N. europaea/Nc. mobilis谱系在垃圾渗滤液处理中的脱氨贡献

为了解垃圾渗滤液处理系统中菌群结构与脱氨效果的关系,采用16S rRNA基因高通量测序技术分析了15个实际垃圾渗滤液处理系统中的自养氨氧化细菌（AOB）的群落结构,监测了其中1个处理系统中的AOB群落结构的周年变化,并采集实际垃圾渗滤液开展了为期45d的模拟试验.结果表明,Nitrosomonas属是垃圾渗滤液处理系统中的优势自养氨氧化细菌,其相对丰度与脱氨活性呈显著正相关（P<0.05）.在此菌属中,N.europaea、N.eutropha和N.halophila的相对丰度与脱氨活性显著正相关（P<0.05）,这3种菌在系统发育上同属于N.europaea/Nitrosococcus mobilis谱系,说明该谱系是实际垃圾渗沥液处理系统中的优势AOB类群,并对垃圾渗滤液脱氨有重要贡献.     

二硫代羧基化羟甲基聚丙烯酰胺与Cu2+的螯合稳定性

以聚丙烯酰胺、甲醛、氢氧化钠、二硫化碳为原料制备了重金属螯合絮凝剂二硫代羧基化羟甲基聚丙烯酰胺（DTMPAM）,采用紫外分光光度法测定了DTMPAM与Cu²⁺形成的螯合物在不同Cu²⁺浓度、二硫代羧基（—CSS^-）浓度、不同pH值下的紫外吸收光谱,确定了螯合物的配位比,考察了螯合物DTMPAM-Cu在不同pH值、不同—CSS^-浓度下的稳定性,并计算了其稳定常数.结果表明,DTMPAM在207和226nm处出现最大吸收峰,而螯合物DTMPAM-Cu分别在220和260nm处出现最大吸收峰,最大吸收峰发生红移.在不同的—CSS^-（3.0×10^-5~6.0×10^-5mol/L）浓度和pH值（3.0~9.0）下,DTMPAM中的—CSS^-与Cu²⁺的螯合比均为2：1;当—CSS^-浓度为3.0×10^-5~6.0×10^-5mol/L时,DTMPAM-Cu的螯合稳定常数对数值lgβ₂在10.5725~11.4473之间,随着—CSS^-浓度增大,螯合稳定常数略有减小.不同pH值下,DTMPAM-Cu的螯合稳定常数各不相同,当体系pH值为3.0~5.0时,随着pH值的升高,DTMPAM-Cu的稳定常数逐渐升高,当pH值为6.0~9.0时,DTMPAM-Cu的稳定常数整体上略有所降低.     

活性污泥中好氧反硝化菌的富集筛选及鉴别

采用SBR反应器,以硝基氮为底物,通过间歇曝气方式,DO保持5mg/L以上,对活性污泥进行强化驯化,实现好氧反硝化细菌的富集培养。利用琥珀酸钠作为碳源,溴百里酚蓝(BTB)作为pH指示剂,共筛选得到20株BTB琼脂平板阳性菌。通过反硝化性能测定,复筛得到4株好氧反硝化细菌。实验结果表明,琥珀酸盐为碳源、硝酸盐为惟一氮源、C/N<10的条件下,4株菌在4d内的TIN去除率均达到60%以上。通过16SrRNA序列同源性比较成功鉴定出3株菌,初步判断2株属于Pseudomonas菌属、1株属于Delftia菌属。     

含有机氟工业废水处理工艺的研究

采用预处理-水解酸化-生物接触氧化相结合的处理工艺处理含氟代有机化合物废水。研究结果表明，水解酸化可将含氟废水的B／C比由0．258提高到0．396％；在一定浓度范围内通过物化预处理及生化处理可以脱除氟代有机化合物中的氟原子，使该有机物成为可供微生物利用的基质。含氟废水经该工艺处理后，出水中BOD5为7．5mg/L,CODcr为75mg/L，氨氮未检出，总磷小于1mg/L，氟离子浓度为8．6mg/L。     

高浓度硫酸盐废水治理技术的研究

阐述高浓度硫酸盐废水的分类和硫酸盐还原菌的分类及还原机理，后着重阐述了SRB与非SRB的竞争关系及其影响因素，最后说明了有关治理技术的进展。     

石油降解菌XD-1产表面活性剂的性能

从含油废水中筛选分离到1株原油降解菌XD-1,鉴定为假单胞菌（Pseuomonas sp.）.初步实验表明菌XD-1具有较强的产表面活性剂乳化原油的作用,对该菌的产表面活性剂性能进行了研究.实验证明,菌XD-1所产表面活性剂为脂肽类物质,菌在生长对数期产表面活性剂,表面活性剂的产生为生长相关型;充足的碳源是产表面活性剂的必需条件,菌利用原油为碳源时能持续大量地产表面活性剂;原油和尿素为产表面活性剂的最适碳源和氮源,菌XD-1产表面活性剂的最佳营养培养基组成为葡萄糖10 g,尿素4 g,磷酸二氢钾1 g,微量元素液4 mL,水1 L,pH 8.0.     

