共查询到20条相似文献,搜索用时 203 毫秒
1.
环境空气质量新标准对珠三角区域站空气质量评价的影响 总被引:4,自引:4,他引:0
利用粤港珠三角区域空气质量监控网中天湖、金果湾与万顷沙3个区域站2010年全年SO2、NO2、PM10、O3、PM2.5与CO自动监测的数据,分析了实施环境空气质量新标准(GB 3095—2012)对这3个子站空气质量评价的影响。研究发现,若采用新标准,万顷沙的NO2、PM10和PM2.5年均浓度将不同程度超标。这3个子站空气质量达标率下降7~28个百分点,空气污染指数从91%~99%下降至63%~91%;O3的引入是导致空气质量达标率下降的最主要的原因;O3将取代PM10成为最主要的首要污染物,出现频率大于50%,且O3(8 h)平均浓度的影响大于O3 (1 h)浓度的影响。PM2.5的纳入也是导致空气质量达标率下降的重要因素,其超标率为3%(金果湾)~16%(万顷沙)。NO2标准的收严未对天湖与金果湾空气质量评价造成影响,但导致万顷沙NO2的超标率从2%上升至10%,且NO2作为首要污染物的比例达24%。 相似文献
2.
Zabalza J Ogulei D Elustondo D Santamaría JM Alastuey A Querol X Hopke PK 《Environmental monitoring and assessment》2007,134(1-3):137-151
An ambient air quality study was undertaken in two cities (Pamplona and Alsasua) of the Province of Navarre in northern Spain
from July 2001 to June 2004. The data were obtained from two urban monitoring sites. At both monitoring sites, ambient levels
of ozone, NOx, and SO2 were measured. Simultaneously with levels of PM10 measured at Alsasua (using a laser particle counter), PM10 levels were also determined at Pamplona (using a beta attenuation monitor). Mean annual PM10 concentrations in Pamplona and Alsasua reached 30 and 28 μg m−3, respectively. These concentrations are typical for urban background sites in Northern Spain. By using meteorological information
and back trajectories, it was found that the number of exceedances of the daily PM10 limit as well as the PM10 temporal variation was highly influenced by air masses from North Africa. Although North African transport was observed on
only 9% of the days, it contributed the highest observed PM10 levels. Transport from the Atlantic Ocean was observed on 68% of the days; transport from Europe on 13%; low transport and
local influences on 7%; and transport from the Mediterranean region on 3% of the days. The mean O3 concentrations were 45 and 55 μg m−3 in Pamplona and Alsasua, respectively, which were above the values reported for the main Spanish cities. The mean NO and
NO2 levels were very similar in both sites (12 and 26 μg m−3, respectively). Mean SO2 levels were 8 μg m−3 in Pamplona and 5 μg m−3 in Alsasua. Hourly levels of PM10, NO and NO2 showed similar variations with the typically two coincident maximums during traffic rush hours demonstrating a major anthropogenic
origin of PM10, in spite of the sporadic dust outbreaks. 相似文献
3.
根据天津市秋季(2006年10月10日~20日)消光系数(bext)、PM2.5、SO2、NOX、NO2、O3质量浓度及相对湿度监测结果,利用灰色关联分析法分析大气消光系数同空气中的几种主要污染要素的相关性。结果表明,与消光系数有关的几种主要指标的灰关联度序为PM2.5NOXRHNO2O3,其中PM2.5与消光系数的灰关联系数达到0.905,远高于其他相关指标。同时对PM2.5和消光系数相关分析表明,监测期间天津市PM2.5质量消光系数为6.04m2/g。 相似文献
4.
利用2015—2017年春节期间东北地区主要大气污染物(PM_(10)、PM_(2.5)、SO_2、NO_2、CO和O3)质量浓度监测资料及相应气象因子(温度、湿度、风速和气压)观测资料,分析了春节期间烟花爆竹禁燃对东北地区空气质量的影响。结果表明:随着东北地区主要城市禁燃力度的增强,空气质量逐年提升,PM_(2.5)和SO_2浓度逐年大幅度下降。禁燃可明显降低城区PM_(2.5)浓度,而由于春节期间污染源整体减少,城区和城郊监测点PM_(2.5)浓度值差异减小。烟花爆竹对PM_(10)和PM_(2.5)浓度影响高于对气体污染物SO_2、NO_2和CO的影响。此外,气象条件对东北地区春节期间禁燃改善空气质量的效果也有明显影响。因此,结合春节期间的气象条件,在东北地区实施禁燃政策动态调整非常必要。 相似文献
5.
