Forgotten carbon: indirect CO2 in greenhouse gas emission inventories

National governments that are Parties to the United Nations Framework Convention on Climate Change (UNFCCC) are required to submit greenhouse gas (GHG) inventories accounting for the emissions and removals occurring within their geographic territories. The Intergovernmental Panel on Climate Change (IPCC) provides inventory methodology guidance to the Parties of the UNFCCC. This methodology guidance, and national inventories based on it, omits carbon dioxide (CO₂) from the atmospheric oxidation of methane, carbon monoxide, and non-methane volatile organic compounds emissions that result from several source categories. The inclusion of this category of “indirect” CO₂ in GHG inventories increases global anthropogenic emissions (excluding land use and forestry) between 0.5 and 0.7%. However, the effect of inclusion on aggregate UNFCCC Annex I Party GHG emissions would be to reduce the growth of total emissions, from 1990 to 2004, by 0.2% points. The effect on the GHG emissions and emission trends of individual countries varies. The paper includes a methodology for calculating these emissions and discusses uncertainties. Indirect CO₂ is equally relevant for GHG inventories at other scales, such as global, regional, organizational, and facility. Similarly, project-based methodologies, such as those used under the Clean Development Mechanism, may need revising to account for indirect CO₂.     

Uncertainties in the Norwegian emission inventories of acidifying pollutants and volatile organic compounds

The uncertainties in the Norwegian emission inventory data for SO₂, NO_x, NH₃ and non-methane volatile organic compound (NMVOC) have been estimated based on expert judgements of uncertainties in input data and stochastic simulations. The SO₂ inventory is uncertain by about 4%, the NO_x inventory by about 12% and the NMVOC and NH₃ inventories by about 20%. Several possible systematic errors were identified; the SO₂ inventory is most likely overestimated, while the NH₃ and NMVOC inventories can be underestimated. Domestic shipping (for SO₂ and NO_x), crude oil loading (for NMVOC) and manure (for NH₃) are the sources that are most important for the overall uncertainty. These findings indicate that the inventory methodologies can be improved, leading to changes in the whole time series (recalculations). The robustness of emission obligations formulated as emission ceilings and percentage reductions have been compared with respect to uncertainties in input data. The formulation of obligations as emission ceilings is not very robust for any methodological improvements influencing the end year estimates. Relatively, small changes in the emission estimates can mean that obligations apparently are met without measures or that obligations hardly can be met at all. Obligations formulated as percentage reductions are on the other hand more robust, except when recalculations unequally affect the base and end year.     

Errors and uncertainties in a gridded carbon dioxide emissions inventory

Emission inventories (EIs) are the fundamental tool to monitor compliance with greenhouse gas (GHG) emissions and emission reduction commitments. Inventory accounting guidelines provide the best practices to help EI compilers across different countries and regions make comparable, national emission estimates regardless of differences in data availability. However, there are a variety of sources of error and uncertainty that originate beyond what the inventory guidelines can define. Spatially explicit EIs, which are a key product for atmospheric modeling applications, are often developed for research purposes and there are no specific guidelines to achieve spatial emission estimates. The errors and uncertainties associated with the spatial estimates are unique to the approaches employed and are often difficult to assess. This study compares the global, high-resolution (1 km), fossil fuel, carbon dioxide (CO₂), gridded EI Open-source Data Inventory for Anthropogenic CO₂ (ODIAC) with the multi-resolution, spatially explicit bottom-up EI geoinformation technologies, spatio-temporal approaches, and full carbon account for improving the accuracy of GHG inventories (GESAPU) over the domain of Poland. By taking full advantage of the data granularity that bottom-up EI offers, this study characterized the potential biases in spatial disaggregation by emission sector (point and non-point emissions) across different scales (national, subnational/regional, and urban policy-relevant scales) and identified the root causes. While two EIs are in agreement in total and sectoral emissions (2.2% for the total emissions), the emission spatial patterns showed large differences (10~100% relative differences at 1 km) especially at the urban-rural transitioning areas (90–100%). We however found that the agreement of emissions over urban areas is surprisingly good compared with the estimates previously reported for US cities. This paper also discusses the use of spatially explicit EIs for climate mitigation applications beyond the common use in atmospheric modeling. We conclude with a discussion of current and future challenges of EIs in support of successful implementation of GHG emission monitoring and mitigation activity under the Paris Climate Agreement from the United Nations Framework Convention on Climate Change (UNFCCC) 21st Conference of the Parties (COP21). We highlight the importance of capacity building for EI development and coordinated research efforts of EI, atmospheric observations, and modeling to overcome the challenges.

