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1.
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. 相似文献
2.
Jugder Dulam 《Water, Air, & Soil Pollution: Focus》2005,5(3-6):37-49
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). 相似文献
3.
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. 相似文献
4.
车辆限行对道路和施工扬尘排放的影响 总被引:11,自引:1,他引:11
采用降尘法对道路和施工扬尘排放进行连续监测,通过限行之前和限行期间数据分析,研究了“好运北京”体育赛事期间机动车交通限行措施对道路和施工扬尘的消减情况、道路和施工扬尘对北京大气环境颗粒物的贡献率、道路和施工扬尘源占本地颗粒物排放总量的比重.结果表明,车辆限行措施对降低道路和施工扬尘的效果明显;环路限行期间降尘量平均值为0.27 g·(m2·d)-1,限行之前1个月和限行之前7d降尘量平均值为0.81和0.59 g·(m2·d)-1,主干道和次干道限行期间降尘量平均值为0.21 g·(m2·d)-1,限行之前1个月和限行之前7 d降尘量平均值为0.54和0.58 g·(m2·d)-1,道路降尘量下降了60%~70%;限行期间民用建筑施工降尘量平均值为0.27 g·(m2·d)-1,限行之前20 d为1.15 g·(m2·d)-1,限行期间公用建筑施工降尘量平均值为1.06 g·(m2·d)-1,限行之前20 d为1.55 g·(m2·d)-1,施工降尘下降30%~47%;道路和施工扬尘是北京市颗粒物污染的主要来源,其对环境PM10的贡献率为21%~36%;当本地污染源PM10排放量占环境总量的50%和70%时,道路和施工扬尘PM10排放量分别占本地污染源的42%~72%和30%~51%. 相似文献
5.
罗国庆 《中国安全科学学报》2006,16(4):140-144
综合分析了除尘系统进入的烟尘量、排放方式、排放浓度等5个参数及其相互关系,根据在一定时间内进入除尘系统烟气烟尘的量;对除尘器进口和出口即百叶窗内各方向烟尘浓度的测试,利用物料平衡方程,确定百叶窗内各测点各方向测定的烟气烟尘浓度,确定半敞开排放烟气烟尘的排放浓度,笔者发现,外排烟尘浓度与百叶窗内侧向烟尘浓度具有良好的线性关系,百叶窗内侧向测定烟尘浓度能够反映半敞开烟气排放浓度。据此,提出以半敞开方式排放烟气烟尘的除尘系统烟气烟尘浓度测试方法,即侧向间接测试法。 相似文献
6.
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 总被引:4,自引:0,他引:4
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。 相似文献
7.
8.
焊接车间烟尘特性及治理措施 总被引:6,自引:0,他引:6
焊接生产会产生烟尘,焊接烟尘给人体带来的危害是比较严重的,焊接烟尘的治理方法有多种,合理选用可使焊接生产变成绿色环保型作业. 相似文献
9.
10.
采集了上海城区2009年10月10~21日期间2次空气污染过程的样品,在对污染过程分析的基础上,着重分析了PM2.5及其化学组分的变化,探讨了污染源及形成机制.研究表明,14日的灰霾过程主要由本地排放的污染物二次转化形成,PM2.5占PM10比重超过60%且PM2.5中离子组分含量高.17~19日的浮尘过程中,受北方沙尘影响本市粗颗粒浓度上升,PM2.5所占比重下降,二次离子组分从细颗粒物向粗颗粒物转移且Ca2+浓度上升,同时受到长江三角洲区域秸秆焚烧的影响,细颗粒物中K+, EC和OC含量高.因此,应在控制本地源排放的同时,加强对细颗粒尤其是二次细颗粒污染及其前体物的协同控制. 相似文献