Minimum ignition energy of LDPE dust/ethylene hybrid mixture

An experimental device for evaluating the minimum ignition energy (MIE) of LDPE dust/ethylene hybrid mixture was built with the innovative mixing mode. The MIE of the hybrid mixture that contained ethylene below its lower explosive limit (LEL) was studied. The result indicated that adding a small amount of ethylene significantly reduced the MIE of the original dust cloud. All the MIEs with five different particle sizes were found to show similar trends of exponential attenuation with the increase of ethylene concentration; such attenuating effect grew as the dust particle size rose. When ethylene concentration increased and approached to its LEL, the reaction mechanism dominated by combustible dust turned into one dominated by combustible gas. The MIE decreased first and then increased with the dust mass and increased with the dust particle size. A multifactor mathematical correlation model of the MIE with the dust particle size and ethylene concentration was developed.     

A review of textile industry: Wet processing,environmental impacts,and effluent treatment methods

The word “textile” means to weave and was taken from the Latin word “texere.” Nowadays, textiles not only fulfill humankind's basic necessity for clothing, they also allow individuals to make fashion statements. As one of the oldest industries, the textile industry occupies a unique place in India. It is responsible for 14% of the total industrial manufacture in India. However, the textile industry is also considered to be one of the biggest threats to the environment. Pretreatment, dyeing, printing, and finishing operations are among the various stages of the industrial textile manufacturing process. These fabrication operations not only utilize huge quantities of power and water, they also generate considerable amounts of waste. The textile industry utilizes a number of dyes, chemicals, and other materials to impart the required qualities to the fabrics. These operations produce a significant amount of effluents. The quality of effluents is such that they cannot be put to other uses, and they can create environmental problems if they are disposed of without appropriate treatment. This review discusses different textile processing stages, pollution problems associated with these stages, and their eco‐friendly alternatives. Textile wet processing is described in detail, as it is the key process in the industry and it also generates the greatest amount of pollutants in textile processing. The environmental impact of textile effluents is discussed, as textile effluents not only impose negative effects on the quality of water and soil, they also imperil plant and animal health. In this paper, various methods for treating textile effluents are described. Discussion of physical, chemical, biological, and advanced treatment technologies of effluent treatment are included in this paper.     

手烧型燃煤锅炉和工业炉窑烟尘污染的防治对策

众多手烧型锅炉和工业炉窑废气排放是造成城市空气严重污染的主要原因。本文通过剖析燃煤产生烟尘的机理,现有烟尘控制技术以及不同炉窑的工艺情况,提出手烧型燃煤锅炉、工业炉窑烟尘污染防治措施。     

论清洁生产向工业生态学的转变

清洁生产为建立清洁的生产工艺和产品提供了理论基础和实践经验。但由于主要致力于具体的工业过程控制,不考虑工业系统间的相互连接,对于减缓整体的环境影响的作用不十分显著。以工业代谢、生命周期评价和生态工业园建设为研究方法,于９０年代兴起的工业生态学（生态循环）既清洁生产的扩展,也是产业界实现可持续发展的理论基础,也是新一轮产业革命的发展的具体行动计划。     

示波极谱滴定法测定工业废水中的氰化物

在ｐＨ为１０３的氯化铵氨水底液中,使氰化物与Ｎｉ２＋离子形成稳定物〔Ｎｉ（ＣＮ）４〕２－络离子,过量的Ｎｉ２＋离子用标准ＥＤＴＡ溶液返滴,以Ｎｉ２＋离子在交流示波极谱图上的切口消失指示滴定终点,废水的色度、浊度等对测定不产生干扰,无须进行预蒸馏处理,操作简便,快速。方法的相对偏差小于１０％,变异系数小于０７％,水样的加标收率为９６～１０７％。     

稳健GM(1,1)模型在工业固废产生量预测中的应用

本文提出了稳健灰色模型,并用该模型建立了山东省工业固体废物产生量数学模型。结果表明,稳健ＧＭ（１,１）模型比通常的ＧＭ（１,１）模型更具预测应用价值。     

硫化碱脱除二氧化硫工业烟气的可行性分析

分析了国内外烟气脱硫的研究现状,论述了用硫化碱脱除二氧化硫化工业烟气在理论上和实验上的可能性。     

电化学法处理含盐染料废水

研究了电化学法处理含盐染料废水的可行性及其处理效果．结果表明,电化学法对废水的色度和COD具有良好的去除效果,电解过程中余氯的产生对色度和COD的去除有决定性作用．实验确定的高浓度含盐废水电化学处理条件为：电流密度0．017A/cm²,电压10．3V,平均电导率12．35ms/cm,电解60min,色度和COD的去除率分别为85％和99．8％．电解过程无难以继续反应的中间产物生成．     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

工业锅炉检验的节能减排

本文通过对锅炉的整个运行过程的检验,方面普遍存在的问题,在分析大量文献资料的基础上,术。针对各个环节进行分析,总结了工业锅炉在节能减排结合实际工作经验,提出了一些节能减排的方法和技术。