     

Emission inventory on company level: lessons from Russia

Developing a transparent,accurate greenhouse gas (GHG) emissionsinventory is the first step toward buildingan effective GHG management system. Todate, GHG inventories have been conductedprimarily at national levels. Theinternationally accepted inventorymethodology developed by theIntergovernmental Panel on Climate Change(IPCC) is oriented to countrywideinventories. The electricity company RAOUESR is the largest single corporateemitter of GHG in the Russian Federation. The company is responsible for about 1/3 ofRussia's CO₂ emissions; RAO's fossil fuelemissions are comparable to the fossil fuelemissions of the United Kingdom. The GHGinventory prepared by RAO is the first suchcorporate emissions inventory undertaken ina non-OECD country. In this article wepresent a detailed independent examinationof the methodology RAO applied for theinventory. We identify the most importantsources of uncertainty and we estimate theuncertainty. The main conclusion of theindependent review is that the methodologyutilized by RAO and the informationsupporting the methodology are reliable andpresent a reasonably accurate company-widepicture of RAO's CO₂ emissions. The shareof other greenhouse gases is negligiblysmall and we did not focus on this fractionof RAO's GHG emissions. As a next step, RAOmay wish to conduct more precisefacility-by-facility inventories in orderto create a robust GHG emission managementsystem.     

Sectoral emission inventories of greenhouse gases for 1990 on a per country basis as well as on 1°×1°

A set of global greenhouse gas emission inventories has been compiled per source category for the 1990 annual emissions of the direct greenhouse gases CO₂, CH₄ and N₂O, as well as of the indirect greenhouse gases (ozone precursors) CO, NO_x and NMVOC, and of SO₂. The inventories are available by sector, both on a per country/region basis and on a 1°×1° grid. Developed by TNO and RIVM for constructing the Emission Database for Global Atmospheric Research (EDGAR) Version 2.0, in co-operation with the Global Emission Inventory Activity (GEIA) of IGAC/IGBP, the inventories meet the needs of both policy-makers and atmospheric modellers. The data sources for activity data, emission factors and grid maps are discussed with the focus on anthropogenic sources of primarily CO₂, CH₄ and N₂O. The estimates of a standard group of anthropogenic sources are presented for each compound per world region.     

基于在线监测的江苏省大型固定燃煤源排放清单及其时空分布特征

大气污染物排放清单是了解各地区大气污染物排放及其时空分布,精确模拟该地区环境空气质量的最基础资料.现有大气污染物排放清单的粗时空分辨率,极大地限制了空气质量数值预报的准确性.本研究以江苏省大型固定燃煤源为例,以2012年为基准年,收集江苏省电力企业在线监控系统数据及江苏省大气核查核算表数据,结合相关文献的排放因子,分析了江苏省大型固定燃煤源主要污染物的总排放量和月变化特征.分析结果表明:1 SO2、NOx、TSP、PM10、PM2.5、CO、EC、OC、NMVOC、NH3等大气污染物的排放总量分别达到106.0、278.3、40.9、32.7、21.7、582.0、3.6、2.5、17.3、2.2 kt.2呈现2~3、7~8、12月排放量高,9~10月排放量低的月变化特征,可能原因是2~3月处于春节阶段,为保证节日供应,在此期间居民取暖、用电等都有可能增加;7~8月高温天气用电量增加,12月北方城市冬季燃煤取暖导致的煤炭消耗量增加.另外,由于部分污染物排放因子取自国内外相关文献,是本研究清单不确定性的主要因素.今后的工作可以在排放因子实测更新以及将排放清单纳入空气质量预报模式等方面进行更为深入的研究.     

