细菌降解非离子表面活性剂的研究

从石油污染的土壤中分离到２株能利用非离子表面活性剂ＡＥＯ－９和ＳＡ－２０作为唯一碳源生长的细菌。这２株菌被定名为假单胞杆菌５２（Ｐｓｅｕｄｏｍｏｎｏｓ５２）和Ｗｅｅｋｓｅｌｌａ６．最适于这２株菌利用非离子表活剂ＡＥＯ－９的培养条件是乙酸胺作为氮源,ｐＨ７．３０℃添加少量葡萄糖促进表活性的降解,降解速率的研究表明,当ＡＥＯ－９的初始浓度为５０００ｍｇ／Ｌ时,５２号菌和６号菌能在２周内将其去除８５％,     

冲突分析理论方法及其在环境管理中的实例研究

对冲突分析的基本概念和原理做了简要介绍,以环境规划管理的的业务为背景,指出冲突问题的广泛存在和研究冲突分析的必要性,并就＂污染集中治理的投资分摊问题＂进行深入地探讨,提出了5种协商解,通过分析比较,推荐＂不次于N－1方合作收益的协商解＂作为一般问题的解,对于同情弱势方的仲裁者,则推荐＂以不合作为现状点的基于满意度的协商解＂。     

型煤燃烧固硫中的温度效应

以氧化钙作为固硫剂的型煤中适当加入Ｆｅ,Ｓｉ添加剂组分,燃烧生成新的固硫体系后进行了２种不同温度条件下的进样实验。１．型煤样品分成６份,进行逐渐升温实验,分别加热到１１７０℃－１２２０℃,温度间隔１０℃,恒温１／４ｈ,２．型煤样品分成７份,进行先升温后进样实验,将加热炉分别升温至要求温度１０００℃－１２２０℃＋后进样,温度间隔５０℃,恒温１／２ｈ,实验表明：在Ｆｅ,Ｓｉ体系的型煤燃烧过程中,当进样     

玉米芯生产单细胞蛋白研究——生产SCP的Candida Boidinii No.2201诱变菌株的筛选

本研究对用玉米芯酸水解液生产ＳＣＰ的ＣａｎｄｉｄａｂｏｉｄｉｎｉＮｏ．２２０１诱变株进行了初步筛选,选出了诱变菌株Ｙ１０８,其产量比原菌种增加２５％左右,达到了２８ｇ／Ｌ～３０ｇ／Ｌ,产品粗蛋白含量为３５％。初步研究表明,利用诱变株Ｙ１０８生产ＳＣＰ有可能成为未来较好的饲料蛋白添加剂     

皖江流域及其以南地区的血吸虫病害度区划

皖江流域及其以南地区是安徽省血吸虫病害的主要区域。本文通过对血吸虫病害的孕灾环境,致灾因子和承灾体的分析,探讨了血吸虫病害的区划指标,并进行了病害度分区。     

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.