焚烧飞灰重金属含量及浸出长期变化规律研究

通过对24个飞灰样品的重金属全量消解和高精度X射线荧光光谱法（HDXRF）快速检测结果进行线性回归分析,发现HDXRF法可较准确测定飞灰中Cu、Pb、Zn、Ni和Cd含量（线性回归决定系数R²³0.90）.采用HDXRF法对某焚烧厂飞灰重金属含量6个月快速检测及浸出毒性测定数据统计分析发现：飞灰重金属月均含量较稳定（变异系数CV<0.14）但日均含量波动较大（CV>2.54）;飞灰中Pb、Cu和Zn含量呈正相关（相关系数r>0.78）;金属浸出浓度受浸出液终点pH值影响显著,超标频率依次为Pb（68.9%）、Cd（66.1%）、Ni（24.0%）、Cu（14.2%）和Zn（1.6%）.短期飞灰金属含量和浸出毒性数据受焚烧工况,烟气处理工况和垃圾组分等多种因素共同影响,不具有代表性.为评估垃圾分类源头削减重金属效果,建议采用快速检测方法对焚烧飞灰重金属含量进行长期监测.     

新型厌氧多级喷动床及其厌氧氨氧化脱氮性能分析

为改善厌氧反应器内的流态,加快污泥的颗粒化和形成具有生态梯度的微生物生态系统,设计并制作了新型厌氧多级喷动床,实验测试了反应器的水力喷动、气体喷涌和污泥分层分级现象。在常温下,利用新型厌氧多级喷动床接种混合污泥,经过42 d的培养,成功启动厌氧氨氧化反应器,稳定运行18 d后,NH₄+-N、NO₂--N去除率均达到90%以上。启动60 d后,反应器底部出现大量粒径2 mm左右的颗粒污泥,且污泥具有良好的稳定性和沉降性能,沉降速度达到70 m/h。结果表明:厌氧多级喷动床因其特殊的水力结构,可有效加快污泥的颗粒化。     

基于Stacking的地面PM2.5浓度估算

为了解决地面PM_2.5监测网络在空间和时间覆盖受限的问题,提出了基于宽时空覆盖的卫星气溶胶光学厚度AOD,利用Stacking方法建立地面PM_2.5浓度估算模型,将AOD、PM_2.5和各气象参数以及与PM_2.5排放有关的数据进行训练,使用改进网格搜索对模型超参数进行优化,通过对多重共线性分析,建立基于Stacking的最优PM_2.5浓度估算模型。选取2016-01-01-2016-12-31的数据作为实验对象,结果表明:相比于随机森林、GBRT和XGBoost 3种模型,使用岭回归作为元学习器的Stacking模型性能更优,可见Stacking适用于大范围地理区域的大气污染监测。     

雨水管道沉积物中典型无机氮的干期粒径分布

以南京江北新区分流制雨水管道沉积物为研究对象,考察不同粒径沉积物中铵态氮（NH₃-N）和硝态氮（NO₃^--N）干期分布特征,分析其随干期长度的变化关系,并探讨沉积物理化性质及微生物菌群结构对NH₃-N和NO₃^--N干期分布的影响.结果表明：粒径≤0.075mm的沉积物中NH₃-N占比最高（交通区30.8%,商业区36.7%）;交通区粒径≤0.075mm的沉积物中NO₃^--N占比最高（33.0%）,而商业区粒径0.075~0.15mm沉积物中NO₃^--N占比最高（34.4%）;干期长度与交通区0.075~0.15mm粒径段的沉积物中NO₃^--N含量及商业区粒径≥0.3mm的沉积物中NH₃-N含量之间的相关性均最显著;雨水管道沉积物中NH₃-N和NO₃^--N的干期分布与O-H和N-H等官能团、表面极性和亲水性、微观形貌等有一定关联;交通区雨水管道沉积物中Gemmobacter等反硝化优势菌种（相对丰度总和为20.15%）对NO₃^--N干期分布影响更显著.     

Acceleration of floc-water separation and floc reduction with magnetic nanoparticles during demulsification of complex waste cutting emulsions

Waste cutting emulsions are difficult to treat efficiently owing to their complex composition and stable emulsified structure. As an important treatment method for emulsions, chemical demulsification is faced with challenges such as low flocs–water separation rates and high sludge production. Hence, in this study, Fe₃O₄ magnetic nanoparticles (MNPs) were used to enhance chemical demulsification performance for treating waste cutting emulsions under a magnetic field. The addition of MNPs significantly decreased the time required to attain sludge–water separation and sludge compression equilibrium, from 210 to 20 min. In addition, the volume percentage of sludge produced at the equilibrium state was reduced from 45% to 10%. This excellent flocculation–separation performance was stable over a pH range of 3–11. The magnetization of the flocculants and oil droplets to form a flocculant–MNP–oil droplet composite, and the magnetic transfer of the composite were two key processes that enhanced the separation of cutting emulsions. Specifically, the interactions among MNPs, flocculants, and oil droplets were important in the magnetization process, which was controlled by the structures and properties of the three components. Under the magnetic field, the magnetized flocculant–MNP–oil droplet composites were considerably accelerated and separated from water, and the sludge was simultaneously compressed. Thus, this study expands the applicability of magnetic separation techniques in the treatment of complex waste cutting emulsions.     

