Simultaneous removing SO2 and NO by a new system containing cobalt complex

Absorption and catalytic oxidation of nitric oxide can be achieved by using cobalt（Ⅲ） ethylenediamine （Co（en）3^3＋. When simultaneous absorbing SO2 and NO, the precipitation of Co2（SO3）3 will be yielded and the NO removal will be decreased. A new catalyst system using Co（en）3^3＋ coupled with urea has been developed to simultaneous remove NO and SO2 in the flue gas. NO is absorbed and catalytically oxidized to nitrite and nitrate by Co（en）3^3＋. The dissolved oxygen in scrubbing solution from the feed stream acts as oxidant. Urea restrains the precipitation of Co2（SO3）3 by oxidizing SO3^2-to SO4^2- as COSO4 is more soluble in water. The experimental results proved that nearly all SO3^2- can be oxidized to SO4^2- and the high NO and SO2 removal could be obtained with the new system. The NO removal is influenced by gas flow rate, the concentration of Co（en）3^3＋ and urea in the absorption solution, the temperature of the scrubbing solution and the content of oxygen in the flue gas. The low gas flow rate is favorable to increase the NO removal. The experiments proved that the NO removal could be maintained at more than 95% by the system of 0.02 mol/L Co（en）3^3＋ and 1% urea at 50℃ with 10% O2 in the flue gas.     

Spatiotemporal Features of Severe Air Pollution in Northern Taiwan (8 pp)

Background, Aims and Scope This research attempted to identify the dominant factors simultaneously affecting the airborne concentrations of five air pollutants with principal component analysis and to determine the meteorologically related parameters that cause severe air-pollution events. According to the definition of subPSI and PSI values through the U.S. EPA, the historical raw data of five criteria air pollutants, SO2, CO, O3, PM10 and NO2, were calculated as daily subPSI values. In addition to the airborne concentrations, this study simultaneous collected the surface meteorological parameters of the Taipei meteorological station, established by the Central Weather Bureau. Methods Principal component analysis was conducted to screen severe air pollution scenarios for five air pollutants: SO2, CO, O3, PM10 and NO2. The concentrations of various air pollutants measured at 17 air-quality stations in northern Taiwan from 1995 to 2001 were transformed into daily subPSI values. The correlation analysis of the five air pollutants and four meteorological parameters (wind speed, temperature, mixing height and ventilation rate) were included in this research. After screening severe air pollution scenarios, this study recognized the synoptic patterns easily causing the severe air-pollution events. Results and Discussion Analytical results showed that the eigenvalues of the first two principal components for SO2, CO, O3, PM10 and NO2 were greater than 1. The first component of five air pollutants explained 64, 64, 67, 76 and 63% of subPSI variance for SO2, CO, O3, PM10 and NO2, respectively. Only the correlation coefficient of NO2 and CO had statistically significant positive values (0.82); other pollutant pairs presented medium (0.4 to 0.7) or low (0 to 0.4) positive values. The correlation coefficients for air pollutants and three meteorological parameters (wind speed, mixing height and ventilation index) were medium or low negative values. In northern Taiwan, spring was most likely induced high concentrations and the component scores of the first component for SO2, CO, PM10 and NO2; summer was the worst season that caused high O3 episodes. Consequently, the analytical results of factor loadings for the first principal component and emission inventory of various sources revealed that mobile sources were dominant factors affecting ambient air quality in northern Taiwan. Conclusion According to the results of principal component analysis for the five air pollutants, the first two of 17 components were cited as major factors and explained 71% of subPSI variance. Based on the inventory of NOx emissions and the isopleth diagram of factor loading for the first component, mobile sources in the southwest Taipei City accounted for the highest factor loading values and emission inventory values. Synoptic analysis and principal component analysis demonstrated that three types of weather patterns (high-pressure recirculation, prefrontal warm sector and the southwesterly wind system) easily caused the severe air-pollution scenarios. In summary, if severe air-pollution days occurred, the average meteorological parameters experienced adverse conditions for diffusing air pollutants; that is, the average values of wind speed, mixing height and ventilation index were lower than 2.1 ms-1, 360 m and 800 m2s-1, respectively. If one of the three synoptic patterns were to occur in combination with adverse meteorological conditions, severe air-pollution events would be developed. Recommendation and Outlook By utilizing synoptic patterns, this work found three weather systems easily caused severe air-pollution events over northern Taiwan. Analytical results showed, respectively, the wind speed and mixing height were less than 2.1 m/s and 360 m during severe air-pollution events.     

