The permeability of dredged material-bentonite backfills

Environmental Science and Pollution Research - Extensive attention has been paid to the treatment and disposal of dredged material, and there is a need to clarify the feasibility of recycling...     

Research progress on the association between environmental pollutants and the resistance mechanism of PARP inhibitors in ovarian cancer

Environmental Science and Pollution Research - The occurrence and progression of ovarian cancer are closely related to genetics and environmental pollutants. Poly(ADP-ribose) polymerase (PARP)...     

Uptake and distributions of polycyclic aromatic hydrocarbons in cultivated plants around an E-waste disposal site in Southern China

Environmental Science and Pollution Research - Polycyclic aromatic hydrocarbons (PAHs) in air, soil, and cultivated plants at e-waste disposal sites in Taizhou, Zhejiang Province, were determined...     

微生物对汞矿区农田土壤汞甲基化的影响

为研究典型汞矿区农田土壤中汞的甲基化作用,实验以受汞污染的旱田土壤和稻田土壤为对象,分别进行灭菌,促进硫酸盐还原菌(SRB)活性处理,抑制SRB活性处理以及促进铁还原菌(FeRB)活性处理,分析非微生物作用和微生物作用对土壤甲基汞(MeHg)生成的影响.结果表明,促进SRB活性处理的土壤MeHg生成量最高,其中旱田土MeHg增量为0.15~0.38μg·kg~(-1),稻田土壤MeHg增量为1~2μg·kg~(-1);抑制SRB活性处理和促进FeRB活性处理的MeHg增量较小,最高值仅为0.025μg·kg~(-1).相比于旱田土壤,稻田土壤具有更高的汞甲基化能力,其MeHg生成量是旱田土壤的4~9倍.土壤SRB数量与MeHg生成量具有相同的变化趋势,二者具有显著的正相关性(R~2=0.57,P0.01).因此,该研究区土壤汞甲基化作用主要是微生物汞甲基化作用,且主要的汞甲基化细菌是SRB.此外,稻田是农田中MeHg生成的活跃地区,在评估和控制MeHg对人体健康危害时需要重点关注.     

Metal distribution characteristic of MSWI bottom ash in view of metal recovery

Bottom ash is the major by-product of municipal solid waste incineration(MSWI), and is often reused as an engineering material, such as road-base aggregate. However, some metals(especially aluminum) in bottom ash can react with water and generate gas that could cause expansion and failure of products containing the ash; these metals must be removed before the ash is utilized. The size distribution and the chemical speciation of metals in the bottom ash from two Chinese MSWI plants were examined in this study, and the recovery potential of metals from the ash was evaluated. The metal concentrations in these bottom ashes were lower than that generated in other developed countries. Specifically, the contents of Al,Fe, Cu and Zn were 18.9–29.2, 25.5–32.3, 0.7–1.0 and 1.6–2.5 g/kg, respectively. Moreover,44.9–57.0 wt.% of Al and 55.6–75.4 wt.% of Fe were distributed in bottom ash particles smaller than 5 mm. Similarly, 46.6–79.7 wt.% of Cu and 42.9–74.2 wt.% of Zn were concentrated in particles smaller than 3 mm. The Fe in the bottom ash mainly existed as hematite, and its chemical speciation was considered to limit the recovery efficiency of magnetic separation.     

Pseudomonas sp. ZXY-1, a newly isolated and highly efficient atrazine-degrading bacterium, and optimization of biodegradation using response surface methodology

Atrazine, a widely used herbicide, is increasing the agricultural production effectively, while also causing great environmental concern. Efficient atrazine-degrading bacterium is necessary to removal atrazine rapidly to keep a safe environment. In the present study, a new atrazine-degrading strain ZXY-1, identified as Pseudomonas, was isolated. This new isolated strain has a strong ability to biodegrade atrazine with a high efficiency of 9.09 mg/L/hr.Temperature, p H, inoculum size and initial atrazine concentration were examined to further optimize the degradation of atrazine, and the synthetic effect of these factors were investigated by the response surface methodology. With a high quadratic polynomial mathematical model(R~2= 0.9821) being obtained, the highest biodegradation efficiency of 19.03 mg/L/hr was reached compared to previous reports under the optimal conditions(30.71°C, pH 7.14, 4.23%(V/V) inoculum size and 157.1 mg/L initial atrazine concentration).Overall, this study provided an efficient bacterium and approach that could be potentially useful for the bioremediation of wastewater containing atrazine.     

基于遗传神经网络的除湿机故障诊断与寿命预测

目的识别除湿机的性能状态和预测吸附剂的剩余寿命。方法针对除湿机故障过程缓变的特点,提出一种基于数据驱动的遗传神经网络模型。首先,为解决设备失效程度划分模糊的问题,由5个热力参数组成反映吸附剂劣化程度的特征向量,关联分析得到除湿机的5类故障模式。其次,利用遗传神经网络建立状态参数和故障模式的映射关系。最后,对表征设备吸附能力的主参数进行外推预测。结果训练好的诊断网络可准确地识别出设备的劣化程度及其演变过程,预测网络的预测精度非常高。结论该方法可有效地实现对除湿机的故障诊断与预测。。     

一种低功耗高性能数据采集数字处理平台的设计

目的构建一套基于中频信号基带数字信号处理的软件无线电平台。方法通过选择芯片设计硬件电路设计出合适的PCB板。结果主要依据软件无线电平台,提出了一种基于A/D+FPGA+D/A的硬件设计方案,该系统包括了前端的A/D数据采集和后端的D/A模拟数据恢复的详细收发电路原理设计。结论构建了一个从前端数据接收到后端模拟发送的高速基带数字信号处理平台。     

外浮顶原油储罐VOCs泄漏损耗及排放量核算

介绍了国内外浮顶原油储罐VOCs泄漏损耗形式。结合美国环保署(EPA)发布的AP-42中第7章储罐的VOCs相关排放公式,建立了外浮顶原油储罐VOCs排放量核算的方法,并对核算方法的应用进行了举例分析,有助于掌握现阶段原油外浮顶储罐的泄漏损耗量,为推进企业绿色低碳发展,控制原油储罐VOCs总量排放提供参考。     

基于GIS和LUR模型的西安市PM2.5浓度空间分布模拟研究

基于地理信息系统GIS和土地利用回归LUR模型,模拟西安市PM2.5浓度空间动态分布,结果表明:与PM2.5浓度相关性最高的分别为缓冲区为2 km的水域面积、人口密度和距离水域距离,R 2分别为0.501,0.393和0.280;与PM2.5浓度相关性最低的分别为缓冲区为4 km的水域面积、未利用地面积和耕地面积,R 2分别为0.039、0.021和0.017.未考虑风速建立的LUR模型多元回归的相关系数为0.856,R 2为0.733,考虑风速的相关系数为0.892,R 2为0.796,表明风速对于污染物的分布影响较大,LUR模型模拟效果较好.模拟的PM2.5年均浓度高风险区分布于中部,中风险区分布于中西部,低风险区分布于东南部和西部.