Recycling of the hyperaccumulator Brassica juncea L.: synthesis of carbon nanotube-Cu/ZnO nanocomposites

The methods of synthesizing carbon nanotube (CNTs)-Cu/ZnO nanocomposites using a Cu hyperaccumulator (Brassica juncea L.) constitute a new insight into the recycling of hyperaccumulators and provide a new route for the further development of green nanostructure syntheses. In this paper, CNTs-Cu/ZnO nanocomposites have been synthesized using B. juncea plants as the sources of C, Cu, and Zn. The synthesized CNTs-Cu/ZnO nanocomposites were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), and energy dispersive spectra (EDS). The synthesized CNTs were characterized further by selected area diffraction (SAD) patterns and Raman spectroscopy. The results demonstrated that the structure of individual CNTs was middle-hollow, with an outer diameter of about 80 nm. The synthesized CNTs were not at all crystalline and there were a few defects in the walls. The outer diameter of CNTs-Cu/ZnO nanocomposites was 110 nm. The diameters of Cu/ZnO nanoparticles were 29.5/32.7 nm, respectively. Cu/ZnO nanoparticles that had grown onto the CNT surface were nonuniform and agglomerated. The Cu/ZnO nanoparticles were pure.     

安徽省雷电灾害特征分析及区域灾情评估

利用安徽省雷电灾害资料和闪电定位资料,对1998~2012年的雷电灾害特征进行了统计分析,选取年平均雷灾次数N、年平均伤亡人数M和年平均经济损失E作为基本评价指标,利用熵权综合评价模型对安徽省78个县级行政单位的区域雷电灾情进行评估,对雷电灾害强度空间分布做了等级划分。结果表明:2002~2009年为安徽省雷电灾害高发年份;全省雷电灾害主要集中发生在6、7、8月份;雷电灾害发生于城市(县城)的频次要多于乡村;乡村地区的雷电灾害损失类型主要为人身伤亡,城市的雷电灾害损失类型主要为电子设备的物理损害和经济损失;民用、电力和通信为全省主要雷电灾害损失行业。综合灾情指数G分布反映了不同地区受雷电灾害的严重程度,其中南陵县、阜阳市区、马鞍山市区、淮北市区和宣城市区为受灾较重的地区。灾情评估结果可为区域性的雷电防护和风险评估工作提供科学依据。     

Study of uncertainty of satellite and reanalysis precipitation products and their impact on hydrological simulation

Environmental Science and Pollution Research - Satellite and reanalysis precipitation products are potential alternatives in hydrological studies, and it is very important to evaluate their...     

Simultaneous carbon and nitrogen removal by anaerobic ammonium oxidation and denitrification under different operating strategies

Environmental Science and Pollution Research - Real domestic wastewater was treated initially in a sequencing batch reactor (SBR), with partial nitrification achieved before the effluent was used...     

养殖塘CH4通量时空变化特征及其影响因素

本研究基于多通道密闭式动态箱法对亚热带典型养殖塘CH₄通量的时空变化特征及其影响因素进行了分析.结果表明：亚热带养殖塘CH₄主要排放方式是冒泡,CH₄扩散及冒泡通量均呈现明显的季节变化特征.春、夏、秋、冬4个季节CH₄扩散通量分别为：0.113,0.830,0.002,0.005μmol/（m²·s）,冒泡通量分别为0.923,1.789,0.006,0.007μmol/（m²·s）,冒泡通量占总通量的比例分别为89.04%、68.29%、78.95%和60.52%.在冬、春季养殖塘没有人工管理措施的情况下,CH₄通量随着离岸距离的增加而增大,冬、春季养殖塘中间区域CH₄总通量分别是岸边浅水区的34.70和2.98倍.夏季养殖活跃期CH₄通量在空间上呈现出：人工投食区（7.371μmol/（m²·s））>自然生长区（2.151μmol/（m²·s））>人工增氧区（0.888μmol/（m²·s））>岸边浅水区（0.206μmol/（m²·s））的特征.在0.5h尺度上,春季CH₄扩散通量与水温呈显著正相关关系,与风速呈负相关关系,秋季CH₄扩散通量与水温、风速呈正相关关系,冒泡通量和水温呈正相关关系.在日尺度上,水温是CH₄扩散通量和冒泡通量的主控因子,两者均随着水温升高呈指数增加,并且冒泡通量的水温敏感性Q₁₀（12.72）大于扩散通量（7.78）.     

创新集聚空间分布模式对霾污染的影响

为了比较分析创新集聚空间分布单中心与多中心两种模式对霾污染的影响机制,本文构建了省域面板数据模型和中介效应模型进行实证检验.结果表明：创新集聚可通过规模效应降低霾污染;但创新集聚空间分布模式对霾污染的影响具有异质性.其中,单中心模式诱发了霾污染,存在创新集聚环境效应悖论;多中心模式对霾污染具有改善效应;随着创新集聚多中心的提高,其霾污染改善效应增强,但具有边际递减特征;能源利用效率是创新集聚空间分布模式影响霾污染的重要渠道之一.基于此,本文建议省级政府推进空间协同创新发展战略,建构省域多中心的创新网络空间组织体系,以此形成多中心协同治霾机制,破解创新集聚环境效应悖论.     

纳米单质铁对厌氧氨氧化脱氮性能的影响

通过向厌氧氨氧化反应器(ASBR)中投加纳米单质铁(nZVI),考察了其对厌氧氨氧化反应(ANAMMOX)脱氮性能的影响.结果表明,在温度为(25±0.5)℃,pH值为7.5±0.5,进水NH₄⁺-N和NO₂^--N浓度分别为30.35mg/L和37.89mg/L条件下,分别投加0,10,50,100.200,500,1000mg/L nZVI时,总氮去除率(NRE)分别达到70.27%、74.25%、83.45%、90.16%、68.59%、57.18%、50.93%.用修正的Boltzmann、Gompertz、Logistic模型对其进行动力学分析,R²值分别为0.9963、0.9944、0.9851,总氮(TN)出水浓度和NRE的预测值与实际值比较,其均方误差值分别为2.13、6.31、8.48和6.93、7.47、10.95.