层状氢氧化镁铝对偶氮染料酸性黑10B的脱色性能研究

分别用层状氢氧化镁铝(LDH)和焙烧层状氢氧化镁铝(CLDH)作为吸附剂吸附脱除水溶液中偶氮染料酸性黑10B.考察了脱色时间、pH值、吸附剂的投加量、温度、染料初始浓度和焙烧温度等因素对脱色率的影响.结果表明,LDH及CLDH对酸性黑10B染料具有良好的脱除效果,室温下,10g/L LDH和1g/L的CLDH对浓度为100mg/L的染料的脱色率分别达95.93%和99.97%.pH值是影响吸附能力的关键因素,吸附剂对溶液pH值有一定缓冲作用.LDH及CLDH对酸性黑10B吸附结果符合Langmuir吸附等温式.饱和吸附后的LDH及CLDH用高温热解法再生,吸附性能良好,随再生次数增多,脱色率下降.     

Pollution sources identification of polycyclic aromatic hydrocarbons of soils in Tianjin area, China

A total of 188 surface soil samples were collected from different types of utilization soils in Tianjin area. Factor analysis and scatter point surface tension spine function interpolation were used to analyze types and spatial distributions of PAH sources of surface soils in Tianjin area. The results showed that most pollution sources were mixed sources including coal burning and petroleum spill. Mixed sources occupied 56.12%, 58.96%, 46.45% and 59.50% in farmland of wastewater irrigation, common farmland, wild land and city greenbelt, respectively. Other pollution sources such as vehicle emission, biogenic conversion, wood burning and natural gas combustion were also significant. The spatial distributions of pollution sources were closely related to geographic location, geographic condition and living habit of indigenes.     

城市生活垃圾渗透系数测试研究

采用常水头测渗实验，对不同压实密度和水力梯度下的新鲜垃圾与陈垃圾的渗透系数进行测试，根据达西定律求得渗透系数值。由于垃圾的不均匀性、小颗粒的运动和大孔隙沟道流的形成和改变，实验初始阶段渗透系数值先增大至峰值，然后缓慢降低直至趋于稳定。实验稳定后，新鲜垃圾压实密度为0．75—0．95t／m^3时，渗透系数值约为1．26E-03～1．43E-03cm／s。陈垃圾在压实密度分别为1．2和1．4t／m^3时，渗透系数为8．29E-04和1．35E-04cm／s。     

RuO2-IrO2/Ti阳极电催化降解偶氮染料甲基橙模拟废水

以自制Ti基RuO2-IrO2镀层形稳电极为阳极,采用电催化氧化处理偶氮染料甲基橙模拟废水。以硫酸钠为支持电解质,在自然pH条件下分别考察了电解时间、电极间距、电流密度和电解质浓度等因素对甲基橙去除率的影响,并分析其原因。实验结果表明,在自然pH、电极间距为1.0 cm、电流密度为30.0 mA/cm2、电解质硫酸钠浓度为20.0 g/L、电解1.0 h,甲基橙去除率高达90.0%以上。 因此,电催化氧化法作为一种高效、简便的染料废水处理技术,具有一定的应用潜力。     

Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

A combined radical and non-radical oxidation processes for efficient degradation of Acid Orange 7 in the homogeneous Cu(II)/PMS system: important role of chloride

Environmental Science and Pollution Research - Trace copper ion (Cu(II)) in water and wastewater can trigger peroxymonosulfate (PMS) activation to oxidize organic compounds, but it only works under...     

硝基苯类废水的预处理技术研究

Fe(OH)2对硝基苯具有强烈的还原作用，短时间内可把硝基苯还原为苯胺。催化铁屑法处理硝基苯类废水，除了包括铁屑法处理废水的各种反应外，还能使硝基苯在其表面直接还原，且反应在弱碱性条件下效果较好。m(Fe)：m(Cu)为10：1，pH为9．5，废水硝基苯进水质量浓度为250mg／L，反应时间为30min，硝基苯的去除率达100％。     

城市河流水质常规评价技术研究

运用综合水质标识指数法,对我国河流水质评价面临的关键技术问题,包括水质评价方法、水质评价项目,水质级别评价,水环境功能区达标评价、水质定性评价、河流及水系整体水质比较、水质随时间和空间变化等作了明确界定,并介绍了在上海河流水质评价中的应用。     

污泥的粘度与浓度、温度三者关系式的实验推导

通过融合污泥粘度与污泥浓度关系式、污泥粘度与温度关系式,得到一个新的关系式:污泥粘度与污泥浓度、温度的关系式,并通过实验数据拟合出各项参数,拟合效果比较理想.得出的污泥粘度与污泥浓度、温度的关系式对了解污泥的粘度变化非常有帮助,同时,该关系式也将为污泥处理、处置方案的制定提供参考依据.     

Cadmium accumulation, activities of antioxidant enzymes, and malondialdehyde (MDA) content in Pistia stratiotes L.

The aquatic plant Pistia stratiotes L. (water lettuce) was studied due to its capability of absorption of contaminants in water and its subsequent use in wetlands constructed for wastewater treatment. The effects of Cd on root growth, accumulation of Cd, antioxidant enzymes, and malondialdehyde (MDA) content in P. stratiotes were investigated. The results indicated that P. stratiotes has considerable ability to accumulate Cd. Cadmium induced higher superoxide dismutase (SOD) and peroxidase (POD) activities than catalase activity, suggesting that SOD and POD provided a better defense mechanism against Cd-induced oxidative damage. The accumulation of Cd promoted MDA production.