工业部门污染物治理协同控制温室气体效应评价——基于重庆市的实证分析

以高能耗为主要特征的工业部门是大气污染物和温室气体的重要排放源。为推动协同管控,文中结合生态环境部在重庆市组织开展的试点工作,对工业企业NOx污染治理协同控制温室气体的效应进行了量化分析。结果表明,以末端治理为手段的NOx治理措施协同控制温室气体的效果为负,即工业企业去除1 t NOx会直接或间接增加CO₂排放1.811 t,采用SNCR技术且选择氨水等非尿素类脱硝剂有助于减少工艺过程和电力间接CO₂排放。2017年工业企业NOx减排导致CO₂排放增加52.57万t,占重庆市能源活动CO₂排放总量的0.3%。电力碳排放因子降低1%和降低5%情景下,NOx减排的总协同度将分别提高0.9%和4.3%,尤以水泥制造业的协同效果改善最明显。减少尿素使用和提高电力低碳化程度有助于降低工业领域NOx减排对CO₂排放的负协同效果。     

对流层氮氧化物光化学转化特征研究

应用大气光化学模式研究了日间影响NOx光化学转化率的主要物理化学因子.探讨了在不同NMHC/NOx比值时,NOx光化学特征及其转化产物的变化规律.结果表明,影响NOx转化率的主要因子是阳光辐射强度和NMHC/NOx比值.但在NMHC/NOx比值很低时,光强的增加并不能显著提高NOx转化率.温度和初始臭氧浓度对NOx转化率的影响次之.相对湿度对NOx转化率的影响较小.在不同NMHC/NOx比值下,NOx转化特征和产物有很大区别.NMHC/NOx比值高时,产物中PAN＞HNO3.NMHC/NOx比值中(低)时,产物主要是HNO3,PAN等有机氮不到10%(1%).最后初步比较了模拟和观测的NOy组成.     

NO<Subscript><Emphasis Type="Italic">x</Emphasis></Subscript> change over China and its influences

A 3-D chemical transport model (OSLO CTM2) is used to investigate the impact of the increase of NOx emission over China. The model is capable to reproduce basically the seasonal variation of surface NOx and ozone over eastern China. NOx emission data and observations reveal that NOx over eastern China increases quite quickly with the economic development of China. Model results indicate that NOx concentration over eastern China increasingly rises with the increase of NOx emission over China, and accelerates to increase in winter. When the NOx emission increases from 1995 to its double, the ratio of NO2/NOx abruptly drops in winter over northern China. Ozone at the surface decreases in winter with the continual enhancement of the NOx level over eastern China, but increases over southern China in summertime. It is noticeable that peak ozone over northern China increases in summer although mean ozone changes little. In summer, ozone increases in the free troposphere dominantly below 500 hPa.Moreover, the increases of total ozone over eastern China are proportional to the increases of NOx emission.In a word, the model results suggest that the relationship between NOx and ozone at the surface would change with NOx increase.     

中国区域闪电特征分析及闪电产生NOx量的估算

利用中国2008-2010年的闪电定位数据,分析了闪电次数的空间分布和时间变化,结合Price理论,估算了闪电产生的氮氧化物（LNOx）量,初步分析了LNOx的时空分布特征。结果表明：闪电的高发期为7、8月,广州、武汉为闪电高发区;LNOx主要分布在（105～125°E,25～40°N）地区,其中武汉、广州、成都、重庆、长沙、南京和南昌地区量值较大;7月和8月LNOx的产量明显高于其他几个月,8月产量最高;此外,LNOx的分布具有明显的季节特征,春夏秋冬四季产量分别占总产量的4．8％、89．4％、5．3％以及0．5％,春季的LNOx主要出现在广州地区,夏季LNOx高值区分布北移,分布范围较广;秋季分布范围减小,最大值出现在广州地区,冬季产量明显变小,最大值出现在武汉的西南方向。     

