有机物对SAD的影响及其数学模拟

通过血清瓶批式实验,研究了不同C/N下葡萄糖和乙酸钠对厌氧氨氧化耦合反硝化系统（SAD）污泥活性及脱氮性能的影响.耦合系统颗粒污泥为在亚硝态氮充足的UASB连续流反应器中培养得到,具有较高的厌氧氨氧化活性和反硝化活性.以葡萄糖为碳源,C/N分别为1,2,4时,厌氧氨氧化活性差异不大,反硝化活性逐渐增加,亚硝态氮最大降解速率分别为0.265,0.345,0.453kgN/（kgVSS·d）;以乙酸钠为碳源,C/N分别为1、2、4时,厌氧氨氧化活性和反硝化活性都无明显差别.相同C/N下,耦合系统以葡萄糖为碳源时的厌氧氨氧化活性较高,以乙酸钠为碳源时的反硝化活性较高.C/N分别为1,2,4时,以葡萄糖为有机物的氨氮最大降解速率分别为乙酸钠的1.15,1.19,1.58倍,以乙酸钠为有机物时反应的亚硝态氮最大降解速率分别为葡萄糖的1.89,1.48,1.15倍.实验的数学模拟结果表明,通过模型的模拟,能较为准确地预测实验过程中氮素的变化趋势,在C/N为1~4时耦合系统中颗粒污泥的厌氧氨氧化活性无较大变化.     

二氧化钛纳米颗粒对湖滨沼泽土壤氮矿化的影响

二氧化钛纳米颗粒（TiO₂NPs）的广泛应用使其环境释放量不断增加,从而影响到土壤氮的转化过程.然而,目前关于TiO₂NPs对湖滨沼泽土壤氮矿化的影响机制尚不明确.因此,本研究以典型沼泽土壤为研究对象,通过室内培养实验研究不同剂量TiO₂NPs处理（0 mg·kg^-1（CK）、10 mg·kg^-1（A10）、100 mg·kg^-1（A100）、250 mg·kg^-1（A250）、1000 mg·kg^-1（A1000））对土壤理化性质、酶活性和氮矿化过程的影响,探讨TiO₂NPs输入对土壤氮矿化过程影响的内在机制.结果表明：①不同剂量TiO₂NPs处理显著降低了土壤pH和总有机碳（TOC）含量（p<0.05）,A100、A250和A1000处理显著降低了硝态氮（NO₃^--N）含量（p<0.05）.②A250和A1000处理显著抑制了过氧化氢酶活性（p<0.05）;培养7 d,不同剂量TiO₂NPs处理均显著促进了脲酶活性（p<0.05）,抑制了脱氢酶活性（p<0.05）;随着培养时间延长,TiO₂NPs处理对脲酶和脱氢酶活性的抑制作用逐渐减弱,表明TiO₂NPs的负面作用会随时间减弱.③不同剂量TiO₂NPs处理对氨化速率没有显著影响（p>0.05）,A250、A1000处理对硝化和矿化速率有显著抑制作用（p<0.01）.④土壤氮矿化速率与土壤pH、总磷（TP）、NO₃^--N含量呈显著正相关,与脲酶、过氧化氢酶活性呈显著负相关.TiO₂NPs主要通过改变沼泽土壤NO₃^--N含量影响氮矿化过程.本研究可为湖滨湿地保护和TiO₂NPs环境风险评估提供理论依据.     

桐油水解制备咪唑啉缓蚀剂及其量子化学研究

目的 开发原料价廉易得、能实际应用的缓蚀剂。方法 以桐油为原料,水解后得到桐油酸,然后与二乙烯三胺经过酰胺化和环化反应,生成桐油咪唑啉缓蚀剂。在模拟现场环境的条件下对所合成的桐油咪唑啉缓蚀剂进行电化学测试和高温高压性能评价。利用量子化学计算对桐油咪唑啉缓蚀剂的分子动力学进行模拟,探讨其在Fe表面的吸附作用。结果 红外光谱显示,桐油水解后可生成桐油酸,最终合成物为桐油咪唑啉。电化学测试表明,随着桐油咪唑啉缓蚀剂添加量的增大,20#测试钢片的自腐蚀电位逐渐提高,腐蚀电流降低。高温高压模拟实验显示,加入油酸咪唑啉后,腐蚀速率明显降低,由0.3181 mm/a降到了0.0392 mm/a。量子化学计算表明,桐油咪唑啉分子中的咪唑啉环会平行吸附于铁表面,形成一层缓蚀剂膜。结论 价廉易得的桐油经水解后可得桐油酸,再与二乙烯三胺经过酰胺化和环化反应最终合成了桐油咪唑啉缓蚀剂。该缓蚀剂添加量越大,对20#钢片的缓蚀效果越好,呈现出了较好的缓蚀效果,其分子结构中的咪唑环能平行吸附于铁表面,属于抑制阳极型缓蚀剂。     

