北京2010年10月一次典型灰霾过程光学特性分析

利用探空资料、NECP再分析资料、AERONET气溶胶反演资料等分析了北京地区一次典型灰霾天气过程的成因及气溶胶光学特性参数变化情况.结果表明:此次灰霾期间,稳定的环流形势、湿润的环境及逆温结构的存在是灰霾得以持续和发展的重要原因.灰霾期间AOD、PM2.5浓度逐渐增大,能见度逐渐降低,这可能与局地气溶胶的累积和相对湿度的增大有关,使气溶胶粒子的消光性增强.气溶胶的体积谱表现为双峰型结构,细粒子体积浓度峰值远大于粗粒子浓度峰值,且细粒子浓度峰值逐日增大,Angstrom波长指数在1.2~1.4之间,两参数均可表明此次灰霾过程的污染粒子以气溶胶细粒子为主;灰霾期间SSA逐日增大,表明气溶胶粒子的散射性逐渐增强,SSA随波长的变化主要呈现两种变化趋势,这与当日主控粒子的尺度有关.因气溶胶的作用,使到达地面的辐射通量减小.这些光学特性参量的变化为了解北京地区灰霾期间气溶胶特性及其气候效应提供了参考.     

黄山大气气溶胶新粒子生长特性观测分析

利用2012年9月22日~10月28日黄山地区大气气溶胶、二氧化硫和臭氧观测数据,结合气象数据,分析气溶胶新粒子的生成-增长特征.分析发现,在33个有效观测日中,有新粒子生成-增长的观测日占总数的18.2%,其中晴天的发生频率为37.5%,新粒子生成-增长都开始于晴天上午,与无新粒子观测日相比,太阳辐射量、风速、SO2及O3浓度较高,环境温度和相对湿度较低.气溶胶新粒子的增长具有由小及大的特点,核模态气溶胶粒子(10~20nm)数浓度最先增加,爱根核模态粒子(20~50nm)数浓度随着时间推移逐渐增大,但浓度峰值依次下降,平均增长率为3.58nm/h. SO2浓度先于核模态气溶胶数浓度到达峰值,其氧化后的产物H2SO4为新粒子的核化提供前体物,并且参与新粒子的增长过程,当SO2浓度较低时,不会发生新粒子生长事件.     

基于三维空气质量模型的广东省臭氧生成速率分析

使用WRF/CAMx模型及化学过程分析(CPA)模块,系统研究了广东省夏、秋季的臭氧生成敏感性与生成速率。夏季,广州与东莞等珠三角中部地区臭氧生成主要对VOCs敏感,郊区的臭氧生成速率较大,珠江口地区是重要的臭氧生成源区,夏季白天(08:00-17:00)平均净臭氧生成速率可达37μg/(m^3·h),位于珠三角东北部的天湖白天平均净臭氧生成速率约为25μg/(m^3·h)。秋季,珠江口西岸臭氧生成主要对VOCs敏感,秋季臭氧生成速率显著低于夏季。夏、秋季珠三角大部分地区臭氧生成敏感性从早上对VOCs敏感逐步过渡到下午对NO_x敏感,广东其他大部分地区则全天均为NOx敏感,一般在VOCs敏感区中的臭氧生成速率与化学消耗速率均较大。中心城区的臭氧生成弱,臭氧净化学消耗强。     

四川乡村点新粒子生成特征及其对云凝结核数浓度的贡献

为揭示成渝地区大气复合污染成因,选择乡村点资阳站的冬季,实测了颗粒物数浓度及其粒径谱分布、云凝结核(CCN),在二氧化硫、光解速率(JO1D)实测值基础上估算了新粒子生成的重要前体物气态硫酸的浓度.2012年12月5日到2013年1月5日观测期间,3~582nm颗粒物数浓度水平较高,平均值为(16072±9713)cm-3.颗粒物数谱分布呈现以积聚模态为主体的特征,占总颗粒物数浓度的46%,此比值高于我国北京、上海、广州等城市和珠江三角洲及长江三角洲的乡村点和背景点.在较高颗粒物凝结汇(CS)水平下[(4.3±3.6)×10-2s-1],甄别出7次新粒子生成(NPF)事件,占观测天数的23%.NPF事件发生时,颗粒物生成速率与增长速率分别为(5.2±1.4)cm-3s-1,(3.6±2.5)nm/h. NPF事件对CCN数浓度有明显贡献,NPF发生后CCN数浓度平均增长19%.     

