The effect of carbonate and biochar on carbon and nitrogen losses during composting

Journal of Material Cycles and Waste Management - Limited options and high prices have limited the application of additives in composting. The effect of applying carbonate (SRC) and biochar (BC) to...     

火灾事故时人员避灾策略的研究进展

对火灾事故时人员避灾策略的研究进展进行了评述,介绍了火灾探测技术、火灾中人员进灾的一般行为模式、火灾时最佳避灾路线的选择以及火灾时系统的控制决策等领域的研究现状,并对火灾事故时人员避灾策略的未来发展进行了展望。     

西藏古乡沟泥石流模型试验研究

通过模型试验，研究不同类型（粘性、稀性、水石流）和不同规模（Ｐ＝２％、４％）的泥石流在古乡沟堆积扇上的运动和冲淤规律，同时进行防治工程模型试验研究，结合野外调查和资料对比，选择合理的防治工程方案，为工程设计提供可靠的依据和数据。本文结论对川藏公路与古乡沟类似灾害的整治有一定的参考价值     

Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks

● Reducting the sampling frequency can enhance the modelling process. ● The pyrolysis of HDPE was investigated at three different heating rates. ● The average E_a and k₀ were calculated by Friedman, KAS, FWO, and CR methods. ● ANN was employed to predict the HDPE weight loss with the optimal MSE and R². Pyrolysis is considered an attractive option and a promising way to dispose waste plastics. The thermogravimetric experiments of high-density polyethylene (HDPE) were conducted from 105 °C to 900 °C at different heating rates (10 °C/min, 20 °C/min, and 30 °C/min) to investigate their thermal pyrolysis behavior. We investigated four methods including three model-free methods and one model-fitting method to estimate dynamic parameters. Additionally, an artificial neural network model was developed by providing the heating rates and temperatures to predict the weight loss (wt.%) of HDPE, and optimized via assessing mean squared error and determination coefficient on the test set. The optimal MSE (2.6297 × 10⁻²) and R² value (R² > 0.999) were obtained. Activation energy and pre-exponential factor obtained from four different models achieves the acceptable value between experimental and predicted results. The relative error of the model increased from 2.4 % to 6.8 % when the sampling frequency changed from 50 s to 60 s, but showed no significant difference when the sampling frequency was below 50 s. This result provides a promising approach to simplify the further modelling work and to reduce the required data storage space. This study revealed the possibility of simulating the HDPE pyrolysis process via machine learning with no significant accuracy loss of the kinetic parameters. It is hoped that this work could potentially benefit to the development of pyrolysis process modelling of HDPE and the other plastics.     

Ceramic membrane fouling mechanisms and control for water treatment

● The fouling is summarized based on ceramic membrane performance and pollutants. ● The current research methods and theoretical models are summarized. ● The membrane fouling control methods and collaborative technology are reviewed. Membrane separation, as an important drinking water treatment technology, has wide applications. The remarkable advantages of ceramic membranes, such as chemical stability, thermal stability, and high mechanical strength, endow them with broader prospects for development. Despite the importance and advantages of membrane separation in water treatment, the technique has a limitation: membrane fouling, which greatly lowers its effectiveness. This is caused by organics, inorganic substances, and microorganisms clogging the pore and polluting the membrane surface. The increase in membrane pollution greatly lowers purification effectiveness. Controlling membrane fouling is critical in ensuring the efficient and stable operation of ceramic membranes for water treatment. This review analyzes four mechanisms of ceramic membrane fouling, namely complete blocking, standard blocking, intermediate blocking, and cake filtration blocking. It evaluates the mechanisms underlying ceramic membrane fouling and summarizes the progress in approaches aimed at controlling it. These include ceramic membrane pretreatment, ceramic membrane surface modification, membrane cleaning, magnetization, ultrasonics, and nanobubbles. This review highlights the importance of optimizing ceramic membrane preparation through further research on membrane fouling and pre-membrane pretreatment mechanisms. In addition, combining process regulations with ceramic membranes as the core is an important research direction for ceramic membrane-based water treatment.     

云南蒋家沟泥石流运动特征及其发展趋势

根据蒋家沟1965~2005年的泥石流运动观测资料与会泽气象站1965~2005年日降水资料,应用Hurst指数分析泥石流的运动要素,研究发现:泥石流年输沙量的Hurst指数为0.682时,年输沙量呈较强的正持续性,未来呈增长趋势;降雨量的Hurst指数0.605时,降雨量呈较弱的正持续性,未来呈较弱的增长趋势。同时,运用小波分析方法,发现泥石流输沙量具有多时间尺度周期的特征,主要表现为:第8、14和24年分别为其第1、2和3活动周期;结合小波方差图分析可知:在未来15 a以上,年输沙量将呈减少趋势,泥石流活跃程度弱;而15 a以内,未来将会保持较短时间的增加趋势,泥石流活跃程度强。综合以上分析可知:蒋家沟泥石流具有规模巨大,作用强烈,类型齐全等主要特征。     

An integrated chemical mass balance and source emission inventory model for the source apportionment of PM2.5 in typical coastal areas

The source apportionment of PM_2.5 is essential for pollution prevention.In view of the weaknesses of individual models,we proposed an integrated chemical mass balancesource emission inventory(CMB-SEI) model to acquire more accurate results.First,the SEI of secondary component precursors(SO₂,NO_x,NH₃,and VOCs) was compiled to acquire the emission ratios of these sources for the precursors.Then,a regular CMB simulation was executed to obtain the contribut...     

多孔孔板水力空化反应器的水力特性

设计不同孔分布的孔板空化反应器,通过测定空化数及.OH产生量,研究多孔孔板水力空化反应器空化特性,为高性能多孔孔板水力空化反应器的设计奠定基础。实验结果表明,空化数随孔板孔径的增加、入口压力的减小和溶液温度的升高而增大;.OH产生量随孔板孔径的减小和运行时间的增加而增加,随入口压力和溶液温度的升高先增加后减小。结果表明,多孔孔板水力空化反应器的水力空化效果与孔板结构及操作条件有关。     

TiO2薄膜光催化降解双酚A的研究

采用sol-gel法制备TiO2薄膜.以该薄膜为催化剂,研究了在H2O2存在的条件下,对内分泌干扰物质双酚A的光催化降解反应.分别讨论了pH值、H2O2的加入量、双酚A的初始浓度以及光照时间对降解反应的影响.结果表明,在pH=4,30 mg/L的H2O2中对初始浓度为50 mg/L的双酚A溶液光照180 min有较好的降解效果.