城市汽车年检碳排放数据挖掘及其应用研究

基于城市汽车年检中CO₂的过程动态检测数据,对小型汽油客车CO₂的排放因子和排放水平信息进行了挖掘,并与文献研究结果进行了对比.结果表明,从城市汽车年检数据中挖掘的CO₂排放结果可以作为研究城市机动车碳排放的重要参考依据;合理有效地利用汽车年检数据可以为城市车辆尾气排放的精准分级管控、城市交通运输碳排放达峰的量化分析,以及城市交通源的污染物和CO₂协同减排提供重要的数据支撑;从国Ⅰ到国Ⅴ不同排放阶段汽油车的常规污染物CO、NO_x和HC的排放水平下降非常明显,而对应的CO₂排放水平差异不大;CO₂排放因子随累计行驶里程、车龄、基准质量和排量的变化关系反映出,如果需要削减城市汽车碳排放水平,应鼓励使用基准质量小或者排量小的车辆,淘汰高油耗高排放的老旧车辆,鼓励公共绿色出行而降低单车活动水平,增加纯电动车辆优化车队能源结构.     

On-road emissions of CO, CO2 and NOX from four wheeler and emission estimates for Delhi

This study presents the emission factor of gaseous pollutants(CO, CO_2, and NO X) from on-road tailpipe measurement of 14 passenger cars of different types of fuel and vintage. The trolley equipped with stainless steel duct, vane probe velocity meter, flue gas analyzer, Nondispersive infra red(NDIR) CO_2 analyzer, temperature, and relative humidity(RH) sensors was connected to the vehicle using a towing system. Lower CO and higher NO X emissions were observed from new diesel cars(post 2010) compared to old cars(post 2005), which implied that new technological advancement in diesel fueled passenger cars to reduce CO emission is a successful venture,however, the use of turbo charger in diesel cars to achieve high temperature combustion might have resulted in increased NO X emissions. Based on the measured emission factors(g/kg), and fuel consumption(kg), the average and 95% confidence interval(CI) bound estimates of CO, CO_2,and NO X from four wheeler(4W) in Delhi for the year 2012 were 15.7(1.4–37.1), 6234(386–12,252),and 30.4(0.0–103) Gg/year, respectively. The contribution of diesel, gasoline and compressed natural gas(CNG) to total CO, CO_2 and NO X emissions were 7:84:9, 50:48:2 and 58:41:1respectively. The present work indicated that the age and the maintenance of vehicle both are important factors in emission assessment therefore, more systematic repetitive measurements covering wide range of vehicles of different age groups, engine capacity, and maintenance level is needed for refining the emission factors with CI.     

郑州市公交车队电动化减污降碳环境效益

公交车队电动化是道路交通部门实现减污降碳的重要手段,评估当前公交车队电动化减排成效,对推进大中型城市公交全面电动化具有重要参考意义.基于燃料生命周期法分析了郑州市公交车队电动化前后CO₂和污染物排放特征,并评估了不同电动化情景下的车队排放.结果表明,本轮电动化使公交车队燃料生命周期内CO₂和PM_2.5排放量分别增长32.6%和42.6%,CO、NO_x和VOC排放量下降了28%,34%和25%.优化发电结构对于电动化过程中的CO₂及PM_2.5减排尤为重要,在全面电动化和发电结构优化的最佳情景下,CO₂、CO、NO_x、VOC和PM_2.5减排可达38.7%、80.1%、84.4%、92.2%、30.2%.在全面电动化进程中,应优先对中长里程线路车辆进行电动化替换,此外,插电混动天然气车型的纯电动化替换对减排利弊兼有,同步推进车队替换和电力结构调整进程才能实现减污降碳协同增效.     

