中国高精度温室气体排放清单编制研究进展

高精度温室气体排放清单是摸清区域碳排放来源、识别时空演变特征的数据基础,也是政府部门科学制定“减污降碳”策略、实现“双碳”目标的科技支撑。通过调研国内外组织机构、科研团队在高精度排放清单方面的成果,从核算范围、核算方法、时空化方法、评估与校验4个方面介绍了我国温室气体排放清单编制方法的研究进展。针对我国高精度温室气体排放清单研究区域分散、方法与格式不统一的问题,提出我国清单编制要逐步统筹本地化、精细化和动态化的发展建议。     

环黄渤海地区土壤介质中PFOS网格排放清单估算及不确定性分析

全氟辛烷磺酸(PFOS)是一种《斯德哥尔摩公约》所列的持久性有机污染物.加强对土壤中PFOS排放的合理认识,并追踪其污染源,对减少和控制土壤中污染物具有重要意义.然而,很少有研究涉及土壤介质中PFOS生命周期排放清单.基于PFOS生命周期评价法构建了 2018年环黄渤海地区各污染源排放到土壤介质中的PFOS排放因子,估...     

Hexabromocyclododecane and tetrabromobisphenol A in sediments and paddy soils from Liaohe River Basin, China: Levels, distribution and mass inventory

Hexabromocyclododecane(HBCD) and tetrabromobisphenol A(TBBPA) are two kinds of brominated flame retardants and widely present in the environment and biota. The levels,spatial distributions and mass inventories of HBCD and TBBPA were investigated in sediments and paddy soils from the Liaohe River Basin in northeast China. The concentrations of ΣHBCD and TBBPA were in the range of not detected(nd) to 4.02 ng/g dry weight(dw) and 0.03 to 4.06 ng/g dw, respectively. γ-HBCD was dominated in sediments,while the abundance of α-HBCD was relatively high in paddy soils. The spatial distributions of HBCD and TBBPA in surface sediments and paddy soils indicated that the local point-input was their major source. The significant correlation between total organic carbon(TOC) contents and the HBCD levels suggested that TOC content also exerted an influence on the distribution of HBCD in sediments. Meanwhile, it was found that the irrigation with river water was not the major transportation pathway of HBCD and TBBPA in paddy soils. Based on the study, it was estimated that there were about 1.67 tons HBCD and 2.20 tons TBBPA deposited into sediments of the Liaohe River system every year. The total mass inventories of HBCD and TBBPA in sediments were far higher than that in paddy soils.     

Numerical model to quantify biogenic volatile organic compound emissions: The Pearl River Delta region as a case study

This article compiles the actual knowledge of the biogenic volatile organic compound (BVOC) emissions estimated using model methods in the Pearl River Delta (PRD) region, one of the most developed regions in China. The developed history of BVOC emission models is presented briefly and three typical emission models are introduced and compared. The results from local studies related to BVOC emissions have been summarized. Based on this analysis, it is recommended that local researchers conduct BVOC emission studies systematically, from the assessment of model inputs, to compiling regional emission inventories to quantifying the uncertainties and evaluating the model results. Beyond that, more basic researches should be conducted in the future to close the gaps in knowledge on BVOC emission mechanisms, to develop the emission models and to refine the inventory results. This paper can provide a perspective on these aspects in the broad field of research associated with BVOC emissions in the PRD region.     

Estimating emissions from crop residue open burning in China based on statistics and MODIS fire products

With the objective of reducing the large uncertainties in the estimations of emissions from crop residue open burning, an improved method for establishing emission inventories of crop residue open burning at a high spatial resolution of 0.25°× 0.25° and a temporal resolution of1 month was established based on the moderate resolution imaging spectroradiometer(MODIS) Thermal Anomalies/Fire Daily Level3 Global Product(MOD/MYD14A1). Agriculture mechanization ratios and regional crop-specific grain-to-straw ratios were introduced to improve the accuracy of related activity data. Locally observed emission factors were used to calculate the primary pollutant emissions. MODIS satellite data were modified by combining them with county-level agricultural statistical data, which reduced the influence of missing fire counts caused by their small size and cloud cover. The annual emissions of CO_2, CO, CH_4,nonmethane volatile organic compounds(NMVOCs), N_2O, NO_x, NH_3, SO_2, fine particles(PM2.5),organic carbon(OC), and black carbon(BC) were 150.40, 6.70, 0.51, 0.88, 0.01, 0.13, 0.07, 0.43,1.09, 0.34, and 0.06 Tg, respectively, in 2012. Crop residue open burning emissions displayed typical seasonal and spatial variation. The highest emission regions were the Yellow-Huai River and Yangtse-Huai River areas, and the monthly emissions were highest in June(37%).Uncertainties in the emission estimates, measured as 95% confidence intervals, range from a low of within ±126% for N_2O to a high of within ± 169% for NH_3.     