Effects of TiO2 nanoparticles on the aquatic plant Spirodela polyrrhiza: Evaluation of growth parameters, pigment contents and antioxidant enzyme activities

Plants are essential components of all ecosystems and play a critical role in environmental fate of nanoparticles. However, the toxicological impacts of nanoparticles on plants are not well documented. Titanium dioxide nanoparticles (TiO₂-NPs) are produced worldwide in large quantities for a wide range of purposes. In the present study, the uptake of TiO₂-NPs by the aquatic plant Spirodela polyrrhiza and the consequent effects on the plant were evaluated. Initially, structural and morphological characteristics of the used TiO₂-NPs were determined using XRD, SEM, TEM and BET techniques. As a result, an anatase structure with the average crystalline size of 8nm was confirmed for the synthesized TiO₂-NPs. Subsequently, entrance of TiO₂-NP_S to plant roots was verified by fluorescence microscopic images. Activity of a number of antioxidant enzymes, as well as, changes in growth parameters and photosynthetic pigment contents as physiological indices were assessed to investigate the effects of TiO₂-NPs on S. polyrrhiza. The increasing concentration of TiO₂-NPs led to the significant decrease in all of the growth parameters and changes in antioxidant enzyme activities. The activity of superoxide dismutase enhanced significantly by the increasing concentration of TiO₂-NPs. Enhancement of superoxide dismutase activity could be explained as promoting antioxidant system to scavenging the reactive oxygen species. In contrast, the activity of peroxidase was notably decreased in the treated plants. Reduced peroxidase activity could be attributed to either direct effect of these particles on the molecular structure of the enzyme or plant defense system damage due to reactive oxygen species.     

山西省CO2排放影响因素研究及情景分析

山西作为我国的能源大省,其碳排放强度更是持续位于全国最高水平,分析山西省CO₂排放影响因素,探究其发展模式,对于山西省的低碳发展意义重大.基于STIRPAT模型,将山西省能源CO₂排放的影响因素确定为人口、城镇化率、人均GDP、第二产业占GDP比重、能源强度.在岭回归拟合分析的基础上,利用灰色GM（1,1）模型对山西省CO₂排放驱动因素值进行预测,以提高能源CO₂排放预测的准确性,并结合情景分析方法,为山西省的CO₂减排设计了10种不同的发展情景.结果表明:①人口对山西省CO₂排放影响最大,其次是城镇化率和第二产业占GDP比重.②在当前经济发展阶段,能源强度和人均GDP等因素对山西省的CO₂排放影响不大,但能源强度对CO₂排放的抑制作用不可忽略.③山西省CO₂减排最佳的情景方案为适当控制人口数量和城镇化进程、加快产业结构的转型和技术的革新、降低第二产业占GDP比重和能源强度,并且大力推广新能源和清洁可再生能源的开发使用以优化能源消费结构.在该情景下,山西省2020年的CO₂排放量可以控制在5.16×108 t.      

铁纳米线对水中Cu2+的吸附性能及机理

为研究nZVI（纳米零价铁）材料对水中Cu2+的吸附性能,采用液相还原法合成核壳结构的nZVI,即FSCNs（铁纳米线,Fe@Fe₂O₃ core-shell nanowires）.通过批处理吸附试验研究pH、离子强度、FSCNs投加量、反应时间、初始ρ（Cu2+）、反应温度等因素对Cu2+去除率的影响,运用动力学模型、等温吸附模型和吸附热力学模型分析FSCNs对Cu2+的吸附特性,并利用SEM（扫描电镜）、XRD（X射线衍射）和XPS（X射线光电子能谱）等表征手段探讨FSCNs对Cu2+的吸附机制.结果表明:①在pH为5、离子强度为0.01 mol/L、FSCNs投加量为0.5 g/L、反应温度为318 K条件下,FSCNs对Cu2+产生的吸附容量最大,为387.6 mg/g.②FSCNs对Cu2+的吸附反应在30 min内达到吸附平衡,此时的最大吸附率可达96%;FSCNs对Cu2+的吸附更符合准二级动力学模型（R2≥0.992）,表明化学吸附可能为该反应的限制步骤;Langmuir和Freundlich等温吸附模型均能较好地拟合吸附结果（R2≥0.992）;该吸附过程是自发的吸热反应〔ΔG0（吉布斯标准自由能） < 0,ΔH0（标准焓变）>0〕.③大部分Cu2+在加入FSCNs后转化为Cu、Cu₂O和CuO,被吸附在FSCNs表面,吸附、还原与共沉淀可能是FSCNs去除水中Cu2+的主要机理.研究显示,FSCNs对Cu2+的最大吸附容量为387.6 mg/g,能快速高效吸附水中的Cu2+,应用前景良好.      