兰州市高分辨率人为源排放清单建立及在WRF-Chem中应用评估

城市尺度高分辨率人为源大气污染物排放清单是城市空气质量预报预警、污染成因分析和减排措施制定的重要基础数据,目前我国西部地区城市尺度的人为源排放清单研究仍然相对薄弱,能对接于空气质量模式的排放清单更为缺乏.本文整合已发表的清单文献,建立了可对接于空气质量模式的2016年兰州市城市尺度的人为源清单模型（HEI-LZ16）,将之应用于WRF-Chem模式,评估HEI-LZ16的准确性和适用性.结果表明：兰州市2016年人为源排放的SO₂、NO_x、CO、NH₃、VOCs、PM₁₀、PM_2.5、BC和OC总量分别为25642、53998、319003、10475、35289、49250、19822、2476和1482 t·a^-1.在模拟时间内,HEI-LZ16相比于MEIC,O₃和PM_2.5的NME值分别减小了140.2%和28.8%,HEI-LZ16更加准确适用.分析了HEI-LZ16情景下模拟的PM_2.5和O₃时空分布,兰州市臭氧MDA8呈现冬春季城区低而郊区高,夏秋季河谷城区西部及其下风向地区高的分布特征,夏秋季高浓度区的分布受偏东风和光化学反应的共同影响,冬季城区O₃浓度受NO_x排放的抑制作用浓度反而降低.PM_2.5浓度的高值区主要集中在黄河河谷盆地,本研究表明沿白银—兰州黄河河谷盆地走向的西侧存在一个污染物传输通道,其对兰州市环境空气质量具有较大的影响.     

Influence of Methodology and Assumptions on Reported National Carbon Flux Inventories: An Illustration from the Canadian Forest Sector

The Intergovernmental Panel on Climate Change (IPCC) has developed guidelines to standardize the international reporting of greenhouse gas emissions and removals by signatory nations of the UN Framework Convention on Climate Change. With regard to forest sector carbon fluxes, the IPCC guidelines require only that those fluxes directly associated with human activities (i.e., harvesting and land-use change) be reported. In Canada, the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS2) has been used to assess carbon fluxes from the entire forest sector. This model accounts for carbon fluxes associated with both anthropogenic and natural disturbances, such as wild fires and insects. We combined model results for the period 1985 to 1989 with additional data to compile seven different national carbon flux inventories for the forest sector. These inventories incorporate different system components under a variety of seemingly plausible assumptions, some of which are encouraged refinements to the default flux inventory described in the IPCC guidelines. The resulting estimated net carbon fluxes varied from a net removal of 185,000 kt carbon per year of the inventory period to a netemission of 89,000 kt carbon per year. Following the default procedures in the IPCC guidelines, while using the best available national data, produced an inventory with a net removal of atmospheric carbon. Adding the effect of natural disturbances to that inventory reversed the sign of the net flux resulting in a substantial emission. Including the carbon fluxes associated with root biomass in the first inventory increased the magnitude of the estimated net removal. The variability of these results emphasizes the need for a systems approach in constructing a flux inventory. We argue that the choice of which fluxes to include in the inventory should be based on the importance of these fluxes to the overall carbon budget and not on the perceived ease with which flux estimates can be obtained. The results of this analysis also illustrate two specific points. Even those Canadian forests which are most free from direct human interactions—forests in which no commercial harvesting occurs—are not in equilibrium, and their contribution to national carbon fluxes should be included in the reported flux inventory. Moreover, those forest areas that are subject to direct management are still substantially impacted by natural disturbances. The critical effect of inventory methodology and assumptions on inventory results has important ramifications for efforts to “monitor” and “verify” programs aimed at mitigating global carbon emissions.     

