柴油机排气微粒过滤催化处理技术及进展

介绍了柴油机微粒后处理催化捕集器特点 ,评述了过滤器催化再生方法 ,综述了蜂窝陶瓷载体涂层及催化剂活性组分研究现状。重点阐述了微粒再生催化剂研究进展及其发展趋势     

大气二氧化硫浓度的光学测定方法

介绍了测定二氧化硫浓度的几种光学方法 ,指出了目前一些化学方法的局限性 ,特别对紫外荧光法的原理、二氧化硫的吸收光谱以及荧光光谱进行分析探讨 ,设计了实验分析系统 ,得出该方法具有操作简单、灵敏度高、可实时在线的智能化优点 ,将会成为今后研究的主导方向。     

STW型生态土壤稳定剂改性土强度试验研究

对STW型生态土壤稳定剂改性重塑土在不同掺量、不同制备方法及不同养护条件下的强度变化进行了试验研究。试验结果表明:STW型生态土壤稳定剂对重塑土无侧限抗压强度具有明显的增强效果,并与试样的制备方法、稳定剂掺量及养护条件有关;5%的掺入量改性效果最佳;在室温下养护72小时其强度提高幅度最大。同时,还对STW型生态土壤稳定剂土质改性机理进行了分析。     

关于环境工程数字化转型的思考

通过分析当前数字化转型现状,结合我国装备环境工程数字化过程中存在的问题,阐明了环境工程数字化中“工作活动数字化、环境数字化、环境效应数字化、服务产品数字化”的内涵,分析提出了以环境基础数据、环境数据中台和环境数据服务为核心的环境工程数字化架构及实施思路,论述了温度、振动、腐蚀等典型环境及环境效应的数字化建模方法,并对环境工程数字化在战略筹划、数字化协同设计和数实结合的数字化试验鉴定等方面进行了展望。     

用上流式生物反应器降解甲基叔丁基醚

用上流式生物反应器（UFBR）降解甲基叔丁基醚（MTBE）,研究了水力停留时间（HRT）和进水中MTBE质量浓度对MTBE去除率的影响。实验结果表明：在进水中MTBE质量浓度为25mg／L、HRT为18．6h的条件下,MTBE的去除率为84．13％;在HRT为18．6h、进水中MTBE质量浓度低于15mg／L的条件下,MTBE的去除率达92％以上。UFBR符合Eckenfelder动力学模型。     

提高大学生的安全防范意识之途径

受社会各种因素的影响，不良的思想在不断侵袭高校这块阵地，大学生的违法犯罪案件在高校中时有发生。从近几年高校发生的各种案件来看，从外部犯罪滋扰逐渐转移到内部犯罪增多；从本能和直接犯罪逐渐演变为心理障碍犯罪。因此，大学生要树立安全防范意识，养成良好的自觉遵纪守法意识，要做到“五到位”，即：领导到位、宣教到位、监管到位、防范到位和养成到啦。     

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured Parzen Estimator

● Hybrid deep-learning model is proposed for water quality prediction. ● Tree-structured Parzen Estimator is employed to optimize the neural network. ● Developed model performs well in accuracy and uncertainty. ● Usage of the proposed model can reduce carbon emission and energy consumption. Anaerobic process is regarded as a green and sustainable process due to low carbon emission and minimal energy consumption in wastewater treatment plants (WWTPs). However, some water quality metrics are not measurable in real time, thus influencing the judgment of the operators and may increase energy consumption and carbon emission. One of the solutions is using a soft-sensor prediction technique. This article introduces a water quality soft-sensor prediction method based on Bidirectional Gated Recurrent Unit (BiGRU) combined with Gaussian Progress Regression (GPR) optimized by Tree-structured Parzen Estimator (TPE). TPE automatically optimizes the hyperparameters of BiGRU, and BiGRU is trained to obtain the point prediction with GPR for the interval prediction. Then, a case study applying this prediction method for an actual anaerobic process (2500 m³/d) is carried out. Results show that TPE effectively optimizes the hyperparameters of BiGRU. For point prediction of COD_eff and biogas yield, R² values of BiGRU, which are 0.973 and 0.939, respectively, are increased by 1.03%–7.61% and 1.28%–10.33%, compared with those of other models, and the valid prediction interval can be obtained. Besides, the proposed model is assessed as a reliable model for anaerobic process through the probability prediction and reliable evaluation. It is expected to provide high accuracy and reliable water quality prediction to offer basis for operators in WWTPs to control the reactor and minimize carbon emission and energy consumption.     