生物炭对土壤水肥热效应的影响试验研究

本文通过野外大田小区试验以番茄（Lycopersicon esculentum Mill）为供试作物,通过在土壤中施加不同含量生物炭（Biochar）研究生物炭对土壤含水率、有机碳、速效养分含量和土壤温度的影响,从而寻求一个较为合适的施用量,为生物炭在内蒙古地区的大面积推广提供科学的理论依据。试验共设5个处理,3个重复：不施加生物炭（CK）,生物炭使用量分别为10 t·hm^-2（A）,20 t·hm^-2（B）,40 t·hm^-2（C）,60 t·hm^-2（D）,在各生育期取土样测定土壤含水率、有机碳、速效养分含量,并在各生育期连续3天测定土壤地表温度。试验结果表明：不同处理下土壤含水率随生物炭施用量增加呈先增加后减小的趋势,且均高于对照组,其中施炭量为40 t·hm^-2处理的土壤含水率增幅最明显,0～10 cm土层各生育期土壤含水率较对照组最大增幅分别为20.8%、13.7%、21.8%,10～20 cm土层各生育期土壤含水率较对照组最大增幅分别为33.9%、17.1%、21.3%;不同处理下土壤温度随着生物炭施用量的增加而升高,两者具有显著的正相关关系,各生育期各处理土壤地表温度较对照组最大增幅分别为58.1%、31.3%、55.8%;不同处理土壤有机碳含量随着生物炭施用量的增加而增大,番茄各生育期各处理土壤有机碳含量较对照组最大增幅分别为80.9%、62.7%、63.9%;不同处理土壤中碱解氮、速效钾、速效磷含量均随生物炭施用量的增加而呈现先增大后减小的趋势,且均大于对照组,各生育期各处理土壤碱解氮较对照组最大增幅分别为92.7%、45.7%、106.5%,速效磷最大增幅分别为120.1%、39.3%、250.4%,速效钾最大增幅分别为86.2%、118.5%、203.4%。综上所述,生物炭对于砂壤土具有保水、保肥、保温的特性,对于提高土壤水肥利用效率,增加土壤有机碳具有重要的作用,而且通过试验验证40 t·hm^-2的施?     

Carbon abatement in the fuel market with biofuels: Implications for second best policies

A carbon tax on fuel would penalize carbon intensive fuels like gasoline and shift fuel consumption to less carbon intensive alternatives like biofuels. Since biofuel production competes for land with agricultural production, a carbon tax could increase land rents and raise food prices. This paper analyzes the welfare effect of a carbon tax on fuel consisting of gasoline and biofuel in the presence of a labor tax, with and without a biofuel subsidy. The market impacts of a carbon tax are also compared with that of a subsidy. Findings show that if a carbon tax increases biofuel demand, the tax interaction effect due to higher fuel prices is exacerbated by higher land rent and food prices and greater erosion of the carbon tax base. Thus, the second best optimal carbon tax for fuel is lower with biofuel in the fuel mix, especially if biofuel is subsidized.     