我国城市生活垃圾处理处置全过程大气排放研究进展

2016年我国城市生活垃圾的年清运量突破2×108 t,并且在未来一段时间内仍会呈现上升趋势.虽然近年来我国城市垃圾无害化处理率年均增幅超过10%,但随着城市化进程的不断深入,庞大的垃圾产生量给现有城市垃圾处理系统造成巨大挑战,同时使垃圾处理处置过程中大气温室气体及污染物排放逐渐引起社会关注,如2010年我国垃圾焚烧导致大气污染物NO_x、SO₂、CO、颗粒物的排放量分别为28、12 062、6 500、4 654 t等.充分调研现有垃圾处理处置全过程大气排放的研究,总结我国城市生活垃圾收集、转运到最终处理处置大气排放物种多样、排放分散的现状,结合现有研究覆盖范围有限、研究物种稀少的局限,同时为进一步推进大气排放清单系统化和精细化的进程,提出以下建议和展望:①核算城市和地区垃圾转运过程中的大气环境成本和压缩空间;②进一步完善并扩充垃圾焚烧多种有毒有害大气污染物（如二英、重金属元素及挥发性有机物等）排放特征测试和排放清单的研究;③在完善生活垃圾填埋场温室气体排放时空分布特征的同时,健全生活垃圾填埋场颗粒物及挥发性有机物等典型大气污染物排放清单相关研究.      

Uncertainty in Agricultural CH<Subscript>4</Subscript> AND N<Subscript>2</Subscript>O Emissions from Finland – Possibilities to Increase Accuracy in Emission Estimates

According to the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol under it, industrial countries have to estimate their greenhouse gas emissions annually, and assess the uncertainties in these estimates. In Finland, agricultural methane (CH₄) and nitrous oxide (N_2O) emissions represent 7% of anthropogenic greenhouse gas emissions, and globally the share is much higher. Agriculture is one of the most uncertain emission categories (representing over 20% of greenhouse gas inventory uncertainty in Finland), due to both high natural variability of the emission sources and poor knowledge of the emission-generating processes. In this paper, we present an uncertainty estimate of agricultural CH₄ and N₂O emissions from Finland in 2002. Uncertainties were estimated based on measurement data, literature and expert judgement, and total uncertainty in agriculture was calculated using Monte Carlo simulation. According to the calculations, agricultural CH₄ and N₂O emissions from Finland were 3.7 to 7.8 Tg carbon dioxide (CO₂) equivalents, 5.4 Tg being the mean value.Estimates of CH₄ emissions are more reliable than those of N₂O. N₂O from agricultural soils was the most uncertain emission category, and the uncertainty was not reduced by using available national measurement data of N₂O fluxes. Sensitivity study revealed that the uncertainty in total agricultural inventory could be 7% points lower, if more accurate emission estimation methods were used, including 1) improved data collection in area estimates of organic soils, 2) climate-specific methods for N₂O from agricultural soils as already presented in literature, and 3) more detailed CH₄ estimation methods for enteric fermentation which can be achieved by investigating national circumstances and digestible systems of animals in more detail.     

Uncertainties in greenhouse gas emission inventories — evaluation,comparability and implications

This paper reviews quantitative assessments of uncertainty in level and trend in national greenhouse gas inventories. The reported uncertainty in the total emissions of high-quality greenhouse gas inventories ranges from ±5–20% in studies of five industrialised countries. The differences in uncertainty are, in particular, due to different subjective assessment of the uncertainty in emissions of nitrous oxide from agricultural soils. The fraction of CO₂ in the inventory has little effect on the uncertainty. The uncertainties in trends are about ±4–5 percentage points for those countries that have made estimates. High uncertainties of emission levels indicate potential for improvements and, consequently, recalculations. Recalculations will reduce uncertainty, but might also cause practical problems. A high uncertainty in the emission level for large emission sources may be an obstacle for assessing cost-effective reduction strategies as well as for designing effective systems of emission trading. This could imply that the more uncertain emission sources should be excluded from emission trading. Alternatively, subjective uncertainty estimates may be expressed in terms of an economic risk of recalculation. The latter system may allow a market-based encouragement to reduce emission uncertainty. Reductions in uncertainties are anticipated in the future. However, it will be extremely difficult to reduce the trend uncertainty. Trend uncertainties may consequently remain high compared with the emission reduction targets in the Kyoto protocol.     

