我国几种典型树种非甲烷烃类的排放特征

采用封闭式采样法和带有预浓缩及程序升温装置的熔融毛细管柱气相色谱仪，对我国的松、柏、杨、槐等几种典型树种排放非甲烷烃类（ＮＭＨＣ）的组成和排放速率进行了定性和定量测定，初步确定了不同树种和的特征物种和排放规律，结果表明，针叶树种和阔叶树种排放的ＮＭＨＣ组成差别很大，各树种的排放规律除了与自身的结构和生理活动等在内在因素有关外，还在不同程度上受到外界因素（主要是温度和光强）的影响，一般温度越高，光强     

NOx分解还原催化研究进展

介绍和评价了ＮＯ_ｘ分解还原的３类催化剂：贵金属催化剂、氧化物催化剂、金属离子置换的分子筛。在ＮＯ_ｘ的碳氢化合物选择性催化还原反应（ＨＣ－ＳＣＲ反应）中，同样有３类催化剂，即金属氧化物、贵金属和分子筛。由于Ｃｕ－ＺＳＭ－５是目前最有希望投入实际使用的一种，故本文重点介绍了它对ＮＯ_ｘ的ＨＣ－ＳＣＲ反应的催化机理，以及温度、Ｏ_２含量、Ｃｕ~（２＋）的置换度、不同种类ＨＣ及ＨＣ含量等各种因素对Ｃｕ－ＺＳＭ－５的影响，并对其工作台试验进行了评价，指出了其存在的问题及当前的研究热点。     

毛细管气相色谱-质谱-微机联用测定大气中的碳氢化合物

本工作以无分流方式进样,对低碳到高碳(C_1—C_(11))的碳氢化合物进行色谱分析,然后用色谱-质谱-微机联用进行定性、定量分析、采用本法从燕山大气样品中鉴定出45种化合物,其特点是省时,灵敏度较高。     

毛细管气相色谱—负离子化学电离源质谱法测定空气颗粒物中的硝基？…

本文用毛细管气相色谱－负离子化学电离源质谱法（ＧＣ－ＮＩＣＩＭＳ）测定了空气颗粒物中的硝基多环芳烃（ＮＯ２－ＰＡＨ）,通过与标准的保留时间和质谱图的比较,确定了空气颗粒物中含有四种ＮＯ２－ＰＡＨ,它们是２９－硝基芴,９－硝基蒽,１－硝基芘和２－硝基萤蒽。用同一样品进行了毛细管气相色谱正离子电子轰击源质谱分析,并与ＧＣ－ＮＩＣＩＭＳ进行比较     

福建省沿海地区海盐和大气污染物反应的致酸作用

本文着重研究福建省沿海地区盐和大气污染物反应的致酸作用，从源排放估算、致酸前体物观测、大气气溶胶组成分析、降水离子特征分析四个层次进行讨论，结果表明ＨＣｌ人为排放源仅占ＳＯ２，ＮＯｓ的４％；大气中活性氯；ＨＣｌ最大浓度为４．２３μｇ／ｍ＾－３，Ｃｌ２最大浓度为３．９７μｇ．ｍ＾－３，气溶胶中Ｃｌ＾－／Ｎａ＾＋比和降水中Ｃｌ／Ｎａ＾＋比背离，降水中过量氯与Ｈ浓度呈现正相关，过量氯对Ｈ浓度最大贡献达３     

燕山地区大气污染源的识别及其贡献的研究

用因子分析方法识别燕山地区大气污染源,对总悬浮颗粒物(TSP),苯溶物(BS)以及12种无机元素、6种气体污染物在大气中的浓度进行分析,结果表明:TSP和BS浓度的年平均值比北京市内偏低,人为来源比天然来源对TSP的贡献大,BS的污染较轻。蒸山地区的大气污染应重点控制形成二次污染物的NO_x、SO_2和活性碳氢化合物的排放。     

大气中PAN的测定及其与前体物的关系

对北京中关村地区大气ＰＡＮ的监测结果表明：在强日照条件下，ＰＡＮ浓度随汽车等排放和ＮＯ２浓度的增加而增加，高ＰＡＮ浓度水平与高Ｏ３浓度相关联；夏季的ＰＡＮ浓度明显高于春季。模拟实验的结果证实：Ｃ３Ｈ６是大气中重要的ＰＡＮ前体物，在一定范围内，其浓度越高，ＰＡＮ浓度越大；Ｃ２Ｈ４生成ＰＡＮ是困难的，Ｈ２Ｏ２的存在对Ｃ２Ｈ４反应生成ＰＡＮ有促进作用；大气中ＳＯ２的存在可降低ＰＡＮ的生成速率。在〈４００     

