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1.
机动车尾气及其扬尘对克拉玛依市环境空气影响特征分析   总被引:1,自引:0,他引:1  
通过对克拉玛依市机动车尾气及扬尘的实验结果分析,得知城市环境中污染因子NOx、CO、TSP等与汽车尾气和扬尘紧密相关,其车流量全天峰期在11:00-12:00,CO、NOx峰值达6.00mg/m^3和0.10mg/m^3TSP浓度达峰值后变化很小。污染物扩散速度与交通干线两侧环境,即垂直距离呈负相关关系。  相似文献   

2.
根据昌吉市地理环境特点,选用“大气扩散-沉积模式”,气象设计条件和扩散参数,建立起符合昌吉市特点的大气质量模型,并摸拟了TSP污染现状浓度。  相似文献   

3.
对大气环境质量标准中TSP与IP关系的探讨倪荣林,李英(吉林省吉林市环境监测站,132011)实践中,我们对TSP与IP两个环境标准之间的关系(即同一大气环境条件下TSP浓度与IP浓度是否符合或近于符合表1中的比例关系)提出疑问。如果两个标准近于一致...  相似文献   

4.
TSP的来源与气象因素对TSP测试的影响   总被引:1,自引:0,他引:1  
用“化学元素平衡法”(CBM)鉴别常州市总悬浮颗粒物(TSP)的来源,结果表明,常州市的TSP中,土壤尘约占30%;建筑尘和燃煤尘相当,约各占25%;钢铁尘占2.5%。扬尘不是独立源,它主要是土壤尘、建筑尘和燃煤尘的混合。通过气象资料分析,发现应在无雨(日降雨量小于0.1mm)和风速小于5m/s的气象条件下测试TSP,才能保证测试结果具代表性。  相似文献   

5.
通过对TSP、SO2浓度在不同高度实测研究.得出平顶山市SO2在1.5m至20m不同高度监测,高度影响无显著性差异;TSP在5m至15m不同高度监测,高度影响无显著性差异。  相似文献   

6.
从平顶山市实际出发,通过对TSP,SO2浓度在不同高度的实测研究,得出SO2在1.5米至20米不同高度监测,高度影响无显著差异,TSP在5米至10米不同高度监测,高度影响无显著性差异。  相似文献   

7.
考虑了平均风速与垂直扩散系数随高度变化的非高斯型模式;并利用兰州市西固区域发展环境评价试验资料求取大气低层平均风速与垂直扩散 分布,从而计算出垂上扩散参数σz;并与Pasquill-Gifford-Turner(P-G-T)扩散曲线方法和SurfaceSimilarityTheory(SST)方法的计算结果进行比较分析,结果发现:除强稳定F级1km以外的值,非高斯扩散模式的σz-倍;在其它的情况下  相似文献   

8.
武汉市城区大气监测优化布点研究   总被引:3,自引:0,他引:3  
对武汉市城区网格布点实测TSP、SO2获取了城区大气污染总体水平的数据,运用Fisher最优分割方法,求出城区5个优化测点数,运用模糊聚类方法对武汉城区48个网格测点的TSP、SO2污染强度置信水平进行聚类;运用日均值和百分位数逼近方法检验;结合优化布点原则等,最终确定的TSP、SO2的5个优化测点能集中反映城区大气环境中TSP、SO2的总体污染水平。  相似文献   

9.
用烘干恒重法测定悬浮物,过滤前后滤纸都必须烘干,有时烘几次才能达到恒重,甚为烦琐。受测定TSP的启示,尝试了用恒温恒湿法测定悬浮物。将平衡室(同TSP)放置在天平室内,平衡室温度保持在20℃~25℃之间,温度变化小于±3℃;相对湿度小于50%,变化小...  相似文献   

10.
本文介绍了用被动式个体采样器同时测定空气中SO2和NO2的方法,吸收层用三乙醇胺(20%)+碳酸钠(5%)溶液浸渍的滤纸,采样后分成两等分,分别测定SO2和NO2浓度。与有动力的溶液吸收管现场对比验证,表明两者结果是一致的。在外环境监测时,为了克服风速的影响,可将被动式个体采样器放在TSP流量采样器的帽形采样头中,这样可同时测定环境空气中TSP、SO2和NO2。  相似文献   

