广州市2020年春节期间烟花爆竹燃放对空气质量的影响

利用2020年春节期间(1月21～28日)广州市21个空气质量监测站气象和空气污染物数据及其中4个监测点位的单颗粒气溶胶质谱仪(single particle aerosol mass spectrometer,SPAMS)数据,研究烟花爆竹燃放对广州市及11个行政区空气质量的影响,并基于SPAMS 建立了烟花爆竹快速...     

广州城区黑碳气溶胶吸光增强特性研究

本研究运用最小相关系数法（MRS）,使用元素碳（EC）作为示踪物,得到一次排放的质量吸光效率（MAE_p）,结合黑碳仪（AE33）和有机碳/元素碳分析仪获得实测的质量吸光效率MAE_t,进而通过MAE_t/MAE_p的比值得出吸光增强系数（E_abs）.采样站点位于广州市城区暨南大学大气超级监测站,采样时间涵盖了干季（2019年1月26日~3月31日）和湿季（2018年5月1日~7月31日）.对广州市城区的黑碳气溶胶及其光学特征进行分析,EC在干季的平均浓度（1.93±1.38）μgC/m³高于湿季（1.46±0.75）μgC/m³,而E_abs520在干季的均值（1.26±0.34）低于湿季（1.63±0.55）.E_abs520在干湿季的日变化差异明显,但有机碳（OC）、EC、OC/EC、波长指数（AAE_470-660）均为干季高于湿季.分析发现气溶胶负载补偿参数k值与E_abs520在湿季呈现出较好的相关性,而在干季相关性较差,可能与生物质燃烧的影响有关;探讨了O₃、NO₂和SOC/OC对E_abs520的影响,在干季O₃与E_abs520的相关性较差（R²=0.21）,在湿季较好（R²=0.46）,SOC/OC却展现出了相反的关系,而NO₂在干季和湿季与E_abs520的相关性都较差（R²=0.01）,并发现温度对E_abs520存在一定的影响.通过后向轨迹聚类分析发现,长距离传输气团的的黑碳E_abs520值较高.     

水煤浆技术在呼和浩特市应用的可能性分析

本文介绍了水煤浆技术及其在环境治理中的应用前景和控制大气污染的作用 ,对水煤浆技术在呼和浩特市应用的可行性进行分析     

水泥工业大气污染物排放控制水平确立研究

国家修订发布了GB 4915-2013《水泥工业大气污染物排放标准》,新建企业自2014年3月1日起实施,现有企业自2015年7月1日起实施.在修订过程中,如何确定可行的大气污染物排放控制水平,成为标准限值确定的关键.标准编制组系统调查分析了我国水泥工业污染排放现状、污染控制技术应用情况、环境管理需求、国外标准控制水平等,提出了可行的排放控制要求.新标准扩大了标准适用范围,增加了污染物控制项目,提高了颗粒物、NOx等指标的排放控制要求,同时增加了适用于重点地区的大气污染物特别排放限值.新标准的实施将成为水泥工业污染防治、总量减排、调整产业结构、优化布局的重要抓手,新标准将促进水泥工业生产工艺和污染治理技术的进步.     

垃圾渗滤液污染含水层不同氧化还原带沉积物的pH缓冲能力

通过砂柱模拟实验研究含水层沉积物的pH缓冲能力及其在不同氧化还原带中的变化.结果表明,pH缓冲容量的本底值为324.93.pH-1mmol/kg,其中阳离子交换缓冲容量、碳酸钙缓冲容量、硅酸盐缓冲容量和次级缓冲容量的本底值分别为41.77.pH-1、86.53.pH-1、47.33.pH-1和149.31.pH-1mmol/kg.产甲烷带/硫酸盐还原带(MGZ/SRZ)、铁还原带(IRZ)、硝酸盐还原带(NRZ)和氧还原带(ORZ)中总的pH缓冲容量相对于本底值依次分别增加了12.4%、10.8%、19.8%和11.1%;各氧化还原带沉积物中的交换性阳离子(CEC)和交换性盐基离子(BEC)均小于本底值的11.59.pH-1和8.52.pH-1mmol/kg,各氧化还原带沉积物的盐基饱和度先升高后降低,都高于本底值的63.47%.因此,含水层沉积物有较强的pH缓冲能力.对垃圾渗滤液污染含水层不同氧化还原带沉积物pH缓冲能力的研究可为污染场地的修复提供理论依据.     

Comparison of manual and automated chambers for field measurements of N2O,CH4, CO2 fluxes from cultivated land

Chamber techniques can easily be applied to field trials with multiple small plots measuring carbon- and nitrogen-trace gas fluxes. Nevertheless, such chamber measurements are usually made weekly and rarely more frequently than once daily. However, automatic chambers do allow flux measurements on sub-daily time scales. It has been hypothesized that sub-daily measurements provide more reliable results, as diurnal variations are captured better compared to manual measurements. To test this hypothesis we compared automatic and manual measurements of N₂O, CO₂ and CH₄ fluxes from tilled and non-tilled plots of a rice–wheat rotation ecosystem over a non-waterlogged period. Our results suggest that both techniques, i.e., either manual or automatic chambers of N₂O and CO₂ emissions resulted in biased fluxes. The manual measurements were adequate to capture either day-to-day or seasonal dynamics of N₂O, CO₂ and CH₄ exchanges, but overestimated the cumulative N₂O and CO₂ emissions by 18% and 31%, respectively. This was due to neglecting temperature-dependent diurnal variations of C and N trace gas fluxes. However, the automatic measurements underestimated the cumulative emissions of N₂O and CO₂ by 22% and 17%, respectively. This underestimation resulted from chamber effects upon soil moisture during rainfall processes. No significant difference was detected between the two methods in CH₄ exchanges over the non-waterlogged soils. The bias of manual chambers may be significant when pronounced diurnal variations occur. The bias of automatic measurements can only be avoided/minimized if chamber positions are frequently changed and/or if chambers are automatically opened during rainfall events. We therefore recommend using automatic chambers together with continuous measurements of soil chamber moisture to allow for soil moisture correction of fluxes or to correct flux estimates as derived by manual chambers for possible diurnal variations.     

