Impacts of the Variations of Aerosols Components and Relative Humidity on the Visibility and Particles Size Distribution of the Desert Atmosphere

S. U. Yerima, U. Abdulkarim, B. Tijjani, U. M. Gana, M. Idris, S. G. Durumin-Iya, M. Sani, R. Aliyu, M. Shamsuddeen, U. Y. Khamisu, D. Abdulhadi
{"title":"Impacts of the Variations of Aerosols Components and Relative Humidity on the Visibility and Particles Size Distribution of the Desert Atmosphere","authors":"S. U. Yerima, U. Abdulkarim, B. Tijjani, U. M. Gana, M. Idris, S. G. Durumin-Iya, M. Sani, R. Aliyu, M. Shamsuddeen, U. Y. Khamisu, D. Abdulhadi","doi":"10.9734/ajr2p/2021/v4i330146","DOIUrl":null,"url":null,"abstract":"This paper investigates the Impact of relative humidity, varying the concentrations of water-soluble aerosol particle concentrations (WASO), Mineral Nuclei Mode Aerosols Particle Concentration (MINN), mineral accumulation mode, nonspherical (MIAN) aerosol particles concentrations and Mineral Coarse Mode Aerosols Particle Concentration (MICN) on the visibility and particles size distribution of desert aerosols based on microphysical properties of desert aerosols. The microphysical properties (the extinction coefficients, volume mix ratios, dry mode radii and wet mode radii) were extracted from Optical Properties of Aerosols and Clouds (OPAC 4.0) at eight relative humidities, RHs (00 to 99%) and at the spectral visible range of 0.4-0.8mm, the concentrations were varied to obtain five different models for each above-mentioned component. Regression analysis of some standard equations were used to determine the Angstrom exponent (α), the turbidity coefficient (β), the curvature (α2), humidification factor (), the mean exponent of aerosol growth curve (µ) and the mean exponent of aerosol size distributions (n). The values of angstrom exponent (α) were observed to be less than 1 throughout the five models at all RHs for the four studied components, and this signifies the dominance of coarse mode particles over fine mode particles. But the magnitude of the angstrom exponent (α) fluctuates all through the studied components except for WASO which increased with the increase in RH across the models and this also signifies the dominance of coarse mode particles with some traces of fine mode particles. The investigation also revealed that the curvature (α2) has both monomodal (negative signs) and bimodal (positive signs) types of distributions all through the five models and this also signifies the dominance of coarse mode particles with some traces of fine mode particles across the individual models for all the studied components. it was also found that the visibility decreased with the increase in RH and increased with the increase in wavelength. The investigation further revealed that the turbidity coefficient (β) fluctuates with the increase in RH and the particles concentrations, and this might be due to major coagulation and sedimentation. The analysis further found that there is a direct inverse power relation between the humidification factor and the mean exponent of aerosols size distribution with the mean exponent of aerosols growth curve. It was also found that as the magnitude of µ increased for MIAN, MINN and MICN, the effective hygroscopic growth  decreased. For WASO, it was found that as the magnitude of µ decreased, the effective hygroscopic growth  increased with the increase in particles concentrations and RH. The decreased in the magnitude of µ for WASO might be due to the fact that as we increase the non-hygroscopic particles, we decrease the deliquescence. The mean exponent of aerosol size distribution (n) being less than 3 shows foggy condition of the desert atmosphere the four investigated components and five studied models.","PeriodicalId":8529,"journal":{"name":"Asian Journal of Research and Reviews in Physics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Research and Reviews in Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ajr2p/2021/v4i330146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper investigates the Impact of relative humidity, varying the concentrations of water-soluble aerosol particle concentrations (WASO), Mineral Nuclei Mode Aerosols Particle Concentration (MINN), mineral accumulation mode, nonspherical (MIAN) aerosol particles concentrations and Mineral Coarse Mode Aerosols Particle Concentration (MICN) on the visibility and particles size distribution of desert aerosols based on microphysical properties of desert aerosols. The microphysical properties (the extinction coefficients, volume mix ratios, dry mode radii and wet mode radii) were extracted from Optical Properties of Aerosols and Clouds (OPAC 4.0) at eight relative humidities, RHs (00 to 99%) and at the spectral visible range of 0.4-0.8mm, the concentrations were varied to obtain five different models for each above-mentioned component. Regression analysis of some standard equations were used to determine the Angstrom exponent (α), the turbidity coefficient (β), the curvature (α2), humidification factor (), the mean exponent of aerosol growth curve (µ) and the mean exponent of aerosol size distributions (n). The values of angstrom exponent (α) were observed to be less than 1 throughout the five models at all RHs for the four studied components, and this signifies the dominance of coarse mode particles over fine mode particles. But the magnitude of the angstrom exponent (α) fluctuates all through the studied components except for WASO which increased with the increase in RH across the models and this also signifies the dominance of coarse mode particles with some traces of fine mode particles. The investigation also revealed that the curvature (α2) has both monomodal (negative signs) and bimodal (positive signs) types of distributions all through the five models and this also signifies the dominance of coarse mode particles with some traces of fine mode particles across the individual models for all the studied components. it was also found that the visibility decreased with the increase in RH and increased with the increase in wavelength. The investigation further revealed that the turbidity coefficient (β) fluctuates with the increase in RH and the particles concentrations, and this might be due to major coagulation and sedimentation. The analysis further found that there is a direct inverse power relation between the humidification factor and the mean exponent of aerosols size distribution with the mean exponent of aerosols growth curve. It was also found that as the magnitude of µ increased for MIAN, MINN and MICN, the effective hygroscopic growth  decreased. For WASO, it was found that as the magnitude of µ decreased, the effective hygroscopic growth  increased with the increase in particles concentrations and RH. The decreased in the magnitude of µ for WASO might be due to the fact that as we increase the non-hygroscopic particles, we decrease the deliquescence. The mean exponent of aerosol size distribution (n) being less than 3 shows foggy condition of the desert atmosphere the four investigated components and five studied models.
气溶胶组分和相对湿度变化对沙漠大气能见度和粒径分布的影响
基于沙漠气溶胶的微物理特性,研究了相对湿度、水溶性气溶胶粒子浓度(WASO)、矿物核模式气溶胶粒子浓度(MINN)、矿物堆积模式、非球形气溶胶粒子浓度(MIAN)和矿物粗粒模式气溶胶粒子浓度(MICN)对沙漠气溶胶可见度和粒径分布的影响。在8种相对湿度、RHs(00 ~ 99%)和0.4 ~ 0.8mm的光谱可见范围内,对气溶胶和云的微物理性质(消光系数、体积混合比、干模半径和湿模半径)进行了浓度变化,得到了上述各组分的5种不同模式。通过对一些标准方程的回归分析,确定了埃氏指数(α)、浊度系数(β)、曲率(α2)、湿化因子()、气溶胶生长曲线平均指数(µ)和气溶胶粒径分布平均指数(n)。在所有RHs下,5个模型中4个组分的埃氏指数(α)值均小于1,表明粗模态颗粒优于细模态颗粒。但埃指数(α)的大小在各模型中均有波动,除了WASO随相对湿度的增加而增加,这也表明粗模态粒子占主导地位,同时也有细模态粒子的痕迹。研究还发现,曲率(α2)在5个模型中均具有单模态(负号)和双峰态(正号)两种类型的分布,这也表明在所有研究组分的各个模型中,粗模态粒子占主导地位,并有一些细模态粒子的痕迹。能见度随相对湿度的增加而降低,随波长的增加而增加。浊度系数(β)随相对湿度和颗粒浓度的增加而波动,这可能是由于主要的混凝和沉降所致。进一步分析发现,湿化因子与气溶胶粒径分布的平均指数与气溶胶生长曲线的平均指数之间存在着直接的逆幂关系。同时发现,随着µ量级的增大,MIAN、MINN和MICN的有效吸湿性生长减小。对于WASO,发现随着µ量级的减小,有效吸湿生长随颗粒浓度和相对湿度的增加而增加。WASO的µ值减小可能是由于增加非吸湿性颗粒减少了潮解。气溶胶粒径分布(n)的平均指数小于3表示沙漠大气的多雾状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信