混合堆肥过程中挥发性固体含量的层次效应及动态变化

城市污泥与猪粪混合堆肥表明:升温期和高温期堆体上部有机物降解的差异较大,降温期堆体下部各层有机物降解的差异较大,且堆体内挥发性固体(VS)含量已形成明显的层次效应,腐熟期堆体中部有机物降解的差异较大,堆体内VS含量的层次效应仍很明显;不同堆肥期堆体内VS含量的差异由大到小分别为:降温期≥腐熟期>高温期>升温期,不同部位有机物降解程度由大到小为:上部>中部>下部;VS含量随时间的变化满足一级反应动力学方程,城市污泥和猪粪混合堆肥过程中VS的降解速率约为0.3kg·d^-1,VS含量降低了8.2%.     

木薯乙醇-汽油混合燃料生命周期排放多目标优化研究

建立了木薯乙醇-汽油混合燃料生命周期排放单目标和多目标优化模型.以生命周期CO,NO_x,PM,HC,SO_x,CO₂排放为优化目标,对木薯乙醇-汽油混合燃料生命周期排放进行了单目标及多目标优化,并进行了灵敏度分析.结果表明:多目标优化后木薯乙醇-汽油混合燃料的混合比例为63%.与原始值相比,多目标优化后生命周期CO排放略有升高,NO_x升高15%,PM升高19%;生命周期HC、SO_x和CO₂分别降低8%、50%和21%.     

生活垃圾堆肥分阶段反应动力学研究

根据堆肥不同阶段特点 ,通过接种和不接种堆肥实验 ,分别研究升温 -高温阶段和高温 -降温阶段动力学。从得到的动力学方程分析可知 :接种复合微生物菌剂 ,在升温 -高温阶段最大反应速率比对照组提高约 13 8.7 ;在高温 -降温阶段最大反应速率比对照组大 4.73 g/( h· kg) ,而半速系数 Km比对照组下降了 10 3 g/kg。说明接种复合微生物菌剂不仅使反应速率增大 ,而且使半速系数减小 ,使底物与酶反应更完全 ,有机物分解更迅速、更彻底     

连续流新型厌氧反应器处理固体有机废物研究

采用自行设计的连续流厌氧消化反应器,接种瘤胃微生物后,对纤维素进行连续降解,固体有机物质负荷可以达到14g/L·d。在此符合范围内,反应器内pH值、挥发酸产量及产气量都很稳定,不会对反应产生抑制作用。     

MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

高效液相色谱-串联质谱法同时测定地表水中33种药物

采用固相萃取-高效液相色谱-串联质谱法(SPE-HPLC-MS/MS)建立了地表水中25种抗生素类药物和8种非抗生素类药物的分析方法。通过重点优化质谱参数、色谱条件、样品pH、洗脱溶剂组成及用量等确定了最佳分析条件。水样经过滤、固相萃取柱富集净化后,选择Shim-pack XR-ODS为色谱柱,以乙腈和0.2%甲酸-2 mmol/L乙酸铵-水溶液为流动相进行梯度洗脱,采用电喷雾电离源,在多反应监测模式下(MRM)分析测定,内标法定量。33种药物的仪器定量限为0.012～4.68 ng/L,方法检出限为0.011～7.60 ng/L,地表水加标回收率为53.7%～122%,相对标准偏差为1.22%～32.1%(n=6)。方法成功应用于北京市凉水河12个地表水样分析,共检出32种药物,检出质量浓度为未检出～239 ng/L。利托那韦(RTV)作为新型冠状病毒诊疗方案中推荐的药物在凉水河检出率为100%。     

Volatilization of heavy metals during incineration of municipal solid wastes

Incineration experiments with MSW, which had been impregnated with heavy metals, were presented to obtain information on the volatilization behavior of the elements cadmium (Cd), lead (Pb), and zinc (Zn) under different conditions. Experiments were carried out in a bubbling fluid bed system connected to a customized inductively coupled plasma optical emission spectroscopy(ICP-OES) for analyzing metals in the flue gas. The results indicated that the combustion temperature, the gas atmosphere, and the chlorine content in the flue gas could affect the volatilization behavior of heavy metals. In the fluidized bed combustion, a large surface area was provided by the bed sand particles, and they may act as absorbents for the gaseous ash-forming compound. Comparer with the metals Cd and Pb, the vaporization of Zn was low. The formation of stable compounds such as ZnO.Al2O3 could greatly decrease the metals volatilization. The presence of chlorine would enhance the volatilization of heavy metals by increasing the formation of metal chlorides. However, when the oxygen content was high, the chlorinating reaction was kinetically hindered, which heavy metals release would be delayed.     

Neutron activation analysis of ceramic tiles and its component and radon exhalation rate

IntroductionCeramic,consistofearthymaterialslikeclaykaolin ,limestoneandsandglass .Ceramicmaterialsarenonmetalic ,inorganiccompoundsprimaryoxides ,alsocarbides ,nitridesandsilicides .Twotypesofbondingmechanismsoccurinceramicmaterial ,ionicandcovalent.Theo…     

固体推进剂老化过程影响因素及化学反应机理研究进展

基于固体推进剂的贮存老化,以NEPE推进剂和以HTPB推进剂为代表,综述了近年来固体推进剂老化进程中所受的各种影响因素、作用机制及化学反应机理研究进展。总结了温湿度、应力和环境气氛为代表的外部环境因素,配方性质、组分变化和添加剂等内部影响因素对推进剂老化及贮存失效期限的影响。分别从微观和宏观角度出发,分析了内外部各种影响因素加速或减缓固体推进剂老化进程的作用机制。此外,针对黏合剂、氧化剂、防老剂等化学组分,总结了固体推进剂贮存老化期间发生的氧化交联、分解、降解断链等主要化学反应,并分析了各个反应发生的机理及原因。最后,展望了未来固体推进剂老化影响因素研究的发展趋势,并为今后固体推进剂老化机理及失效模式研究提供了研究思路。     

“无废城市”建设推进政策及措施的国别比较研究

“无废城市”建设已经成为应对城市固体废物（以下简称“固废”）管理挑战的国际趋势，我国也启动了“无废城市”建设试点工作。本文介绍了国际“无废城市”实践的背景和发展趋势，对我国和其他高收入国家的“无废城市”相关政策和具体实施方案进行了对比分析。分析结果表明，“无废城市”的推进政策与实施措施存在国别差异，我国的“无废城市”采纳了“问题导向”的推进策略，而高收入国家则是“目标导向”。最后对进一步推进我国“无废城市”建设试点工作提出了四点建议。