相关关系.结果表明,土壤功能特征在高寒草甸和高寒草原之间不存在显著差异,表层土相比于深层土具有更高的呼吸、氮转化速率和酶活.土壤理化性质中全氮含量是不同发生层土壤功能特征的关键驱动因子,分别解释了土壤功能特征18.3%、21.4%和27.5%的水平分异.气候和植被因子主要在表层土中通过改变土壤理化性质间接影响土壤功能,但是大气氮沉降在深层土中对土壤功能仍存在影响.结果显示,三江源地区高寒草地土壤表现出显著的氮受限特征,为全球气候变化背景下土壤功能多样性的维持和对气候变化的响应提供了新的见解.     

Insight into the critical factors determining the particle number concentrations during summer at a megacity in China

To identify the critical factors impacting the number concentration of particles with the aerodynamic diameters less than 2.5 μm(PNC_(2.5)), the continuous measurement of PNC_(2.5),chemical components in PM_(2.5), gaseous pollutants and meteorological conditions were conducted at an urban site in Tianjin in June 2015. Results indicated that the average PNC_(2.5) was 2839 ± 2430 d N/dlog Dp 1/cm~3 during the campaign. Compared to other meteorological parameters, the relative humidity(RH) had the strongest relationship with PNC_(2.5), with a Pearson's correlation coefficient of 0.53, and RH larger than 30% influenced strongly PNC_(2.5).The important influence of secondary reactions on PNC_(2.5) was inferred due to higher correlation coefficients between PNC_(2.5) and SO_4~(2-), NO_3~-, NH_4~+(r = 0.78–0.89; p 0.01) and between PNC_(2.5) and ratios that represent the conversion of nitrogen and sulfur oxides to particulate matter(r = 0.42–0.49; p 0.01). Under specific RH conditions, there were even stronger correlations between PNC_(2.5) and NO_3~-, SO_4~(2-), NH_4~+, while those between PNC_(2.5) and EC, OC were relatively weak, especially when RH exceeded 50%. Principal component analysis(PCA) and Pearson's correlation analysis indicated that secondary sources, vehicle emission and coal combustion might be major contributors to PNC_(2.5). Backward trajectory and potential source contribution function(PSCF) analysis suggested that the transport of air masses originated from these regions around Tianjin(Liaoning, Hebei, Shandong and Jiangsu) influenced critically PNC_(2.5). The north of Jiangsu, the west of Shandong, and the east of Hebei were distinguished as major potential source-areas of PNC_(2.5) by PSCF model.     

铝电解工业全氟化碳减排途径研究

铝电解技术迈入了新的发展阶段,铝电解技术与设备的环保节能研究已成为技术发展的主题。在过去20年间,单位铝电解产品的全氟化碳(PFCs)排放削减量达86%。由于PFCs目前被认为具有高温室气体暖化潜势的气体,也是《京都议定书》控制的6种温室气体之一,对气候的影响能力不可忽视。全球各电解铝企业、环保部门及相关研究机构仍在不断努力探索各种减排措施。从铝电解工业中PFCs的排放状况、产生与排放机理、控制途径、激励措施等方面进行减排途径的研究和分析。