Comparison of Diuron degradation by direct UV photolysis and advanced oxidation processes

The rates of Diuron elimination by some advanced oxidation processes (AOPs) such as Fe(III)/UV, Ferrioxalate/UV, Fe(III)/H(2)O(2)/UV, Ferrioxalate/UV/H(2)O(2) and Fe(III)/H(2)O(2) have been compared. Experiments have been conducted at pH=2.3+/-0.1 with a batch reactor equipped with a low-pressure mercury lamp emitting mainly at 253.7nm. Data obtained under the following experimental conditions ([H(2)O(2)](0)=10(-3)M, [Diuron](0)=5x10(-5)M and [Fe(III)](0)=10(-3)M) have shown that rates of Diuron oxidation were higher with the systems Fe(III)/H(2)O(2)/UV and Ferrioxalate/UV/H(2)O(2) than with Fe(III)/UV and Fe(III)/H(2)O(2). On the other hand, Fe(III)/UV was found to be very efficient in mineralization of Diuron solution in comparison to direct UV photolysis. The experimental results showed that radical ()OH is the major pathway in the process of Diuron degradation.     

Assessment of risks posed by chemical industries—application of a new computer automated tool -III

The paper describes the application of a new computer automated tool, developed by us, in the risk analysis of a typical chemical industry engaged in the manufacture of linear alkyl benzene. Using the tool—a comprehensive software package www.sciencedirect.com/cache/MiamiImageURL/B6TGH-3XNT22T-2-12/0?wchp=dGLbVzW-zSkzS" alt="Image" title="Image" style="vertical-align:bottom" border="0" height=11 width="72"/> -III (MAXimum CREDible accident analysis)—nine different scenarios, one for each storage unit, have been studied. It is observed that the accident scenario for chlorine (instantaneous release followed by dispersion) leads to the largest area-under-lethal-impact, while the accident scenario for propylene (CVCE followed by fireball) forecasts the most intense damage per unit area. The accidents involving propylene, benzene, and fuel oil have a high possibility of causing domino/secondary accidents as their destructive impacts (shock waves, heat load) would envelope other storage and process units.Besides demonstrating the utilizability of www.sciencedirect.com/cache/MiamiImageURL/B6TGH-3XNT22T-2-12/0?wchp=dGLbVzW-zSkzS" alt="Image" title="Image" style="vertical-align:bottom" border="0" height=11 width="72"/> -III, this study also focuses attention on the need to bestow greater effort towards risk assessment/crisis management. The authors hope that the study will highlight the severity of the risk posed by the industry and thus generate safety consciousness among plant managers. The study may also help in developing accident-prevention strategies and the installation of damage control devices.     

异常性检测算法在引信干扰信号识别中的应用

目的 解决传统分类引信抗干扰算法因干扰信号难获取、特征信号样本少、正负样本数不平衡而导致计算精度低的问题,克服引信抗干扰算法对样本的依赖性,并提高引信信号识别准确率。方法 通过WVD时频变换的方法,将拆分后的真实含扰引信信号切片进行重组,使其由一维时序信号向二维图片信息进行扩展,基于数据倍增策略,提升算法泛化性,并降低其对真实数据样本的依赖。融合GANomaly与EfficientNet网络,在扩充的引信数据集上进行线下干扰信号特征学习,并对含扰引信图像数据进行线上异常性判断与干扰信号识别。结果 GE-FS网络能够在真实引信小样本信号的基础上进行有效数据扩充,基于扩充数据训练后,引信含扰识别准确率达到98.4%。结论 GE-FS网络能有效针对引信异常信号进行精确检测与识别,可以增强引信系统的抗干扰能力与作战自适应性。