Effects of SO2 and H2O on low-temperature NO conversion over F-V2O5-WO3/TiO2 catalysts

F-V_2 O_5-WO3/Ti02 catalysts were prepared by the impregnation method.As the content of F ions increased from 0.00 to 0.35 wt.%,the NO conversion of F-V_2 O_5-WO_3/TiO_2 catalysts initially increased and then decreased.The 0.2 F-V_2 O_5-WO_3/TiO_2 catalyst(0.2 wt.% F ion)exhibited the best denitration(De-NOx) performance,with more than 95% NO conversion in the temperature range 160-360℃,and 99.0% N2 selectivity between 110 and 280℃.The addition of an appropriate amount of F ions eroded the surface morphology of the catalyst and reduced its grain size,thus enhancing the NO conversion at low temperature as well as the sulfur and water resistance of the V_2 O_5-WO3/Ti02 catalyst.After selective catalytic reduction(SCR) reaction in a gas flow containing SO_2 and H_2 O,the number of NH3 adsorption sites,active component content,specific surface area and pore volume decreased to different degrees.Ammonium sulfate species deposited on the catalyst surface,which blocked part of the active sites and reduced the NO conversion performance of the catalyst.On-line thermal regeneration could not completely recover the catalyst activity,although it prolonged the cumulative life of the catalyst.In addition,a mechanism for the effects of S02 and H_2 O on catalyst NO conversion was proposed.     

Density functional theory (DFT) studies of vanadium-titanium based selective catalytic reduction (SCR) catalysts

Based on density functional theory (DFT) and basic structure models, the chemical reactions on the surface of vanadium-titanium based selective catalytic reduction (SCR) denitrification catalysts were summarized. Reasonable structural models (non-periodic and periodic structural models) are the basis of density functional calculations. A periodic structure model was more appropriate to represent the catalyst surface, and its theoretical calculation results were more comparable with the experimental results than a non-periodic model. It is generally believed that the SCR mechanism where NH₃ and NO react to produce N₂ and H₂O follows an Eley-Rideal type mechanism. NH₂NO was found to be an important intermediate in the SCR reaction, with multiple production routes. Simultaneously, the effects of H₂O, SO₂ and metal on SCR catalysts were also summarized.     

Coupling mechanism of activated carbon mixed with dust for flue gas desulfurization and denitrification

To clarify the effect of coking dust, sintering dust and fly ash on the activity of activated carbon for various industrial flue gas desulfurization and denitrification, the coupling mechanism of the mixed activated carbon and dust was investigated to provide theoretical reference for the stable operation. The results show that coking dust had 34% desulfurization efficiency and 10% denitrification efficiency; correspondingly, sintering dust and fly ash had no obvious desulfurization and denitrification activities. For the mixture of activated carbon and dust, the coking dust reduced the desulfurization and denitrification efficiencies by blocking the pores of activated carbon, and its inhibiting effect on activated carbon was larger than its own desulfurization and denitrification activity. The sintering dust also reduced the desulfurization efficiency on the activated carbon while enhancing the denitrification efficiency. Fly ash blocked the pores of activated carbon and reduced its reaction activity. The reaction activity of coking dust mainly came from the surface functional groups, similar to that of activated carbon. The reaction activity of sintering dust mainly came from the oxidative property of Fe₂O₃, which oxidized NO to NO₂ and promoted the fast selectively catalytic reduction (SCR) of NO to form N₂. Sintering dust was activated by the joint action of activated carbon, and both had a coupling function. Sintering dust enhanced the adsorption and oxidation of NO, and activated carbon further promoted the reduction of NO_x by NH₃; thus, the denitrification efficiency increased by 5%-7% on the activated carbon.     

