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دسته‌بندی ذرات معلق جوی با استفاده از داده‌های پارامتر درجه قطبش خطی شیدسنج‌خورشیدی | ||
| فیزیک زمین و فضا | ||
| مقاله 13، دوره 49، شماره 2، شهریور 1402، صفحه 491-502 اصل مقاله (1.79 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jesphys.2023.347185.1007451 | ||
| نویسندگان | ||
| علی بیات* ؛ امیر جعفری | ||
| ﮔﺮوه فیزیک، داﻧﺸﻜﺪه ﻋﻠﻮم، داﻧﺸﮕﺎه زﻧﺠﺎن، زﻧﺠﺎن، اﻳﺮان. | ||
| چکیده | ||
| هواویزها ذرات ریز جامد یا مایع معلق در هوا هستند که اثرات مهمی بر سلامتی انسان‌ها، تغییرات اقلیمی، کیفیت هوا و بودجه تابشی جو زمین دارند. دسته‌بندی انواع مختلف آنها تأثیر بسیار زیادی در تخمین دقیق اثرات آنها در تغییرات اقلیمی دارد. در این مقاله قصد داریم انواع مختلف ذرات جوی را با استفاده از اندازه‌گیری‌های مد قطبیده شیدسنج خورشیدی دسته‌بندی کنیم. به همین منظور، داده‌های چهار سایت بانزیمبو، پکن، آل-آرنسیلو و مینسک که به‌ترتیب دارای هواویز غالب غباری، شهری-صنعتی، دریایی و زیست‌توده هستند، از شبکه ارونت انتخاب شدند. در اینجا از سه پارامتر عمق‌اپتیکی هواویزها، نمای آنگستروم و درجه قطبش خطی استخراج شده از داده‌های شیدسنج خورشیدی استفاده شده است. نتایج نشان می‌دهند که میانگین پارامتر بیشینه مقدار درجه قطبش خطی (انحراف معیار) در طولموج 870 نانومتر برای هواویز غالب غباری (بانزیمبو)، شهری-صنعتی (پکن)، دریایی (آل-آرنسیلو) و زیست‌توده (مینسک) به‌ترتیب برابر 14/0 (05/0)، 35/0 (10/0)، 47/0 (08/0) و 37/0 (08/0) هستند. در نهایت نتایج نشان می‌دهند که پارامتر درجه‌قطبش‌‌خطی قادر به جداسازی هواویزهای غباری، شهری-صنعتی و دریایی از یکدیگر است. اما هواویزهای زیست‌توده همپوشانی زیادی با هواویزهای شهری-صنعتی دارد و این پارامتر توانایی جداسازی آنها را ندارد. | ||
| کلیدواژه‌ها | ||
| هواویزها؛ شیدسنج خورشیدی؛ دسته‌بندی؛ درجه قطبش خطی؛ غبار | ||
| عنوان مقاله [English] | ||
| Categorization of atmospheric suspended particles using degree of linear polarization parameter data of sun-photometer | ||
| نویسندگان [English] | ||
| Ali Bayat؛ Amir Jafari | ||
| Department of Physics, Faculty of Science, University of Zanjan, Zanjan, Iran. | ||
| چکیده [English] | ||
| Aerosols are solid or liquid particles suspended in the earth's atmosphere, which enter the earth's atmosphere from both natural and human sources. The wind blowing in the deserts, the evaporation of oceans and seas, the eruption of volcanoes, and the burning of forests and pastures are natural sources, and the burning of fossil fuels and the change of the earth's surface cover are human sources of their production. Aerosols can be classified into four types: dusty, marine, urban-industrial, and biomass burning particles. Due to the significant temporal and spatial changes of aerosols and for properly understand their climatic effects, we need to use long-term measurements of satellites and ground-based instruments. Measurements made from space and ground have allowed us to have a detailed view of the properties and effects of different types of atmospheric particles. Ground-based remote sensing is one of the powerful methods for determining the optical and physical properties of atmospheric aerosols. The sun-photometer (SPM) is a spectrometer that records the intensity of the sun's radiation usually in four wavelength channels of 440, 675, 870, and 1020 nm in two modes of measuring the sun and the sky with a limited viewing angle of 1.2 degrees during the day. Spectral aerosol optical depth, columnar water vapor, Angstrom exponent, single scattering albedo, polarized phase function, the real and imaginary refractive index of aerosols, and degree of linear polarization of sunlight are characteristics of atmospheric particles that are extracted from SPM measurements. There are different methods for classifying aerosols using data extracted from SPM measurements. One of the most common methods is to use aerosol optical depth data (a measure of the amount of atmospheric suspended particles) in terms of the Angstrom exponent (a qualitative measure of the dimensions of atmospheric particles). By combining other parameters obtained from the mode of the sun and the sky of the SPM, such as the aerosol optical depth, Angstrom exponent, particle size distribution, and refractive index, atmospheric aerosols can be classified. Our aim in this article is to investigate the ability of the degree of linear polarization parameter to classify the atmospheric particles. The degree of linear polarization measures the linear polarization of sunlight scattered by atmospheric particles (molecules and aerosols). For this purpose, the data of four sites of Banizoumbou, Beijing, El-Arenosillo, and Minsk, which have dusty, urban-industrial, marine, and biomass-dominant particles, respectively, were selected from the AERONET (AErosol RObotic NETwork) data. This paper uses three parameters of aerosol optical depth, Angstrom exponent, and degree of linear polarization extracted from SPM data. The results show that the maximum value of the degree of linear polarization (standard deviation) at the wavelength of 870 nm for dusty (Banizoumbou), urban-industrial (Beijing), marine (El-Arenosillo) and biomass (Minsk) aerosols are equal to 0.14 (0.05), 0.35 (0.10), 0.47 (0.08) and 0.37 (0.08) respectively. Therefore, the parameter of the degree of linear polarization is able to separate dusty, urban-industrial, and marine atmospheric particles from each other. However, biomass particles overlap a lot with urban-industrial aerosols and cannot be separated from each other. | ||
| کلیدواژه‌ها [English] | ||
| Aerosols, dust, Sun-photometer, Degree of linear polarization, Categorization | ||
| مراجع | ||
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