Validation of a Lagrangian dispersion model implementing different kernel methods for density reconstruction

In this paper the inert version of a Lagrangian particle model named photochemical Lagrangian particle model (PLPM) is described and validated. PLPM implements four density reconstruction algorithms based on the kernel density estimator. All these methods are fully grid-free but they differ each other in considering local or global features of the particles distribution, in treating the Cartesian directions separately or together and in being based on receptors or particles positions in space. Each kernel has been shown to have both advantages and disadvantages, but the overall good performances of the model when compared with the well known Copenhagen and Kincaid data sets are very encouraging in view of its extension to fully chemically active simulations, currently under development.     

垂直潜流人工湿地堵塞微观概念模型的提出

根据垂直潜流人工湿地发生堵塞的成因主要是基质层中不可滤物质积累的结论,在分析垂直潜流人工湿地堵塞物形态及成分粒径的基础上,首次提出了基质间不可滤物质积累微观概念模型的假设;并根据微观概念模型,在考虑生物膜、无机物积累等动态变化因素条件下提出基质间完全堵塞所需时间、基质表面发生雍水所需时间及基质渗透系数随时间变化的关系.     

膜基活化溶液中活化剂在回收温室气体CO2过程中的作用

将AMP和PZ作为活化剂添加于MDEA溶液中,形成活化溶液,研究了膜基活化溶液回收温室气体CO2性能,着重考察活化剂的活化作用和对膜接触器传质加强的影响,提出一个活化机理来解释活化现象,建立了阻力层方程模型, 并模拟膜基活化溶液回收CO2的传质过程。结果表明,活化剂对膜接触器传质的加强起到重要作用,具有双氨基环状结构的PZ对传质的加强作用高于具有空间位阻结构的AMP;活化溶液的CO2回收率和传质通量明显高于未活化的MDEA溶液,活化性能PZ＞AMP;活化剂的活化效应与分子结构有关;流体力学的改变对传质的影响有限,活化剂的反应动力学对传质的加强起主导作用;阻力层方程模型能较好地模拟膜基活化溶液回收CO2传质过程,传质通量和总传质系数的模型值与实验值符合较好。     

The bioaccumulation of Molybdenum in the earthworm Eisenia andrei: influence of soil properties and ageing

Mo bioaccumulation in the earthworm Eisenia andrei was determined after 28 d exposure in ten different European field soils (pH 4.4-7.8) and an artificial soil, freshly spiked with Na₂MoO₄ at concentrations between 3.2 and 3200 mg Mo kg⁻¹ dry soil. Three field soils were also tested after ageing for 11 months. Earthworm Mo concentrations generally levelled off at high exposure levels but in most soils showed a (nearly) linear increase with increasing soil concentrations in the lower, non-toxic range (below EC10 or NOEC for reproduction effects). Bioaccumulation (BAF) and Bioconcentration factors (BCF) were calculated as the ratio of earthworm concentration to soil and estimated porewater concentrations, respectively. BAFs (0.35-3.44) and BCFs (1.31-276) did not seem much affected by soil concentration, suggesting that earthworms are not capable of regulating their internal Mo concentrations. BAF was best predicted by ammonium oxalate-extractable iron (Fe_ox) and phosphor (P_ox) contents of the soils.     

Neural network forecasting of air pollutants hourly concentrations using optimised temporal averages of meteorological variables and pollutant concentrations

The new method for the forecasting hourly concentrations of air pollutants is presented in the paper. The method was developed for a site in urban residential area in city of Zagreb, Croatia, for four air pollutants (NO₂, O₃, CO and PM₁₀). Meteorological variables and concentrations of the respective pollutant were taken as predictors. A novel approach, based on families of univariate regression models, was employed in selecting the averaging intervals for input variables. For each variable and each averaging period between 1 and 97 h, a separate model was built. By inspecting values of the coefficient of correlation between measured and modelled concentrations, optimal averaging periods for each variable were selected. A new dataset for building the forecasting model was then calculated as temporal moving averages (running means) of former variables. A multi-layer perceptron type of neural networks is used as the forecasting model. Index of agreement, calculated for the entire dataset including the data for model building, ranged from 0.91 to 0.97 for the respective pollutants. As suggested by the analysis of the relative importance of the input variables, different agreements for different pollutants are likely due to different sources and production mechanisms of investigated pollutants. A comparison of the new method with more traditional method, which takes hourly averages of the forecast hour as input variables, showed similar or better performance. The model was developed for the purpose of public-health-oriented air quality forecasting, aiming to use a numerical weather forecast model for the prediction of the part of input data yet unknown at the forecasting time. It is to expect that longer term averages used as inputs in the proposed method will contribute to smaller input errors and the greater accuracy of the model.     

