当前位置: X-MOL 学术Air Qual. Atmos. Health › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
PM10 temporal variation and multi-scale contributions of sources and meteorology in Sfax, Tunisia
Air Quality, Atmosphere & Health ( IF 5.1 ) Pub Date : 2020-04-20 , DOI: 10.1007/s11869-020-00824-8
Rym Dammak , Iness Chabbi , Moez Bahloul , Chafai Azri

The study of PM10 temporal variation for two successive years (2009 and 2010), carried out at the proximity of a crossroad (≈ 41,390 vehicles per day) located in an urban centre in Sfax, Tunisia, showed comparable annual average concentrations (≈ 80 μg/m3). However, monthly and daily average concentration levels have been significantly variable. Moreover, the monthly average concentration levels have revealed almost similar tendencies to those observed in other Mediterranean regions, signalling the highest ones between winter and spring periods. High PM10 concentration levels, including the winter-spring peak, have been more significant due to the Saharan wind circulation. Complementary statistical approaches, concerning the simple linear regression, the factorial analysis of correspondences, the quality of representation, and the hierarchical cluster analysis, have revealed the simultaneous impact of local sources and extreme meteorological conditions on highly registered PM10 concentrations, particularly in the presence of an obstacle such as buildings. The investigation of Air Quality Health Index (AQHI) has exhibited that more than 60% of the period in focus has been characterized by good-to-fair air quality for the ordinary people. The remainder has been characterized by poor to very poor air quality for the same kind of people. Furthermore, more than 70% of the whole period has been found unhealthy for sensitive groups, hindering them from any outdoor activities.

中文翻译:

突尼斯斯法克斯 PM10 时间变化和源和气象的多尺度贡献

在位于突尼斯斯法克斯市中心的十字路口附近(每天约 41,390 辆汽车)连续两年(2009 年和 2010 年)对 PM10 的时间变化进行了研究,结果表明年平均浓度相当(约 80 微克) /立方米)。然而,每月和每天的平均浓度水平变化很大。此外,月平均浓度水平显示出与其他地中海地区观察到的几乎相似的趋势,表明冬季和春季之间的浓度最高。由于撒哈拉风环流,高 PM10 浓度水平(包括冬春季峰)更为显着。补充统计方法,关于简单线性回归,对应的因子分析,表示质量,和层次聚类分析揭示了本地来源和极端气象条件对高度记录的 PM10 浓度的同时影响,特别是在存在建筑物等障碍物的情况下。空气质量健康指数(AQHI)的调查显示,60%以上的重点时段的空气质量为普通民众从良好到公平的特征。其余的特点是对同类人来说空气质量差到非常差。此外,整个时期超过 70% 的时间对敏感群体来说是不健康的,阻碍了他们进行任何户外活动。尤其是在有障碍物(如建筑物)的情况下。空气质量健康指数(AQHI)的调查显示,60%以上的重点时段的空气质量为普通民众从良好到公平的特征。其余的特点是对同类人来说空气质量差到非常差。此外,整个时期超过 70% 的时间对敏感群体来说是不健康的,阻碍了他们进行任何户外活动。尤其是在有障碍物(如建筑物)的情况下。空气质量健康指数(AQHI)的调查显示,60%以上的重点时段的空气质量为普通民众从良好到公平的特征。其余的特点是对同类人来说空气质量差到非常差。此外,整个时期超过 70% 的时间对敏感群体来说是不健康的,阻碍了他们进行任何户外活动。
更新日期:2020-04-20
down
wechat
bug