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...     

乌鲁木齐市大气环境微生物污染水平对策思路研究通过鉴定

乌鲁木齐市大气环境微生物污染水平对策思路研究通过鉴定由乌鲁木齐市环境科研监测中心站承担的“乌鲁木齐市大气环境微生物污染水平对策思路研究”课题１１月２７日通过市科委组织的专家鉴定。多年来，反映城市大气环境质量状况指标主要以物理的、化学的因子为评价内容，...     

新疆绿洲城市夏季农田区对流层NO_2垂直柱浓度特征分析

2014年夏季6~8月利用地基多轴差分吸收光谱仪(MAX DOAS)在新疆绿洲城市乌鲁木齐市三道坝镇、库尔勒市西尼尔镇及博乐市84团农田区观测的NO_2垂直柱浓度(VCD)数据,结合同期的气象数据分析了NO_2VCD的变化特征。研究表明:1NO_2气体的日变化规律在乌鲁木齐市和库尔勒市农田区呈波浪式多峰特征,博乐市农田区呈明显的双峰形式,且峰值除了库尔勒市在午后外,乌鲁木齐市和博乐市均出现在早晚时段;2新疆绿洲城市农田区在夏季6月(3.327×1015molec/cm~2)的NO_2VCD最高,其次是7月(2.002×1015molec/cm~2),最低是8月(1.656×1015molec/cm2);3NO_2VCD与气温、水汽压气象要素密切相关;由于城市间地势、格局的差异,库尔勒市的NO_2浓度与风速呈显著正相关,乌鲁木齐市、博乐市的NO_2浓度与风速相关性不显著。     

乌鲁木齐市大气污染时空分布规律研究

为掌握乌鲁木齐市大气污染时空分布规律,利用近年乌鲁木齐市大气污染物的浓度最新资料,详尽分析了其空气质量的年际变化和空间分布特征。统计了2008年各污染物日、月变化规律。结果表明,近年乌鲁木齐市城区大气污染物质量浓度具有明显时空分布规律,即大气污染物质量浓度冬春季大于夏秋季,PM10和SO2浓度夜间大于白天。在空间分布上,PM10和SO2南部区域最高,中部次之,市区北部最轻,NO2则呈现出由北向南逐渐升高的分布特征。     

乌鲁木齐市可吸入颗粒物中多环芳烃的源解析

通过对乌鲁木齐市可吸入颗粒物和多环芳烃主要污染源煤烟尘和机动车尾气尘进行采样和分析,得到可吸入颗粒物中多环芳烃的浓度和污染源中多环芳烃的含量,利用化学质量平衡受体模型对其来源进行分析。     

乌鲁木齐市采暖季空气质量变化趋势分析

为了定量评价乌鲁木齐市采暖季空气污染近五年的治理成效,给环境治理决策提供科学依据,运用回归分析方法,对乌鲁木齐市采暖季空气质量的浓度、级别和变化规律进行回归分析。分析结果表明,PM10、SO2、NO2三项污染物的浓度都有所下降,空气质量级别的污染天数呈现明显的月变化规律。乌鲁木齐市采暖季空气的重污染状况有所遏制,但SO2污染凸现,在下一步的治理工作中,加强尘污染治理的同时要加大对SO2的治理力度。     

碘量法测定高温、高浓度SO_2气体试验探讨

由于沸腾燃烧烟气中SO_2浓度较高,并且有一测孔设在锅炉燃烬室处,烟气温度及周围环境温度也都较高,为防止碘量法测定高温高浓度SO_2气体产生较大误差,碘量法规定的取样系统和测定范围已不能直接套用。为此,我们重新设计了适合高温高浓度SO_2气体取样系统、保证了测定结果的准确度。 对测定范围的探讨 碘量法对SO_2的测定范围140～5700Mg/NM~3,而沸腾燃烧3—5％的中硫煤烟气中的SO_2预计达到4000～8000mg/NM~3,超过了规定的测定范围。为此,我们取了符合和超过测定范围的两种浓度SO_2标气进行吸收率试验,     

乌鲁木齐近十二年(1997~2009)降水中化学组分变化趋势分析

通过对乌鲁木齐市近12年(1997~2009)降水的化学组分分析,表明大气环境中的年际pH值在6.04~7.42间波动。∑阴离子所占百分比约为∑阳离子2倍。SO^2-₄和Ca²⁺分别是阴离子和阳离子中占比重最大的离子,直接影响降水的化学性质。近年来,SO^2-₄在阴离子中所占比重呈下降趋势,而NO^-₃则逐年增加,说明乌鲁木齐市在控制燃煤型污染方面采取的措施取得了一定效果,而机动车尾气污染日益加重,大气环境中各阴离子的组分比例在不断变化。     

