室内空气和灰尘中全(多)氟烷基化合物的研究进展

全(多)氟烷基化合物(per(poly)fluoroalkyl substances,PFASs)在环境各个介质及人体样品中广泛被检出,近年,在室内空气和灰尘中也普遍发现PFASs.研究表明,室内空气中PFASs的含量普遍高于室外空气,室内空气和灰尘中的PFASs可能是室外空气的污染来源及人体暴露源,因此室内环境中PFASs成为环境领域的又一个研究热点.但目前为止,我国还没有开展室内空气中PFASs的相关研究,室内灰尘中PFASs的研究也相对较少.本文就室内空气和灰尘中PFASs的采样与分析方法、污染现状、来源分析及人体暴露等4个方面进行了综合阐述,以期为我国室内环境中PFASs的研究提供参考.     

高炉瓦斯泥的回收与利用

通过对济钢高炉瓦斯泥进行分离回收与综合利用的系统试验研究,作者推荐采用浮—重联合流程分离回收其中的炭和铁。试验获得如下指标:炭精矿品位80％,回收率50％;铁精矿品位60％,回收率45％;次铁精矿品位45％,回收率11.5％。经济和社会效益明显。     

21世纪中国环境法制建设的理性回归

本文从近几年我国环境法制建设状况的统计入手，详细地分析了近年我国环境问题的特点和环境法制建设的特点。但是，环境问题在我国仍然非常严峻，我国的环境法制建设仍然有诸多的缺陷，而且新世纪我国社会经济发展呈现出了新的特点。基于此，文章从六个方面对新世纪我国的环境法制建设进行了冷静地分析与思考，并因此得出相应的结论。     

引燃点火减轻焦炉烟尘污染

土法炼焦，对大气环境污染严重。采用引燃点火无回收焦炉，操作简单，材料省，出焦优质，大大减轻了对大气的污染。本文对引燃点火无回收焦炉的结构及有关问题作了较为详细的叙述。     

环境影响综合评价灰色层次模型研究

针对水电工程环境影响综合评价问题，应用拓展的灰关联理论和最小二乘准则，建立了环境影响综合评价的灰色层次模型。以东江水电工程环境影响综合评价为实例说明了该模型的合理性、可信性。结果表明：此基工程使环境总体向理想的１８．１％     

我国烟草加工系统粉尘爆炸危险性分析

介绍了烟草粉尘爆炸特性，对我国烟草加工系统粉尘爆炸危险性作了分析。     

深圳地铁施工影响区环境安全与第三方监测

在讨论如何确保地铁施工影响区环境安全的基础上 ,给出了深圳地铁土建施工第三方监测的概念 ,详细阐述了第三方监测的目的、作用、管理体系、实施内容和工作程序 ,论述了第三方监测与业主、承包商、监理之间的关系。深圳地铁建设的实践表明 ,第三方监测是业主确保地铁施工影响区环境安全的有效管理模式 ,在地铁建设中极有推广价值。     

黄土高原地区生态建设的关键问题

从黄土高原地区水土保持生态建设的实际情况出发,结合历史经验教训,探讨了生态建设与农业发展、农民脱贫致富的关系.指出生态环境问题归根结底是人的问题,减少人类对生态环境的破坏和干扰,因地制宜地进行植被建设和生态恢复,激励广大农民自觉参与生态建设对黄土高原地区水土保持生态建设成败至关重要.     

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.