Source apportionment of daily fine particulate matter at Jefferson Street, Atlanta, GA, during summer and winter

The primary emission source contributions to fine organic carbon (OC) and fine particulate matter (PM2.5) mass concentrations on a daily basis in Atlanta, GA, are quantified for a summer (July 3 to August 4, 2001) and a winter (January 2-31, 2002) month. Thirty-one organic compounds in PM2.5 were identified and quantified by gas chromatography/mass spectrometry. These organic tracers, along with elemental carbon, aluminum, and silicon, were used in a chemical mass balance (CMB) receptor model. CMB source apportionment results revealed that major contributors to identified fine OC concentrations include meat cooking (7-68%; average: 36%), gasoline exhaust (7-45%; average: 21%), and diesel exhaust (6-41%; average: 20%) for the summer month, and wood combustion (0-77%; average: 50%); gasoline exhaust (14-69%; average: 33%), meat cooking (1-14%; average: 5%), and diesel exhaust (0-13%; average: 4%) for the winter month. Primary sources, as well as secondary ions, including sulfate, nitrate, and ammonium, accounted for 86 +/- 13% and 112 +/- 15% of the measured PM2.5 mass in summer and winter, respectively.     

Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: accuracy and uncertainty analysis

Mapping the spatial distribution of contaminants in soils is the basis of pollution evaluation and risk control. Interpolation methods are extensively applied in the mapping processes to estimate the heavy metal concentrations at unsampled sites. The performances of interpolation methods (inverse distance weighting, local polynomial, ordinary kriging and radial basis functions) were assessed and compared using the root mean square error for cross validation. The results indicated that all interpolation methods provided a high prediction accuracy of the mean concentration of soil heavy metals. However, the classic method based on percentages of polluted samples, gave a pollution area 23.54-41.92% larger than that estimated by interpolation methods. The difference in contaminated area estimation among the four methods reached 6.14%. According to the interpolation results, the spatial uncertainty of polluted areas was mainly located in three types of region: (a) the local maxima concentration region surrounded by low concentration (clean) sites, (b) the local minima concentration region surrounded with highly polluted samples; and (c) the boundaries of the contaminated areas.     

灾后企业选址问题的模型研究

建立了灾后企业选址的一种决策模型。对遭受自然或人为灾害打击中,不得不进行迁移的企业,如何实施有效的选址决策进行了研究,在给定假设的基础上,构造了一个非线性规划问题,提出了进行区位决策的迭代算法,并对如何解决已有多个企业及顾客有偏好的复杂情况进行了讨论,研究表明,在以市场竞争为导向的动态选址过程中,企业从最大程度地占有市场的目标出发,倾向于定位在一个特定的市场吸引点上。     

利用SPAMS研究上海秋季气溶胶污染过程中颗粒物的老化与混合状态

利用单颗粒气溶胶飞行时间质谱(SPAMS)于2011年11月11～18日在上海测量了气溶胶高污染过程中200 nm～2.0μm气溶胶的粒径谱及其化学组成.对气溶胶粒子的分类结果发现,灰霾天期间大气中主要存在OCEC、METAL、EC、SECONDARY和K-Na等5种气溶胶粒子,其粒子数分别占总数的27.4%、3.4%、7.3%、45.6%和5.4%,二次污染显著.观测得到的5类气溶胶颗粒中都包含18NH4+、80SO3-、96SO4-、97HSO4-、46NO2-、62NO3-、125H(NO3)2-等二次组分,说明灰霾天期间这些颗粒都经历了不同的二次过程或与二次组分进行了不同程度的混合,且随着灰霾的生成和发展,气溶胶不断老化,二次气溶胶粒子的信号迅速增强.OCEC粒子中97HSO4-的信号较强,说明SO2可能在气溶胶表面发生多相反应,同时因有机物的存在对气态硫酸参与气溶胶成核和增长起了重要作用,尤其是在严重污染的条件下,气态硫酸和有机蒸气相互作用可能加速了硫酸-有机颗粒物的形成.从气溶胶类型的谱分布可以发现,新鲜的EC气溶胶粒子排入大气后,其表面会不断附着18NH+4、80SO3-、96SO4-、97HSO4-、46NO2-、62NO3-、125H(NO3)2-等二次组分,EC颗粒在老化的过程中其类型逐步由EC气溶胶演变成二次气溶胶粒子.来自海洋的暖湿气流除了形成降水对气溶胶形成冲刷作用,使得二次气溶胶粒子和OCEC气溶胶粒子数明显降低以外,也将有机胺带入内陆,在清洁天气溶胶粒子中形成Amine粒子.