乌鲁木齐市2种主要温室气体浓度水平

利用2010年乌鲁木齐市近地面大气主要温室气体的自动监测数据,分析了CO2和CH4浓度的分布特征和时间变化规律.结果表明,乌鲁木齐市CO2小时浓度在(349.1～605.0)×10-6之间;采暖期浓度高,平均浓度为438.1 ×10-6,非采暖期浓度低,平均浓度为375.0×10-6.CH4浓度日变化明显,昼间低、夜间...     

2016-2020年常州市温室气体浓度及相关因素分析

基于2016-2020年常州市主要温室气体的监测数据,采用长时间序列分析和相关性分析等方法,研究了二氧化碳(CO2)和甲烷(CH4)浓度的变化趋势,分析了CO2和CH4与污染物和气象要素的相关性,初步探讨了生物源和人为源的影响.结果 表明:常州市大气CO2和CH4年平均浓度分别为416.4 ppm和1635.7 ppb...     

北京大气CH4、CO2、TOC日变化规律及垂直分布的自动连续观测

提出了一种能自动连续监测CH4、CO2、TOC日变化及垂直分布的系统,利用该系统监测了2002年冬季CH4、CO2、TOC垂直分布的日变化的变化趋势.结果发现,距地面高度增加,受湍流扩散的影响,CH4、CO2、TOC浓度降低.冬季CH4浓度的日变化呈现明显的单峰周期变化,CO2日变化呈双峰形分布,TOC日变化没有明显的特征,其日变化受机动车尾气排放的影响很大.根据2002年冬季CO2浓度与2000年以前的对比结果发现,北京市冬季燃煤排放的污染物已处于一个相对稳定期,而随着北京市机动车保有量迅速增加,尾气排放成为影响某些大气微量气体日变化的主要因素.     

华东森林及高山背景区域CO2和CH4浓度变化特征

对国家大气背景监测福建武夷山站2014—2018年的主要温室气体监测数据进行分析,探讨华东森林及高山背景区域大气中CO_2和CH_4浓度的变化特征。结果表明:华东森林及高山区域CO_2背景浓度为414.1×10~(-6)(摩尔分数,下同),5年间呈逐年上升趋势; CH_4背景浓度为1 977×10~(-9),2014—2016年呈逐年上升趋势,2016—2018年保持稳定;两者均具有较明显的季节和月变化特征,CO_2还具有较明显的日变化特征,但季节变化幅度、月平均浓度振幅和日变化幅度均较小,具有区域背景特征。     

1994—2010年东亚地区CO2浓度变化特征及成因分析

在东亚地区选取5个大气本底观测站1994年以来观测的 CO2监测资料，分析了各站大气 CO2的时空变化特征，以及 CO2主要人为源的变化及其影响。结果表明，5个本底站大气 CO2年均值均呈明显升高趋势，2010年较1994年增长幅度为8．4％～9．0％；在北半球国家，CO2月均值有明显的季节变化，高值多出现在冬春等寒冷季节，低值多出现在夏季。减少化石燃料消耗量、增加森林覆盖率及农业覆盖率将对大气中 CO2有削减作用。     

兰州市大气污染改善成效分析

为客观评价兰州市大气污染的状况,本文以兰州市2009—2013年空气污染检测相关数据为依据,研究了兰州市的大气污染现状和演变情况。研究结果表明:1兰州市大气污染为扬尘、煤烟和机动车尾气的混合型污染,主要污染物为可吸入颗粒物、SO2和NO2。2013年可吸入颗粒物、SO2和NO2的年平均浓度分别为0.153、0.033、0.035mg/m3,可吸入颗粒物是引起兰州空气污染的主要因素;2兰州市空气污染的易发季节为冬、春两季,空气污染的诱发因素为地理环境与大气条件;3近5年来,兰州市空气质量总体呈好转趋势,优良天数逐年增长,增幅达34%;大气中3项主要污染物浓度总体呈下降趋势,SO2累积降幅达到44%;NO2较最高值降幅为27%。     