电-Fenton法处理页岩气压裂返排液

页岩气开发压裂返排液处理是近年的研究热点,本文采用电-Fenton氧化技术对压裂返排液絮凝出水进行深度处理研究,主要考察了H2O2投加量、pH值、电压和反应时间对COD去除效果的影响。通过正交实验和单因素影响实验,确定电-Fenton氧化处理絮凝出水的适宜条件为：H2O2投加量为40 mL·L-1、pH=3、电压6 V和反应时间60 min。在此条件下,出水COD为71.3 mg·L-1,COD去除率达到62.5%。实验结果表明化学絮凝-电-Fenton氧化是页岩气压裂返排液达标外排的一种适宜处理工艺。     

复杂地形空气污染预报模式的研究

本文依据一个同时包括地形、热力以及摩擦等因素在内的,能够较真实地反映复杂地形情况下,大气运动基本特征的近地层水平流场二维数值模式,将其扩展成三维模式。在此基础上,从平流扩散方程出发,建立了一个与上述流场相应的浓度场预报模式。经与实测值比较,该预报模式具有较好的可靠性和适用性     

饮用水消毒中一氯胺的衰减动力学研究

对饮用水消毒过程中一氯胺的衰减过程,采用二级反应速率模型对其衰减规律进行了非线性拟合;分别考察了pH值、温度、碳酸盐、溴离子、碘离子和天然有机物(NOM)浓度等水质参数变化对一氯胺衰减速率的影响.结果表明,pH值是影响一氯胺衰减速率的重要因素,pH<7.0时尤为明显;温度和碳酸盐对一氯胺的衰减速率均有明显影响;在pH=6.60时,随着溴离子浓度的增加一氯胺的衰减加快;在pH>7.60,0.1 mg/L的溴离子浓度对一氯胺的衰减影响不明显,碘离子对一氯胺的衰减影响较相同反应条件下溴离子的影响明显.此外,一氯胺衰减动力学模拟结果表明,采用二级动力学反应模型可以较好地拟合在卤素离子(Br-I、-)共存条件下的一氯胺衰减规律,对在沿海地区饮用水消毒工艺中不同条件下氯胺消毒剂浓度预测可以提供一定的理论和技术支持.     

应用CALINE4模式估算机动车排放污染物的浓度——以济南市主干道为例

随着经济的快速发展,机动车排气污染已成为我国城市空气污染的重要来源,而且在一定时段,机动车排气污染已成为空气污染最主要的污染源之一。以济南市经十路为例,采用实地调查的方法,得出各时段的车流量,选用大气环评助手EIAA中的CALINE4模式对机动车尾气中的主要污染物CO、NOx、THC的排放浓度进行估算,得出3种污染物CO、NOx、THC最大值均出现在7:00—8:00之间,最小值均出现在12:00-13:00之间,排放强度由大到小为:CO、THC、NOx。     

海水电磁屏蔽体

目的将海水作为一种电磁屏蔽材料,研究其电磁屏蔽效能以及影响因素。方法基于海水和玻璃的电磁特性参数,并利用电场和磁场切向分量连续边界条件,推导由双层玻璃封装海水所构成的复合电磁屏蔽体结构的屏蔽效能计算公式。结果具有一定厚度和盐度的海水墙体可以展示出良好的电磁屏蔽效能。通过增加海水层的厚度,提高海水的盐度以及温度,均可以有效增强海水电磁屏蔽体的屏蔽效能。改变封装海水的玻璃层厚度,对海水电磁屏蔽体的屏蔽效能影响较小。结论海水可以作为一种有效的电磁屏蔽材料,并具有光波透明、电磁屏蔽效能易重构、可循环导热等独特的优势。在军事和民用领域,海水电磁屏蔽体将具有重要的理论和应用价值。