环境监测分析中不确定度的估算

阐述了环境监测分析中不确定度的基本概念和测定不确定度的评估过程，介绍了A类不确定度估算中的贝塞尔法、组合实验标准法、极差法、最小二乘法以及B类不确定度的一般信息来源及估算，并结合环境监测分析的具体情况，举例分析操作过程中不确定度各分量的估算，建立了测量结果的溯源性，对实验室提供数据的质量保证具有十分重要的意义．     

Quantity and activity of ammonia-oxidizing archaea and bacteria and their contribution to ammonia oxidation in farmland soil of Qinghai-Tibet Plateau北大核心CSCD

Ammonia oxidation, the first and rate-limiting step of nitrification, is mainly performed by ammonia-oxidizing archaea (AOA) and ammonia-oxidizing bacteria (AOB). However, the activities of AOA and AOB in soil and their relative contribution to ammonia oxidation are unclear, and whether there is a significant correlation between the quantity of AOA and AOB and the ammonia oxidation rate is also controversial. In this study, quantitative PCR combined with acetylene (C2H2) and 1-octyne inhibition methods were used to determine the quantity and activity of AOA and AOB in wheat, highland barley, and oilseed rape soils in Nyingchi, Lhatse, Sangzhuzi, and Sangri counties on the Qinghai-Tibet Plateau. The results showed that the quantity of AOB ((2.34 ± 0.84) ×105 - (2.65 ± 1.07) ×106 copies g-1 dry soil) was significantly higher than that of AOA ((0.20 ± 0.10) ×104 - (4.02 ± 0.39) ×104 copies g-1 dry soil) in all the soil samples. Soil pH was the key factor affecting the quantity of AOB, and the total phosphorus and ammonium nitrogen in soil were the key factors affecting the quantity of AOA. The rates of ammonia oxidation in the farmland soils of Lhatse (2.42 ± 0.73 mg kg-1 d-1) and Sangzhuzi (3.24 ± 1.15 mg kg-1 d-1) were significantly higher than those in the soils of Nyingchi (1.17 ± 0.43 mg kg-1 d-1) and Sangri counties (0.88 ± 0.57 mg kg-1 d-1). The rates of ammonia oxidation in the farmland soils of Lhatse and Sangzhuzi were dominated by AOB, while those in the farmland soils of Nyingchi and Sangri counties were dominated by AOA. For crops, the ammonia oxidation rates of wheat and oilseed rape soils in all four regions were significantly higher than those of highland barley soil, whereas the activity of AOA and AOB was not influenced by crops. The ratio of nitrogen to phosphorus was the key factor influencing AOA activity, whereas soil pH and total carbon were the main factors influencing AOB activity. Additionally, the quantities of AOA and AOB were not significantly correlated with the total ammonia oxidation rates and AOA and AOB activity. Overall, our study suggests that both AOA and AOB play important roles in ammonia oxidation in farmland soils of the Qinghai-Tibet Plateau. Moreover, it is unreliable to predict the activity of AOA and AOB and their relative contribution to ammonia oxidation directly based on their number of amoA genes, and the activity of AOA and AOB should be directly and accurately measured. These results are important for understanding ammonia nitrogen removal processes, slowing nitrate loss, and reducing the emission of the greenhouse gas nitrous oxide in the farmland ecosystem of the Qinghai-Tibet Plateau. © 2022 Science Press. All rights reserved.     

济南市PM2.5中二次组分的时空变化特征及其影响因素

为分析济南市PM_2.5中二次组分的时空变化和影响因素,对济南市春季(2019年5月16—25日)、秋季(2019年10月15—24日)和冬季(2019年12月17—2020年1月16日)4个典型点位的PM_2.5样品进行连续采样,并测定了PM_2.5中水溶性离子、有机碳(OC)和元素碳(EC)的含量。结果表明:物流交通区的二次组分质量浓度最高(56.13μg·m^?3),钢铁工业区的二次组分浓度比城市市区高,但是二次组分占比较城市市区低,清洁对照点的浓度和占比最低;济南市4个功能区SO₄^2?和NO₃^?转化率均高于0.1,除清洁对照点外,城市市区、钢铁工业区和物流交通区的SO₄^2?转化率明显高于NO₃^?转化率;济南市春季、秋季和冬季的ρ(NO₃^?)/ρ(SO₄^2?)分别为0.67、2.57和1.98,春季PM_2.5浓度以固定源贡献为主,秋季和冬季以移动源贡献为主;运用ISORROPIA热力学模型分析了含水量和pH对二次组分生成的影响,含水量会随着污染增大而增大,酸度和含水量对二次无机组分的转化机理产生影响,酸度会抑制二次无机组分的生成,而含水量会促进二次组分的生成;后向轨迹聚类分析结果表明,占比最高的轨迹(29.2%)来自东北方向的滨州和东营,基于潜在源贡献因子(WPSCF)和浓度权重轨迹(WCWT)分析PM_2.5中二次组分质量浓度的潜在污染源区域,SO₄^2?的主要贡献源区在济南市区北部的济阳区和东北方向的滨州、东营等,NO₃^?和NH₄⁺的主要贡献源区在济南市区北方向的济阳区、东北方向的章丘区和南方向的莱芜区等。该研究结果可为中国北方城市细颗粒物进一步的治理和防控提供数据支撑和理论依据。