深水型水库藻类功能组时空演替及生境变化的影响

藻类功能分组是近年来生态学藻类研究的重要理论和方法.为了探明西安某深水型水源水库藻类功能组时空演替及生境变化的影响,于2011年8月起开展实验研究.研究采用现场在线监测和实验室分析相结合的方法.结果表明,水库藻类可分为10个功能组类别:B、D、P、X1、X3、F、G、J、LM、MP.其中,功能组B、P、F、X1、MP、D、J在水库中较为常见,X3、G、LM出现几率较低,功能组B、D、P、X1、X3的藻类数量占优.通过分析环境因子的变化对功能组时空演替的影响,发现水温为最主要的影响因子.水库藻类生长策略为:春季R/CR策略藻种→春末夏初CR/C策略藻种→夏末秋初C/CR/R/CS/S策略藻种→秋末及冬季CR/R策略藻种.此研究可为深水型水库安全取水提供理论支持.     

Effect of particle size on CO adsorption and thermodynamic analysis

The liquid nitrogen adsorption method was used to characterize the pore structure of non-cohesive coal in the 061,404 working face of the Lingxin coal mine. The amount of specific surface area of micropores in the sample continuously rose as particle sizes reduced. The volumetric method was used to measure the CO isothermal adsorption curves of three samples (sample I, 0.425–0.25 mm, sample II, 0.18–0.25 mm, and sample III, 0.15–0.18 mm). The experimental results were fitted by the Langmuir model. According to the experimental results, it was conducive to CO adsorption with the conditions of high pressure and low-temperature. The decrease in grain diameter increased the number and volume of micropores in the sample, which improved the adsorption capacity of the sample. In addition, according to the adsorption data, the CO adsorption thermodynamics of three samples were analyzed, including surface potential (Ω), Gibbs free energy change (ΔG) and entropy change (ΔS). The results demonstrated that CO adsorption by coal was a spontaneous process. Sample III has the most substantial adsorption capacity, whereas the sample I has the weakest adsorption capacity.     

Structural equation model of the influence of noise annoyance on miners’ unsafe behavior in coal mines

Miners' unsafe behavior (UB) is the main cause of coal mine accidents. Previous research has suggested that excessive noise in tunnels impacts miners' temperaments and safe production behavior. To explore the influence of noise on UB, four different dimensions of noise annoyance were identified: cognitive, emotional, communication, and physical mechanism annoyance. The coal mine noise annoyance scale, miners' unsafe behavior intention (UBI) scale, and miners’ UB scale were developed according to different dimensions. In the first survey, a total of 200 questionnaires were distributed in the two coal mines, and 193 valid questionnaires were recovered. Exploratory factor analysis was conducted, and invalid items were removed according to the analysis results to form the final scale. Then, 500 final scales were distributed in two Chinese coal mines, and 482 valid questionnaires were collected. Confirmatory factor analysis was conducted by collating the data of the second questionnaire. Based upon the structural equation model (SEM), the SEM of the influence of noise annoyance degree on UB and the path analysis with latent variable path analysis with the latent variables (PA-LVs) mediating model of the effect of UBI on UB were established, and the path coefficients with fitting data of the model were analyzed. The results indicated that the four dimensions of coal mine noise annoyance had a strong positive impact on UB, which was reduced by less noise annoyance. In addition, the Bootstrap method was used to verify the mediating method among the four dimensions of noise annoyance, cognitive annoyance, emotional annoyance, with communication annoyance indirectly affecting UB through UBI. The research results provide theoretical support for reducing the UB of miners and improving coal mine safety levels.     

智能手机应用程序使用与操作的驾驶分心风险影响研究*

为研究智能手机应用程序操作方式与使用行为对驾驶分心影响的问题,探讨智能手机程序操作方式对驾驶分心影响的优劣关系,基于结构方程模型提出4个因果关系假设,构建涵盖程序使用、驾驶分心、驾驶绩效等潜变量的智能手机使用行为影响的结构方程模型。通过收集线下问卷的方式进行调查,搭建模拟场景,设计6项实验方案,通过驾驶模拟实验方式收集相关数据,建立相对偏差矩阵。研究结果表明:手机通话功能的使用（路径系数0.472）对驾驶分心影响显著,手机导航功能使用（路径系数0.256）、手机音乐功能使用（路径系数0.249）对驾驶分心影响不显著。语音交互方式均优于手动操作方式,其中语音交互启动导航方式（F3=0.019）的影响最小。研究结果可对道路驾驶情况下智能手机应用使用与操作方式的研究起推动作用。     

基于BERT-BILSTM-CRF模型的电力行业事故文本智能分析*

为解决电力行业事故报告文本较长、语义复杂,难以进行有效文本识别问题,提出1种以BERT作为底层的预训练模型,并设计1种双重注意力机制编码器,结合BILSTM-CRF深度挖掘事故文本语义特征,从而实现文本智能分析。首先构建电力词典,通过对BERT预训练,进行BIO标注,然后引入BILSTM-CRF模型实现对文本标签智能分类,最后将该模型与现行其他4种深度学习模型进行对比。研究结果表明:该模型智能识别精确率、召回率及F1值(查准率)均达到约97%,较其他4种模型中效果最好的模型分别提高0.02,0.03,0.02。研究结果可为电力行业事故报告文本分析提供1种新思路。     

南岔湖夏季浮游植物初报

对2013年夏季南岔湖的浮游植物进行了初步研究,共鉴定初浮游植物6门,8纲,13目,24科,43属,共94个分类单位。其中优势种6种。南岔湖水体属于中污染。     

应用模糊数学法综合评价营口石门水库水质级别

应用模糊数学法综合了5项主要污染指标评价了2008-2012年营口石门水库的水质级别,改变了仅凭单因子评价水质级别的方法,评价更合理,更符合实际情况。     

提高快速法测定C OD准确度及精密度的方法

介绍了用快速法测定COD分析中提高准确度及精密度的方法。     

混凝气浮+SBR处理再生花炮纸工艺废水的应用

采用混凝气浮+SBR处理年产1万t再生花炮纸工艺废水,对SS、CODCr、BOD5的处理效率分别为96.2%、96.2%、93.1%,最大日均值排放浓度分别为64mg/L、80.7mg/L、26mg/L,排放负荷分别为0.59kg/t、0.63kg/t、0.22 kg/t,均未超过标准限值的要求(pH范围为6.14-7.20);CODCr年排放总量5.4t小于20t/年;纸浆回收率92.0%、白水回用率94.4%、水循环利用率93.2%达标;实现"三排三率"六达标。     

危险废物回转窑焚烧系统的控制参数分析及调节方法研究

随着我国经济的迅速发展,危险废物产量持续增长,它们带来了严重的社会危害和环境危害。焚烧法是一种高温热处理技术,危险废物通过焚烧处理可实现无害化、减量化和资源化。回转窑焚烧系统具有处置范围广、处理量大、焚毁率高、安全可靠和可长期持续运行等特点,被国内外广泛应用。文章通过分析回转窑焚烧系统的主要控制参数,根据工程运行的实际经验,绘制了回转窑焚烧系统控制参数和焚毁率关系图,并提出了“最佳焚烧区域”的概念,对于回转窑焚烧系统的调试和运行工作,有积极的指导作用和重要的现实意义。