不同泥龄下活性污泥絮体性状的研究

采用序批式反应器对不同泥龄下污泥絮体的化学性状(胞外聚合物成分及含量)、物理性状(表面电荷)、形态性状(粒度分布、分形维数)等进行了对比研究.结果表明:泥龄对胞外聚合物总量及各组分含量的影响规律并不明显;多糖/蛋白质愈大,污泥絮体表面电负性愈强;污泥絮体的平均粒径随泥龄的延长呈逐渐减小的趋势,且粒度分布愈来愈均匀;不同泥龄下,污泥絮体形态结构亦不相同,泥龄短时,絮体表面粗糙,结构开放疏松;泥龄长时,絮体表面平滑,结构紧凑;随着泥龄的增大,絮体分形维数逐渐增加.由于不同泥龄下所表现出的污泥絮体性状的差异,直接影响了污泥的絮凝和沉降性能.     

不同来源太湖沉积物粒径分布及其对Cu的吸附特征

以不同来源的太湖沉积物为研究对象,利用Mastersizer 2000型激光粒度分析仪测定沉积物的粒度组成,利用筛析法和吸管法对不同来源沉积物进行分级,测定不同粒径沉积物中Cu含量及不同粒径沉积物对Cu2＋的饱和吸附量,研究沉积物对水溶液中Cu（Ⅱ）的吸附特性,从粒径分级和动力学角度探讨了太湖沉积物对Cu的吸附机理。结果表明：太湖沉积物粒径范围在0.002-0.1 mm,其颗粒组成以粉砂级与粘粒级为主,养殖区沉积物小粒径比例较高,小于0.05 mm粒径沉积物的比例为82.45%;吸附实验研究表明,粒径小于0.005 mm和0.005-0.01 mm沉积物中Cu含量较高,且此粒径沉积物对Cu（Ⅱ）的吸附量最大;吸附动力学研究表明,沉积物的吸附过程分为快反应和慢反应两个阶段,且吸附过程以表面吸附为主,伪二级动力学方程对动力学曲线拟合较好,其R2值达0.999以上。吸附热力学的研究结果表明：Freundlich方程比较适合描述沉积物对Cu2＋的吸附等温线,其R2大于0.99,对照区、养殖区和生活污水区沉积物对Cu（Ⅱ）的最大吸附量分别为229.20,249.98,261.20 mg.kg-1,方程式中的强度因子1/n不适合描述沉积物与重金属离子的结合能力。     

天然沸石对土壤镉及番茄生物量的影响

为了探索沸石对轻度镉污染土壤的修复效果及对番茄生长的影响,利用盆栽试验研究了不同沸石添加量及不同沸石粒级等因素对不同生长时期番茄（Solanum lycopersicum）植株生物量、果实产量和土壤镉质量分数的影响。结果表明,添加沸石均不同程度地提高不同生长期番茄地上部生物量和果实产量;每千克土壤添加10 g的大粒级（MX）沸石使得土壤全镉和有效镉增加最多,同时也使番茄果实增产最多,每千克土壤添加18 g的小粒级（MN）沸石使得土壤全镉质量分数有所降低,土壤有效镉质量分数增加最少,同时也可使番茄果实增产42.9%以上。小粒级（MN）沸石为削减土壤重金属镉的最佳沸石粒级,18 g.kg-1为削减土壤重金属镉的最佳沸石添加量。     

X-荧光光谱法在土壤调查中的应用

采用硼酸镶边、垫底压制土壤粉末样品,用X-荧光光谱仪分析其中铜、铅、铬、锌、镍等元素浓度。主要讨论了样品粒度对分析元素测定结果的影响。分析了标准样品及实际样品,其结果与标准值及化学法、原子吸收法测定结果相吻合。用土壤标准物质作精密度试验,统计结果表明,各组分RSD均小于3.74%。     

典型抗生素在多孔介质中迁移特性的对比研究

为系统探究抗生素在饱和多孔介质中的迁移行为,选取两类典型抗生素—磺胺类(Sulfonamides, SAs)和氟喹诺酮类抗生素(Fluoroquinolones, FQs),通过室内砂柱迁移实验,重点对比研究了水化学条件及介质粒径对两类抗生素迁移的影响.结果表明,不同种类抗生素在饱和石英砂多孔介质中的迁移特性不同.在实验pH(5.6～9.5)条件下,低解离常数使得SAs多以带负电形态出现,因静电斥力导致SAs在石英砂介质中具有强迁移能力,流出液中SAs回收率>97%;pH、离子强度(NaCl、CaCl₂)及介质粒径对抗生素的迁移无显著影响.FQs多呈阳离子形态及两性形态,受静电引力控制,FQs迁移能力相对较弱,但移动性随溶液pH升高而增大,NaCl和介质粒径对FQs迁移影响不显著,竞争吸附导致高浓度CaCl₂促进FQs迁移能力.本研究结果阐明了SAs和FQs在多孔介质中不同水化学条件(pH、NaCl及CaCl₂离子强度)下及不同介质粒径中的迁移过程,可为抗生素环境风险的预测和评估及污染修复提供指导.     