Long-term observations of tropospheric NO2, SO2 and HCHO by MAX-DOAS in Yangtze River Delta area, China

Yangtze River Delta(YRD) area is one of the important economic zones in China. However,this area faces increasing environmental problems. In this study, we use ground-based multi-axis differential optical absorption spectroscopy(MAX-DOAS) network in Eastern China to retrieve variations of NO_2, SO_2, and formaldehyde(HCHO) in the YRD area. Three cities of YRD(Hefei, Nanjing, and Shanghai) were selected for long-term observations. This paper presents technical performance and characteristics of instruments, their distribution in YRD, and results of vertical column densities(VCDs) and profiles of NO_2, SO_2, and HCHO.Average diurnal variations of tropospheric NO_2 and SO_2 in different seasons over the three stations yielded minimum values at noon or in the early afternoon, whereas tropospheric HCHO reached the maximum during midday hours. Slight reduction of the pollutants in weekends occurred in all the three sites. In general trace gas concentrations gradually reduced from Shanghai to Hefei. Tropospheric VCDs of NO_2, SO_2, and HCHO were compared with those from Ozone Monitoring Instrument(OMI) satellite observations, resulting in R~2 of 0.606, 0.5432, and 0.5566, respectively. According to analysis of regional transports of pollutants, pollution process happened in YRD under the north wind with the pollution dissipating in the southeast wind. The feature is significant in exploring transport of tropospheric trace gas pollution in YRD, and provides basis for satellite and model validation.     

Alkali resistance promotion of Ce-doped vanadium-titanic-based NH3-SCR catalysts

The effect of K deactivation on V_2O_5/WO_3-TiO_2 and Ce-doped V_2O_5/WO_3-TiO_2 catalysts in the selective catalytic reduction(SCR) of NOxby NH_3 was studied.Ce-doped V_2O_5/WO_3-TiO_2 showed significantly higher resistance to K deactivation than V_2O_5/WO_3-TiO_2.Ce-doped V_2O_5/WO_3-TiO_2 with K/V = 4(molar ratio) showed 90% NOxconversion at 350°C,whereas in this case V_2O_5/WO_3-TiO_2 showed no activity.The fresh and K-poisoned V_2O_5/WO_3-TiO_2 and Ce-doped V_2O_5/WO_3-TiO_2 catalysts were investigated by means of in situ diffuse reflectance infrared Fourier transform spectroscopy(DRIFTS),NH_3-temperature progress decomposition(NH_3-TPD),X-ray photoelectron spectroscopy(XPS) and H2-temperature program reduction(H_2-TPR).The effect of Ce doping on the improving resistance to K of V_2O_5/WO_3-TiO_2 were discussed.     

利用集合均方根卡尔曼滤波反演重庆地区SO2源排放

传统的"自下而上"清单方法估算的排放清单,其数据的准确性和时效性存在较大局限.基于集合均方根卡尔曼滤波的源清单反演方法,结合WRF-CMAQ（天气研究和预报模式-公共多尺度空气质量模型）被用于对以清华大学编制的2010年MEIC（中国多尺度排放清单模型）排放清单为基础制作的重庆地区SO₂排放源进行反演试验以解决准确性和时效性问题,试验时间段为2014年10月15-31日,重庆主城17个环境空气质量国控监测点ρ（SO₂）小时观测资料用于反演及检验.结果表明:该方法能够反演重庆地区SO₂源排放量,随着反演次数增加,基于反演排放源预报的ρ（SO₂）预报误差持续减小,反演4次后预报误差达到比较低的稳定的水平,其均方根误差均低于20 μg/m3. 5次反演后SO₂源排放量用于2014年10月24-29日每天起始预报,其预报的站点、时间平均的均方根误差从100~400 μg/m3降至30 μg/m3以下.反演中应用局地化尺度减少集合取样误差影响,54与81 km两个局地化尺度反演结果对预报改善效果相当,表明主要影响重庆主城ρ（SO₂）的源排放位于主城及周边地区,也说明内源排放对重庆主城ρ（SO₂）起主要影响.反演后面源排放量主城区降幅约为30 kg/（d·km2）,周边地区减少10~20 kg/（d·km2）,主城区部分SO₂点源排放量降幅约为25 kg/（d·km2）,说明2010年MEIC排放清单高估了试验时段重庆地区的SO₂排放.