基于LCA的钢铁联合企业CO_2排放影响因素分析

钢铁企业是CO2排放大户,减少吨钢CO2排放是钢铁企业节约能源、保护环境、走可持续发展道路的必然要求.本研究旨在对钢铁企业产品生命周期清单研究的基础上,识别钢铁企业CO2排放的主要影响因素,提出针对性的减排建议.以某钢铁联合企业的产品生命周期清单模型为平台,同时利用TornadoChart工具,计算得到对企业CO2排放影响较大的因素,然后提出了相应的减排措施.结果表明,转炉流程对于钢铁企业的影响要大于电炉流程;对该企业CO2排放有重大影响和相关影响的因素有:高炉煤气(BFG)的CO2排放系数、连铸坯的钢水单耗、热轧的板坯单耗、转炉的铁水比.减少钢铁联合企业CO2排放的有效措施是采取捕集BFG中的CO2、降低转炉的铁水比、加强副产煤气的回收以及优化企业的产品生产结构.     

利用IVE模型建立成都市轻型汽油客车排放清单

城市机动车污染物排放清单的建立是控制机动车污染的关键.本研究以2012年为基准年,通过对成都市轻型汽油客车技术水平分布、活动水平和保有量等数据的调查,将IVE模型本地化,计算了成都市2012年轻型汽油客车VOCs、PM、NOx、CO的排放清单,并分析了清单的不确定性.结果表明:成都市2012年轻型汽油客车排放的VOCs、PM、NOx和CO分别为2.23×104t、1.6×102t、1.26×104t和2.03×105t;轻型汽油客车中黄标车VOCs、PM、NOx、CO的排放量分别占排放总量的27.5%、18.1%、37.2%和42.5%,表明黄标车是轻型汽油客车污染物排放的主要来源;排放清单的不确定性主要来自于排放因子,VOCs、PM、NOx和CO清单的不确定性分别为-31.67%~32.35%、-54.75%~55.09%、-6.56%~6.76%和-12.22%~12.51%.     

2006—2012年广东省机动车尾气排放特征及变化规律

利用广东省年鉴及实地调查资料,基于COPERT Ⅳ模型计算并分析了2006─2012年广东省珠三角和非珠三角地区的机动车尾气排放清单. 结果表明:研究地区2006─2012年机动车保有量上升,国Ⅲ、国Ⅳ车辆所占比例提高,其中珠三角地区优化程度大于非珠三角地区;2006─2012年2个地区污染物(CO、VOC、NO_x、PM_2.5)排放因子均有降低,降幅在24.54%~57.89%之间. 机动车污染物排放量上升趋势及贡献特征地区性差异明显,2006─2012年非珠三角地区CO、VOC排放量分别上升了37.20%、26.93%,增幅高于珠三角地区,而珠三角地区2012年的NO_x、PM_2.5排放量增幅(分别为21.65%、14.60%)高于非珠三角地区. 轻型客车是2个地区CO和VOC的主要贡献车型,贡献率均达46.96%以上,并且处于上升状态,但珠三角地区增幅小于非珠三角地区;重型客车和重型货车是2个地区NO_x、PM_2.5的主要来源,贡献率均在40.78%以上.      

A highly resolved temporal and spatial air pollutant emission inventory for the Pearl River Delta region, China and its uncertainty assessment

A highly resolved temporal and spatial Pearl River Delta (PRD) regional emission inventory for the year 2006 was developed with the use of best available domestic emission factors and activity data. The inventory covers major emission sources in the region and a bottom–up approach was adopted to compile the inventory for those sources where possible. The results show that the estimates for SO₂, NO_x, CO, PM₁₀, PM_2.5 and VOC emissions in the PRD region for the year 2006 are 711.4 kt, 891.9 kt, 3840.6 kt, 418.4 kt, 204.6 kt, and 1180.1 kt, respectively. About 91.4% of SO₂ emissions were from power plant and industrial sources, and 87.2% of NO_x emissions were from power plant and mobile sources. The industrial, mobile and power plant sources are major contributors to PM₁₀ and PM_2.5 emissions, accounting for 97.7% of the total PM₁₀ and 97.2% of PM_2.5 emissions, respectively. Mobile, biogenic and VOC product-related sources are responsible for 90.5% of the total VOC emissions. The emissions are spatially allocated onto grid cells with a resolution of 3 km × 3 km, showing that anthropogenic air pollutant emissions are mainly distributed over PRD central-southern city cluster areas. The preliminary temporal profiles were established for the power plant, industrial and on-road mobile sources. There is relatively low uncertainty in SO₂ emission estimates with a range of −16% to +21% from power plant sources, medium to high uncertainty for the NO_x emissions, and high uncertainties in the VOC, PM_2.5, PM₁₀ and CO emissions.     

区域层面温室气体清单不确定性量化研究

基于《IPCC国家温室气体清单优良做法指南和不确定性管理》中不确定性分析的理论和方法,以编制包括省级、地市级在内的区域层面温室气体清单为背景,就不确定性分析的难点、来源和组成进行分析,并通过实例研究对适用于区域层面温室气体清单的不确定性量化方法进行说明,进而提升不确定性分析的可操作性和透明性,为完善温室气体清单提供有价值的参考。