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Airborne fungal spore concentration in an industrial township: distribution and relation with meteorological parameters

机译:在工业乡镇的空中真菌孢子浓度:与气象参数分发和关系

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Bioaerosols are reported to affect human health and cause chronic inflammation to the respiratory system, leading to its temporary or permanent damage. This study aims to perform the qualitative assessment of ambient air of Barrackpore, an industrial township of West Bengal, India, by analysing the airborne fungal spore diversity for two consecutive years. The spores of ambient air were trapped using Burkard 7-day volumetric sampler from June 2014 to May 2016. The association of major fungal taxa with environmental parameters was analysed by Spearman's rank correlation coefficient and multiple regression analysis to identify the significant predictors. The daily average ambient fungal spore concentration was 3526.38 +/- 2709.32 spores m(-3). Ascospore, basidiospore,PericoniaandAspergillus/Penicilliumspp. accounted for more than 65% of observed fungi, resulting in the major fungal taxa. A significant association of dominant fungi with meteorological parameters and air pollutants was observed. Additionally, stepwise multiple regression analysis pointed out that dewpoint, wind speed, particulate matter with an aerodynamic diameter = 2.5(PM2.5) and atmospheric nitrogen dioxide concentration (NO2) are the significant predictors for dominant fungi. Analysis of daily ambient fungal spore concentration and determining their environmental determinants will give an insight into the ambient air quality of the residential area of Barrackpore, for the first time. The acquired data can be used to evaluate the health impact on the residents of an unevaluated industrial township of India.
机译:据报道,生物皂醇会影响人类健康并导致慢性炎症到呼吸系统,导致其暂时性或永久性损害。本研究旨在通过分析连续两年的空中真菌孢子多样性,对印度西孟加拉邦的工业乡,租战的营房环境空气的定性评估。从2014年6月至2016年5月,伯克德7日容量取样器捕获了环境空气的孢子。通过Spearman的等级相关系数和多元回归分析分析了与环境参数的主要真菌分类群协会,以确定重要预测因子。每日平均环境真菌孢子浓度为3526.38 +/- 2709.32孢子M(-3)。 Ascospore,斯巴西亚孢子,Periconiaandaspergillus / penicilliumspp。占观察到真菌的65%以上,导致主要的真菌分类群。观察到具有气象参数和空气污染物的显性真菌的重要组合。另外,逐步多元回归分析指出露点,风速,具有空气动力学直径的颗粒物质<= 2.5(PM2.5)和大气氮二氧化铈浓度(NO2)是显性真菌的重要预测因子。每日环境真菌孢子浓度分析并确定其环境决定簇将深入了解梭子的住宅区的环境空气质量。所获得的数据可用于评估对印度未评估的工业乡镇居民的健康影响。

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