硝酸还原酶介导的NO合成参与SO2引发的拟南芥气孔运动的调节

以拟南芥为材料,研究了硝酸还原酶(NR)途径在植物适应SO2胁迫中的作用.结果表明:SO2胁迫可诱导4周龄拟南芥植株叶片NR活性增强、一氧化氮(NO)水平提高,NR活性和NO水平与SO2暴露时间呈正相关.NR抑制剂叠氮化钠(NaN3)可缓解SO2诱发的NO水平升高.RT-PCR检测发现,SO2熏气72 h时拟南芥NR途径关键基因Nia1、Nia2和NiR1均转录上调.研究还发现,SO2可诱发拟南芥野生型、突变体nia2、nia1nia2的气孔关闭,NaN3和NO清除剂c-PTIO可阻止SO2诱发的野生型和nia2气孔关闭,说明通过NR途径合成的NO参与了SO2胁迫诱发的拟南芥气孔运动调节.研究结果表明,NR活性的增强介导了SO2胁迫期间拟南芥叶片NO水平的升高,后者参与胁迫期间拟南芥气孔运动的调控,以增强拟南芥植株对SO2胁迫的适应性.     

催化氧化NO催化剂Mn/ZrO2的制备与性能研究

以二氧化锆为载体负载锰氧化物,制备了MnO x/ZrO2催化剂用于催化氧化法(SCO)脱除烟气NO,考察了制备条件和反应条件对催化剂SCO活性的影响.同时,采用N2吸附、SEM、XRD及XPS等手段对催化剂理化性质进行了表征.结果表明,采用等体积浸渍法,以硝酸锰作为前驱体制备的Mn8/ZrO2/450催化剂在300℃、空速15000 h-1条件下,NO转化率可达84%,表现出较好的NO氧化活性.催化剂的主要活性组分为MnO2,在催化剂载体表面上呈现出较好的分散度.对催化剂进行了NO等温吸附与程序升温脱附,结合程序升温表面反应(TPSR)实验,探讨了催化剂表面NO催化氧化机理.研究发现,NO在该催化剂表面主要以吸附态反应,在含氧气氛中吸附态NO的氧化速率高于脱附速率,表面NO2的脱附峰温与最佳SCO活性温度相吻合.上述结果表明,NO转化过程速率受氧化产物NO2的脱附步骤控制,表面反应为快速步骤.     

中国水泥工业节能减排效果分析及对策研究

根据水泥工业大气污染物排放的数学模型;测算2005年-2011年中国水泥工业二氧化碳(CO2)、氮氧化物(NO2)、二氧化硫(SO2)、颗粒物(PM)和氟化物(F)等污染物排放量,分析节能减排的效果并提出解决问题的对策。结果表明:水泥工业CO2排放量逐年增长,并且与水泥产量和单位产品综合能耗呈线性关系;原料煅烧和能源利用过程CO2排放量分别占56%和44%;单位水泥产品CO2排放强度由0.68 t·t-1下降到0.58 t·t-1,相当于每年节约标准煤682×104t、减少CO2排放共计1.03×108t。NO2排放量分别是SO2、PM、F的4、7、160倍。发展新型干法技术、建设烟气脱硝装置、协同处置固体废物是水泥工业未来节能减排的发展方向。     

KMnO_4氧化复合NaOH液相吸收同时脱硫脱硝的实验研究

利用鼓泡吸收装置研究了KMnO_4/NaOH氧化吸收NO和SO_2过程,得出以下结论:同时脱硫脱硝时的脱硝效果要好于单独脱硝,但脱硫效果相差相当;KMnO_4和NaOH初始浓度的增加都能促进NO_x的脱除,但KMnO_4的促进作用更加明显;较低浓度SO_2的加入可促进NO_x脱除,然而过高浓度的SO_2会抑制NO_x的脱除。KMnO_4/NaOH同时脱硫脱硝可使脱硝率达70%左右,且脱硫率达98%以上,总体上效果理想。     