11.
Atmospheric aerosol particles and metallic concentrations, ionic species were monitored at the Experimental harbor of Taichung sampling site in this study. This work attempted to characterize metallic elements and ionic species associated with meteorological conditions variation on atmospheric particulate matter in TSP, PM2.5, PM2.5–10. The concentration distribution trend between TSP, PM2.5, PM2.5–10 particle concentration at the TH (Taichung harbor) sampling site were also displayed in this study. Besides, the meteorological conditions variation of metallic elements (Fe, Mg, Cr, Cu, Zn, Mn and Pb) and ions species (Cl, NO3 , SO4 2−, NH4 +, Mg2+, Ca2+ and Na+) concentrations attached with those particulate were also analyzed in this study. On non-parametric (Spearman) correlation analysis, the results indicated that the meteorological conditions have high correlation at largest particulate concentrations for TSP at TH sampling site in this study. In addition, the temperature and relative humidity of meteorological conditions that played a key role to affect particulate matter (PM) and have higher correlations then other meteorological conditions such as wind speed and atmospheric pressure. The parameter temperature and relative humidity also have high correlations with atmospheric pollutants compared with those of the other meteorological variables (wind speed, atmospheric pressure and prevalent wind direction). In addition, relative statistical equations between pollutants and meteorological variables were also characterized in this study.  相似文献   

12.
分别在冬季及夏季选取具有典型气候特性的天气,采集空气中TSP和PM10.根据采样前、后滤膜重量之差及采样标况体积,计算TSP质量浓度,分析了TSP和PM10在大气中污染状况,研究了TSP和PM10的相关性及PM10占TSP的比例,并得出结论:在冬、夏二季TSP和PM10的浓度值变化趋势非常相似,在冬季时TSP和PM10...  相似文献   

13.
The concentrations of total suspended particulate matter (TSP) and particulate matter less than 10 microns (PM10) were measured at various locations in a Jawaharlal Nehru port and surrounding harbour region. Meteorological data was also collected to establish the correlation with air pollutant concentration. The results are analysed from the standpoint of monthly and seasonal variations, annual trends as well as meteorological effects. The monthly mean concentration of TSP was in the range of 88.2 to 199.3 microg m(-3). The maximum and minimum-recorded value of PM10 was 135.8 and 20.3 microg m(-3), respectively. The annual average concentration of PM10 was 66.1 microg m(-3). There are clear associations between TSP and PM10 data set at all the measured three sites with a correlation coefficient of 0.89, 0.69 and 0.81, respectively. PM10 data appears to be a constant fraction of the TSP data throughout the year, indicating common influences of meteorology and sources. Particle size analysis showed PM10 to be 47% of the total TSP concentration, which is lower than reported for industrial area and traffic junctions in Mumbai. Anthropogenic sources contribute significantly to the PM10 fraction in an industrial region, while contributions from natural sources are more in a port and harbour area. Statistical analysis of air quality data shows that TSP is strongly correlated with wind speed but weakly correlated with temperature. There appears to be a simple inverse relationship between TSP and wind speed data, indicating the dilution and transport by winds.  相似文献   

14.
选用博乐市2010年大气PM10与TSP监测数据月均值,分析了PM10与TSP在大气中的浓度变化相关性趋势、沙尘暴天气对其相关性的影响以及PM10占TSP中的浓度比,并得出PM10与TSP的浓度变化趋势除沙尘暴天气干扰外非常相似,具有很好的相关性。  相似文献   

15.
In recent years, due to the rapid increase in population density, building density and energy consumption, the outdoor air quality has deteriorated in the crowded urban areas of Turkey. Elaz?? city, which is located in the east Anatolia region of Turkey, is also influenced by air pollutants. In the present study, relationship between monitored air pollutant concentrations such as SO2 and the total suspended particles (TSP) data and meteorological factors such as wind speed, temperature, relative humidity, solar radiation and atmospheric pressure was investigated in months of October, November, December, January, February, and March during the period of 3 years (2003, 2004 and 2005) for Elaz?? city. According to the results of linear and non-linear regression analysis, it was found that there is a moderate and weak level of relation between the air pollutant concentrations and the meteorological factors in Elaz?? city. The correlation between the previous day’s SO2, TSP concentrations and actual concentrations of these pollutants on that day was investigated and the coefficient of determination R2 was found to be 0.64 and 0.54, respectively. The statistical models of SO2 and TSP including all of meteorological parameters gave R2 of 0.20 and 0.12, respectively. Further, in order to develop this model, previous day’s SO2 and TSP concentrations were added to the equations. The new model for SO2 and TSP was improved considerably with R2?=?0.74 and 0.61, respectively.  相似文献   

