首页> 外文期刊>Journal of atmospheric and solar-terrestrial physics >Study of particulate matter of Akure, Nigeria using a sharp-cut inertial filter combined with an impactor-a preliminary study
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Study of particulate matter of Akure, Nigeria using a sharp-cut inertial filter combined with an impactor-a preliminary study

机译:利用锐切口惯性滤波器与突出型研究相结合的尼日利亚颗粒物质研究 - 初步研究

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摘要

In this study, the particulate matter (PM10) was studied over a six month period (from August 2017 to January 2018) at an urban and a suburban site (Akure, Ondo State, Nigeria). Three different sites were used, namely: Federal University of Technology, Akure (FUTA); the National Commission for Museum and Monuments, Akure, and Science and Education Development Institute (SEDInst), Oba Ile. The monthly PM10 in these locations during the studied period ranged from 60.73 to 287.97 mu m(3) at FUTA, 96.1-175.63 mu m(3) for the National Commission for Museum and Monuments, Akure, while it ranged from 92.72 to 204.48 mu m(3) at SEDInst. The results were compared with national and international standards. It was observed that the PM10 were above the recommended limits. Meteorological parameters (Rainfall, relative humidity (RH), temperature, precipitation, wind speed and direction) were obtained from a meteorological center and analyzed statistically. The essence in the study was to find out their relationship with PM10. The value of R of the PM10 samples had positive correlation with rain (r = 0.561, 0.820, 0.408), RH (r = 0.487, 0.799, 0.318), and precipitation (r = 0.388, 0.486, 0.784). There were strong correlations between RH and temperature (r = 0.741) and RH and wind (r = 0.977). This study suggested that individual meteorological factors had effects on PM10 concentration.
机译:在这项研究中,颗粒物质(PM10)在城市和郊区网站(Akure,Ondo State,尼日利亚)的六个月内(2017年8月至2018年1月)。使用了三个不同的网站,即:联邦理工大学,Akure(Futa);国家博物馆和纪念碑委员会,Akury和科学和教育发展研究所(Sedinst),Oba Ile。在研究期间,这些地点的每月PM10在Futa,96.1-175.63 mu M(3)中,为国家博物馆和纪念碑委员会,Akure委员会,而且它从92.72到204.48亩M(3)在Sedinst。结果与国家和国际标准进行了比较。观察到PM10高于推荐的限制。气象参数(降雨,相对湿度(RH),温度,沉淀,风速和方向)从气象中心获得并进行统计学分析。研究中的本质是找出与PM10的关系。 PM10样品的r的值与雨水(R = 0.561,0.820,0.408),RH(r = 0.487,0.799,0.318)和沉淀(r = 0.388,0.486,0.784)。 RH和温度之间存在强烈的相关性(r = 0.741)和RH和风(r = 0.977)。本研究表明,个体气象因素对PM10浓度有影响。

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