武当山夏季颗粒物数浓度谱分布特征及气团来源影响研究

为研究大气边界层中上层大气颗粒物的数浓度谱分布特征及气团来源的影响,于2018年6月利用3080型SMPS粒径谱仪对武当山14.6~660 nm颗粒物数浓度谱进行观测,分析和探讨了其数浓度谱分布及日变化特征,并结合后向轨迹、潜在源贡献因子法（PSCF）与浓度权重轨迹分析法（CWT）探讨对武当山颗粒物数浓度影响较大的外源输送路径和贡献源区.结果表明:①武当山大气颗粒物主要以爱根模态为主,平均数浓度为2 500个/cm3,积聚模态、核膜态平均数浓度分别为2 265、359个/cm3,3种模态数浓度分别占总数浓度的48.79%、44.21%、7.01%.②在新粒子生成日,核膜态数浓度于10:00开始上升,11:00—17:00的核膜态数浓度相对较高,约2 000个/cm3.新粒子生成日ρ（SO₂）与ρ（O₃）的日变化趋势均与核模态数浓度较为相似,表明SO₂和O₃参与光化学反应后的产物（硫酸及有机物）有利于新粒子的生成与增长.新粒子生成日风速、温度均大于非新粒子生成日,但相对湿度较低.③在东部及局地气团影响下大气颗粒物主要以积聚模态为主,数浓度分别为2 311和2 596个/cm3;核模态、爱根模态数浓度在受西北气团影响时最大,数浓度分别为806和3 078个/cm3.④潜在源区分析表明,影响武当山积聚模态数浓度的主要源区为十堰市本地及襄阳市,二者贡献值在840个/cm3以上.研究显示,武当山颗粒物主要以爱根模态为主,颗粒物数浓度日变化主要受大气边界层发展及山谷风的影响,较高的ρ（SO₂）与ρ（O₃）以及高温、低湿及较大的风速均有利于新粒子的生成,周边城市的区域性传输对武当山颗粒物的影响较大.      

四环素胁迫对Shigella flexneri细菌四环素抗性基因抗性表达的影响过程

四环素(TC)抗生素在不同环境介质中已被广泛检出,为研究其对四环素抗性基因(TC-ARGs)丰度变化及表达水平的影响过程,以从活性污泥中筛选和纯化分离获得的弗氏志贺氏菌(Shigella flexneri)为研究对象,考察了不同浓度TC对其生长过程的作用影响,采用荧光定量PCR和逆转录PCR方法定量检测了不同抗性机制TC-ARGs,包括tetC、tetO和tetX基因的丰度变化及表达水平,并探讨了TC浓度与TC-ARGs丰度及其表达水平之间的相关关系.结果表明,在培养周期内(24 h),TC胁迫对Shigella flexneri细菌的生长具有抑制作用,细菌细胞浓度增长速率随TC暴露浓度的升高而降低,但对TC-ARGs丰度变化影响较小.TC胁迫能够促进Shigella flexneri细菌TC-ARGs的转录表达,tetC、tetO和tetX基因表达水平在整个培养周期内均先升高后降低.由相关性分析可知,TC浓度与TC-ARGs丰度及其表达水平之间相关关系不显著,但tetC和tetO基因丰度与其转录表达水平之间存在显著的正相关关系,表明其基因丰度一定程度上可用来衡量和评价其抗性表达水平.     

含菌气溶胶扩散对人群的潜在影响风险

为分析生物气溶胶释放对人群潜在影响风险的情况,利用CALPUFF模型定量模拟了2019年7月24~8月20日中牧兰州生物药厂含菌气溶胶扩散、浓度空间分布、对人群潜在健康风险,并结合公开报道的检测数据开展验证.结果显示：生物药厂的含菌气溶胶排放源附近高值区主要集中于厂区四周,影响范围主要以厂区为中心,并向四周逐渐扩散;检测结果中兰州兽研所1#,兰州大学2#地区健康风险比例41.49：1,在模拟的相对风险大小的误差区间（36.15±8.48）范围内,说明本研究含菌气溶胶对人群潜在影响风险的模拟结果可信.     