16.
Total suspended particulate (TSP) samples were collected during wintertime from November 24, 1998 to February 12, 1999 in Beijing. Ionic species including Cl-, NO3(-), SO4(2-), Na+, NH4(+), K+, Mg2+ and Ca2+ were determined by Ion Chromatography (IC). The sum average concentration of all the determined ions accounted for 18.9% of the TSP concentration, and SO4(2-) appeared the dominant ion with an average concentration of 30.84 microg m(-3); the sum mass concentration of SO4(2-), NO3(-), Ca2+ and NH4(+) accounted for about 83.2% of all the eight ions measured. The study indicated that the chemical form of sulfate and ammonium varies with TSP concentration levels. During heavy pollution periods, the average TSP concentration was 0.66 mg m(-3), and the NH4(+)/SO4(2-) molar ratio was low (0.58). It indicated that sulfate may present as CaSO4 and (NH4)2SO4 x CaSO4 x 2H2O. When TSP concentration (average 0.186 mg m(-3)) was relatively low, the NH4(+)/SO4(2-) molar ratio was 1.94, close to the theoretical ratio of 2 of (NH4)2SO4. Under this condition (NH4)2SO4 is expected to exist as the major form of sulfate. When the TSP concentration level was medium (average 0.35 mg m(-3)), the NH4+/SO4(2-) molar ratio appeared an average value (1.27), (NH4)2SO4, (NH4)2SO4 x CaSO4 x 2H2O and CaSO4 are expected to be present in those aerosol particles. Meteorological conditions including wind speed and wind direction were related to the TSP concentration level.  相似文献   

17.
气象条件对沈阳市环境空气臭氧浓度影响研究   总被引:26,自引:20,他引:6  
利用2013年沈阳市环境空气监测点位臭氧监测数据,分析沈阳臭氧浓度变化特征,结合气象资料分析了其对臭氧浓度的影响。结果表明,沈阳市不同区域臭氧浓度变化特征基本一致。臭氧浓度日变化呈单峰趋势,最大值出现在14:00左右,最小值出现在6:00左右;臭氧浓度变化具有明显的季节特征,夏季臭氧浓度最高,春秋次之,冬季最低;臭氧浓度受温度、风速、湿度、能见度、天气情况影响,臭氧浓度变化是多因素共同作用的结果。  相似文献   

18.
大气中SO_2、NO_x、TSP和CO平行采样监测结果的统计分析表明,地面与楼顶采样的差异不显著,其浓度变化有随高度呈规律性的变化趋向,降雪具有明显的洗脱清除作用。  相似文献   

19.
The variation in air quality was assessed from the ambient concentrations of various air pollutants [total suspended particle (TSP), particulate matter ≤10 μm (PM10), SO2, and NO2] for pre-Diwali, Diwali festival, post-Diwali, and foggy day (October, November, and December), Delhi (India), from 2002 to 2007. The extensive use of fireworks was found to be related to short-term variation in air quality. During the festival, TSP is almost of the same order as compared to the concentration at an industrial site in Delhi in all the years. However, the concentrations of PM10, SO2, and NO2 increased two to six times during the Diwali period when compared to the data reported for an industrial site. Similar trend was observed when the concentrations of pollutants were compared with values obtained for a typical foggy day each year in December. The levels of these pollutants observed during Diwali were found to be higher due to adverse meteorological conditions, i.e., decrease in 24 h average mixing height, temperature, and wind speed. The trend analysis shows that TSP, PM10, NO2, and SO2 concentration increased just before Diwali and reached to a maximum concentration on the day of the festival. The values gradually decreased after the festival. On Diwali day, 24-h values for TSP and PM10 in all the years from 2002 to 2007 and for NO2 in 2004 and 2007 were found to be higher than prescribed limits of National Ambient Air Quality Standards and exceptionally high (3.6 times) for PM10 in 2007. These results indicate that fireworks during the Diwali festival affected the ambient air quality adversely due to emission and accumulation of TSP, PM10, SO2, and NO2.  相似文献   

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