低温等离子体分解脱除NO影响因素研究

为优化低温等离子体反应器设计、提高NO分解率,在低放电电压下通过改变介质阻挡放电参数(放电电压、介质材料、放电间隙等)考察其对分解NO的影响.研究结果表明:在低电压范围条件下(≤6.5 kV),放电电压对提高NO分解率的效果是非线性的,其影响随电压的升高而减弱;选择介电常数较大的介质材料更易获得较高的分解率;当反应器其它特征参数确定后,放电间隙并非越小越好,而是存在一个最佳值;实际应用中,应选用二次电子发射系数较大的电极材料;NTP反应器中加入填充材料不仅具有吸附和存储性能,还具有介质阻挡放电的功能,选择适合的填充材料能更大程度地提高能量利用率,提高NO分解率.     

农田土壤氮素渗漏淋失研究进展

对农田土壤氮素淋失的相关研究进行综述和总结是研究农业面源氮素污染的一个至关重要的前提。本文从土壤氮素渗漏淋失形态和迁移机理、氮素渗漏淋失的研究方法和影响土壤氮素渗漏淋失的因素三方面进行了详细的分析介绍,概述了近年来国内外农田氮素渗漏淋失的研究进展和研究成果,并在此基础上展望了未来氮素淋失研究工作的重点。研究结论对农田土壤的水肥管理措施及浅层地下水硝氮污染的减缓有一定的理论和借鉴意义     

长三角地区大气NO2和CO2浓度的时空变化及驱动因子分析

以长三角城市群为研究对象,利用卫星遥感观测数据协同分析长三角地区大气NO₂和CO₂浓度的时空变化特征和驱动因子,揭示了长三角地区污染物和CO₂高浓度地区空间格局.结果表明长三角城市群地区大气NO₂和CO₂浓度的时空分布及变化特征呈现了受化石燃料燃烧和机动车排放等人为活动以及区域地形、地表覆盖、气候等自然条件的综合影响结果.大气NO₂和CO₂高浓度值围绕太湖明显呈口对西南向的U字形分布,一致于围绕太湖分布的杭州、上海、苏州、无锡、常州和南京等大型城市区域,以及安徽铜陵地区的工业排放区.大气NO₂浓度值呈现秋冬时期较高,夏季最低的季节分布特征.大气CO₂浓度受植被CO₂吸收和CO₂的积累影响,8~9月最低,4~5月最高.此外,随着人为排放活动的急剧减少,2020年1~3月的大气NO₂浓度比2019年同时期降低了50%以上,其中分布了以钢铁厂、燃煤厂为主的大型工业热源的城市NO₂浓度下降最多,如镇江、南京、马鞍山.     

广州市大气NO2污染对暴露人群不同疾病死亡的影响

通过收集广州市2011~2015年6种疾病（非意外因素、心血管疾病、脑卒中、缺血性心脏病、呼吸系统疾病以及慢性阻塞性肺疾病）逐日死亡人数、逐日NO₂浓度以及同期气象资料,采用广义相加模型探讨了NO₂暴露对不同疾病死亡的影响（相对危险度,RR值）和累积滞后效应,并进一步采用分层分析方法解析了冷季（11月至次年4月）和暖季（5~10月） NO₂死亡风险的差异.结果表明,NO₂影响急促短暂,通常持续4d.当NO₂浓度升高10μg/m³,在Lag0-4d时,人群非意外死亡人数将上升2.18%（RR=1.0218;95% CI：1.0167,1.0270）,在冷季与暖季分别上升2.6%（RR=1.0260;95% CI：1.0191,1.0328）与0.57%（RR=1.0057;95% CI：0.9952,1.0163）,两者差异有统计学意义（P=0.002）.在不同疾病中,NO₂对慢性阻塞性肺疾病的影响最大.因而NO₂仍然为广州地区人群健康重要的危险因素,需要加强NO₂排放的控制与治理,并且加强冷季健康风险预警以保护公共健康.