关于实施新修订《环境空气质量标准》的建议

针对新修订的《环境空气质量标准》,阐述了修订和实施《环境空气质量标准》的重要意义,并指出了新修订的《环境空气质量标准》与现行《环境空气质量标准》的主要区别,提出地级城市在实施新修订的《环境空气质量标准》过程中需做的准备工作和努力方向。     

生物质发电项目碳排放计算方法应用研究

生物质发电是将废弃生物质变成可再生能源得以充分利用,这些工程将减少来自于生物质自然腐烂和无控燃烧产生的温室效应,这不仅节约了煤炭的同时也减少了二氧化碳的排放。本文中以某生物质项目发电为例,根据CDM方法学ACM0006计算了该项目的减排量。结果表明,该项目10年间共减少了二氧化碳排放量2,075,140 t,给我国带来了可观的经济效益和环境效益。     

我国温室气体排放审计工作的程序和内容及其存在的问题

全球气候变化问题日益严重,走绿色、低碳、环保和可持续发展道路已经成为必然选择。温室气体(GHG)排放审计因其具有帮助企业摸清自身碳资产家底、提供准确的GHG排放数据、为GHG排放设定合理的减排目标等作用越来越受到各方面的重视。本文通过总结参与GHG排放审计工作的实践,详细介绍了GHG排放审计工作的程序和主要内容,并探讨了我国GHG排放审计工作存在的主要问题及解决对策。该研究对抑制全球气候变化具有重要的意义。     

建筑陶瓷碳计量与优化模型研究

采用投入产出分析方法和目标规划方法,以某建陶企业为代表,建立了建筑陶瓷产业投入产出模型及低碳优化模型,利用投入产出模型计量和预估了建筑陶瓷产业关键环节碳排放和产品碳足迹;应用低碳优化模型对建筑陶瓷企业的产品计划进行了低碳优化.结果表明,建筑陶瓷企业年二氧化碳排放量达182 543.9 t,单位产品碳排放量多于国外先进水平10%以上;影响建筑陶瓷产业二氧化碳排放的关键环节为烧成和喷雾干燥过程,烧成和喷雾干燥过程排放的二氧化碳占总排放的80%以上;3种建筑陶瓷产品中,坯砖、抛光砖、釉面砖的万平米产量碳足迹依次为150.2、168.0、159.6 t.建筑陶瓷企业经低碳模型优化后可以在保证同样利润的同时降低5.4%的碳排放,也可以在保证碳排放相同的条件下使利润提高5.6%.     

地表UV-B辐射增强对土壤-冬小麦系统呼吸速率和N2O排放的影响

通过室外盆栽实验,用静态箱-气相色谱法测定土壤-冬小麦系统的呼吸速率和N₂O排放通量,研究了UV-B辐射增强20%对土壤-冬小麦系统的呼吸速率和N₂O排放的影响.结果表明,相同的气象条件和田间管理下,UV-B辐射增强处理对呼吸速率和N₂O排放的季节变化模式无明显影响.在返青期,UV-B辐射增强显著降低了土壤-冬小麦系统的呼吸速率,但对N₂O的排放通量没有产生显著影响;在拔节孕穗期,UV-B辐射增强处理显著降低了土壤-冬小麦系统的呼吸速率和N₂O的排放通量;在抽穗-成熟期,UV-B辐射增强处理对土壤-冬小麦系统的呼吸速率和N₂O的排放没有显著影响.返青-齐穗期,UV-B增强处理显著降低土壤-冬小麦系统的N₂O累积排放量;但从齐穗开始至小麦成熟,UV-B增强处理对土壤-冬小麦系统的N₂O累积排放量没有显著影响.     

Effects of long-term amendment of organic manure and nitrogen fertilizer on nitrous oxide emission in a sandy loam soil

To understand the effects of long-term amendment of organic manure and N fertilizer on N2O emission in the North China Plain, a laboratory incubation at different temperatures and soil moistures were carried out using soils treated with organic manure （OM）, half organic manure plus half fertilizer N （HOM）, fertilizer NPK （NPK）, fertilizer NP （NP）, fertilizer NK （NK）, fertilizer PK （NK） and control （CK） since 1989. Cumulative N2O emission in OM soil during the 17 d incubation period was slightly higher than in NPK soil under optimum nitrification conditions （25℃ and 60% water-filled pore space, WFPS）, but more than twice under the optimum denitrification conditions （35℃ and 90% WFPS）. N2O produced by denitrification was 2.1-2.3 times greater than that by nitrification in OM and HOM soils, but only 1.5 times greater in NPK and NP soils. These results implied that the long-term amendment of organic manure could significantly increase the N2O emission via denitrification in OM soil as compared to NPK soil. This is quite different from field measurement between OM soil and NPK soil. Substantial inhibition of the formation of anaerobic environment for denitrification in field might result in no marked difference in N2O emission between OM and NPK soils. This is due in part to more rapid oxygen diffusion in coarse textured soils than consumption by aerobic microbes until WFPS was 75% and to low easily decomposed organic C of organic manure. This finding suggested that addition of organic manure in the tested sandy loam might be a good management option since it seldom caused a burst of N2O emission but sequestered atmospheric C and maintained efficiently applied N in soil.     

