Modification of Ce02-ZrO2 catalyst by potassium for NOx-assisted soot oxidation

Potassium-modified ceria-zirconia catalyst was synthesized by wetness impregnation method. The ageing treatment was performed in static air at 800℃ for 20 hr to evaluate the thermal stability of the catalyst. The catalysts were characterized by X-ray diffraction,BET surface area, oxygen storage capacity, NOx-temperature programmed desorption and soot-temperature programmed oxidation measurements. By introduction of potassium, the maximum soot oxidation rate temperature (Tm) of the ceria-zirconia based catalyst decreased from 525 to 428℃ in the presence of NO under a loose contact mode. The shift of Tm of the K-modified catalyst after ageing is only 15℃. The enhanced activity of the aged catalyst mainly lies in the promotional effect of potassium on the NOx/oxygen storage cacity as well as the soot-catalyst contact.     

南海重点海洋倾倒区表层沉积物富集特征及其潜在生态风险评价

根据2005南海三个重点海洋倾倒区,即九澳岛重点海洋倾倒区、黄茅岛重点海洋倾倒区、汕头重点海洋倾倒区的监测,分析其表层沉积物重金属的监测资料,采用富集系数法和Hakanson潜在生态危害系数法对其富集度和潜在生态危害程度进行了分析和评价.结果表明:在三个倾倒区表层沉积物所监测的重金属中,Cu和Pb元素的富集度相对最高,Hg和Cd元素的富集度较低,从空间上看,潜在生态危害系数评价结果显示,南海三个重点海洋倾倒区表层沉积物中的重金属对海洋生态系统的潜在生态危害非常轻微,均属于轻微潜在生态危害范畴,其中轻微潜在生态危害程度相对较重的是Cd和Hg元素,Cu和Pb元素的轻微生态危害程度较轻.     

水电站项目生态用水工程措施设计

电站引水发电以及堤坝式电站调峰运行将使坝下河段减(脱)水,调水、引水和供水等河道以外用水水利工程也将造成下游河道减(脱)水,水文将对水生生态、生产和生活用水、河道景观等产生一系列的不利影响.为维护河流的基本生态需求,水利水电工程必须下泻一定的生态流量,将其纳入工程水资源配置统筹考虑,使河流水电动能经济规模和水资源配备向"绿色"方向发展.本文以火溪河阴坪水电站为例,简述水电工程下泄生态流量确定的主要方法和下泄生态流量的工程措施设计.     

室内空气中甲醛和苯系物检测与净化

通过对哈尔滨市装饰装修竣工一年内的60户室内空气污染物检测分析,结果表明:室内空气甲醛超标64.1%,苯超标54.1%,甲苯超标35.6%,二甲苯超标30.6%.采用臭氧法,光催化氧化法和药剂法三种方法对室内空气污染物甲醛和苯进行净化效果实验研究,评价其净化效果,比较了三种方法的优劣.     

Effect of barium sulfate modification on the SO2 tolerance of V2O5 /TiO2 catalyst for NH3-SCR reaction

Sulfur poisoning of V_2O_5/BaSO_4–TiO_2(VBT),V_2O_5/WO_3–TiO_2(VWT) and V_2O_5/BaSO_4–WO_3–TiO_2(VBWT) catalysts was performed in wet air at 350℃ for 3 hr,and activities for the selective catalytic reduction of NO_x with NH_3 were evaluated for 200–500℃.The VBT catalyst showed higher NO_x conversions after sulfur poisoning than the other two catalysts.The introduction of barium sulfate contributed to strong acid sites for the as-received catalyst,and eliminated the redox cycle of active vanadium oxide to some extent,which resulted in a certain loss of activity.Readily decomposable sulfate species formed on VBT-S instead of inactive sulfates on VWT-S.These decomposable sulfates increased the number of strong acid sites significantly.Some sulfate species escaped during catalyst preparation and barium sulfate was reproduced during sulfur poisoning,which protects vanadia from sulfur oxide attachment to a great extent.Consequently,the VBT catalyst exhibited the best resistance to sulfur poisoning.     