中国城镇污水处理厂温室气体排放时空分布特征

城镇污水处理厂由于运行过程中能够大量产生二氧化碳(CO_2)、甲烷(CH_4)和氧化亚氮(N_2O),而被视为重要的人为温室气体释放源.采用基于污染物削减量的排放因子法建立了2014年中国城镇污水处理厂温室气体(CO_2、CH_4和N_2O)排放清单,并分析温室气体排放的时空分布和影响因素.结果表明,2014年中国城镇污水处理厂温室气体排放总量(以CO_2-eq计)为7 348.60 Gg,CO_2、CH_4和N_2O排放量分别为6 054.57 Gg、27.47 Gg(769.08 Gg,以CO_2-eq计)和1.98 Gg(524.95 Gg,以CO_2-eq计);各省份间排放量差异明显,华东地区排放量较高,西北地区排放量较低,西藏几乎没有排放,2005~2014年这10年间中国通过城镇污水处理厂排放的温室气体总量增长了229.4%,CO_2、CH_4和N_2O的涨幅分别为217.9%、217.9%和520.3%;地区经济的发展水平和污水处理量与当地城镇污水厂温室气体释放量相关性最大,人均蛋白质供应量与城镇污水厂N_2O产生量密切相关.     

On evaluating accuracy of national methane inventories

In the last few years, nearly all industrialized countries have submitted estimates of national inventories of methane and other greenhouse gases as required under the Framework Convention on Climate Change. National inventories of methane emissions in industrialized countries are fairly complete but give some suggestion of underestimation when inventory totals are compared with recent atmospheric measurements and global budgets. In this paper, possible discrepancies are assessed for fossil fuel sources and landfills based on comparisons between independent estimates and national communications. The Kyoto Protocol to the Framework Convention and the European Union make new provisions to develop procedures for technical review of national inventories and projections, and requirements for more thorough documentation from parties, which should improve accuracy. Limits to accuracy and the political implications of underestimation are discussed in this article, along with suggestions for improving inventories through better analysis, documentation and review procedures.     

Influence of agricultural activities, forest fires and agro-industries on air quality in Thailand

Annual and monthly-based emission inventories in northern, central and north-eastern provinces in Thailand, where agriculture and related agro-industries are very intensive, were estimated to evaluate the contribution of agricultural activity, including crop residue burning, forest fires and related agro-industries on air quality monitored in corresponding provinces. The monthly-based emission inventories of air pollutants, or, particulate matter (PM), NOx and SO₂, for various agricultural crops were estimated based on information on the level of production of typical crops: rice, corn, sugarcane, cassava, soybeans and potatoes using emission factors and other parameters related to country-specific values taking into account crop type and the local residue burning period. The estimated monthly emission inventory was compared with air monitoring data obtained at monitoring stations operated by the Pollution Control Department, Thailand (PCD) for validating the estimated emission inventory. The agro-industry that has the greatest impact on the regions being evaluated, is the sugar processing industry, which uses sugarcane as a raw material and its residue as fuel for the boiler. The backward trajectory analysis of the air mass arriving at the PCD station was calculated to confirm this influence. For the provinces being evaluated which are located in the upper northern, lower northern and northeast in Thailand, agricultural activities and forest fires were shown to be closely correlated to the ambient PM concentration while their contribution to the production of gaseous pollutants is much less.     

