城镇环境规划

文章主要探讨了编制小城镇环境规划的理论基础、指标体系、主要内容、城镇环境专题规划及其技术方法,重点对空气污染防治规划、水环境专题规划、噪声污染控制规划和城镇固体废物处理及处置专题规划作了具体分析,论证了正确处理城镇发展与环境保护之间的关系。改善城镇环境质量,促进城镇生态系统的良性循环,实现城镇的可持续发展,已成为各国政府环境保护工作的重点。     

国内石油储运业现状及安全建议

分析了国内石油储运业的现状与发展趋势,提出几点建议。     

危险化学品储运企业“三无”管理模式的构建与实践

通过构建"无违章、无违纪、无未遂事故"的"三无"管理模式,提高班组自主管理和员工遵章守纪的自觉性,使危险化学品储运企业以安全为核心的各项管理水平有了显著提升。     

关注危险化学品企业绿色物流的储运安全

阐述了危险化学品物流安全储运的特点及事故危害,分析了危险化学品企业物流中的安全隐患及经济发展对危险化学品企业物流的安全储运提出的新要求,指出要用安全科学为物流科学保驾护航,以及危险化学品企业绿色物流安全储运的技术措施。     

中国城市空气质量分级管理策略探讨

本文在充分剖析我国现阶段城市环境空气质量及相关管理工作存在的主要问题的基础上,探讨了以改善城市空气质量兼顾城市群效应控制为重点的城市空气质量分级管理策略。研究提出,为适应新的污染特征和形势,国家应针对不同地区、不同污染来源特征、不同污染程度的各类城市实行分类指导和分级管理的思路。     

Characterization of atmospheric aerosol (PM10 and PM2.5) from a medium sized city in São Paulo state, Brazil

Air pollution causes deleterious effects on human health with aerosols being among the most polluting agents.The objective of this work is the characterization of the PM_(2.5) and PM_(10) aerosol mass in the atmosphere.The methods of analysis include WD-XRF and EDS.Data were correlated with meteorological information and air mass trajectories(model HYSPLIT)by multivariate analysis.A morphological structural analysis was also carried out to identify the probable sources of atmospheric aerosols in the city of Sao Jose do Rio Preto,Brazil.The mean mass concentration values obtained were 24.54 μg/m~3 for PM_(10),above the WHO annual standard value of 20 μg/m~3 and 10.88 μg/m~3 for PM_(2.5) whose WHO recommended limit is10 μg/m~3.WD-XRF analysis of the samples revealed Si and Al as major components of the coarse fraction.In the fine fraction,the major elements were Al and S.The SEM-FEG characterization allowed identifying the morphology of the particles in agglomerates,ellipsoids and filaments in the PM_(10),besides spherical in the PM_(2.5).The analysis by EDS corroborated WD-XRF results,identifying the crustal elements,aluminosilicates and elements of anthropogenic origin in the coarse fraction.For the fine fraction crustal elements were also identified;aluminosilicates,black carbon and spherical particles(C and O) originating from combustion processes were predominant.The use of multivariate analysis to correlate air mass trajectories with the results of the morpho-structural characterization of the particulate matter allowed confirmation of the complex composition of the particles resulting from the combination of both local and long-distance sources.     

运输包装箱的多载荷减振设计研究

目的考虑降低成本,提高效率,面向卫星产品型谱的通用式包装箱设计势在必行。如何确定和选用一种适应于不同载荷特性的减振方案,成为航天器运输减振设计的关键点和技术难点。方法针对这一问题,分析了目标产品的尺寸接口和质量特性,对卫星不同舱段运输工况进行了振动特性分析和试验。结果在此基础上设计了一种适用于3种卫星舱体、4种运输状态通用的包装箱减振分系统,并对装载尺寸参数进行了优化。系统一阶垂向频率不高于5.8 Hz。结论运输试验数据表明新型减振系统对航天产品的减振效果满足要求。     

The method for leakage detection of urban natural gas pipeline based on the improved ITA and ALO

To solve the problems of the difficulty in early leakage monitoring and larger positioning error for urban hazardous chemicals pipelines, the optimized method based on the improved Inverse Transient Analysis (ITA) and Ant Lion Optimizer (ALO) was proposed. Firstly, based on the obtained experiment's results of leakage of natural gas in the non-metallic pipeline, the segment classification method was incorporated into the pressure gradient calculation. The modified method can adapt to the multi-node characteristics of urban pipe networks and help to obtain the preliminary positioning calculation results after optimization. Then the calculation results were embedded in the ITA calculation model. The input parameters of the gas pipeline such as boundary conditions, leakage rate and friction coefficient were used to establish the characteristic linear equations. Then the objective function of the least-squares criterion was defined, and the improved ITA model suitable for leakage detection of urban natural gas pipeline networks was constructed. Finally, the ALO was used to optimize the calculation process of the improved ITA model, and iteratively optimize the optimal friction coefficient and its corresponding minimum objective function (OF) value. As a result, a more precise location of the leakage source was calculated. The validation of the modified method is conducted by comparing the calculated values with the experiment's results. The results show that the method can accurately predict the location where the pipeline leakage occurs. The minimum error is 3.17%. Compared with the traditional ITA, this method not only accelerates the convergence speed of the objective function, but also improves the accuracy of location calculation.     

基于神经网络的城市夜间环境监控与预测

因夜间天空亮度分布具有非线性变化特点,故引入神经网络算法,建立基于时间序列的夜天空亮度预测模型,夜天空亮度预测模型可为城市光污染防治提供评价依据.文章对神经网络的原理进行了论述,建立了基于时间序列预测模型.以测试数据为训练样本集,基于MATLAB(矩阵实验室,Matrix Laboratory的简称),采用改进的BP算法(误差反向传播算法)对网络进行学习训练,并对存在的误差进行了分析.基于时间序列BP神经网络的夜天空预测模型,当隐含层神经元数目为5,训练函数为L-M优化算法(trainlm)时,最大绝对误差可达到0.003 6 cd/m2,最大相对误差达到2.361 4%.结果表明,模型的运行结果与试验数据比较吻合,输出与目标矢量之间相关性也较好.     

军用物资航空运输振动冲击环境条件研究

介绍了军用物资航空运输的特点和分类,分析了军用物资在飞机起飞、降落、跑道滑行、飞行中,因气流变化以及空投时物资着陆和装卸而产生的振动冲击等,并给出了一定的振动冲击值。同时,结合振动冲击等环境条件对物资的影响,提出了安全防护的几点措施,为军用物资航空运输的安全性提供理论依据和技术参考。