天津市大港石化发展规划区大气SO2排放总量控制实例分析

污染物排放总量控制是控制环境污染、实现可持续发展的一项根本措施，本文在全面调查和监测天津市大港石化发展规划区大气ＳＯ２现状污染水平的基础上，分析和计算出该区域ＳＯ２排放控制总量。提出了在周围边缘重点大气污染源存在下对区域大气污染物排放总量方法的一种改进。     

气相色谱—表面发射光焰光度检测法测定有机锡和有机锗化合物

本文将自行研制的ＧＣ－ＦＰＤ系统用于有机锡和有机锗的形态分析，在最佳测定条件下，使用ＨＰ－１毛细管色谱柱和柱减法是样方法，成功地分离了九种有机锡化俣物和四种有机锗化合物，分别对样品的萃取、衍生方法以及仪器测定条件的优化等进行了讨论，并用本文所建方法分离和测定了环境样品中的有机锡化合物。     

水样品中重碳酸根离子排斥色谱法研究

本文研究了用离子排斥色谱法分析了水样品中重碳酸根的最佳色谱条件，分离方式和流动相的选择，样品溶液ｐＨ值与峰高的关系，实验结果显示，该方法具有简便，用样量少，灵敏度高于和干扰少等优点，测量下限为０．１２μｇ．ｍｌ＾－１ＨＣＯ＾－３在１－１０μｇ．ｍ＾－１和１０－１００μｇ．ｍｌ＾－１浓度范围内，ＨＣＯ３浓度与峰高的线性相关系数在０．９９５以上，该方法用于自来水和油田水样品的分析获得较好的结果。     

Prediction of non-methane hydrocarbons in Kuwait using regression and Bayesian kriged Kalman model

This article describes the hierarchical Bayesian approach for predicting average hourly concentrations of ambient non-methane hydrocarbons (NMHC) in Kuwait where records of six monitor stations located in different sites are observed at successive time points. Our objective is to predict the concentration level of NMHC in unmonitored areas. Here an attempt is made for the prediction of unmeasured concentration of NMHC at two additional locations in Kuwait. We will implement a kriged Kalman filter (KKF) hierarchical Bayesian approach assuming a Gaussian random field, a technique that allows the pooling of data from different sites in order to predict the exposure of the NMHC in different regions of Kuwait. In order to increase the accuracy of the KKF we will use other statistical models such as imputation, regression, principal components, and time series analysis in our approach. We considered four different types of imputation techniques to address the missing data. At the primary level, the logarithmic field is modeled as a trend plus Gaussian stochastic residual model. The trend model depends on hourly meteorological predictors which are common to all sites. The residuals are then modeled using KKF, and the prediction equation is derived conditioned on adjoining hours. On this basis we developed a spatial predictive distribution for these residuals at unmonitored sites. By transforming the predicted residuals back to the original data scales, we can impute Kuwait’s hourly non-methane hydrocarbons field.     

A multivariate prediction of spatial process with non-stationary covariance for Kuwait non-methane hydrocarbons levels

Predicting unmeasured realizations of multivariate spatial process responses is a fundamental problem in environmetrics. The study of levels of air pollutants is important for understanding and improving air quality in major urban areas. This research aims to handle the prediction in a Bayesian framework for non-methane hydrocarbons NMHC pollutant for the State of Kuwait where records of six monitor stations located in different sites are observed at successive time points. Our objective is to study the distribution level of NMHC with respect to time and metreological parameters and space and use this distribution to predict the concentration of NMHC in other sites of Kuwait using the minimum amount of data (reducing the cost). We will implement a hierarchical Bayesian approach assuming Gaussian random field technique that allows us to pool the data from different sites in predicting the exposure of the non-methane hydrocarbons in different regions of Kuwait.     