全边界层选用相似理论对O3、NOx浓度及沉降的影响

将广泛应用于东亚地区的LLA(Lurmann Lloyd Atkinson)化学机制耦合到欧拉型区域空气质量模式(RAQM),并考虑区域污染物长期模拟研究中降水随时间变化的非均匀性,讨论了湍流参数化过程中相似理论在近地层和全边界层的应用对湍流垂直扩散系数(Kz)与干沉降速度(V),O3与NOx浓度的影响。结果表明,全边界层应用相似理论明显低估了Kz值,近地层50m处Kz值被低估20%以上,750m处其值被低估约70%;O3、NOx的干沉降速度在日本东部与南部海域被低估了10%以上,在朝鲜半岛东部和西部海域模拟值普遍偏高。Kz和干沉降速度的不同直接影响污染物的浓度和沉降量分布。Kz值的被低估对NOx浓度有明显影响,在近地层50m处NOx浓度最大可增加约30%,整个边界层中NOx平均浓度除台湾省东北海域外普遍增加5%~20%。O3浓度则受干沉降作用的影响较大。虽然近地层、全边界层分别应用相似理论都较好地模拟了O3与NOx峰值浓度出现的时间,但相似理论应用于全边界层会引起较大的误差。即使是大区域、长期空气质量模拟研究,也建议相似理论仅应用于近地层,且模式第一层高度应设置在常通量层内。     

Impacts of Future NOx and CO Emissions on Regional Chemistry and Climate over Eastern China

A coupled chemical/dynamical model (SOCOL-SOlar Climate Ozone Links) is applied to study the impacts of future enhanced CO and NOx emissions over eastern China on regional chemistry and climate. The result shows that the increase of CO and NOx emissions has significant effects on regional chemistry, including NOx, CO, O₃, and OH concentrations. During winter, the CO concentration is uniformly increased in the northern hemisphere by about 10 ppbv. During summer, the increase of CO has a regional distribution. The change in O₃, concentrations near eastern China has both strong seasonal and spatial variations. During winter, the surface O₃, concentrations decrease by about 2 ppbv, while during summer they increase by about 2 ppbv in eastern China. The changes of CO, NOx, and O₃, induce important impacts on OH concentrations. The changes in chemistry, especially O₃, induce important effects on regional climate. The analysis suggests that during winter, the surface temperature decreases and air pressure increases in central-eastern China. The changes of temperature and pressure produce decreases in vertical velocity. We should mention that the model resolution is coarse, and the calculated concentrations are generally underestimated when they are compared to measured results. However, because this model is a coupled dynamical/chemical model, it can provide some useful insights regarding the climate impacts due to changes in air pollutant emissions.     

地面臭氧的变化规律和计算方法的初步研究Ⅱ.可见光波段

通过对广州鼎湖山近地面O3、NOx、太阳辐射,气象参数等项目的观测和理论分析,研究了地面O3与NOx等微量气体及太阳可见光辐射的变化规律,详细讨论了可见光波段、不同天气条件地面O3与NOx、光化学反应、气溶胶、可见光辐射等之间复杂的关系.提出以光能量传输与守恒的观点来考虑大气中与可见光辐射有关的主要过程,并以此来研究大气光化学过程中所遵循的能量规律,建立了一个简单、实用、省时的统计模式,用于计算地面O3浓度.结果表明:不同情况下,计算值与观测值吻合得均比较一致.     

我国农村生活能源中SO2、 NOX及TSP的排放量估算

根据2004年我国不同省、市、自治区农村生活用能源的消耗量和不同燃料的污染物排放因子,估算了我国农村生活能源利用过程中的SO₂、NO_X、TSP排放量,并给出了分省区的排放清单和各省区不同燃料对三种污染物的贡献率,探讨了各地农村污染物排放量的影响因素。结果表明:全国农村生活能源所排放的SO₂达530万吨,NO_X 72万吨,TSP 390万吨。污染物排放以SO₂和TSP为主,且各省、市、区污染物的排放量差别明显;各地不同能源类型对各污染物的贡献率差别较大,SO₂主要来自燃煤,NO_X主要来自秸秆和薪柴的燃烧,TSP主要来自秸秆的燃烧;农村生活能源结构影响其污染物排放。     

Controlling NOx Emission of Crude Rice Bran Oil Blend for Sustainable Environment

The main objective of this work is to investigate the factors influencing the NOx control of a stationary diesel engine fuelled with crude rice bran oil blend with lesser effect on smoke density and brake thermal efficiency (BTE). Fuel injection timing, percentage of EGR, and fuel injection pressure are chosen as the factors for the objective and NOx emission, smoke density, and BTE are considered as the response variables. To critically analyze the effects of the chosen factors on the objective three levels were chosen in each factor and the experiments were designed by following the design of experiments method. Taguchi's L₉ orthogonal array was used to conduct the tests with different combination of factor levels. Through analysis of variance (ANOVA) method, the most influencing factors and also the significance of each factor affecting each response variable were found out. Response graph was drawn for each response variable to determine the optimum combination of factor levels in achieving the objective and the obtained combination was confirmed experimentally.