焦作市大气污染物特征和相关性分析

为研究焦作市大气污染特征及其相关性,对2015—2017年焦作市4个国控空气监测点位的监测数据进行统计分析。结果表明:2015—2017年城区环境空气污染SO_2、NO_2、CO、PM_(10)、PM_(2.5)浓度均呈逐年下降趋势;大气污染浓度季节变化特征明显,PM_(10)、PM_(2.5)、SO_2、NO_2、CO的浓度均为冬季最高、夏季最低,空气质量指数也在冬季达到最高值; O_3浓度则为夏季最高、冬季最低。2017年焦作市沙尘天气共计36 d,严重影响了环境空气中颗粒物的浓度。由PM_(2.5)与PM_(10)的比值说明大气颗粒物污染以PM_(2.5)为主。通过SPSS软件分析,SO_2、NO_2、CO、PM_(10)、PM_(2.5)浓度间呈两两正相关,O_3浓度与NO_2、CO呈负相关。     

一种快速便捷的温室气体本底浓度采样方法初探

引入生态和气象研究领域的本底大气观测技术,提出一种便捷快速的温室气体本底浓度采样方法。该方法需要的设备简单,便于携带,能够快速完成采样。2011年5—7月,利用该方法,自西向东分别在处于我国三大阶梯的青藏高原东北缘、秦巴山区、长江中下游平原,选择不同类型的土地覆盖下垫面开展了地面采样实验,获得了33组以CO2和CH4为主的温室气体浓度数据。根据获得的采样结果,分别开展了人工采样数据分析及其与器测本底数据、卫星反演同期数据产品的对比分析,结果显示,几类数据趋势相符,数值相对偏差较低。总体认为,该方法获得的采样数据可靠、采样效率高,且成本低廉,这在我国温室气体自动监测站还比较少的现实情况下,不失为一种可选的快速便捷监测技术手段。     

乌鲁木齐市夏季O3及其前体物变化规律浅析

利用2009年夏季乌鲁木齐市近地面大气O3及其前体物的自动监测数据，分析了O3浓度的分布特征和时间变化规律。探讨O3与其主要前体物NO2和CO的相关关系。结果表明，乌鲁木齐市夏季的O3污染较轻；O3浓度呈单峰型分布，O3浓度昼间高，夜间低；昼间O3与其主要前体物都呈负相关关系。     

株洲夏季大气中气态总汞浓度特征

为研究株洲市夏季优良天气下大气中气态总汞(TGM)的浓度特征,于2013年8月利用大气汞分析仪(2537X,加拿大)进行了20 d的连续在线观测。结果显示,实验期间株洲市大气TGM的平均浓度为(4.20±3.37)ng/m3,中值浓度为3.40 ng/m3,高于背景地区和沿海城市,略低于国内其他重点城市。晴天、阴雨天TGM浓度分别为3.59、7.96 ng/m3。晴天TGM浓度具有一定日变化规律,最高值出现在早上7:00~9:00,之后逐渐降低,17:00出现最低值;TGM白天和夜间浓度分别为3.57、3.62 ng/m3,昼夜变化不大。晴天TGM与一次污染物SO2、CO、NO2具有显著的正相关性,与O3呈显著负相关性。株洲市夏季主导风向为东南风,该方向没有明显污染源,西北方向风向频率较低,但TGM浓度明显升高,其主要来源可能是位于西北方向的清水塘工业区。     

Global and Regional Distribution of Carbon Monoxide from MOPITT: Seasonal Distribution at 700 hPa

The Measurement of Pollution in the Troposphere (MOPITT) instrument is an eight-channel gas correlation radiometer, which was launched on the Earth Observing System (EOS) Terra satellite in 1999. Carbon monoxide (CO) is one of the important trace gases because its concentration in the troposphere directly influences the concentrations of tropospheric hydroxyl (OH), which controls the lifetimes of tropospheric trace gases. CO traces the transport of global and regional pollutants from industrial activities and large scale biomass burning. The global and regional distributions of CO were analyzed using the MOPITT data for East Asia, which were compared with the ozone distributions. In general, seasonal CO variations are characterized by a peak in the spring, which decrease in the summer. This work also revealed that the seasonal cycles for CO are at a maximum in the spring and a minimum in the summer, with average concentrations ranging from 118 to 170 ppbv. The monthly average for CO shows a similar profile to that for O3. This fact clearly indicates that the high concentration of CO in the spring is possibly due to one of two causes: the photochemical production of CO in the troposphere, or the transport of the CO into East Asia. The seasonal cycles for CO and O3 in East Asia are extensively influenced by the seasonal exchanges of different air mass types due to the Asian monsoon. The continental air masses contain high concentrations of O3 and CO, due to the higher continental background concentrations, and sometimes to the contribution from regional pollution. In summer this transport pattern is reversed, where the Pacific marine air masses that prevail over Korea bring low concentrations of CO and O3, which tend to give the apparent summer minimums.     