Sensitivity of Ozone Production to the Nmhc Composition, Aerosol Back-Scattering and High Chimney Emission

In this paper, three sensitivity studies are designed to analyze the effect of the NMHC (Non-Methane HydroCarbon) composition, the aerosol back-scattering and the high chimney NO_x emission to the photochemical prodution of ozone by using a one-dimensional photochemistry-diffusion model under a favourable meteorological condition. Measurements of the NMHC composition in Taipei indicated that the percentage of iso-butene, cis-2-butene, trans-2-butene and benzene in a unit volume was much higher than of those observed in other major cities. the high ratio of benzene was directly linked to its high percentage in gasoline. As to the unusually high amount of iso-butene, cis-2-butene and trans-2-butene, more researches are needed to identify their source. Concerns are raised as to how productive is NMHC composition is to the photochemical production of the surface ozone. A rough estimate shows that the total reactivity of the Taipei NMHC composition is about 1.21 × 10^-9 cm³ s^-1 which is 1.6 times that of the Los Angeles (LA) NMHC composition, while the simulated noon peak will be different by 28 ppbv, i.e. 18% more than that simulated with a LA composition.

Meanwhile, high aerosol loading is a serious problem in Taipei. the attenuation of the UV radiation by aerosols cannot be ignored. A numerical simulation shows that the noon ozone level will decrease from 178 to 141ppbv, i. e. about 21% reduction, with deterioration of the visual range from 85 to 5 km.

In the southern Taiwan, industry parks are mixed with the populated Kaohsiung city, hence the large emission of NO_x from high chimneys cannot be ignored. in this study, NO_x is assumed to be emitted in the layer between 235-460 m high with an emission rate of 0.05 or 0.145 ppbv/sec. the results show that the NO_x emitted from the elevated stack lead to a considerable reduction of surface ozone. Such conclusion is obtained due to the fact that a one-dimensional model is used in this paper. Whereas, if a three-dimensional regional model was used, then a higher productivity of ozone downstream would be simulated.     

Sensitivity of Ozone Production to the Nmhc Composition,Aerosol Back-Scattering and High Chimney Emission

Abstract

In this paper, three sensitivity studies are designed to analyze the effect of the NMHC (Non-Methane HydroCarbon) composition, the aerosol back-scattering and the high chimney NO _x emission to the photochemical prodution of ozone by using a one-dimensional photochemistry-diffusion model under a favourable meteorological condition. Measurements of the NMHC composition in Taipei indicated that the percentage of iso-butene, cis-2-butene, trans-2-butene and benzene in a unit volume was much higher than of those observed in other major cities. the high ratio of benzene was directly linked to its high percentage in gasoline. As to the unusually high amount of iso-butene, cis-2-butene and trans-2-butene, more researches are needed to identify their source. Concerns are raised as to how productive is NMHC composition is to the photochemical production of the surface ozone. A rough estimate shows that the total reactivity of the Taipei NMHC composition is about 1.21 × 10^?9 cm³ s^?1 which is 1.6 times that of the Los Angeles (LA) NMHC composition, while the simulated noon peak will be different by 28 ppbv, i.e. 18% more than that simulated with a LA composition.

Meanwhile, high aerosol loading is a serious problem in Taipei. the attenuation of the UV radiation by aerosols cannot be ignored. A numerical simulation shows that the noon ozone level will decrease from 178 to 141ppbv, i. e. about 21% reduction, with deterioration of the visual range from 85 to 5 km.

In the southern Taiwan, industry parks are mixed with the populated Kaohsiung city, hence the large emission of NO _x from high chimneys cannot be ignored. in this study, NO _x is assumed to be emitted in the layer between 235–460 m high with an emission rate of 0.05 or 0.145 ppbv/sec. the results show that the NO _x emitted from the elevated stack lead to a considerable reduction of surface ozone. Such conclusion is obtained due to the fact that a one-dimensional model is used in this paper. Whereas, if a three-dimensional regional model was used, then a higher productivity of ozone downstream would be simulated.     