洪泽湖不同入湖河流沉积物磷形态特征及生物有效性

为揭示洪泽湖入湖河流沉积物磷形态空间差异性及影响因素,分析了洪泽湖自西北向西南7条入湖河流65个表层沉积物中不同磷（P）形态,并探讨了磷形态空间赋存特征的影响因素及环境意义.研究表明：沉积物总磷（TP）含量为488.90mg/kg~960.22mg/kg,无机磷（Pi）为主要形态,相对含量为65.81%~76.16%.西部入湖流域沉积物有机磷（Po）以非活性有机磷（NLOP）为主,汴河最高,相对含量约占Po的50.41%,生物有效态无机磷（BAP）相对含量最高,占Pi的66.84%,污染程度最高;西南和西北入湖流域Po则以中活性有机磷（MLOP）为主,Pi以钙结合态无机磷（HCl-Pi）为主.西北入湖流域由于受当地地质背景的影响,HCl-Pi所占Pi相对含量最高（43.02%）,从而减缓了磷的移动能力,污染程度最低.随着沉积物污染程度的增加,生物有效态Po含量增加,但所占Po相对含量降低;HCl-Pi含量增加,所占Pi相对含量降低,这一现象和我国其它典型地区沉积物磷形态空间分布类似.西部和西南入湖流域主要受水土流失、有机面源污染及藻类生长的影响,有机质环境较高,水交换能力弱,可被有机质降解的Po组分高于可被矿化的Po组分,大部分难降解Po组分易沉积,导致西部和西南入湖流域较高的BAP和NLOP含量,富营养化程度较高.沉积物OM是各形态磷之间相互转化的关键因素,和沉积物内源磷地球生物化学循环密切相关.洪泽湖入湖流域沉积物磷形态空间差异性主要由农业面源污染物的输入而导致内源磷负荷加剧.洪泽湖西部和西南入湖流域应重点控制农田水土流失及养殖业面源污染,建设滨岸修复带,遵循少量多次增施有机肥原则,减少农用地水土流失.健全农村养殖业废水废渣处理;划定科学养殖区;提倡铜围网箱,增加水体交换率.而对于洪泽湖西北入湖流域则应重点防止过度城镇化带来的水土流失及对生态功能保护区过高的污染负荷.     

融合Lamb-Jenkinson分型法和LSTM神经网络的PM2.5预测研究

文章采用NCEP/NCAR逐日海平面气压场资料,利用Lamb-Jenkinson环流分型法对张家口大气环流进行分型,分析环流型与PM_(2.5)质量浓度之间的关系,并针对PM_(2.5)浓度的预测,提出一种融合Lamb-Jenkinson环流分型和LSTM神经网络混合模型的方法,即以环流指数为预测因子基于LSTM方法搭建PM_(2.5)质量浓度的预测模型。结果表明:影响张家口地区的主要环流型有反气旋型、气旋型、偏北平直型、西南平直型、偏西平直型、东北平直型等、西北平直型、偏东平直型。PM_(2.5)污染日出现的主要环流型为南气旋平直型、东南平直型、偏南平直型、偏东气旋型、西南气旋平直型、偏东平直型、气旋型等,而反气旋型和反气旋式平直环流型不利于污染出现。张家口地区的PM_(2.5)污染与地面环流有着密切的联系,当存在PM_(2.5)污染时,张家口地区处于日本海高压后部的均压场区域,污染越严重,日本海高压中心强度越强。模型预测结果的均方根误差为9.88、平均绝对误差为5.84、拟合优度达0.80,表明该模型具有一定的预报能力。     

Cr(Ⅵ)踪迹指标现场测定用于铬污染地下水源解析

根据研究区地下水样品测试结果,该文选定与Cr(Ⅵ)极强相关,且物理化学性质较稳定的钠离子作为研究地下水中Cr(Ⅵ)迁移规律的踪迹指标,并采用钠离子复合电极建立了踪迹指标现场检测方法。实验结果表明,钠离子浓度在5～500 mg/L线性范围内的电极响应斜率为-61.09 mV/pNa(103%),方法检出限为0.69 mg/L,加标回收率为92.8%～103.4%,现场测试结果与实验室测试结果一致。该研究根据踪迹指标钠离子与污染物现场检测数据,构建了钠离子与Cr(Ⅵ)浓度比值的对数函数,并有效识别出主污染源、次级污染源、污染物迁移主路径、潜在污染区、潜在影响区及背景区,为铬渣类污染场地土壤和地下水环境风险评价及污染修复提供了技术支撑和参考依据。