Translocation and biotoxicity of metal (oxide) nanoparticles in the wetland-plant system

• Aquatic plants are more likely to absorb TiO₂ NPs that are beneficial to them. • Ag NPs inhibited the growth of aquatic plants under both 5- and 60-day exposure. • CeO₂ NPs had positive/negative impact on plant in 5/60-day exposure, respectively. • TiO₂ NPs presence could enhance the photosynthesis and increase the plant biomass. • The ENPs changed plant activity, which resulted in changes of wetland performance. Engineered nanoparticles (ENPs) threaten the environment through wastewater discharging. Generally, constructed wetlands (CWs) are efficient methods for ENPs removal. However, the biotoxicity of ENPs on plants in CWs is unclear. Here, we investigated the distribution and bio-impacts of different ENPs (Ag NPs, TiO₂ NPs, and CeO₂ NPs) in plants under 5- and 60-day exposure to 1 and 50 mg/L concentrations. Results showed that ENPs appeared in the vascular bundle and mesophyll cell space, which induced the variation in antioxidase activities (e.g., superoxide dismutase [SOD], peroxidase [POD], and catalase [CAT] activities) as well as overproduction of malondialdehyde (MDA). Additionally, Ag NPs inhibited photosynthesis rate and root activity during two exposure phases. CeO₂ NPs had positive and negative impacts on plants in 5- and 60-day exposure, respectively. Inversely, TiO₂ NPs enhanced photosynthesis and root activity under 60-day exposure. Finally, the contents of the C, N, and P elements in plants fluctuated in response to ENPs stress. All results have a positive correlation with the wetland performance under ENPs exposure except for TiO₂ NPs treatment. Overall, our study systematically reveals aquatic plants' responses to ENPs and provides a reference for building ecological treatment systems to purify wastewater containing ENPs.     

Ni/Fe双金属降解四氯化碳和四氯乙烯的对比试验

以四氯化碳(CT)和四氯乙烯(PCE)为目标污染物,以批试验方法研究Ni/Fe双金属对CT和PCE的还原性脱氯.结果表明:Ni/Fe双金属可有效去除水中的CT和PCE;Ni/Fe双金属对CT和PCE的降解反应均符合准一级反应动力学方程;在相似的反应条件下,Ni/Fe双金属对CT和PCE脱氯的反应速率常数(kobs)之比为1.48和1.67,说明Ni/Fe双金属对CT的脱氯速率要快于对PCE的脱氯速率;Ni/Fe双金属可对PCE完全脱氯,但对CT脱氯过程中产生少量三氯甲烷(TCM).     

异相类Fenton氧化处理T酸废母液的催化剂

为了比较黄铁矿、钛铁矿、磁铁矿、钒钛磁铁矿、零价铁以及亚铁催化双氧水氧化处理T酸废母液的效能,研究了不同体系的催化氧化反应动力学以及pH值变化情况,考察了H2O2投加量、催化剂投加量及循环利用次数的影响.研究结果表明,黄铁矿、钛铁矿催化活性较亚铁离子更好,且受废水pH值变化影响小,T酸废母液TOC去除率高达75%左右,是十分有效的类Fenton反应催化剂.钛铁矿催化活性较黄铁矿好,重复利用5次,TOC去除率依然保持在72%以上,表明钛铁矿有着很好的重复利用性.