2001年~2008年及奥运会期间天津市大气污染特征分析 总被引:1,自引:1,他引:0
根据天津市大气质量监测数据,对2001年~2008年及奥运会期间天津市大气污染特征和主要大气污染物的变化规律进行了分析。结果表明,2001年~2008年天津市的PM10、SO2和NO2污染总体呈下降趋势,但质量浓度仍相对较高。2008年8月奥运会期间天津市PM10和SO2质量浓度达到国家空气质量二级标准,NO2质量浓度达到国家空气质量一级标准,空气质量良好。天津市PM10污染相对稳定,SO2和NO2的污染分布呈现明显的季节性,时间上表现为冬强夏弱。气象条件对污染物浓度影响明显,沙尘、大雾等天气可使污染物浓度急剧升高。 相似文献
6.
Ambient concentrations of PM2.5 and PM10 are of concern with respect to effects on human health and environment. Increased levels of mortality and morbidity have been associated with respirable particulate air pollution. In India, it is not yet mandatory to monitor PM2.5 levels therefore very limited information is available on PM2.5 levels. To understand the fine particle pollution and also correlate with PM10 which are monitored regularly in compliance with ambient air quality standards. This study was carried out to monitor PM2.5, PM10, and NO2 for about one year in a residential cum commercial area of Mumbai city with a view to understand their correlation. The average PM2.5 concentration at ambient and Kerbsite was 43 and 69 μg/m3. The correlation coefficients between PM2.5 and PM10 at ambient and Kerbsite were 0.83 and 0.85 respectively thus indicating that most of the PM2.5 and PM10 are from similar sources. TSP, PM10 levels exceeded Central Pollution Control Board(CPCB) standard during winter season. PM2.5 levels also exceeded 24 hourly average USEPA standard during winter season indicating unhealthy air quality. 相似文献
7.
基于聚类分析的颗粒物监测网络优化研究 总被引:1,自引:0,他引:1
为了优化香港环境监测网络,收集香港14个监测站2011年1月1日至2015年11月30日的颗粒物PM_(2.5)、PM_(10)的小时数据进行统计分析。对PM_(2.5)进行聚类,并利用日均浓度变化图进行验证,结果表明,可将监测站分为4类(A、B、C、D类),A类位于城市郊区,B类则位于港口附近,且A、B类的PM_(2.5)日变化特征均呈现双峰型分布,峰值分别出现在09:00和21:00。对PM_(10)进行类似分析结果表明,监测站同样可以分为4类,A类位于九龙区,B类则位于港口附近,而且A、B类的PM_(10)日变化双峰分别出现在11:00和20:00左右。说明污染源头及地形的相似致使某些监测站颗粒物浓度的变化出现相同的趋势,导致监测设备的浪费和管理的冗余。建议建立更高效的空气管理系统,将冗余设备转移到其他地区,扩大空气监控区域。对PM_(2.5)/PM_(10)聚类结果表明,将监测站分为4类,B类均属于路边站,C类则位于居民区。同时还发现同类监测站PM_(2.5)/PM_(10)数值变化相同,并且可以用其中一个站的PM_(2.5)和PM_(10)浓度及另一个站的PM_(2.5)或PM_(10)浓度预测PM_(2.5)或PM_(10)浓度,为优化监测资源提供了一种新的思路。 相似文献
8.
宁波市区冬季大气颗粒物及其主要组分的污染特征分析 总被引:7,自引:4,他引:3
为了更好地研究影响宁波市区环境空气质量的污染物变化特征,于2010年1月20—30日进行了加强监测。研究结果表明,宁波市区大气中PM10和PM2.5质量浓度较高,其中PM2.5/PM10为0.5~0.85。对PM10和PM2.5采样膜分析,水溶性粒子和含碳组分分别占PM10和PM2.5质量浓度的56.7%和66.9%,其中二次污染的水溶性离子SO42-、NO3-和NH4+是PM10和PM2.5中浓度较高的离子组分;PM2.5样品中OC与EC的相关性较好,表明OC与EC的来源相对一致,可能主要来自机动车尾气的贡献;但PM10样品中OC与EC的相关性较差,表明其来源相对复杂;其中SOC的浓度占OC的13%~35%,说明宁波市区冬季导致二次污染的光化学反应不活跃。 相似文献
9.