基于ＧＩＳ的乌鲁木齐市ＮＯ２ 时空分布特征

以乌鲁木齐市2008-2012年7个空气自动监测点位小时浓度数据为基础数据，利用ArcGIS 技术，分析了其NO2年变化、月变化、日变化、空间分布等污染特征。结果表明，NO2年均值为0．065～0．068 mg/m3，基本保持稳定；NO2呈明显的季节变化，冬季污染较重，春节、秋季次之，夏季空气质量相对较好；NO2呈现“单峰型”的日变化特征，夜间NO2明显高于白天；不同季节 NO2的空间分布特征不同，与交通、供暖、人口密度、地理位置密切相关；NO2分布与风速相关关系明显，而与气温、湿度的关系为非线性。     

2014年北京市CO浓度水平和时空分布

对北京市地面监测站点的CO浓度进行分析，探讨其浓度水平、变化趋势和时空分布特征。2014年春、夏、秋、冬四季北京市CO平均浓度分别为1.06、0.87、1.34、2.17 mg/m³。CO浓度均呈双峰型变化，第一个峰值出现在07：00-09：00，主要由交通早高峰的排放引起；第二个峰值出现在23：00左右，主要受交通晚高峰排放和夜间边界层高度降低的挤压效应的共同影响。从空间分布来看，全年整体呈现南高北低的分布特征，尤其是秋、冬季较为明显，体现了工业布局和区域传输对CO的影响。从全年来看，湿度对CO浓度的影响最大。对2014年冬季北京市的一次高CO浓度分析结果表明，此次过程是由本地排放和区域传输共同造成的，气象要素中地面气压对CO浓度影响最大。     

Determination of CH4, CO2 and N2O in air samples and soil atmosphere by gas chromatography mass spectrometry, GC-MS

A method for determination of the climate gases CH4, CO2 and N2O in air samples and soil atmosphere was developed using GC-MS. The method uses straightforward gas chromatography (separation of the gases) with a mass spectrometric detector in single ion mode (specific determination). The gases were determined with high sensitivity and high sample throughput (18 samples h(-1)). The LOD (3sigma) for the gases were 0.10 micro L L(-1) for CH4, 20 microL L(-1) for CO2 and 0.02 microL L(-1) for N2O. The linear range (R2 = 0.999) was up to 500 microL L(-1) for CH4, 4000 microL L(-1) for CO2 and 80 microL L(-1) for N2O. The samples were collected in 10 mL vials and a 5 microL aliquot was injected on column. The method was tested against certified gas references, the analytical data gave an accuracy within +/-5% and a precision of +/-3%. The presence of < or = 10% by volume of C2H2 (often used experimentally to prevent N2 formation from N2O) did not interfere with detection for the targeted trace gases.     

Transfer of CO2, N2O and CH4 to butyl rubber (polyisobutylene) septa during storage

Greenhouse gases are more sampled than ever because of environmental interests. Gas samples are often inserted into vials with gas tight butyl rubber septa before concentration analysis. Little is known on the global transfer property of butyl rubber septa for CO2, N2O and CH4. Sorption kinetics were measured by injecting CO2, N2O or CH4 into glass vials with either one of four butyl rubber septa types and stored during 90 days. CO2 and N2O concentrations decreased during storage depending upon septa type and initial concentration, with the highest linear rate being 0.023 for CO2 and 0.0015 mg L(-3) day(-1) for N2O. When a low concentration was injected, CH4 concentration changes over time were small and did not differ between septa types. Sorption isotherms were measured using nine concentrations and stored during 45 days. CO2 sorption isotherms ranged from 0 to 3.7 x 10(-3) m(3) m(-2) and N2O from 0.3 to 1.4 x 10(-3) m(3) m(-2). Examples of errors associated with the use of these butyl rubber septa are given.     