Comparison of CH4 emission inventory data and emission estimates from atmospheric transport models and concentration measurements

CH₄ emissions from two sources of emission inventory data i.e. the National Communications and the EDGAR/GEIA database, are compared with emission estimates from six global and two regional atmospheric transport models. The emission inventories were compiled using emission process parameters to establish emission factors and statistical data to derive activity data. The emission estimates were derived from an evaluation of atmospheric transport modelling results and measured concentrations of CH₄. The comparison of emission inventories and the emissions derived from atmospheric transport models shows the largest differences on the global scale to occur in biogenic CH₄ emissions, i.e. by wetlands and biomass burning. Anthropogenic CH₄ emissions due to oil and gas production and distribution, also appear rather uncertain, especially with respect to the spatial distribution of the sources. A comparison of CH₄ emissions on a smaller scale (NW Europe) showed a fair amount of agreement between National Communications, EDGAR data and results of inverse atmospheric modelling. Because most of the CH₄ emissions in this area come from reasonably well-known CH₄ emission sources like ruminants and landfills, this is a good argument. CH₄ emission from some areas in the North Sea was underestimated by inventories. This could be due to CH₄ emissions of oil production platforms in the North Sea.     

Towards the development of a global inventory for black carbon emissions

We have developed two global inventories for black carbon (BC) emissions using two distinct methods. The first method uses measured ambient concentration ratios of BC and SO₂ at locations throughout the world. We demonstrate that BC to SO₂ ratios are well correlated at most sites and that distinct ratios of BC to SO₂ apply to source areas from economically distinct regions. However, within any one economic region, the ratio of BC to SO₂ appears to be relatively constant. These facts are used to construct a global inventory of BC emissions by using previously published inventories for the emissions of sulfur. The derived inventory totals nearly 24 Tg C yr⁻¹. The second method uses estimated emission factors and published fuel production and use statistics for wood and bagasse burning, diesel fuel, and domestic and commercial coal use. The combined global emissions using the second method total 12.6 Tg C yr⁻¹. A comparison of the two inventories shows that the estimated emissions from the ratio method are within a factor of two of those derived from emission factors in regions where the data appear to be reliable. The BC inventory from the ratio method is used in the Lawrence Livermore National Laboratory global chemistry/climate model to simulate the world wide distribution of BC. The predicted concentrations are compared with available measurements from throughout the world. This comparison also supports the magnitude of the inventory which we derived from the ratio method to within about a factor of two.     

大气污染物排放源清单不确定性定量分析方法及案例研究

大气污染物排放源清单由于在数据收集过程中存在的不可避免的监测误差、随机误差、关键数据缺乏以及数据代表性不足等因素而具有不确定性,而排放源清单的不确定性指的是人们对排放清单的真实值缺乏认识和了解.介绍了目前大气排放源清单定量不确定性方法框架,并使用电厂NO_x在线监测数据,通过实际案例量化排放源清单中的不确定性.结果表明:即使对被认为具有较高准确性的火电厂点源排放清单,案例中NO_x的排放源清单来自随机误差的不确定性在±15%左右.对排放源清单的不确定性量化有助于决策者确定污染物排放削减目标的可达性和科学制定大气污染物控制策略,指导排放源清单的改进和数据收集工作.同时,对我国排放源清单开发中不确定性分析提出建议.      

Recent advances and perspectives towards emission inventories of mobile sources: Compilation approaches, data acquisition methods, and case studies

In recent years, great efforts have been devoted to reducing emissions from mobile sources with the dramatic growth of motor vehicle and nonroad mobile source populations. Compilation of a mobile source emission inventory is conducive to the analysis of pollution emission characteristics and the formulation of emission reduction policies. This study summarizes the latest compilation approaches and data acquisition methods for mobile source emission inventories. For motor vehicles, a high-resolution emission inventory can be developed based on a bottom-up approach with a refined traffic flow model and real-world speed-coupled emission factors. The top-down approach has advantages when dealing with macroscale vehicle emission estimation without substantial traffic flow infrastructure. For nonroad mobile sources, nonroad machinery, inland river ships, locomotives, and civil aviation aircraft, a top-down approach based on fuel consumption or power is adopted. For ocean-going ships, a bottom-up approach based on automatic identification system (AIS) data is adopted. Three typical cases are studied, including emission reduction potential, a cost-benefit model, and marine shipping emission control. Outlooks and suggestions are given on future research directions for emission inventories for mobile sources: building localized emission models and factor databases, improving the dynamic updating capability of emission inventories, establishing a database of emission factors of unconventional pollutants and greenhouse gas from mobile sources, and establishing an urban high temporal-spatial resolution volatile organic compound (VOC) evaporation emission inventory.     

