{"title":"Profile of atmospheric particulate PAHs near busy roadway in tropical megacity, India.","authors":"Saurabh Sonwani, Pallavi Saxena, P S Khillare","doi":"10.1080/08958378.2022.2030442","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> This study focuses on the profile of ambient particulate polycyclic aromatic hydrocarbons (PAHs), their seasonal distribution, source identification and human health risk assessment due to inhalation exposure of ambient PAHs in Delhi, India.<b>Materials and Methods:</b> Two sampling sites were chosen, one at roadway (MH) and other at urban background (JNU) site in Delhi. Determination of PAHs was carried with the help of HPLC with UV detector. Principal component analysis and Molecular diagnostic ratios were used for the source apportionment of PAHs. Health risks associated with inhalation of particulate PAHs were assessed using benzo(a)pyrene equivalent concentration and incremental lifetime cancer risk (ILCR) approach.<b>Results:</b> The results showed that the average mass concentration of Σ<sub>16</sub> PAHs near roadway (67.8 ± 40.2 ng m<sup>-3</sup>) is significantly higher than urban background site (56 ± 30 ng m<sup>-3</sup>). Moreover, source apportionment study indicated that major PAH-emission sources in Delhi NCR are traffic and coal combustion. ILCR values at both the sites fall in the range of 10<sup>-2</sup>-10<sup>-4</sup> that corresponds to the priority risk level (10<sup>-3</sup>) and higher than the acceptable risk level (10<sup>-6</sup>).<b>conclusions:</b> The high PAHs concentration at MH site was due to it's nearness to busy traffic area. Thus, the spatial variations in PAHs were influenced by local emission sources. The high PAHs level during the winter season can be due to their higher emissions from local heating sources, shift of gas/particle partitioning toward the particulate phase at low temperature and reduced photochemical degradation of some PAHs in winter. The low level of PAHs in monsoon season can be attributed to their wet scavenging and higher percentage in vapor phase. PCA showed that the emissions from vehicles predominate at MH site; whereas, coal combustion and traffic both are the significant PAHs sources at JNU site. Health risk assessment revealed that the highest exposure risks occur at busy traffic site, thereby indicating a significantly higher health risk to the population of Delhi.</p>","PeriodicalId":13561,"journal":{"name":"Inhalation Toxicology","volume":"34 1-2","pages":"39-50"},"PeriodicalIF":2.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inhalation Toxicology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/08958378.2022.2030442","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/2/3 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"TOXICOLOGY","Score":null,"Total":0}
引用次数: 7
Abstract
Objective: This study focuses on the profile of ambient particulate polycyclic aromatic hydrocarbons (PAHs), their seasonal distribution, source identification and human health risk assessment due to inhalation exposure of ambient PAHs in Delhi, India.Materials and Methods: Two sampling sites were chosen, one at roadway (MH) and other at urban background (JNU) site in Delhi. Determination of PAHs was carried with the help of HPLC with UV detector. Principal component analysis and Molecular diagnostic ratios were used for the source apportionment of PAHs. Health risks associated with inhalation of particulate PAHs were assessed using benzo(a)pyrene equivalent concentration and incremental lifetime cancer risk (ILCR) approach.Results: The results showed that the average mass concentration of Σ16 PAHs near roadway (67.8 ± 40.2 ng m-3) is significantly higher than urban background site (56 ± 30 ng m-3). Moreover, source apportionment study indicated that major PAH-emission sources in Delhi NCR are traffic and coal combustion. ILCR values at both the sites fall in the range of 10-2-10-4 that corresponds to the priority risk level (10-3) and higher than the acceptable risk level (10-6).conclusions: The high PAHs concentration at MH site was due to it's nearness to busy traffic area. Thus, the spatial variations in PAHs were influenced by local emission sources. The high PAHs level during the winter season can be due to their higher emissions from local heating sources, shift of gas/particle partitioning toward the particulate phase at low temperature and reduced photochemical degradation of some PAHs in winter. The low level of PAHs in monsoon season can be attributed to their wet scavenging and higher percentage in vapor phase. PCA showed that the emissions from vehicles predominate at MH site; whereas, coal combustion and traffic both are the significant PAHs sources at JNU site. Health risk assessment revealed that the highest exposure risks occur at busy traffic site, thereby indicating a significantly higher health risk to the population of Delhi.
目的:研究印度德里地区大气颗粒物多环芳烃(PAHs)的特征、季节分布、来源鉴定及吸入暴露对人体健康的风险评价。材料和方法:选择了两个采样点,一个在道路(MH),另一个在城市背景(JNU)站点。采用高效液相色谱法和紫外检测器对多环芳烃进行测定。采用主成分分析法和分子诊断比值法对多环芳烃源进行了分析。使用苯并(a)芘当量浓度和终生癌症风险增量(ILCR)方法评估了与吸入微粒多环芳烃相关的健康风险。结果:道路附近Σ16多环芳烃的平均质量浓度(67.8±40.2 ng m-3)显著高于城市背景点(56±30 ng m-3)。来源解析研究表明,德里NCR主要的多环芳烃排放源是交通和燃煤。两个地点的ILCR值都在10-2-10-4的范围内,对应于优先风险等级(10-3),高于可接受风险等级(10-6)。结论:MH厂址多环芳烃浓度高主要是由于厂址靠近交通繁忙区域所致。因此,多环芳烃的空间变化受到局地排放源的影响。冬季多环芳烃的高水平可能是由于当地热源的高排放、低温下气体/颗粒分配向颗粒阶段转移以及冬季部分多环芳烃的光化学降解减少所致。多环芳烃在季风季节的低水平可归因于它们的湿扫和更高的气相百分比。主成分分析表明,机动车排放在MH站点占主导地位;煤炭燃烧和交通运输都是多环芳烃的主要来源。健康风险评估显示,繁忙的交通场所暴露风险最高,从而表明德里人口的健康风险明显较高。
期刊介绍:
Inhalation Toxicology is a peer-reviewed publication providing a key forum for the latest accomplishments and advancements in concepts, approaches, and procedures presently being used to evaluate the health risk associated with airborne chemicals.
The journal publishes original research, reviews, symposia, and workshop topics involving the respiratory system’s functions in health and disease, the pathogenesis and mechanism of injury, the extrapolation of animal data to humans, the effects of inhaled substances on extra-pulmonary systems, as well as reliable and innovative models for predicting human disease.