废催化剂浸出规律的静态实验方法

利用静态浸出实验方法对废催化剂中重金属在不同固水比和浸出次数条件下的浸出规律进行了系统研究。实验发现浸出次数大于３次后,重金属的浸出浓度和浸出速率趋于稳定,同时固水比的增加也没有明显改变废催化剂中重金属的浸出。认为在浸取次数大于３次以后,随着表面溶质的溶解,浸出过程主要为内扩散所控制。     

Ca/S比小于1条件下半干半湿法烟气脱硫技术的研究

通过对煤中灰分、粉煤灰中碱性物质成分、含量的分析 ,证明在Ca/S小于 1的条件下进行半干半湿法烟气脱硫是可行的。阐述了粉煤灰中碱性物质被有效利用的条件为高温、高湿和高压 ,该条件可以通过蒸汽输送粉煤灰来实现。     

Conversion of waste plastics into value-added carbon materials

Plastic pollution is a major environmental issue worldwide, calling for advanced methods to recycle waste plastics in the context of the circular economy. Here we review methods and strategies to convert waste plastics into value-added carbon materials, with focus on sources, properties, pretreatment of waste plastics, and on preparation of carbon materials. Pretreatment techniques include mechanical crushing, plastic stabilization and electrospinning. Carbon materials such as carbon nanotubes, graphene, carbon nanosheets, carbon spheres and porous carbon are prepared by oxygen-limited carbonization, catalytic carbonization, the template-based method, and pressure carbonization. We emphasize the conversion of polyethene terephthalate, polyethylene, polypropylene, polystyrene, halogenated plastics, polyurethane and mixed plastics.

     

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.     

International experience of green development in Western China: an overall review of policy and practice

Green development emphasizes co-development between economic and environmental dimensions, and is a people-centered sustainable development approach. Western China demands green development, and international experience could provide necessary, unique and important help and support for Western China to achieve its green development goals. This paper has made a comprehensive overall review and analysis of international experience in green development policy and its implementation, in particular, OECD countries’ (mostly Australia and Canada) experience have been analyzed following the major policy foci defined by the Task Force on Strategy and Policies on Environment and Development in Western China initiated by China Council for International Cooperation on Environment and Development (CCICED). Data and information were gathered from the field surveys and investigations, expert meetings, as well as literature review. The main sessions include policy framework and road map establishment, implementation and performance assessment, co-development between economic development and environmental protection, as well as green employment and poverty alleviation. The paper has addressed five policy considerations for the future promotion of green development in Western China.     

燃煤电厂生态电力工业园区建设探讨

燃煤发电是我国煤炭利用的主要渠道,是产生粉煤灰、二氧化硫等污染物的主要来源。利用生态工业学和循环经济原理,对如何实现电厂废物减量化和资源化利用,合理设计生态工业链以及如何建立生态电力工业园,实现电厂可持续发展等问题进行了探讨。     

羟基杀灭赤潮裸甲藻研究

羟基自由基水溶液杀灭赤潮微生物裸甲藻的实验。海水羟基比值浓度达到0.68mg/L时,裸甲藻、细菌从0.89×104/mL、5.2×105/mL减少到低于检测方法的低限值;羟基水溶液比值浓度达到0.6mg/L时,微生物的叶绿素a、类胡萝卜素含量均低于检测方法的最低限值。实验数据表明羟基是治理赤潮的绿色有效方法。     

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。     

The integration of HAZOP expert system and piping and instrumentation diagrams

The main purpose of hazard and operability (HAZOP) analysis is to identify the potential hazards in the process design which nowadays is generally developed through a computer aided design (CAD) package. Due to the time and effort consuming nature of HAZOP, it is not done in every engineering firm for every design project. To make HAZOP an integral part of process design, an integration framework is proposed in this paper to seamlessly integrate the commercial process design package Smart Plant P&ID (SPPID, Intergraph) with one of the HAZOP expert systems (named as LDGHAZOP) developed by authors. This integration makes it possible to perform HAZOP analysis easily at anytime of the whole lifecycle of a chemical plant as long as the process design is available, which might help the improvement of design quality. One industrial case study is used to illustrate the ability of the integrated system.     

卷烟企业安全检查考核管理模式研究

安全检查考核是解决企业安全生产过程中存在的问题,有效预防安全事故发生的重要环节和有效手段。根据《国家烟草专卖局关于认真落实国务院办公厅进一步推进安全生产＂三项行动＂通知的通知》和《烟草行业安全生产工作要点》等一系列文件精神和要求,明确安全管理目标和任务指标,认真落实安全生产责任制,严格执行安全生产监管考核机制,结合滕州卷烟厂的实际情况,提出了卷烟企业安全检查考核管理模式。