2010年中国机动车CH4和N2O排放清单

中国大部分机动车温室气体排放研究都集中于CO₂排放,对于CH₄和N₂O等排放的研究鲜见. 以中国机动车污染防治年报(2011年)、中国汽车工业年鉴(2011年)、中国统计年鉴(2011年)以及交通运输部发布的相关信息和数据(2011年)等为基础,结合文献调研和2008─2010年对北京、广州等国内10余座典型城市的实地调查结果,获得2010年我国机动车活动水平及排放特征. 基于上述基础信息,解析得到按不同车型、燃料和车龄分布的机动车保有量、年均行驶里程及排放因子,建立2010年中国机动车CH₄和N₂O排放清单. 结果表明:2010年中国机动车CH₄和N₂O排放量分别为23.90×104和6.01×104t,折算成CO₂分别为501.99×104和1862.51×104t. 不确定性分析则显示,中国CH₄排放量在18.21×104～27.52×104t之间,N₂O排放量在4.32×104～7.62×104t之间. 在机动车中,汽车CH₄和N₂O排放量最大,分担率(某车型污染物排放量占机动车排放总量的比例)分别为77.99%和94.22%,而摩托车和农用车排放分担率较小. 在各类汽车中,CH₄排放主要来源于轻型汽油车和天然气出租车,二者的排放分担率分别为47.98%和23.42%;N₂O排放则主要源于轻型汽油车,其分担率为73.09%. 因此,轻型汽油车是削减机动车CH₄和N₂O排放的重点车型,同时天然气出租车也应作为控制CH₄排放的主要车型.      

基于中国电网结构及一线典型城市车辆出行特征的PHEV二氧化碳排放分析

中国电网火电比例的空间差异与插电式混合动力汽车（PHEV）驱动能源的二元性增加了研究PHEV二氧化碳排放的复杂性.使用上海市50辆PHEV汽车13万km的数据,研究了基于PHEV实际运行数据的二氧化碳排放评估方法,分析了PHEV纯电驱动里程比例及其影响因素,获得了纯电续驶里程、充电频率、电网构成对PHEV二氧化碳排放强度的影响,展望了2020年PHEV技术水平的二氧化碳减排效果.结果表明,我国一线城市PHEV乘用车出行主要集中在50 km以内的范围,占日常出行频次的70%;在2016年全国平均电网结构下,续驶里程超过50 km的PHEV比传统燃油车少排放15%以上的二氧化碳;在高比例可再生能源电网结构的地区,PHEV碳排放可降至100.0 g·km^-1以下,相比平均电网结构下碳排放水平降低幅度在28%以上;在2016年平均电网结构及技术水平下,纯电续驶里程增加（50~100 km）、充电频率增加（0.5~2次·d^-1）对碳排放的改善幅度不明显;与2016年相比,2020年PHEV燃油经济性和电耗水平的改善可降低32%的碳排放.     

辽宁省2000~2030年机动车排放清单及情景分析

机动车排放已经成为城市地区大气污染的主要来源.基于COPERT模型和ArcGIS技术,建立了2000~2030年辽宁省机动车排放清单,分析6类污染物（CO、NMVOC、NO_x、PM₁₀、SO₂和CO₂）排放的总体趋势与空间演变特征,同时以2016年为基准年,基于情景分析法设置8类控制措施情景并评估不同控制措施对污染物的减排效果.结果表明2000~2016年,机动车的CO、NMVOC、NO_x和PM₁₀排放量呈现先增后降的趋势,SO₂排放量呈现波动变化,而CO₂排放量则呈现持续增长态势.轻型载客车和摩托车是CO和NMVOC排放的主要贡献车型,重型载客车和重型载货车是NO_x和PM₁₀的主要排放源,SO₂和CO₂则主要是由轻型载客车排放.辽宁省中部及南部机动车排放量明显高于辽东和辽西.从城市层面来看,排放主要集中在沈阳市和大连市.情景分析表明,实施更加严格的排放标准可以增强减排效果,且升级排放标准的时间越提前减排效果越好.综合情景将实现减排最大化,强化综合情景对CO、NMVOC、NO_x、PM₁₀、CO₂和SO₂的削减率达到了30.7%、14.3%、81.7%、29.4%、12.3%和12.1%.     