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

• A spectral machine learning approach is proposed for predicting mixed antibiotic. • Pretreatment is far simpler than traditional detection methods. • Performance of the model is compared in different influencing factors. • Spectral machine learning is promising in the detection of complex substances. Antibiotics are widely used in medicine and animal husbandry. However, due to the resistance of antibiotics to degradation, large amounts of antibiotics enter the environment, posing a potential risk to the ecosystem and public health. Therefore, the detection of antibiotics in the environment is necessary. Nevertheless, conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation, which impose considerable time and economic costs. In this paper, we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning. With the help of a modified spectrometer, a large number of characteristic images were generated to map antibiotic information. The relationship between characteristic images and antibiotic concentrations was established by machine learning model. The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model. The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment. The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies.     

Semi-closed synthesis of nitrogen and oxygen Co-doped mesoporous carbon for selective aqueous oxidation

Heteroatom-doped meso/micro-porous carbon materials are conventionally produced by harsh carbonization under an inert atmosphere involving specific precursors, hard/soft templates, and heteroatom-containing agents. Herein, we report a facile synthesis of N and O co-doped meso/micro-porous carbon (NOMC) by template-free carbonization of a small-molecule precursor in a semi-closed system. The semi-closed carbonizaiton process yields hydrophilic NOMCs with large surface area in a high yield. The porous structure as well as the elemental composition of NOMCs can be modulated by changing the holding time at a particular temperature. NOMCs as metal-free heterogeneous catalysts can selectively oxidize benzyl alcohol and its derivatives into aldehydes/ketones with>85％conversion in aqueous solution, which is much higher than that of the control sample obtained in tube furnace (21％conversion), mainly due to their high N content, high percentage of pyridinic N, and large surface area. The presence of O-containing moieties also helps to improve the hydrophilicity and dispersion ability of catalysts and thus facilitates the mass transfer process during aqueous oxidation. The NOMC catalysts also dispayed excellent activity for a wide range of substrates with a selectivity of>99％.     

海洋硅藻三角褐指藻经黑暗与UV辐射后的补偿生长(英文)

补偿生长是生物体对环境变化的一种适应性反应,主要指生物体遭受到不良环境胁迫后其生长及生理机能受到制约,但当不良环境胁迫解除后,生物体的生长能力会得到不同程度的恢复,表现出相对未受不良环境胁迫生物体超常生长的现象.迄今为止,补偿生长研究的对象主要集中在水生动物、反刍动物和高等植物上,而针对体积微小的海洋浮游植物的研究非常有限.海洋微藻是海洋生态系统最主要的初级生产者,在自然界物质和能量流动中扮演着至关重要的角色;同时,它们可以广泛应用在水产养殖、食品加工、医药保健、环境保护和生物制能等各种行业,具有非常好地开发利用前景.本文利用海洋硅藻三角褐指藻为试验材料,设置黑暗胁迫和UV辐射胁迫处理,着重测定微藻在恢复生长时期的藻生物量,叶绿素a含量和蛋白质含鼍等指标,探讨经黑暗与UV辐射胁迫后三角褐指藻的补偿生长现象.结果显示,无论是先经正常光照处理还是2 d黑暗处理,UV辐射0.1 rain和0.8 rain的微藻生物量都明显高于不经UV辐射胁迫的微藻生物置;此外,经过不同程度的黑暗与UV辐射处理后,微藻在恢复生长期的叶绿素a和蛋白质含量在某特定生长时期中明显高于对照组的叶绿素a和蛋白质含最.结果表明,三角褐指藻对外界环境变化具有适应能力,一旦不良环境胁迫被解除,微藻会表现出一定的补偿生长效应.我们的研究结果不但拓展和丰富了目前补偿生长的研究对象范围,而且还能为当前赤潮的形成、预测和防治提供一个新的研究思路,为有益经济微藻的高效率培养与利用提供理论指导.     

粉煤灰的改性及对刚果红的吸附

分别采用沸水浸泡、酸浸、碱浸和加热的方法对粉煤灰进行改性处理,利用FTIR仪和XRD仪对改性粉煤灰的成分和官能团进行了分析,并利用改性粉煤灰对模拟刚果红废水进行脱色。实验结果表明：碱改性粉煤灰中含有大量官能团,以及NaPl型沸石类物质,能够明显提高粉煤灰对刚果红的吸附性能;与活性炭相比,碱改性粉煤灰具有更高的性价比;在初始刚果红质量浓度为20mg/L、碱改性粉煤灰加入量为50g/L的条件下,废水的脱色率可达87.52%;碱改性粉煤灰对刚果红的吸附过程遵循二级反应动力学,较好地符合Langmuir等温式和Freundlich等温式。