Transformation of hazardous lead into aluminosilicate ceramics: structure evolution and lead leaching

This study investigated crystallization mechanisms for the formation of lead aluminosilicate by sintering lead stabilization with kaolin-based precursors. PbAl2Si2O8 was found to be the only stable lead aluminosilicate in low-PbO system and demonstrates its highly intrinsic resistance to acid attack in leaching test. A three-stage PbAl2Si2O8 formation mechanism was supported by the results of the changing temperature in the system. Amorphization of sintered products was observed in both PbO/kaolinite and PbO/mullite systems at 600–700°C. When the temperature was increased to 750–900°C, the crystallochemical formation of lead aluminosilicates (i.e., Pb4Al4Si3O16, Pb6Al6Si2O21, and PbAl2Si2O8) was observed. Pb4Al4Si3O16 and Pb6Al6Si2O21 were found to be the intermediate phases at 700–900°C. Finally, PbAl2Si2O8 was found to be the only crystallite phase to host Pb at above 950°C. A maximum of 80% and 96.7% Pb can be incorporated into PbAl2Si2O8 in PbO/kaolinite and PbO/mullite systems, respectively, but the final products exhibited different microstructures. To reduce environmental hazard of lead, this strategy demonstrated a preferred mechanism of immobilizing lead into PbAl2Si2O8 structure via kaolin-based precursors.     

Molecular,functional, and cellular alterations of oocytes and cumulus cells induced by heat stress and shock in animals

Environmental Science and Pollution Research - Global warming is considered as the main environmental stress affecting ecosystems as well as physiological and biochemical characteristics, and...     

砒砂岩区不同留茬高度及坡向下沙棘根系分形特征

为提高内蒙古砒砂岩区沙棘(Hippophae rhamnoides)人工林根系的生长能力,对东(E)、南(S)、西(W)、北(N)不同坡向沙棘植株进行了距地表0、10、15、20 cm(即a、b、c、d)留茬高度处理,而根系分形特征是植物根系构型应对环境异质性的表型可塑性,为反映沙棘根系对不同坡向不同留茬生长环境的适应...     

Probabilistic health risk assessment of nitrosamines in drinking water of Shaoxing,Zhejiang, China

Environmental Science and Pollution Research - Nitrosamines (NAms) are potent genotoxic and carcinogenic but widely detected in drinking water. This study aimed to investigate the occurrence of...     

Study on the denitrification performance of FexLayOz/activated coke for NH3-SCR and the effect of CO escaped from activated coke at mid-high temperature on catalytic activity

Currently, activated coke is widely used in the removal of multiple pollutants from industrial flue gas. In this paper, a series of novel Fe_xLa_yO_z/AC catalysts was prepared by the incipient wetness impregnation for NH₃-SCR denitrification reaction. The introduction of Fe-La bimetal oxides significantly improved the denitrification performance of activated coke at mid-high temperature, and 4% Fe_0.3La_0.7O_1.5/AC exhibited a superior NO_x conversion efficiency of 90.1% at 400 °C. The catalysts were further characterized by BET, SEM, XRD, Raman, EPR, XPS, FTIR, NH₃-TPD, H₂-TPR, et al., whose results showed that the perovskite-type oxide of LaFeO₃ and oxygen vacancies were produced on the catalysts’ surfaces during roasting. Fe-La doping enhanced the amount of acid sites (mainly Lewis and other stronger acid sites) and the content of multifarious oxygen species, which were beneficial for NO_x removal at mid-high temperature. Moreover, it was investigated that the effect of released CO from activated coke at mid-high temperature on the NO_x removal through the lifetime test, in which it was found that a large amount of CO produced by pyrolysis of activated coke could promote the NO_x removal, and long-term escaping of CO on the activated coke carrier did not have a significant negative impact on catalytic performance. The results of the TG-IR test showed that volatile matter is released from the activated coke while TG results showed that the weight loss rate of 4% Fe_0.3La_0.7O_1.5/AC only was 0.0015~0.007%/min at 300–400 °C. Hence, 4% Fe_0.3La_0.7O_1.5/AC had excellent thermal stability and denitrification performance to be continuously used at mid-high temperature. Finally, the mechanisms were proposed on the basis of experiments and characterization results.

     

膜过滤-气相色谱法测定涂料中的苯系物、环己酮和甲苯二异氰酸酯

采用膜过滤-气相色谱法测定涂料中的苯系物、环己酮和甲苯二异氰酸酯（TD I）。用7种规格的石英毛细管色谱柱对混合标准溶液和涂料试样进行了分析实验,实验结果表明,不同属性的涂料试样添加固定量的正十四烷作内标物,经膜过滤净化后,苯系物、环己酮和TD I可采用DB-1-3或DB-1-2色谱柱同时分离并测定。测试数据经多级校准曲线处理后涂料试样中苯系物、环己酮和TD I的加标回收率为98.6%～101.8%,各组分分析结果的变异系数均小于2.0%,检出限均小于1.50×10^-5g。     

荧光法研究DNA与蒽相互作用机理

利用荧光猝灭光谱和紫外-可见吸收光谱研究了体外DNA对蒽的荧光猝灭机理.结果表明,DNA的紫外-可见光谱没有发生红移现象,通过计算分析不同温度下的荧光猝灭常数和热力学参数,结合两种光谱分析可知DNA对蒽的荧光猝灭属于动态猝灭机理.     

基于专利的区域环境技术创新水平空间分异研究

以环境技术专利表征创新水平,采用绝对指标与相对指标、专利结构布局系数(或特化系数)与技术创新主体结构布局系数,衡量中国各省市环境技术创新水平的空间分异,探讨其不平衡性的原因.研究结果表明,绝对指标评价的环境技术创新水平,呈现"东高西低"的格局;相对指标表征的环境技术创新水平,大部分省市的评价结果基本上在0.1～0.5、0.59～1.04之间,空间分异不明显.东部地区省市发明专利、企业专利特化系数高,如天津、香港、北京、上海的发明专利特化系数均在1.3以上,香港和上海的企业专利特化系数大于2.但是发明专利、公司企业专利--2项最具价值的专利技术创新水平均较高的省市不多,我国环境技术创新水平整体水平不高.     

防震救灾：高科技之路

高新技术在防震减灾事业中的作用与地位．在1999年8月17日土耳其7.4级地震抗震救灾中大显身手．充分显示出威力和作用．使我们在抢险救灾时面对被埋压人员的用境和无奈时看到了希望．得到解脱。从中醒悟到,科学技术是防震减灾的重要手段．是推动减灾事业发展的推动力。在防灾上．科技含量越高．伤亡人数就会越少;在救灾上,高科技手段越多．从死亡边缘拉回来的人就越多。在2008年四川汶川大地震抗震救灾中．卫星遥感等先进技术也发挥突出的作用．为抢救人民生命财产赢得了时间．提供准确的信息支持。     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.