基于LEAP模型的兰州市道路交通温室气体与污染物协同减排情景模拟

基于LEAP模型,构建了2015～2040年兰州市道路交通发展“零措施”的基准（BAU）情景以及低碳（LC）和强化低碳（ELC）这2个节能减排情景,模拟评估各项政策和措施下能源消耗情况和温室气体与大气污染物协同减排效果.结果表明,LC情景能源消耗和CO₂排放将于2026年达峰,ELC情景能源消耗和CO₂排放将于2020年达峰;两种情景下,NO_x、 CO、 HC、 PM_2.5和PM₁₀等污染物排放量于2015～2017年间开始出现大幅下降,下降趋势于2023年前后逐渐减缓.结合措施可行性和减排成本,LC情景可作为兰州市道路交通碳达峰减排情景：到2040年能源消耗量、 CO₂、 NO_x、 CO、 HC、 PM_2.5和PM₁₀排放相对于BAU情景的削减率分别达到-24.17%、-26.57%、-55.38%、-65.91%、-72.87%、-76.66%和-77.18%.兰州市道路交通当前应以公共...     

CO2 emission reduction for Japanese petrochemicals

Energy efficiency in the Japanese industry is one of the highest in the world. As a consequence, reduction of CO₂ emissions is considered to be difficult and costly. However little attention has been paid as of yet to changes related to so-called non-energy use of fossil fuels. The analysis in this paper suggests that a large number of options exist for emission reduction in the Japanese petrochemical industry. This includes the introduction of biomass feedstocks, the introduction of new catalytic production processes, and changes in waste handling. The use of bioplastics and the use of CO₂ feedstocks seem costly options for GHG emission reduction that should not be applied on the short term. Japanese GHG emissions can be reduced by 7.7% if the optimal set of emission mitigation options is applied. About 60 Mt emission reduction (4.9%) can be achieved by changes on the supply side, another 35 Mt emission reduction (2.8%) can be achieved by changes in waste management. While changes in waste management can be implemented before 2010, biomass introduction on the supply side will probably require a longer lead-time. About half of the emission reduction is cost–effective, but will require further technology development. The other half can be achieved at a cost level of 10,000 yen/t CO₂ (80 US$/t CO₂). The latter part is based on proven technology that is currently not cost–effective.     

Bus fleet emissions: new strategies for mitigation by adopting natural gas

Energy consumption is related to local, regional and global impacts. Thus, by comparing different replacement scenarios of diesel vehicles with compressed natural gas, this article estimates pollutants and greenhouse gases emission in the city of São Paulo, Brazil. The calculation of fuel consumption is based on fleet characteristics, in terms of vehicle age, the average annual distance travelled by bus depending on the year and average fuel consumption. These values served as a basis to develop scenarios considering that a percentage of new vehicles that will be phased out and replaced with ones running on natural gas. Results show that the total avoided emissions can range from 579 thousand tons to 1.375 million tons of carbon dioxide (CO₂₎ over 20 years, depending on the scenario. For particulate matter, accumulated avoided emissions vary from 251 thousand to 584 tons over 20 years. The replacement of diesel buses with natural gas-fuelled buses presents favourable results, in comparison with the tendency scenario for CO₂ and particulate matter. Thus, a public policy for fuel replacement in largest cities, such as Sao Paulo, has an important global impact, especially when allowing the introduction of a renewable energy source, such as biogas. It will benefit from the natural gas previous infrastructure, which is largely available in Brazil. As recommendations, we explain the need to review the city of Sao Paulo Climate Change Law to allow the use of natural gas. Fuel replacement should be integrated with a public policy/public policies and operational strategies to promote citizens´ health as well as historical, cultural and heritage conservation for the city and its future generations.     

