Impact of meteorological condition changes on air quality and particulate chemical composition during the COVID-19 lockdown

Stringent quarantine measures during the Coronavirus Disease 2019 (COVID-19) lockdown period (January 23, 2020 to March 15, 2020) have resulted in a distinct decrease in anthropogenic source emissions in North China Plain compared to the paralleled period of 2019. Particularly, 22.7% decrease in NO₂ and 3.0% increase of O₃ was observed in Tianjin, nonlinear relationship between O₃ generation and NO₂ implied that synergetic control of NO_x and VOCs is needed. Deteriorating meteorological condition during the COVID-19 lockdown obscured the actual PM_2.5 reduction. Fireworks transport in 2020 Spring Festival (SF) triggered regional haze pollution. PM_2.5 during the COVID-19 lockdown only reduced by 5.6% in Tianjin. Here we used the dispersion coefficient to normalize the measured PM_2.5 (DN-PM_2.5), aiming to eliminate the adverse meteorological impact and roughly estimate the actual PM_2.5 reduction, which reduced by 17.7% during the COVID-19 lockdown. In terms of PM_2.5 chemical composition, significant NO₃^? increase was observed during the COVID-19 lockdown. However, as a tracer of atmospheric oxidation capacity, odd oxygen (O_x = NO₂ + O₃) was observed to reduce during the COVID-19 lockdown, whereas relative humidity (RH), specific humidity and aerosol liquid water content (ALWC) were observed with noticeable enhancement. Nitrogen oxidation rate (NOR) was observed to increase at higher specific humidity and ALWC, especially in the haze episode occurred during 2020SF, high air humidity and obvious nitrate generation was observed. Anomalously enhanced air humidity may response for the nitrate increase during the COVID-19 lockdown period.     

基于时序片段的油气管道运行工况识别方法*

为准确识别管道系统运行工况,提高对油气管道突发事故的响应速度,综合提升管网安全管理水平,提出1种基于时序片段的油气管道运行工况识别方法。首先,构建基于概率分布的状态变化识别模型,提取油气管道中不同运行状态点;其次,建立基于时间序列片段的工况识别模型,快速识别不同时间长度内油气管道运行工况;最后,以国内某成品油管道为例进行方法验证。研究结果表明:该方法可有效识别成品油管道阀门开关状态、泵异常停机和阀门内漏3种运行工况。对比传统的识别方法,该方法可降低状态变化点的漏报率,提升管道运行工况识别的准确率。研究结果可为油气管道系统运行工况识别提供新的借鉴方法。     

Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition

An important consideration in conservation and biodiversity planning is an appreciation of the condition or integrity of ecosystems. In this study, we have applied various machine learning methods to the problem of predicting the condition or quality of the remnant indigenous vegetation across an extensive area of south-eastern Australia—the state of Victoria. The field data were obtained using the ‘habitat hectares’ approach. This rapid assessment technique produces multiple scores that describe the condition of various attributes of the vegetation at a given site. Multiple sites were assessed and subsequently circumscribed with GIS and remote-sensed data.     

催化湿式氧化乐果农药废水及催化剂的研究

通过共沉淀法制备了用于湿式氧化乐果农药废水的Cu/Mn复合氧化物催化剂,研究了沉淀剂种类、沉淀温度、焙烧温度和活性组分配比等因素对Cu/Mn复合氧化物催化剂的活性及稳定性的影响,确定了最佳制备条件,利用BET比表面积测定和XRD对催化剂进行了表征。结果表明:优化条件制备的Cu/Mn复合氧化物催化剂催化湿式过氧化氢氧化处理乐果农药废水时,具有较高的催化活性和稳定性。催化剂用量以6 g/L,反应温度80℃,过氧化氢加入量为12.0 g/L,反应时间60 min,COD去除率为89.5%,活性组分溶出量较小。     

乌鲁木齐市水磨沟区生态环境现状及对策

乌鲁木齐市水磨沟区主要生态环境问题是：水资源不足,利用率低下;环境污染严重;土地利用率低,利用结构不合理;采矿区、塌陷区面积大,临近市区;工业布局、结构不合理;多数企业技术水平不高,环境代价高。按照国家环保总局建设生态示范区的要求提出了改善其生态环境的对策为：划分生态功能区域;加强水资源利用技术研究与应用;调整产品的结构;提高技术含量、改造污染行业;塌陷区回填复垦;污染控制和废水资源化;水土保持。     

利用废铁屑处理含铬废水试验研究

通过研究在酸性条件下利用废铁屑处理剧毒的六价铬电镀废水的工艺条件 ,在最佳条件下废水中六价铬去除率达99 %以上 ,出水总铬含量为0.040mg/l,六价铬含量为0.002mg/l,大大低于国家排放标准0.500mg/l。     

生物质热解影响因素研究

阐述了生物质的特点及其热解的定义和热解机理,综述了生物质热解过程中,温度、升温速率、物料特性（如种类、分子结构、粒径和颗粒形状等）、滞留时间、压力等操作条件对生物质热解及其产物分布组成和特性的影响,指出了生物质热解的技术关键。     

浅析旋刀式草坪割草机产品质量状况

在当前市场经济条件下,草坪割草机产品质量问题尤为重要,直接关系到环境、人身安全、作业质量等。本文论述了国内草坪割草机产品质量现状及存在的主要问题,为了加强草坪割草机产品的质量管理,并提出了改进建议。     

乌鲁木齐市气象条件与TSP浓度的关系

阐述了气象条件对ＴＳＰ浓度变化的影响,ＴＳＰ的扩散速度、扩散能力、浓度变化、历时长短在很大程度上取决于气象条件。     

基于二值逻辑的复合绝缘子状态判别策略研究

复合绝缘子是架空输电线路上广泛使用的设备,它的老化会给电力系统的正常运行带来威胁。电力相关工作人员需要一种能够对复合绝缘子的运行状态进行判别的方法,帮助他们确定复合绝缘子是否满足运行要求,而对复合绝缘子的定性表征就成为一种优选的表征策略。将运行后的复合绝缘子分成"满足运行要求"和"不满足运行要求",使用二值逻辑回归模型,选取合适的特征量,建立了复合绝缘子状态表征体系。