Removal of multicomponent VOCs in off-gases from an oil refining wastewater treatment plant by a compost-based biofilter system

Waste gases from oil refining wastewater treatment plants are often characterized by the presence of multicomponent and various concentrations of compounds. An evaluation of the performance and feasibility of removing multicomponent volatile organic compounds (VOCs) in off-gases from oil refining wastewater treatment plants was conducted in a pilot-scale compost-based biofilter system. This system consists of two identical biofilters packed with compost and polyethylene (PE). This paper investigates the effects of various concentrations of nonmethane hydrocarbon (NMHC) and empty bed residence time (EBRT) on the removal efficiency of NMHC. Based on the experimental results and practical applications, an EBRT of 66 s was applied to the biofilter system. The removal efficiencies of NMHC were within the range of 47%–100%. At an EBRT of 66 s, the average removal efficiency of benzene, toluene, and xylene were more than 99%, 99%, and 100%, respectively. The results demonstrated that multicomponent VOCs in off-gases from the oil refining wastewater treatment plant could be successfully removed in the biofilter system, which may provide useful information concerning the design criteria and operation of full-scale biofilters.     

典型背景点降水化学组份的分析

全球背景降水划分为海洋型，内陆型和海洋与内陆相间型三种，以太平洋的Ａｍｓｔｅｒｄａｍ和大西洋的Ｓ；Ｇｅｏｒｇｅｓ为例，研究海洋型背景降水受海洋大气环流控制，化学组分来源于海洋气溶胶。分析了澳大利亚Ｋａｔｈｅｒｉｎｅ海洋与内陆相间型，背景降水化学组份来主要来源于海洋气溶胶和内陆大气污染传输两者的相关性。     

上海市宝山区大气降尘污染时空变化特征

为了探讨上海市宝山区大气尘降污染的时空变化特征,对上海市宝山区冬、春、秋季3个时段的大气降尘采样和分析,利用单因子指数法和空气污染指数法对宝山区降尘污染进行评价.结果表明,宝山区降尘通量为3.4-52.5 g·m~(-2)·month~(-1),各个季节的降尘总量上,春季高于冬季,秋季最低;从区域受污染范围大小看,春季>冬季>秋季,其中春季48.7%的区域受到污染;冬季最高降尘污染等级是三个季节中最高的,达到重污染水平;工业区的降尘通量和降尘污染等级都显著高于其他功能区,是宝山最主要的降尘污染源.     

Chemical identification and genotoxicity analysis of petrochemical industrial wastewater

The actual harmful effects of industrial wastewater can not be reflected by the conventional water quality index. Therefore, the change in dissolved organic matter and the genetic toxicity of petrochemical wastewater were observed in the current study by examining the wastewater treatment plant of a large petrochemical enterprise in Northwest China. Using XAD-8, MSC, and DA-7 resins, the wastewater was separated into six fractions, namely, hydrophobic acid (HOA), hydrophobic neutral (HOB), hydrophobic alkaline, hydrophilic acid, hydrophilic alkaline, and hydrophilic neutral. Umu-test was used to detect the genetic toxicity of the wastewater samples, and fluorescence spectra were also obtained to examine genetic toxic substances. The results show that wastewater treatment facilities can effectively reduce the concentration of organic matter in petrochemical wastewater (p<0.05). However, the mixing of aniline wastewater can increase the amount of organic carbon (p<0.05) and can overload facilities. This finding shows that the mixed collection and joint treatment of different types of petrochemical wastewater can affect the water quality of the effluent. Particularly, hydrophobic substances can be difficult to remove and account for a relatively large proportion of the effluent. The mixture of aniline wastewater can increase the genetic toxicity of the effluent (p<0.05), and biologic treatment can not effectively decrease the toxicity. Most of the genetic toxicology may exist in the HOA and HOB fractions. Fluorescence spectroscopy also confirms this result, and tryptophan-like substances may play an important role in genetic toxicity.     

快速液相色谱-串联质谱法测定环境空气中的全氟化合物

不同研究报道的空气中离子型全氟化合物(PFCs)的分析方法各不相同,本文的目的在于对比和优化不同分析条件。通过对比不同流动相(甲醇和乙腈)、不同色谱柱(C8和C18)、不同梯度洗脱条件下目标化合物的分离效果,确定了以甲醇为流动相、C18色谱柱为分离柱和最佳梯度淋洗液分离的仪器分析条件。比较了甲醇和正已烷/丙酮混合溶剂萃取气相(PUF)和颗粒相(GFF)样品的效果,确定以甲醇为萃取溶剂。建立了空气中PFCs的LC-MS/MS优化分析方法,方法线性范围在0.1~50 ng·m L~(-1)之间,PUF与GFF样品方法检出限分别为0.02~0.35 pg·m~(-3)和0.02~0.26 pg·m~(-3)。同时将方法用于大气实际样品分析。