基于LCA的新能源轿车节能减排效果分析与评价

新能源汽车在行驶过程中具有节能、环保等优点,在我国目前汽车保有量激增、能耗总量和温室气体排放量不断增大,城市交通对城市空气污染贡献日益增加的情况下,应用和推广新能源汽车被视为替代传统汽车、减缓环境危害的重要工具,但其生产阶段的能耗及污染问题同样不容忽视.因此,本研究运用生命周期评价(LCA)方法,选用美国阿贡国家实验室开发的GREET模型,对混合动力轿车、纯电动轿车、氢燃料电池轿车、E10乙醇汽油轿车4类新能源轿车在车辆制造、燃料及电力生产、行驶、拆解4个阶段的能耗及主要大气污染物排放进行了分析计算,并与传统汽油轿车进行比较.结果表明,同传统汽油轿车相比,4种新能源轿车的全生命周期能耗有不同程度的降低,其中,纯电动轿车在降低能耗方面最具优势.同时,4种新能源轿车全生命周期综合环境影响均低于传统汽油轿车,其中以氢燃料电池轿车的综合环境影响最小.     

东莞市低碳路径下加速电气化对CO2和污染物协同减排影响

城市是能源消耗的中心，电气化可以整合城市能源结构，实现清洁能源高效利用，探究城市低碳路径下加速电气化的协同减排影响对实现城市减污降碳至关重要.基于长期能源替代规划模型(LEAP-DG),设置了基准情景、低碳情景和加速电气化情景等3类情景，评估电气化措施在不同电力结构下的减排潜力，量化重点部门的措施贡献，探讨广东省典型制造业城市东莞的协同减排效果.结果表明，电力结构优化促进了电气化措施的协同减排效果，低碳路径下加速电气化将进一步降低电力污染物排放强度，2050年，东莞市CO₂、 NO_x、 VOC和CO减排7.35×10⁶、 1.28×10⁴、 1.62×10⁴和8.13×10⁴ t, SO₂和PM_2.5消费侧减排量和生产侧增排量达到平衡.电气化渗透速率和电力结构优化协调发展是电气化措施实现减排效益的关键，工业和交通部门加速电气化将同时降低CO₂和大气污染物排放，交通部门得益于燃油车和电动车的高...     

Carbon tax,emission trading,or the mixed policy: which is the most effective strategy for climate change mitigation in China?

China, as the world’s largest emitter, intends to achieve the peaking of carbon dioxide (CO₂) emissions around 2030 and to make best efforts to peak early to mitigate global change. Under this strategy, a dynamic, recursive computable general equilibrium (CGE) model is used to analyze the economy, energy, and environment impact of CO₂ emission reduction policy based on 17 scenarios in China: carbon tax, emission trading scheme (ETS), and the mixed policy in different price level, in order to find out which kind of emission reduction strategy is more feasible. The results show that CO₂ emission in 2030 will be reduced with the implementation of tax, ETS and mixed policy, by 10–13 %, 12–14 %, and 18–28 %, respectively. From 2016 to 2030, China can reduce 18,338–24,156 Mt CO₂ through the implementation of mixed policy. Furthermore, relative to single policy, mixed policy has stronger effects on primary energy consumption cut, by 738–1124 Mtoe or 18–28 %, which will make CO₂ emissions reach a peak before 2030 and the peak emission is not greater than 12 billion tons which is in line with the reduction demand in China. Thus, the mixed policy is the most effective strategy so that mixed policy is recommended to parties included in Annex I in United Nations Framework Convention on Climate Change Kyoto Protocol and other countries with large potential of emission reduction, while ETS is suggested to countries with low carbon emissions per capita which can balance economic development and CO₂ mitigation.     

