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。     

聚酰胺微塑料对大肠杆菌和脱氮副球菌的毒性

微塑料对环境微生物的毒性尚不清楚.本研究通过生长曲线测试、活性氧(ROS)生成、无机氮转化效率和塑料添加剂检测,探究了聚酰胺(PA)微塑料对典型环境微生物—大肠杆菌和脱氮副球菌生长的影响.PA微塑料对大肠杆菌的毒性与其浓度呈正相关,高浓度PA(100mg·L-1)微塑料对大肠杆菌和脱氮副球菌的生长均产生了显著抑制,胞内...     

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。     

Lead adsorption capacities of different components in natural surface coatings

Pb adsorption capacities of Fe oxide, Mn oxide and organic materials in natural surface coatings (biofilms and associated minerals) collected in three lakes, two ponds and a river in Jilin Province, China and Cayuga Lake in US were studied. A novel extraction technique was employed to remove one or more component(s) from the surface coatings. Pb adsorption to surface coatings before and after extraction was performed to determine the adsorptive properties of the extracted component(s). The statistical analysis of observed Pb adsorption was carried out using nonlinear least squares fitting (NLSF) to estimate the Pb adsorption capacity of each component of surface coatings. For each body of water, the estimated Pb adsorption capacity of Mn oxide( mol Pb/mol Mn) was significantly higher than that of Fe oxide( mol Pb/ mol Fe). The value of estimated adsorption capacities of organic materials with the unit mol Pb per kg COD was similar to or less than that of Fe oxides with the unit mol Pb per mol Fe. Comparison of components of surface coatings in different waters showed that the estimated Pb adsorption capacities of components in surface coatings developed in different natural waters were different,especially for Mn oxides.     

基于我国物种毒性数据的多溴联苯醚预测无效应浓度分析

采用多溴联苯醚(PBDEs)对我国广泛分布生物物种的生态毒性数据,根据欧盟现有化学物质风险评价技术指导文件,对不同环境介质中PBDEs预测无效应浓度(PNEC)进行了推导。结果表明:我国淡水环境PBDEs(四溴、五溴、八溴)的PNEC水分别为50μg·L~(-1)、0.53μg·L~(-1)、0.017μg·L~(-1)。沉积物环境PBDEs(四溴、五溴、八溴和十溴)的PNEC沉积物分别为823.35 mg·kg~(-1)wt、1.55 mg·kg~(-1)dw、12.72 mg·kg~(-1)dw、38.41 mg·kg~(-1)dw。土壤环境PBDEs(四溴、五溴、八溴和十溴)的PNEC土壤分别为668.3mg·kg~(-1)wt、0.38 mg·kg~(-1)dw、147 mg·kg~(-1)dw、98 mg·kg~(-1)dw。次生毒性PBDEs(五溴、八溴和十溴)的PNEC经口分别为0.3~0.7 mg·kg~(-1)、0.56 mg·kg~(-1)、2 500 mg·kg~(-1)。该数值期为我国PBDEs的环境风险评价提供科学基础。