试谈乌鲁木齐市城市环境保护对策

针对乌鲁木齐市目前的城市环境质量状况和环境保护中存在的问题，分别从大气环境、水环境、生态环境及城市综合整治方面分析了成因，从可持续发展的角度提出了城市环境保护的针对性措施。     

乌鲁木齐市降水酸度及化学特征的初步研究

降水酸度和离子平衡研究结果表明,乌鲁木齐市降水为非酸性雨,但其PH值有较明显的季节变化,降水中的SO_4~(2-)、Ca~(2+)、和NH_4~+是影响酸度的关键离子,与其他地区相比,乌鲁木齐市降水中的Ca~(2+)浓度是酸雨区(贵阳、重庆)平均值的3.50倍,是非酸雨区(北京、天津)平均值的1.86倍。可见,乌鲁木齐市降水酸度的高低,不仅取决于酸性离子浓度,而且更重要的是取决于碱性离子浓度。     

典型燃煤电厂机组二氧化碳排放测试及核算研究

为验证二氧化碳排放量的测试技术适用性及可行性,获取燃煤电厂机组碳排放特征,系统比较不同测试方法之间碳排放量的差异,对某典型火电机组二氧化碳排放开展测试,结果表明,不同测试原理及设备二氧化碳排放实测体积分数均较为接近。测试机组CO₂实测体积分数为11.28%～14.21%,与负荷变化呈一定的正相关关系,不同负荷下基准氧含量(体积分数6%)基本无变化。测试机组排放量与负荷正相关,使用了缺省值的指南排放量最高,与其他方法排放量相对偏差均值为31.6%;使用入炉煤实测数据的指南排放量差异不大,相对偏差为0.1%;使用入炉煤实测数据的2版指南排放量高于直接测量法,相对偏差均值为4.9%;直接测量各类方法间相对偏差均值为1.0%,其中在线法与手工法间相对偏差均值为1.2%。CO₂排放强度与负荷负相关,实验条件下,机组负荷越高,碳排放强度越低。     

南京燃煤电厂烟气中汞的排放调查

对南京市8家国控污染源13台（套）燃煤锅炉进行监测,结果表明,燃煤电厂烟气中汞主要以气相部分汞形态存在,其排放值均达标,为0．16～15．9μg／m3,均远低于标准限值;煤质中汞含量与电厂烟气中汞浓度变化曲线的趋势是大致相似,相关系数为0．91;燃煤电厂机组容量、发电负荷越大,汞平均排放因子呈变小趋势;静电除尘器、湿法脱硫和选择性催化还原法的净化配置对汞的脱除效率最高,达到95．4％。     

燃煤电厂在线监测系统颗粒物浓度排放系数影响因素的探讨

选取上海市7家未安装气-气换热器的国控燃煤电厂作为研究对象,从煤质、除尘器、脱硫协同脱除作用以及锅炉工况负荷等方面探讨对颗粒物浓度排放系数 K值产生的影响,得出上述因素通过改变脱硫进口颗粒物浓度值影响 K值,当脱硫进口颗粒物浓度较低、波动范围较小时,其 K值也维持相对稳定的状态;当脱硫进口颗粒物浓度较高、波动范围较大时,其 K值也会发生较大的变化等结论。     

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。     

Ground level volume mixing ratio of methane in a tropical coastal city

Urban regions are hotspots of greenhouse gas emissions which include CO₂, CH₄, N₂O, etc. Methane is a strong greenhouse gas which is produced from a number of sources including fossil fuel combustion, municipal waste, and sewage processing, etc. Ground level mixing ratio of methane in the tropical coastal city of Thiruvananthapuram in South India, during calm early morning period was measured. Measurements were done during both winter and summer seasons. Concentrations were significantly higher than global average value. Intra-city variation in ground level mixing ratio was also significant. Ground level methane concentration at Thiruvananthapuram urban area showed maximum value of 3.16 ppmV. Under stable atmospheric conditions in early morning, ground level mixing ratio of methane was 2.79 ppmV in winter and 2.54 ppmV during summer. The spatial distribution of methane concentration shows correlation with urban heat island.     