Urban CO<Subscript>2</Subscript> emissions in Xi’an and Bangalore by commuters: implications for controlling urban transportation carbon dioxide emissions in developing countries

China and India together have more than one third of the world population and are two emerging economic giants of the developing world now experiencing rapid economic growth, urbanization, and motorization. The urban transportation sector is a major source of carbon dioxide (CO₂) emissions in China and India. The goal of this study is to analyze the characteristics and factors of CO₂ emissions produced by commuters in Chinese and Indian cities and thus to identify strategies for reducing transportation CO₂ emissions and mitigating global climate change. Xi’an in China and Bangalore in India were chosen as two case study cities for their representativeness of major cities in China and India. The trends of CO₂ emissions produced by major traffic modes (electric motors, buses, and cars) in major cities of China and India were predicted and analyzed. The spatial distributions of CO₂ emissions produced by commuters in both cities were assessed using spatial analysis module in ArcGIS (Geographic Information System) software. Tobit models were then developed to investigate the impact factors of the emissions. The study has several findings. Firstly, in both cities, the increase of vehicle occupancy could reduce commuting CO₂ emissions by 20 to 50 % or conversely, if vehicle occupancy reduces, an increase by 33.33 to 66.67 %. It is estimated that, with the current increasing speed of CO₂ emissions in Xi’an, the total CO₂ emissions from electric motors, buses, and cars in major cities of China and India will be increased from 135?×?10⁶ t in 2012 to 961?×?10⁶ t in 2030, accounting for 0.37 to 2.67 % of the total global CO₂ emissions of 2013, which is significant for global climate change. Secondly, households and individuals in the outer areas of both cities produce higher emissions than those in the inner areas. Thirdly, the lower emissions in Xi’an are due to the higher density and more compact urban pattern, shorter commuting distances, higher transit shares, and more clean energy vehicles. The more dispersed and extensive urban sprawl and the prevalence of two-wheeler motorbikes (two-wheeler motorbike is abbreviated as “two-wheeler” in the following sections) fueled by gasoline cause higher emissions in Bangalore. Fourthly, car availability, higher household income, living outside the 2nd or Outer Ring Road, distance from the bus stop, and working in the foreign companies in Bangalore are significant and positive factors of commuting CO₂ emissions. Fifthly, “70-20” and “50-20” (this means that generally, 20 % of commuters and households produce 70 % of total emissions in Xi’an and 20 % of commuters and households produce 50 % of total emissions in Bangalore) emission patterns exist in Xi’an and Bangalore, respectively. Several strategies have been proposed to reduce urban CO₂ emissions produced by commuters and further to mitigate global climate change. Firstly, in the early stage of fast urbanization, enough monetary and land investment should be ensured to develop rail transit or rapid bus routes from outer areas to inner areas in the cities to avoid high dependency on cars, thus to implement the transit-oriented development (TOD), which is the key for Chinese and Indian cities to mitigate the impact on global climate change caused by CO₂ emissions. Secondly, in Bangalore, it is necessary to improve public transit service and increase the bus stop coverage combined with car demand controls along the ring roads, in the outer areas, and in the industry areas where Indian foreign companies and the governments are located. Thirdly, Indian should put more efforts to provide alternative cleaner transport modes while China should put more efforts to reduce CO₂ emissions from high emitters.     

轻型汽油车简易瞬态工况法与定容全流稀释采样法(CVS)的排放相关性

选取25辆国2~国5标准在用轻型汽油车分别采用简易瞬态工况法(VMAS)与定容全流稀释采样法(CVS)开展了排放实测,分析了两种方法实测的排放因子相关性.结果表明,轻型汽油车排放水平总体随排放标准提升而呈下降趋势,国2和国3标准车辆中存在一定的高排放现象,国4及以上标准车型排放相对较低.VMAS和CVS方法的排放相关性随标准提升而显著下降,对国4及以上标准车辆的CO和HC+NO_x排放的相对偏差分别达到197%和177%.对较高排放车辆,两种方法检测结果的相关系数达到0.75~0.85;对较低排放车辆,相关系数仅为0.46左右,若将在用车排放标准进一步收严,采用VMAS检测的误判率将显著上升.随着我国机动车排放水平的不断下降,总体来看,VMAS检测对高排放标准车辆的适用性相对较差,有必要在用车排放检测方法方面开展更为深入的研究.     