Phast validation of discharge and atmospheric dispersion for pressurised carbon dioxide releases

The consequence modelling package Phast examines the progress of a potential incident from the initial release to the far-field dispersion including the modelling of rainout and subsequent vaporisation. The original Phast discharge and dispersion models allow the released substance to occur only in the vapour and liquid phases. The latest versions of Phast include extended models which also allow for the occurrence of fluid to solid transition for carbon dioxide (CO₂) releases.As part of two projects funded by BP and Shell (made publicly available via CO2PIPETRANS JIP), experimental work on CO₂ releases was carried out at the Spadeadam site (UK) by GL Noble Denton. These experiments included both high-pressure steady-state and time-varying cold releases (liquid storage) and high-pressure time-varying supercritical hot releases (vapour storage). The CO₂ was stored in a vessel with attached pipework. At the end of the pipework a nozzle was attached, where the nozzle diameter was varied.This paper discusses the validation of Phast against the above experiments. The flow rate was predicted accurately by the Phast discharge models (within 10%; considered within the accuracy at which the BP experimental data were measured), and the concentrations were found to be predicted accurately (well within a factor of two) by the Phast dispersion model (UDM). This validation was carried out with no fitting whatsoever of the Phast extended discharge and dispersion models.     

Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology

Carbon capture and storage (CCS) techniques are considered as one of the promising approaches to reduce carbon dioxide (CO₂) emissions from fossil fuel based power generation, which still accounts for a significant portion of greenhouse gas emissions in the world. CCS technology can be used to mitigate greenhouse gas emissions, with the additional advantage that it allows continuing use reliable and inexpensive fossil fuels. However, CCS retrofit entails major capital costs as well as a reduction of overall thermal efficiency and power output. Thus, it is essential for planning purposes to implement the minimal extent of CCS retrofit while meeting the specified carbon emission limits for the power sector. At the same time, it is necessary to plan for compensatory power generation capacity to offset energy losses resulting from CCS retrofit. In this paper, an algebraic targeting technique is presented for planning of grid-wide CCS retrofits in the power generation sector with compensatory power. The targeting technique is developed based on pinch analysis. In addition, the proposed methodologies are illustrated through case studies based on grid data in India and the Philippines. Sensitivity analysis is carried out to determine the suitable CCS technology and compensatory power source which satisfy emission limits.     

Corrosion behavior of steels for CO2 injection

The process chain for Carbon Capture and Sequestration (CCS) includes tubing for injection of CO₂ into saline aquifers. The compressed CO₂ is likely to contain specific impurities; small concentrations of SO₂ and NO₂ in combination with oxygen and humidity are most harmful. In addition, CO₂ saturated brine is supposed to rise in the well when the injection process is interrupted. The material selection has to ensure that neither CO₂ nor brine or a combination of both will leak out of the inner tubing. In this comprehensive paper the investigated materials range from low-alloy steels and 13% Cr steels up to high-alloy materials. Electrochemical tests as well as long term exposure tests were performed in CO₂, in brine and combination of both; pressure was up to 100 bar, temperature up to 60 °C. Whereas the CO₂ stream itself can be handled using low alloy steels, combinations of CO₂ and brine require more resistant materials to control the strong tendency to pitting corrosion. The corrosion behavior of heat-treated steels depends on factors such as microstructure and carbon content. For different sections of the injection tube, appropriate materials should be used to guarantee safety and consider cost effectiveness.     

Thermodynamic method for the prediction of solid CO2 formation from multicomponent mixtures

The increase in GHG concentration has a direct effect on global climate conditions. Among the possible technologies to mitigate GHG emissions, CCS is being accepted to gain emission reduction. Such technology also involves cryogenic CO₂ capture processes based on CO₂ freeze-out or where the formation of solid CO₂ must be avoided. Captured CO₂ is usually transported in pipelines for the reinjection.The risk associated to the release of CO₂ is due to the changing temperatures and pressures the system may experience, which can lead to the deposition of solid CO₂ where it must be avoided. Prolonged exposure to dry ice can cause severe skin damage and its resublimation could pose a danger of hypercapnia. It is, thus, necessary to build up a tool able to predict the conditions in which CO₂ can freeze-out.A thermodynamic methodology based on cubic EoSs has been developed which is able to predict solid–liquid–vapor equilibrium of CO₂ mixtures with n-alkanes or H₂S which are usually found in equipment for acidic gas, mainly natural gas, treatment.The focus is a detailed analysis of the method performances when more than two components are present since, for such a case, literature does not provide significant modeling results.