In this study, the relationship between inhalable particulate (PM10), fine particulate (PM2.5), coarse particles (PM2.5 – 10) and meteorological parameters such as temperature, relative humidity, solar radiation, wind speed were statistically analyzed and modelled for urban area of Kolkata during winter months of 2003–2004. Ambient air quality was monitored with a sampling frequency of twenty-four hours at three monitoring sites located near traffic intersections and in an industrial area. The monitoring sites were located 3–5 m above ground near highly trafficked and congested areas. The 24 h average PM10 and PM2.5 samples were collected using Thermo-Andersen high volume samplers and exposed filter papers were extracted and analysed for benzene soluble organic fraction. The ratios between PM2.5 and PM10 were found to be in the range of 0.6 to 0.92 and the highest ratio was found in the most polluted urban site. Statistical analysis has shown a strong positive correlation between PM10 and PM2.5 and inverse correlation was observed between particulate matter (PM10 and PM2.5) and wind speed. Statistical analysis of air quality data shows that PM10 and PM2.5 are showing poor correlation with temperature, relative humidity and solar radiation. Regression equations for PM10 and PM2.5 and meteorological parameters were developed. The organic fraction of particulate matter soluble in benzene is an indication of poly aromatic hydrocarbon (PAH) concentration present in particulate matter. The relationship between the benzene soluble organic fraction (BSOF) of inhalable particulate (PM10) and fine particulate (PM2.5) were analysed for urban area of Kolkata. Significant positive correlation was observed between benzene soluble organic fraction of PM10 (BSM10) and benzene soluble organic fraction of PM2.5 (BSM2.5). Regression equations for BSM10 and BSM2.5 were developed. 相似文献
10.
依托北京市、廊坊市和保定市高密度的地面空气质量监测、气象要素监测以及PM2.5化学组分监测和后向轨迹分析等手段,对2017年上半年三地的空气质量进行分析。研究发现:三地中北京市空气质量较好,保定市较差。分污染物来看,保定市SO2浓度水平明显高于廊坊市和北京市,颗粒物PM10和PM2.5也呈现保定市最高、北京市最低的规律。从污染物日变化来看,CO、SO2、NO2、PM10和PM2.5呈双峰型分布,O3呈单峰型分布。从区域整体分布规律来看,PM2.5和SO2呈现明显的"南高北低"特征。PM2.5化学组分分析结果表明:1—4月燃煤对该区域空气质量的影响较大,5—6月机动车排放的影响更为凸显。后向轨迹分析结果表明:在2017年上半年到达北京市的气流中有24%来自于北京市南部,且这些气流多为低空传输,表明区域传输对于北京市空气质量具有一定的影响。 相似文献
11.
Ravindra K Wauters E Tyagi SK Mor S Van Grieken R 《Environmental monitoring and assessment》2006,115(1-3):405-417
Public transport in Delhi was amended by the Supreme Court of India to use Compressed Natural Gas (CNG) instead of diesel or petrol. After the implementation of CNG since April 2001, Delhi has the highest fraction of CNG-run public vehicles in the world and most of them were introduced within 20 months. In the present study, the concentrations of various criteria air pollutants (SPM, PM10, CO, SO2 and NOx) and organic pollutants such as benzene, toluene, xylene (BTX) and polycyclic aromatic hydrocarbons (PAHs) were assessed before and after the implementation of CNG. A decreasing trend was found for PAHs, SO2 and CO concentrations, while the NOx level was increased in comparison to those before the implementation of CNG. Further, SPM, PM10, and BTX concentrations showed no significant change after the implementation of CNG. However, the BTX concentration demonstrated a clear relation with the benzene content of gasoline. In addition to the impact of the introduction of CNG the daily variation in PAHs levels was also studied and the PAHs concentrations were observed to be relatively high between 10 pm to 6 am, which gives a proof of a relation with the limited day entry and movement of heavy vehicles in Delhi. 相似文献
12.