Evaluating the long-term effectiveness of the Phoenix IM240 program

In an earlier analysis of the Phoenix Enhanced I/M program, we found that the effectiveness of the program decreased in the few months following final I/M testing. In this analysis we tracked individual cars over two successive I/M cycles. We find that 60% of cars that failed their initial I/M test and eventually passed a retest (presumably after repairs) passed their next biennial I/M test. However, 40% failed their next biennial test. Half of these repeat failures failed for the same combination of pollutants in each I/M cycle, suggesting that repairs were never made or were somehow deficient. More importantly, emissions of cars that passed their initial test in the first cycle increased dramatically over the two years between I/M tests; most of this increase came from older cars. This suggests that more frequent testing of older vehicles could make I/M programs more effective. The net result is that the overall emission reductions from a given fleet of cars over two biennial I/M cycles appear to have been rather small, less than 10% for each pollutant. These emission reductions are the minimum attributable to the program; reductions from what emissions would have been without the I/M program would likely have been greater. In addition, large numbers of failing cars did not appear to be completing program requirements, further limiting program effectiveness. And cars immigrating into the area from other states appeared to have slightly higher emissions than the native car fleet. I/M program managers should conduct similar analyses to determine how effective their programs are in reducing emissions, and how to address identified shortcomings.     

推广新能源汽车碳减排和大气污染控制的协同效益研究——以上海市为例

随着我国机动车数量的持续增长,交通运输行业已经成为仅次于工业部门的第二大能源消费部门,也是温室气体排放和空气污染物的主要贡献部门.为了支持低碳发展,自2009年起,中国便开始使用新能源汽车取代传统燃油汽车.通过上海市2016年纯电动和插电式混合动力的私家车、出租车和公交车的行驶情况、能源消耗和排放因子等数据,对新能源汽车运行过程以及所需电能生产过程中产生的大气污染物和CO₂的排放量进行了测算,利用协同控制坐标系评价和污染物减排量交叉弹性分析方法探讨了新能源汽车的协同减排能力与效果.基于协同效益潜力分析结果,对推广3类新能源汽车的协同效益进行了排序,结果表明纯电动公交车具有最佳的碳减排和大气污染控制协同效益,纯电动以及插电式混合动力私家车和出租车对CO、NO_x、NMHC、PM₁₀都具有协同效益,而插电式混合动力公交车不具备协同效益.     

中国氢燃料电池车燃料生命周期的化石能源消耗和CO2排放

氢燃料电池车(FCV)具有运行阶段高能效和零排放的优点,近年来得到快速的商业化发展.氢能生产具有多种技术路径,不同路径的能源和环境效益存在显著差异.本研究采用生命周期评价方法,运用GREET模型对不同氢燃料路径下的FCV燃料周期(WTW)的化石能源消耗和CO_2排放进行了全面评价.选取了多种制氢路径作为评价对象,建立了中国本地化的FCV燃料生命周期数据库,在此基础上分析了FCV相对传统汽油车的WTW节能减排效益,并和混合动力车和纯电动车进行比较.结果表明,使用可再生电力和生物质等绿色能源制氢供应FCV能取得显著的WTW节能减排效益,可削减约90%的化石能耗和CO_2排放.在发展相对成熟的传统能源制氢路径中,以焦炉煤气制得氢气为原料的FCV,能产生显著的节能减排效益,其化石能耗低于混合动力车,CO_2排放低于混合动力车和纯电动车.结合对资源储备和技术成熟度的考虑,我国在发展氢能及FCV过程中,近期可考虑利用焦炉煤气等工业副产物制氢,并且规划中远期的绿色制氢技术发展.     