CO2 Capture and Storage with Leakage in an Energy-Climate Model

Geological CO₂ capture and storage (CCS) is among the main near-term contenders for addressing the problem of global climate change. Even in a baseline scenario, with no comprehensive international climate policy, a moderate level of CCS technology is expected to be deployed, given the economic benefits associated with enhanced oil and gas recovery. With stringent climate change control, CCS technologies will probably be installed on an industrial scale. Geologically stored CO₂, however, may leak back to the atmosphere, which could render CCS ineffective as climate change reduction option. This article presents a long-term energy scenario study for Europe, in which we assess the significance for climate policy making of leakage of CO₂ artificially stored in underground geological formations. A detailed sensitivity analysis is performed for the CO₂ leakage rate with the bottom-up energy systems model MARKAL, enriched for this purpose with a large set of CO₂ capture technologies (in the power sector, industry, and for the production of hydrogen) and storage options (among which enhanced oil and gas recovery, enhanced coal bed methane recovery, depleted fossil fuel fields, and aquifers). Through a series of model runs, we confirm that a leakage rate of 0.1%/year seems acceptable for CCS to constitute a meaningful climate change mitigation option, whereas one of 1%/year is not. CCS is essentially no option to achieve CO₂ emission reductions when the leakage rate is as high as 1%/year, so more reductions need to be achieved through the use of renewables or nuclear power, or in sectors like industry and transport. We calculate that under strict climate control policy, the cumulative captured and geologically stored CO₂ by 2100 in the electricity sector, when the leakage rate is 0.1%/year, amounts to about 45,000 MtCO₂. Only a little over 10,000 MtCO₂ cumulative power-generation-related emissions are captured and stored underground by the end of the century when the leakage rate is 1%/year. Overall marginal CO₂ abatement costs increase from a few €/tCO₂ today to well over 150 €/tCO₂ in 2100, under an atmospheric CO₂ concentration constraint of 550 ppmv. Carbon costs in 2100 turn out to be about 40 €/tCO₂ higher when the annual leakage rate is 1%/year in comparison to when there is no CO₂ leakage. Irrespective of whether CCS deployment is affected by gradual CO₂ seepage, the annual welfare loss in Europe induced by the implementation of policies preventing “dangerous anthropogenic interference with the climate system” (under our assumption, implying a climate stabilisation target of 550 ppmv CO₂ concentration) remains below 0.5% of GDP during the entire century.

燃煤电厂煤中汞含量对烟气中汞排放水平的影响

对江苏省9家燃煤电厂入炉煤中ω（汞）及烟气中ρ（汞）进行了测试,结果表明,9家燃煤电厂入炉煤中ω（汞）为54．5～297 ng／g,平均值为139 ng／g,低于我国煤中ω（汞）的平均值（220 ng／g）。燃煤电厂排放烟气中ρ（汞）为0．08～16．97μg／m^3,远低于《火电厂大气污染物排放标准》（GB 13223－2011）汞及其化合物标准限值（30μg／m^3）。通过对燃煤电厂入炉煤中ω（汞）与最终排放的烟气中ρ（汞）进行分析,两者之间有一定的相关性。     

郑州市对流层NO2柱浓度时空变化及其影响因素

基于郑州市2005—2015年的OMI遥感反演资料以及地面相关监测数据,研究了郑州市对流层NO_2的时空分布特征,并利用灰色关联法对郑州市NO_2柱浓度变化的主要影响因素进行分析。与地面观测数据对比检验显示,对流层NO_2柱浓度年均值数据与近地面监测站NO_2浓度的实测年均值数据呈显著的正相关,相关系数分别为0.884 6和0.940 2,表明OMI数据资料可以较好地反映地面NO_2浓度的变化。郑州市的对流层NO_2柱浓度在2005—2013年间呈现波动变化且2013—2015年NO_2柱浓度显著减小的特征。季节变化上NO_2柱浓度主要表现为冬季秋季春季夏季的特点。郑州市对流层NO_2柱浓度的空间变化分布主要表现为由北部向南部逐渐递减的趋势,年际变化上高值区与低值区变化不够显著,中值区近年来不断扩大。灰色关联度分析结果显示,汽车保有量与对流层NO_2柱浓度的灰色关联度最低为0.571,而标准煤消耗量、工业用电量以及采暖供热量与对流层NO_2柱浓度的灰色关联度比较高,分别为0.956、0.828、0.862,即大气中工业过程及采暖期煤炭燃烧排放的NO_2占较大比例,汽车尾气排放所占的比例相对较小。     

Investigation into the relationship between major and minor element contents and particle size and leachability of boron in fly ash from coal fuel thermal power plants

A basic investigation of boron in discharged fly ash by coal fuel thermal power plants in several worldwide locations was carried out. Eight kinds of fly ash sample were prepared from eight coal fuel thermal power plants. Two of the fly ash samples were used to examine the relationship between the concentration of boron in fly ash and the particle size. When the particle size of fly ash is smaller, there is a possibility that it will be released into the air and spread over a wide area in the environment. However, it has become apparent that fly ash of smaller particle size has a higher concentration of boron and a higher enrichment factor. In other fly ash samples, the boron contents were examined and leaching tests were carried out. There is acidic fly ash as well as alkaline fly ash that contains larger amounts of acidic or basic salts. On alkaline fly ash, when the concentration of boron bound to Fe-Mn oxide is low; it has become apparent that leaching boron is increased in a solution with lower pH of approximately 4 which is nearly the pH of acid rain.