利用山西省11个地级市大气环境监测站的PM2.5、PM10和O3浓度数据,分析了2015—2020年山西省PM2.5、PM10和O3浓度时空变化特征,采用空间计量模型和岭回归方法,分析了空气污染对公众健康的空间影响。结果表明:PM2.5和PM10年均质量浓度总体下降,两者在2017年最高,2020年最低;O3年均浓度总体增加。在季节尺度上,PM2.5和PM10质量浓度在冬季的12月和1月最高,夏季的8月最低;O3浓度在6月最高。空间上,相较2015年,2020年山西省各地级市PM2.5污染程度均有改善,其中长治改善效果最好;2020年山西各地级市PM10污染兼有加重和减轻的情形,所有地级市PM2.5和PM10污染水平均超过国家二级污染浓度限值;2020年山西多数地级市O3浓度升高。山西公众健康水平具有明显的空间离散特征,PM2.5和PM10浓度的局部空间自相关特征高度一致,呈现"南高北低"的格局,O3浓度分布呈"南部高,中北部低"的格局。大气环境质量和经济发展水平均对医疗机构诊疗人数和健康体检人数的变化有正向影响,每万人卫生技术人员数量和公共财政支出比例对公众健康均有负向影响,其中经济发展水平和大气环境质量的影响最显著。山西省PM2.5治理取得一定成效,但大部分城市PM2.5和PM10达标率较低,O3浓度有持续升高的趋势,PM10和O3污染改善缓慢,深度减排仍面临挑战。PM2.5和PM10是危害山西公众健康的主要大气污染物,未来需要加强PM2.5、PM10和O3的精细化管理及协同治理。 相似文献
13.
Ports can generate large quantity of pollutants in the atmosphere due to various activities like loading and unloading,transportation, and construction operations. Determination of the character and quantity of emissions from individual sources is an essential step in any project to control and minimize the emissions.In this study a detailed emission inventory of total suspendedparticulate matter (TSP), particulate matter less than 10 m(PM10), sulfur dioxide (SO2) and nitrogen oxides (NOx) for a port and harbour project near Mumbai is compiled. Results show that the total annual average contributions of TSP and PM10 from all the port activitieswere 872 and 221 t yr-1, respectively. Annual average emissions of gaseous pollutants SO2 and NOxwere 56 and 397 t yr-1, respectively, calculatedby using emission factors for different port activities. The maximum TSP emission (419 t yr -1) was from paved roads, while the least (0.4 t yr-1) was from bulk handling activity. The maximum PM10 emission (123 t yr-1) was from unpaved roads and minimum (0.2 t yr-1) from bulk handling operations. Similarly the ratio of TSP and PM10 emission was highest (5.18) from paved roads and least (2.17) from bulk handling operations. Regression relation was derivedfrom existing emission data of TSP and PM10 from variousport activities. Good correlation was observed between TSP andPM10 having regression coefficient >0.8. 相似文献
14.
15.
以黑龙江省生态环境监测网监测结果为基础,总结归纳了"十三五"期间黑龙江省生态环境质量变化特征,并采用随机森林和GM(1,1)预测模型对"十四五"期间黑龙江省生态环境质量状况进行了预测。结果表明:"十三五"期间,黑龙江省环境空气、水环境和声环境质量全面好转。其中,环境空气主要污染物PM2.5、PM10、SO2、NO2和CO的年均质量浓度均呈现出明显下降的趋势,"哈大绥"重点区域PM10、SO2、NO2和CO年均质量浓度呈现下降趋势。地表水水质总体呈波动变化趋势,水质状况均为轻度污染。"十四五"期间,黑龙江省生态环境质量将处于稳中向好的趋势。环境空气主要污染物及地表水主要污染指标年均质量浓度均呈现明显的下降趋势,道路交通声环境质量也将得到进一步改善。 相似文献
16.
17.