北方典型设施菜地土壤CO2排放特征

为研究我国北方典型设施菜地的土壤CO₂排放特征及其影响因素,通过原位监测手段,研究山东省寿光市农田转变为不同种植年限（6、12 a）设施菜地及设施菜地荒废12 a后土壤CO₂排放规律及影响因素.结果表明:①种植6 a设施菜地较农田具有较高的土壤CO₂排放量,可能是由于设施菜地种植过程中大量施加有机肥造成的,并且设施菜地土壤温度及含水率较高,增加了土壤蔗糖酶活性,加剧土壤CO₂排放.②当种植年限超过10 a,设施菜地施肥量减少,降低了土壤微生物可利用底物的供应.因此,种植12 a设施菜地土壤CO₂排放量降至农田水平.③种植6 a设施菜地土壤的w（DOC）（DOC表示水溶性有机碳）比农田较高.④土壤CO₂排放年内分配不均匀,表现为农田及荒废设施菜地土壤CO₂排放主要集中在5—8月,其排放量占全年的75.09%、87.02%,峰值出现在7月.种植6 a设施菜地土壤CO₂排放主要集中在5—8月和11月—翌年2月,两阶段排放量分别占全年的48.48%、42.34%,峰值分别出现在7月、12月.研究显示,农田转变为设施菜地短期（种植6 a）内可显著促进土壤CO₂排放及DOC的输出,但随着种植年限延长至12 a,土壤CO₂排放降至农田水平.      

WLTC循环下汽油车氨排放影响因素分析

为研究WLTC（worldwide light-duty test cycle,全球轻型汽车驾驶循环）循环下常规污染物和行驶工况对汽油车NH₃排放的影响,选定一辆满足国Ⅴ排放标准、配备TWC（three way catalyst,三元催化器）尾气后处理装置的轻型汽油车,测定其在WLTC循环下CO₂、CO、NO_x和NH₃的摩尔排放量.结果表明:CO、NO_x与NH₃排放的线性相关系数分别为0.626和0.321.NH₃高排放的出现除了伴有CO的高排放外,还需车辆具有高速和持续的正向加速度.用配备TWC尾气后处理装置前、后NO_x排放量的差值表示NO_x的转化量发现,NO_x的高转化量并不一定对应NH₃的高排放量,在循环后期大量产生的NO_x会抑制NH₃的排放.由于VSP（vehicle specific power,比功率）能综合反映行驶工况,研究行驶工况对NH₃排放的影响时主要分析VSP与NH₃之间的关系,通过VSP聚类方法将VSP划分为不同区间,得出当VSP Bin（vehicle specific power bin,比功率区间）大于0时,基于CO₂的NH₃排放基本呈随VSP Bin增大而增加的规律,并且基于CO₂的NH₃排放量最大值对应的VSP Bin为持续正向加速工况.研究显示,常规污染物中CO和NO_x对NH₃的排放会产生不同程度的影响,加速度作为行驶工况的表征参数之一会直接或通过影响CO和NO_x的排放间接影响NH₃的生成.      

Low-carbon transition of iron and steel industry in China: Carbon intensity, economic growth and policy intervention

As the biggest iron and steel producer in the world and one of the highest CO₂ emission sectors, China's iron and steel industry is undergoing a low-carbon transition accompanied by remarkable technological progress and investment adjustment, in response to the macroeconomic climate and policy intervention. Many drivers of the CO₂ emissions of the iron and steel industry have been explored, but the relationships between CO₂ abatement, investment and technological expenditure, and their connections with the economic growth and governmental policies in China, have not been conjointly and empirically examined. We proposed a concise conceptual model and an econometric model to investigate this crucial question. The results of regression, Granger causality test and impulse response analysis indicated that technological expenditure can significantly reduce CO₂ emissions, and that investment expansion showed a negative impact on CO₂ emission reduction. It was also argued with empirical evidence that a good economic situation favored CO₂ abatement in China's iron and steel industry, while achieving CO₂ emission reduction in this industrial sector did not necessarily threaten economic growth. This shed light on the dispute over balancing emission cutting and economic growth. Regarding the policy aspects, the year 2000 was found to be an important turning point for policy evolution and the development of the iron and steel industry in China. The subsequent command and control policies had a significant, positive effect on CO₂ abatement.