Investigation to meet China II emission legislation for marine diesel engine with diesel methanol compound combustion technology

In order to reduce the pollutant emission and alleviate the pressure of petroleum resources shortage and greenhouse gas emission at the same time, the use of clean and renewable alternative fuel for marine engines is a promising option. In this study, a marine diesel engine, which was modified to run in diesel methanol compound combustion (DMCC) mode, was investigated. After the diesel injection parameters were calibrated, and combined with a sample after-treatment device DOC (diesel oxidation catalyst), the engine could meet the requirements of China II legislation. The overall MSP (methanol substitute percent) reached 54.1%. The value of each pollutant emission was much lower than that in China II emission legislation, and there was almost no methanol and formaldehyde emissions. When methanol was injected into the inlet manifold, the intake air temperature decreased a lot, as well as the exhaust gas temperature, which were beneficial to increase engine thermal efficiency and improve engine room environment. Compared with the engine running in pure diesel mode, when the engine ran in diesel/methanol dual fuel mode, the combustion phase was advanced, and the combustion duration became shorter. Therefore, the engine thermal efficiency increased, and fuel consumption decreased significantly.     

不同制备温度下污泥生物炭对Cr(Ⅵ)的吸附特性

以城市剩余污泥为原料,于300,400,500,600 ℃温度条件下制备生物炭,通过单因素静态吸附实验探讨制备温度对生物炭吸附Cr（Ⅵ）的影响。结果表明:在500 ℃以内随着温度上升制备的生物炭对Cr（Ⅵ）的吸附量增加,制备温度高于500 ℃后变化不明显;扫描电镜（SEM）、比表面积（BET）、傅里叶红外光谱（FTIR）表征结果显示,热解温度对生物炭表面形貌和官能团组成有显著影响;等温模型及动力学拟合结果表明,生物炭吸附Cr（Ⅵ）为单分子层吸附、物理-化学复合吸附。热解温度对污泥制备生物炭吸附Cr（Ⅵ）的性能有显著影响,最佳制备温度为500 ℃,在此条件制备的生物炭对Cr（Ⅵ）的理论吸附量可达7.93 mg/g。     

加入SOA示踪的深圳大气PM2.5受体模型源解析

为厘清包括二次有机气溶胶（SOA）在内的深圳市区PM_2.5各种一次和二次来源贡献,本文于2017年9月2日~2018年8月29日在深圳市大学城点位开展PM_2.5样品采集,并进行化学组分和水溶性有机物（WSOM）质谱测量,共获得162组有效数据.观测期间深圳市大气PM_2.5平均质量浓度为26μg/m³,在传统PMF源解析的基础上加入羧基离子碎片（CO₂⁺）作为SOA的示踪物,加入水溶性有机氧（WSOO）用于计算各因子O/C,验证有机物解析效果.结果表明,SOA可以被独立解析出,其O/C明显高于其他一次污染源中有机物;机动车、二次硫酸盐、二次硝酸盐、SOA为最主要的4个源,对PM_2.5质量浓度的贡献分别为25%、23%、17%和10%,船舶、地面扬尘、老化海盐、建筑尘、生物质燃烧、燃煤和工业贡献均在5%以内.各个源的变化特征表明,机动车、二次硫酸盐、二次硝酸盐、SOA等源贡献呈现冬高夏低的季节特征,与冬季季风条件下源自内陆的污染传输密切相关.污染天气时,二次硝酸盐和SOA的贡献增加相对最显著,因此NOx和挥发性有机物是减排的关键.     

污水处理过程专家系统的结构特点与应用研究进展

综述了专家系统在污水处理领域的结构和特点、针对的工艺以及应用现状方面取得的研究成果。重点介绍了专家系统中知识的获取和表示、规则的建立以及与故障树和其他人工智能技术的结合情况,并对专家系统在污水处理工艺选择、运行控制以及故障诊断3个阶段的研究现状进行了细致分析。在此基础上,提出了尚需解决的问题以及进一步研究与发展的方向。