城市区域大气颗粒物的健康效应研究

从大气颗粒物的来源和转化、人体损伤及毒理学角度3个方面探讨了其对人体健康效应的影响。结果表明,次微米和纳米粒径级别的大气颗粒物及其化学组成能在最大程度上损伤人体机能。粒径不一的颗粒物有不同的沉积机制、沉积部位和沉积量,化学价态是重金属离子毒性大小的首要因子。从次微米级水平来研究颗粒物的毒性,才能为制定更为有效的大气颗粒物污染防治措施以及在研究大气颗粒物对人体损伤机理方面提供相应的科学依据。     

Effects of vacuum levels,carbon dioxide,and structural sizes of linked vessels on dump vessel vented

The method of explosion venting is widely used in industrial explosion-proof design due to its simple operation, economical and practical features. A dump vessel vented platform was built. By changing the vacuum level and the gas in the dump vessels and the structural size of linked vessels, the pressure in the explosion vessel and the dump vessel was compared, and the influencing factors of explosion venting investigated. The main conclusions are as follows: In the explosion venting process, the higher the vacuum in the dump vessel, the smaller the pressure peak of the explosion vessel and the dump vessel, and the faster the explosion pressure is lowered. When the dump vessel is under the same vacuum level and the gas in the dump vessel is CO₂, the maximum pressure of the explosion vessel and the dump vessel is less than the maximum pressure when the containment medium is air. Under the same vacuum condition, the larger the volume ratio of the dump vessel and the explosion vessel, the smaller the pressure peak of the explosion vessel, the faster the explosion pressure drops, and the volume of the dump vessel reaches or exceeds the explosion vessel. Increasing the volume ratio of the containment vessel to the explosion vessel facilitates protection of the explosion vessel and the containment vessel. Under the same vacuum condition, when the gas explosion in 113 L vessel vents into 22 L vessel, the longer the length of the pipe, the greater the maximum pressure in the spherical vessel. When the gas explosion in 22 L vessel vents into 113 L dump vessel, as the pipeline grows, the maximum pressure in the two vessels decreases, but the reduction is not significant. In practical application, it is recommended to use a vacuum of 0.08Mpa or more for the dump vessel vented, and the containment medium is CO_2.In terms of the structural size of the container, it is recommended that the ratio of the receiving container to the explosion container be as large as possible, and the pipe length be as long.     

Kinetic free mathematical model for the prediction of Kst values for organic dusts with arbitrary particle size distribution

Risk mitigation in production facilities has been an issue of great interest for decades, especially in activities which represent a serious hazard to human health, environment and industrial plants. Dust explosions are a major hazard in many industrial processes: only in the first part of 2019 (January–June) 34 dust explosions, mainly due to organic powders, occurred worldwide. An explosion may take place whenever there is the presence of combustible dusts, which are frequently generated by activities such as grinding, crushing, conveying and storage. Currently, a relatively expensive experimental test, carried out into a 20-L Siwek apparatus, is used to address the order of magnitude (class) of explosive dust: this piece of information is referred to as the deflagration index, K_st. At the current state, only a few pioneering models have been developed in order to predict the value of the K_st as a function of some relevant properties of the dust: e.g. particle size distribution (PSD), humidity, thermal conductivity, etc‥ Most of these models condense the information about the PSD of a given dust into an average value, referred to as D₅₀. In this work, a kinetic free mathematical model aimed at predicting the deflagration index for organic dusts is presented. This model, unlike the older ones, considers the whole particle size distribution for the computation of the deflagration index. In order to be implemented, only a single experimental K_st value (which works as a reference) and a particle size analysis on the dust are required. The model was validated using the whole granulometric distribution of three different organic powders (fosfomycin, sugar and niacin). In addition, the same estimations were done by considering only the D₅₀ data. It was noticed that, for highly polydispersed dusts, results were less accurate with respect to those obtained using the complete PSD, highlighting the importance of considering a complete granulometric distribution for process safety purposes.     

A methodology for calculating sample size to assess localized corrosion of process components

This paper proposes a methodology to estimate the required sample size to assess, with a specified precision, the localized corrosion of process components. The proposed methodology uses the extreme value and bootstrap methods. The results of estimated sample size ensure that the predicted maximum localized corrosion with the extreme value method is within an acceptable margin of error at a specified confidence level. Using the results of the proposed methodology, an equation is introduced to calculate sample size as a function of the acceptable margin of error, the population size, the standard deviation of corrosion data and the required confidence level. The probability of exceedance of critical limit of localized corrosion is also estimated. The methodology is explained through a case study of localized corrosion in process piping.     

Explosion pressure prediction via polynomial mathematical correlation based on advanced CFD Modelling

Computational Fluid Dynamics CFD can be used as a powerful tool supporting engineers throughout the steps of the design. The combination of CFD with response surface methodology can play an important role in such cases. During the conceptual engineering design phase, a quick response is always a matter of urgency. During this phase even a sketch of the geometrical model is rare. Therefore, the utilisation of typical response surface developed for congested and confined environment rather than CFD can be an important tool to help the decision making process, when the geometrical model is not available, provided that similarities can be considered when taking into account the characteristic of the geometry in which the response surface was developed. The present work investigates how three different types of response surfaces behave when predicting overpressure in accidental scenarios based on CFD input. First order, partial second order and complete second order polynomial expressions are investigated. The predicted results are compared with CFD findings for a classical offshore experiment conducted by British Gas on behalf of Mobil and good agreement is observed for higher order response surfaces. The higher order response surface calculations are also compared with CFD calculations for a typical offshore module and good agreement is also observed.