渤海大沽河河口底质-水界面耗氧特性

通过对天津大沽河河口底质-水界面细菌降解有机物的耗氧模拟实验,研究河口底质生物耗氧机制。探讨了底质-水界面有机物的耗氧特点及总耗氧中生物耗氧和非生物耗氧所占比例。通过底质-水界面细菌种类、数量、有机物和无机物的含量来判断细菌对含碳源、氮源的有机物的作用。结果表明,20℃,0～14h内,实验期间内平水期河口底质-水界面的生物耗氧和非生物耗氧的比例分别为82 1%和17 9%。异养细菌与有机物及营养盐有较好的正相关关系。河口底质-水界面中异养细菌的组成以革兰氏阳性菌为主,占66%,革兰氏阴性菌只占34%。      

智能型防碰天车装置的安全可靠性分析

针对目前油田钻井现场使用的智能型防碰天车装置存在一些安全问题，分析了问题的实质是设计测量精度和安全可靠性不高。提出了具体改进设计的方案与意见。     

Mechanism and characterization of microplastic aging process: A review

● Methods for estimating the aging of environmental micro-plastics were highlighted. ● Aging pathways & characterization methods of microplastics were related and reviewed. ● Possible approaches to reduce the contamination of microplastics were proposed. ● The prospect and deficiency of degradable plastics were analyzed. With the increasing production of petroleum-based plastics, the problem of environmental pollution caused by plastics has aroused widespread concern. Microplastics, which are formed by the fragmentation of macro plastics, are bio-accumulate easily due to their small size and slow degradation under natural conditions. The aging of plastics is an inevitable process for their degradation and enhancement of adsorption performance toward pollutants due to a series of changes in their physiochemical properties, which significantly increase the toxicity and harm of plastics. Therefore, studies should focus on the aging process of microplastics through reasonable characterization methods to promote the aging process and prevent white pollution. This review summarizes the latest progress in natural aging process and characterization methods to determine the natural aging mechanism of microplastics. In addition, recent advances in the artificial aging of microplastic pollutants are reviewed. The degradation status and by-products of biodegradable plastics in the natural environment and whether they can truly solve the plastic pollution problem have been discussed. Findings from the literature pointed out that the aging process of microplastics lacks professional and exclusive characterization methods, which include qualitative and quantitative analyses. To lessen the toxicity of microplastics in the environment, future research directions have been suggested based on existing problems in the current research. This review could provide a systematic reference for in-depth exploration of the aging mechanism and behavior of microplastics in natural and artificial systems.     

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.     

水产养殖自身污染及其生物修复技术

介绍了生物修复的概念、水产养殖存在的自身污染问题及其主要生物修复技术。营养物污染、药物污染和底泥富集污染是水产养殖存在的主要自身污染问题；微生物修复、水生植物修复和水生动物修复是污染养殖水域生物修复的3种主要形式；微生物的有效性、生物入侵、二次污染、修复生物的季节性和非水生植物的利用等方面是实施生物修复应注意的主要方面。最后指出，推行清洁生产、实行生态养殖是水产养殖业可持续发展的出路。     

电子废弃物中持久性有机污染物分析检测方法的研究进展

针对目前电子废弃物中持久性有机污染物(POPs)尚未形成有效快速分析检测方法的问题,介绍了溶剂萃取、固相萃取、微波萃取和超临界流体萃取等POPs前处理技术的研究进展,总结了POPs的分析方法,如:气相色谱、液相色谱、气相色谱-质谱法、高分辨率气相色谱-高分辨质谱法等化学分析方法,以及生物传感器测定法、表面胞质团共振检测法、酶联免疫检测法等生物分析方法。分析了各方法的优劣,并提出了展望。     

石英砂和陶粒双层滤料的综合过滤试验及比较

试验表明石英砂和陶粒组成的双层滤料滤池,其净水处理性能明显好于石英砂和无烟煤双层滤料以及单层石英砂滤料滤池,特别是出水浊度、微絮凝作用、反冲洗耳恭听周期、藻类的去除、絮凝剂的使用量等指标上具有明显优势.     

塔里木油田库尔勒生活基地生活垃圾处理现状与对策探讨

对塔里木油田库尔勒生活基地生活垃圾的处理现状和主要构成进行调查后,结合所在城市生活垃圾的处理方式,提出库尔勒生活基地生活垃圾"分类收集与回收利用"的途径,分析了实施中可能存在的问题,探讨了具体的对策,强调要从加强环保宣传、明确管理部门责任、完善回收设施、采用半市场化处理的对策思路。     

重大自然灾害后遗体处置应急预案研究

重大自然灾害发生后一般都会伴随着大量人员的遇难,及时妥善处置灾后众多遇难者遗体,是许多国家面临的棘手问题。借鉴我国唐山7.8级地震和汶川8.0级地震中遗体应急处置的经验与教训,从遗体的搜集、存放、运输、消毒、防腐、保存、火化、掩埋等方面,探索遗体处理应急预案的程序与内容,从而提高政府应对重大自然灾害后大量遗体的应急处置能力,全面保障灾区群众的身心健康。