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。     

长江三角洲地区对流层臭氧的数值模拟研究

将NCAR的中尺度天气预报模式MM5和作者开发的化学模式相耦合,建立了一个中尺度区域空气质量模式.利用该模式选取了2个典型个例研究了长江三角洲地区的区域臭氧化学问题.本研究的目的是利用模式再现并描述长江三角洲地区的大气物理化学过程,结合地面观测资料进一步定量分析控制该地区臭氧浓度的物理和化学因子.通过个例模拟和分析表明,模式基本反应了长江三角洲地区的大气物理化学过程,进一步的因子分析解释了模拟区域内1999 06 18(个例2)臭氧浓度普遍比1999 08 07(个例1)的臭氧浓度高的原因.模拟结果表明天气条件决定的大气动力过程对区域空气质量起着至关重要的作用,这也是个例2区域臭氧浓度普遍偏高的最主要因素之一.分析表明,物理因子(平流输送,垂直湍流输送)的作用和化学因子的作用同样重要.同时还做了模式参数的敏感性实验研究,并对中尺度云雨化学模拟及其对臭氧化学的影响做了初步研究.     

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。