于桥水库浮游植物群落特征

于桥水库是天津市惟一饮用水水源地,为了研究该水库浮游植物群落特征,于2012年春、夏、秋对于桥水库浮游植物进行了监测分析。结果表明:该水库共鉴定出绿藻(Chlorophyta)、蓝藻(Cyanophyta)、硅藻(Diatoms)、裸藻(Euglenophyta)、甲藻(Pyrrophyta)、隐藻(Cryptophyta)和黄藻(Xanthophyta)7门114种,群落组成以绿藻-硅藻门为主;浮游植物细胞密度具有明显的季节变化规律,表现为春季较低,夏季急剧增长,到了秋季又有所回落。优势种对于桥水库水质的评价结果表明,春季为中营养水体,夏季为富营养化水体,秋季为中富营养水体。春、夏、秋季于桥水库香农-韦弗多样性指数平均值分别为3.22、2.51和3.17,说明2012年于桥水库春季、秋季为贫营养水体,夏季为中营养水体,且有暴发水华的危险。     

温室效应气体及其监测方法

本文就CO_2、N_2O、CH_4及氟里昂等几种主要温室效应气体之最新监测动向进行综述,引述文献28篇.     

Inter-seasonal and spatial distribution of ground-level greenhouse gases (CO<Subscript>2</Subscript>, CH<Subscript>4</Subscript>, N<Subscript>2</Subscript>O) over Nagpur in India and their management roadmap

Ground-level concentrations of carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O) were monitored over three seasons, i.e., post-monsoon (September–October), winter (January–February), and summer (May–June) for 1 year during 2013–2014 in Nagpur City in India. The selected gases had moderate to high variation both spatially (residential, commercial, traffic intersections, residential cum commercial sites) and temporally (at 7:00, 13:00, 18:00, and 23:00 hours in all three seasons). Concentrations of gases were randomly distributed diurnally over city in all seasons, and there was no specific increasing or decreasing trend with time in a day. Average CO₂ and N₂O concentrations in winter were higher over post-monsoon and summer while CH₄ had highest average concentration in summer. Observed concentrations of CO₂ were predominantly above global average of 400 ppmv while N₂O and CH₄ concentrations frequently dropped down below global average of 327 ppbv and 1.8 ppmv, respectively. Two-tailed Student’s t test indicated that post-monsoon CO₂ concentrations were statistically different from summer but not so from winter, while difference between summer and winter concentrations was statistically significant (P < 0.05). CH₄ concentrations in all seasons were statistically at par to each other. In case of N₂O, concentrations in post-monsoon were statistically different from summer but not so from winter, while difference between summer and winter concentrations was statistically significant (P < 0.05). Average ground-level concentrations of the gases calculated for three seasons together were higher in commercial areas. Environmental management priorities vis a vis greenhouse gas emissions in the city are also discussed.     

湛江市空气NO_2浓度变化特征及时频分析

为了探究湛江市空气NO2浓度的变化特征及时频特性,以达到有效防治空气污染,利用数理统计方法和时频分析技术的短时傅立叶变换、小波分解分析、平滑伪Wigner-Ville分布分析、重排谱图及Hough变换等方法进行了分析和研究。结果表明,湛江市空气NO2浓度较全国大多数城市偏低,逐日差异明显,变化辐度波动大,资料离散度高。分布形态属正偏(右偏)分布,偏斜程度较大,分布陡峭,为尖峰分布。湛江市空气NO2浓度的变化逐年呈明显减少趋势,年内跨度也明显减少,波动变小,同时NO2逐日资料的年分布形态偏斜程度明显减少,尖峰分布逐年变得更为平缓。NO2季节变化比较明显,年周期性清楚。NO2年内变化具有冬春季节值大,夏秋季节值小,变化相对平缓的年趋势变化特性;冬春季节振辐大,夏秋季节振辐小,小波分解变化信号的频率从低层至高层细节系数逐层降低的年振荡波动特性。湛江市空气NO2浓度的重排谱图与平滑伪Wigner-Ville分布趋势相近,但没有交叉项,时频聚集性好,可解释性强。平滑伪Wigner-Ville分布的Hough变换可发现湛江市空气NO2浓度年内的辐值变化峰值。