Carbon accounting for forest harvesting and wood products: review and evaluation of different approaches

Under the United Nations Framework Convention on Climate Change, more than 160 countries are required to report their national greenhouse gas inventories. To help countries meet this requirement, the Intergovernmental Panel on Climate Change (IPCC) prepared guidelines for inventorying greenhouse gases. These guidelines are regularly reviewed to ensure that they are based on the best scientific knowledge. In May 1998, in Dakar, Senegal, an IPCC expert meeting reviewed and evaluated three approaches for accounting for carbon from forest harvesting and wood products. They are the atmospheric-flow, stock-change and production approaches. In the future, governments may decide to include one of the three approaches in the land-use change and forestry module of the IPCC Guidelines for National Greenhouse Gas Inventories. Here, we demonstrate how such approaches can be evaluated using technical, scientific and policy criteria. The purpose of this evaluation is to help policy-makers potentially choose an approach for the IPCC Guidelines. This paper presents the framework of the evaluation by separating the technical and policy issues of each approach, but it does not make policy recommendations. On technical and scientific grounds, a group of experts found that the three approaches gave similar results at a global level. Data availability is not a critical factor in choosing between the approaches. However, at the national level, the approaches can differ significantly, for example, in terms of their system boundaries. Depending on technical features of each approach, credits and debits for CO₂ flows or changes in carbon stock in wood products are accounted for differently among countries that produce or consume wood. This leads to differing incentives for conserving or enhancing carbon stocks in forests, the use of imported wood products and woodfuels and waste minimisation strategies. Each approach has different implications.     

2013年1月华北地区重霾污染过程SO2和NOx的CMAQ源同化模拟研究

以2006年中国地区的INTEX-B排放清单为基础,采用CMAQ模式污染源同化方法,反演更新了2013年1月重霾污染过程华北地区的SO₂和NO_x排放源;应用WRF-CMAQ模式以及2006年INTEX-B初始排放源和2013年1月改进的排放源,分别模拟了1月9-15日和28-31日两次持续重霾污染过程的SO₂和NO₂浓度,并与华北地区47个环境监测站点实测值进行对比,重点分析了基于初始源和同化反演源的模拟效果及其改进原因;本文亦采用2012年清华大学编制的东亚地区MEIC排放清单评估了SO₂和NO_x同化反演源的合理性.分析结果表明:①CMAQ模式污染源同化方法可适用于重霾污染过程,即采用同化反演源模拟的SO₂、NO₂浓度时空变化特征与实测值较一致,而且可反映SO₂、NO_x排放源强的动态变化特征;②基于同化反演源的SO₂、NO₂浓度模拟效果明显优于2006年INTEX-B排放源,其时间变化趋势与实测值较一致,而且可模拟重霾污染过程SO₂、NO₂浓度的峰值;③采用反演源模拟的SO₂、NO₂浓度空间区分布特征与实测值较一致,而且可较好反映重污染区的极值分布特征;④经污染源同化改进后SO₂、NO₂模拟浓度与实测值的相关系数有所提高,误差明显减小;SO₂的改进效果略优于NO₂,这与污染源对两种污染物浓度的影响差异有关;⑤初始源中SO₂、NO_x排放源的空间分布和强度与2012年清华大学编制的排放源强差异较大,而同化反演源的空间分布和强度均接近于上述2012年排放源,较好反映出重点地区的高污染源分布特征.本文研究结果将为改进重霾污染过程的空气质量预报、减小自下而上建立的排放源清单不确定性、评估SO₂、NO_x等排放源的影响效应以及不同气象条件下区域排放源的动态调控等提供新技术途径和研究思路.