The air quality Framework Directive (FWD) and the correspondent Daughter Directives defined the new strategy for air quality management in Europe. In general, the new standards are more restrictive than those established by the previous legislation. In Portugal, some difficulties can be previewed to achieve those new standards. Thus, this paper aims at evaluating the impact of application of the FWD to Oporto Metropolitan Area in what concerns to the most critical air pollutants in the area (PM10 and O3). The specific objectives were: i) to analyse the concentration exceedances between 1999 and 2001; ii) to identify the main emission sources; iii) to evaluate the possibility of a new redistribution of the existing monitoring sites; iv) to contribute to the definition of a new strategy for air quality management. The results showed that; i) the standard values for PM10 and O3 were largely surpassed, possibly concluding that the FWD application implies a strong impact on the air quality management strategies; ii) the main emission sources (road traffic and the neighbour stationary sources localised upwind) affect all the Metropolitan area through intra-region pollutant transport; iii) it is safer maintaining the site localisation to avoid previewing exceedances through mathematical correlations; iv) the reduction of PM10 and of ozone precursors must be performed considering new technologies for cleaner production and gaseous depuration, a rigorous urban and territory planning, the creation of an efficient public transport network and the definition of strict measures for car maintenance. 相似文献
18.
分析了SHERPA综合评价模型的基本原理和主要建模理念,重点介绍了其在环境空气质量减排情景模拟评估方面的作用,以及在排放源与受体关系(SRR)方面的处理方法,比较了其与欧盟常用的其他情景模拟模型的优缺点。SHERPA模型的特点是空间灵活性较好,对于任何给定地点,可以快速评估不同地区对该研究地点空气质量的影响。SHERPA模型的3个主要功能为污染物来源分析、决策支持和情景模拟。基于SHERPA模型对法国环境空气中PM_(2.5)、PM_(10)和NO_2年均浓度进行污染来源分析、决策支持分析和减排情景模拟评估,展示了模型在环境治理措施优先级筛选和政府间联合治理措施协调建议方面的功能和作用,以期为中国环境空气质量预测预报、环境质量管理措施的制定和成效评估等环境服务与管理工作提供借鉴。 相似文献
19.
This research paper aims at establishing baseline PM10 and PM2.5 concentration levels, which could be effectively used to develop and upgrade the standards in air pollution in developing countries. The relative contribution of fine fractions (PM2.5) and coarser fractions (PM10-2.5) to PM10 fractions were investigates in a megacity which is overcrowded and congested due to lack of road network and deteriorated air quality because of vehicular pollution. The present study was carried out during the winter of 2002. The average 24h PM10 concentration was 304 μg/m3, which is 3 times more than the Indian National Ambient Air Quality Standards (NAAQS) and higher PM10 concentration was due to fine fraction (PM2.5) released by vehicular exhaust. The 24h average PM2.5 concentration was found 179 μg/m3, which is exceeded USEPA and EU standards of 65 and 50 μg/m3 respectively for the winter. India does not have any PM2.5 standards. The 24 h average PM10-2.5 concentrations were found 126 μg/m3. The PM2.5 constituted more than 59% of PM10 and whereas PM10-PM2.5 fractions constituted 41% of PM10. The correlation between PM10 and PM2.5 was found higher as PM2.5 comprised major proportion of PM10 fractions contributed by vehicular emissions. 相似文献
20.
北京地区不同季节PM2.5和PM10浓度对地面气象因素的响应 总被引:1,自引:0,他引:1
利用2013年1月—2014年12月北京地区PM_(2.5)和PM_(10)监测数据和同期近地面气象观测数据,采用非参数分析法(Spearman秩相关系数)研究了北京地区PM_(2.5)和PM_(10)的浓度对不同季节地面气象因素的响应。结果表明:北京地区大气颗粒物浓度水平具有明显的季节特征,冬季大气颗粒物污染最严重,夏季最轻。不同季节影响颗粒物浓度水平的气象因素各不相同,其中风速和日照时数为主要影响因素。PM_(2.5)和PM_(10)质量浓度对气象因素变化的响应程度也有较大区别,PM_(2.5)/PM_(10)比值冬季最高,PM_(2.5)影响最大,春季最低,PM_(10)影响最大。这些结论可对制订科学有效的大气污染控制策略提供参考。 相似文献