北京餐饮源排放细粒子理化特征及其对有机颗粒物的贡献

调研了北京餐饮业发展现状,通过在线监测、采样分析等手段研究北京4家不同烹调方式的餐馆所排放颗粒物的质量浓度、粒径分布、形貌特征、化学组分,并初步估算餐饮源排放细粒子对北京细粒子中颗粒有机物的贡献.结果表明,餐馆的原料、烹饪过程、油烟去除装置以及客流量都会影响餐馆所排放颗粒物的物理、化学性质.样本餐馆营业期间排放颗粒物PM_{2 .5}质量浓度是当日环境大气PM_{2 .5}质量浓度的8～35倍,PM_{1 .0}在PM_{2 .5}的质量浓度中约占50%～85%.餐饮源排放颗粒物多以固态和液态颗粒物形貌存在,化学组分质量百分数由多到少依次是有机物、无机离子和元素碳,分别占到PM_{2 .5}质量浓度的70%左右、5%～11%和小于2%.初步估计结果表明,北京餐饮源排放细粒子对有机颗粒物的贡献和交通源的排放相当,成为北京细粒子有机颗粒物的主要来源之一.认识餐饮源排放颗粒物的理化性质,可以为改善北京空气质量和保证居民身体健康提供数据支持.     

Characterizing ionic species in PM2:5 and PM10 in four Pearl River Delta cities, South China

PM_(2.5)and PM_(10)samples were collected at four major cities in the Pearl River Delta(PRD),South China,during winter and summer in 2002.Six water-soluble ions,Na~ ,NH_4~ ,K~ ,Cl~-,NO_3~- and SO_4~(2-)were measured using ion chromatography.On average,ionic species accounted for 53.3% and 40.5% for PM_(2.5)and PM_(10),respectively in winter and 39.4% and 35.2%,respectively in summer. Secondary ions such as sulfate,nitrate and ammonium accounted for the major part of the total ionic species.Sulfate was the most abundant species followed by nitrate.Overall,a regional pollution tendency was shown that there were higher concentrations of sulfate, nitrate and ammonium in Guangzhou City than those in the other PRD cities.Significant seasonal variations were also observed with higher levels of species in winter but lower in summer.The Asian monsoon system was favorable for removal and diffusion of air pollutants in PRD in summer while highly loading of local industrial emissions tended to deteriorate the air quality as well.NO_3~-/SO_4~(2-) ratio indicated that mobile sources have considerably contribution to the urban aerosol,and stationary sources should not be neglected. Besides the primary emissions,complex atmospheric reactions under favorable weather conditions should be paid more attention for the control of primary emission in the PRD region.     

Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Vehicle emission has been the major source of air pollution in urban areas in the past two decades. This article proposes an artificial neural network model for identifying the taxi gross emitters based on the remote sensing data. After carrying out the field test in Guangzhou and analyzing various factors from the emission data, the artificial neural network modeling was proved to be an advisable method of identifying the gross emitters. On the basis of the principal component analysis and the selection of algorithm and architecture, the Back-Propagation neural network model with 8-17-1 architecture was established as the optimal approach for this purpose. It gave a percentage of hits of 93%. Our previous research result and the result from aggression analysis were compared, and they provided respectively the percentage of hits of 81.63% and 75%. This comparison demonstrates the potentiality and validity of the proposed method in the identification of taxi gross emitters.     

珠江三角洲人为氨源排放清单及特征

根据收集的珠江三角洲(珠三角)人为氨源的活动水平数据,采用合理的估算方法和排放因子,建立了该地区2006年人为氨源分类别和分城市的排放清单.结果表明:①2006年珠三角地区人为氨源NH3排放总量约为194.8kt;②农业源是珠江三角洲地区人为氨源的主要排放贡献源,其中畜禽源排放的NH3占总排放量的62.1%,其次是氮肥施用源,其贡献率为21.7%;③畜禽源中肉鸡是NH3排放最大贡献源,占畜禽源NH3排放总量的43.4%,其次是肉猪,其贡献率为32.1%;④广州是珠三角地区2006年人为氨源排放量最大的城市,其次是江门,分别占NH3总排放量的23.4%和19.1%,主要的排放源均为畜禽和氮肥施用源.