提高天津市安全生产水平对策研究

根据对天津市2000—2004年工伤事故分析和研究,总结出的天津市工伤事故的规律和特点,以及事故致因的有关理论,提出对策研究的总体思路,并对照天津市及其重点行业的经济发展状况及安全监管的现状,提出了从总体上控制天津市工伤事故、不断提高安全生产水平的对策,即加强安全生产监管体系的建设、建立自律与激励机制、从制度上解决企业安全费用投入不足的问题、加大对重大危险源的监控以期杜绝特大事故的发生、尽快建立安全应急救援体系、加强事故管理、完善地方安全法规的建设使监管做到有法可依、强化安全检查等8项措施。     

抽出式通风煤巷掘进过程中粉尘浓度分布规律的数值模拟

根据气固两相流理论，针对矿井掘进工作面的特点，采用计算流体力学的离散相模型（DPM）对掘进工作面通风过程中粉尘浓度进行数值模拟，总结抽出式通风掘进巷道中粉尘浓度的沿程分布及变化规律。     

徐州市职业安全卫生工作探讨

本文概略描述了徐州市职业安全卫生各组成部门的工作情况。指出职业病危害存在患者待遇不落实、职业危害项目转移、职业健康检查滞后、工作场所职业危害因素检测、评价制度不健全的状况。调查发现，职业卫生工作存在5个方面的问题：现有职业卫生法律法规不够完善；对职业危害防治工作的支持力度不够；部门之间的协作机制有待加强；执法监督力量不足；企业法制意识淡漠。最后，提出解决问题的应对办法。     

管帏冲击式除尘器的应用

介绍了管帏冲击式除尘器的结构及其捕尘机理。介绍了对该除尘器进行除尘和防淋雨性能测试的实验方法和装置。分析了实验数据，得出了相应的结论。     

层次分析法在工业园区生态影响评价中的应用--攀枝花市高耗能工业园区生态环境影响探讨

目前生态影响评价研究中的评价对象、内容和方法缺乏统一的模式，本文以攀枝花高耗能园区的开发为例，尝试建立一套系统的工业园区开发生态影响评价方法，该方法以层次分析法为基础，将生态系统分解为经济发展、社会进步、环境保护、景观生态保护四个目标子系统，并在此基础上细化评价因子，通过专家打分和矩阵运算确定其权重，再根据适当的评价标准，运用指数法得出评价结果。结果表明该工业园区在建成前后，其生态综合指数由0．552提高到0．794．其级别由三级提高到二级，说明该园区生态系统总的状态得到改善，该工业园区项目开发可行。     

工业设施受恐怖袭击风险评价方法研究进展

鉴于全球范围恐怖活动日益猖獗的形势,无论从学术研究还是维护社会安全稳定的角度,恐怖袭击都应作为一个重要的风险因素加以深入研究.恐怖袭击事故是由恐怖分子策划和实施的,其风险机理不同于系统失效或人为失误造成的事故机理.科学地分析、预测和预防恐怖袭击的风险成为当前安全科学领域面临的新课题.本文对国内外相关研究的进展做了较详细的评述,提出了对重要工业设施和公共设施在加强传统安全管理的同时要加强脆弱性评价和保安管理体系建设等建议.     

长袋低压脉冲除尘器的创新与发展

依靠科技进步，应用多项专利技术，研制与开发的LFDM型长袋低压脉冲除尘器，成功应用于冶金、有色、建材、电力、机械和矿业等行业的工业气体除尘与净化；具有明显的达标排放和占地小、阻力低、投资省、运行费用少等特点。     

极性基湿润剂与矿岩类粉尘颗粒的作用机理

根据矿岩类粉尘微颗粒的表面性质和极性基湿润剂的特性，应用分子热力学和表面物理化学理论探讨了湿润型抑尘剂与矿岩类粉尘之间的相互作用机理。矿岩类粉尘吸附水的本质是由于它们之间的相互吸引作用，是分子之间的短程相互作用力和长程作用力共同作用的结果。当矿岩类粉尘与水相碰撞时，只有当吸引力大于排斥力时，水分子才能牯附于矿岩类粉尘，表面张力和体系自由能足够小时，水才能湿润矿岩类粉尘。分析了湿润剂对水和矿岩类粉尘的表面改性的原理，它增加水和矿岩类粉尘之间的相互作用力，减小了界面表面张力和体系自由能，使矿岩粉尘被水湿润能自由地进行。     

Discriminate Analysis for Dust Storm Prediction in the Gobi and Steppe Regions in Mongolia

A discriminate analysis method for probability forecast of dust storms in Mongolia has been developed. The prediction method uses data recorded at 23 meteorological stations in the Gobi and steppe regions of Mongolia, including surface air pressure and geo-potential height at the 500-hPa level on grid points, and weather maps from 1975 to 1990. Weather elements such as air temperature, pressure, geo-potential height etc, which influence the formation of dust storms, are prepared as predictors. To select the most informative/important predictors (variables), we used a mean correlation matrix of variables together with the Mahalonobis distance, and correlation coefficients between dust storms and predictors with an orthogonalization for removing correlated predictors. The most informative predictors for dust storm prediction are intensities of surface cyclones and migratory anticyclones, passage of cold fronts, the horizontal gradients of the surface air pressure in the cold frontal zone, cyclonic circulations from the ground surface up to the 500-hPa level, the geo-potential height at 500-hPa level and its temporal changes. Selected predictors are used in discriminate analysis for formulating dust storm prediction equations. Sandstorm data have been classified into three classes, viz., strong, moderate and weak dust storms, depending on their intensities, durations and areas covered. Predictions of the probabilities of dust storm occurrence use the prediction equations for each class. The prediction is made from 12 hours to 36 hours. Verification of the probability forecasts of dust storms is also shown. The accuracy of forecasts is 72.2–79.9% with the data used for developing equations (dependent variables), in contrast to 67.1–72.0% with unrelated data for deriving equations (independent variables).     

Analysis of Roadside Inhalable Particulate Matter (PM10) in Major Korean Cities

A data analysis of three major Korean cities was conducted to assess roadside inhalable particulate matter 10 μm or smaller in aerodynamic diameter (PM₁₀), including temporal and meteorological variations, over a recent period of 4 to 6 years. The yearly roadside PM₁₀ concentrations presented a well-defined increasing trend or no trend depending on the roadside monitoring station. Most mean values exceeded or approximated the Korean standard of 70 μg/m³ per year for PM₁₀. A representative roadside diurnal trend was characterized by a distinct morning maximum. In most cases, the Sunday roadside concentrations were similar to or somewhat lower than the weekday concentrations, and the PM₁₀ concentrations presented a well-defined seasonal variation, with the maximum concentration in March. The monthly maximum concentrations observed in March were most likely attributable to Asian dust storms. In two metropolitan cities (Seoul and Busan), the frequency of days with roadside PM₁₀ concentrations exceeding the standard of 150μg/m³ per 24 h was much lower for the roadside monitoring stations than for the residential monitoring station, whereas in the third city (Daegu), this result was reversed. Interestingly, the average maximum concentrations observed for the roadside sites in Seoul and Busan during March were higher than those for the residential sites, suggesting that the roadside concentrations responded more to the dust storms than the residential areas. The relationship between the pollutant concentrations and five important meteorological parameters (solar radiation, wind speed, air temperature, relative humidity, and precipitation) showed that the number and type of meteorological variables included in the equations varied according to the monitoring station or season. Finally, the current results confirmed that attention should be given to the PM₁₀ exposure of residents living near roadways.