Aerosol climatology over the Mexico City basin: Characterization of optical properties

Carabalí, Giovanni; Estévez, Héctor; Valdés-Barrón, Mauro; Bonifaz-Alfonzo, Roberto; Riveros-Rosas, David; Herrera, Víctor Manuel Velasco; Vázquez-Gálvez, Felipe Adrián

doi:10.1016/j.atmosres.2017.04.035

Cited by 21 publications

(23 citation statements)

References 66 publications

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“…In rural settlements, Gandhavi et al (2010) explained the two peaks found in their work as a result of burning wood and other types of biomass for cooking. The mean AOD value in 2015 at 500 nm was 0.34 ± 0.07, which is in agreement with the value obtained by Carabali et al (2017) for the period 1999-2014 at the same location. In 2015, the highest AOD was 0.51 in December and the lowest value was 0.23 in February.…”

Section: Resultssupporting

confidence: 90%

“…Despite major "cooling" inorganic and organic components of aerosol in Mexico City, the BC fraction is high enough to produce a significant radiative forcing in the atmosphere, comparable to many polluted Asian cities (Table III). Our results are in agreement to those of Carabali et al (2017), who found that aerosols in Mexico City are mainly absorptive after analyzing a 15-yr period.…”

Section: Discussionsupporting

confidence: 93%

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Black carbon radiative forcing in south Mexico City, 2015

Cruz-Núñez¹

2019

Atm

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El carbono negro (CN) es un poderoso forzante radiativo. Debido a sus múltiples efectos en el cambio climático, el CN ha sido ubicado como el segundo factor de impacto del cambio climático en orden de importancia, sólo después del dióxido de carbono. Las fuentes de CN incluyen principalmente los vehículos a diésel y la quema de biomasa. Los compromisos de mitigación de México en el Acuerdo de París son, entre otros la reducción de emisiones de CN hasta un 51% en 2030, en comparación con las de 2000. Para conocer la contribución exacta del CN al inventario de emisiones de México es necesario estimar varias de las propiedades de este compuesto, como su forzamiento radiativo y sus efectos en el calentamiento de la atmósfera, entre otros. En este trabajo se utilizó una técnica basada en los datos disponibles tanto de teledetección como de mediciones en superficie, junto con el programa Optical Properties of Aerosols and Clouds (OPAC) y el algoritmo Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART) para estimar el forzamiento radiativo del carbono negro en el sur de la Ciudad de México durante 2015. Las mediciones en tierra se tomaron de una red de monitoreo recientemente creada, la Aerosol Robotic Network (AERONET), y las mediciones satelitales se obtuvieron del Moderate Resolution Imaging Spectroradiometer (MODIS). Las concentraciones mensuales de carbono negro a lo largo de 2015 fluctuaron entre 1.9 y 4.1 μg/m 3. Los resultados muestran que el forzamiento radiativo promedio mensual en la parte superior de la atmósfera sobre el sur de la Ciudad de México durante 2015 fue de +30.2 ± 6.2 W m-2. Los meses de noviembre, diciembre y enero presentaron los valores de forzamiento radiativo más altos (+34.9, +46.9, +34.0, respectivamente). Además, las estimaciones de calentamiento atmosférico muestran un valor promedio anual de 0.85 ± 0.22 W m-2. Los valores del coeficiente Ångström > 1, tal como se obtuvieron en este trabajo, indican que los aerosoles son de tipo urbano y fueron emitidos recientemente. Además, los valores bajos del albedo de dispersión simple en longitudes de onda crecientes muestran que los aerosoles son principalmente del tipo urbano-industriales.

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Section: Resultssupporting

confidence: 90%

Section: Discussionsupporting

confidence: 93%

Black carbon radiative forcing in south Mexico City, 2015

Cruz-Núñez¹

2019

Atm

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“…Overall monthly mean AOD500 in Bandung was 0.38. This is still lower than Chinese urban areas that was >0.6 (Che et al, 2015) and quite similar compared to Mexico city which was 0.34 (Carabali et al, 2017).…”

Section: Monthly Variation Of Aod500 and α440-870 In Four Aeronet Sitesmentioning

confidence: 63%

“…The AOD depends on the wavelength of the radiation. However, this paper only presents AOD in 500 nm because this wavelength lies in the middle of the visible range and also the peak of the solar spectrum where the maximal radiactive effect occurred (Carabali et al, 2017). Another parameter that is retrieved from AOD is Angstrom exponent (α).…”

Section: Aerosol Optical Depth (Aod)mentioning

confidence: 99%

“…All four sites exhibit large mean monthly values above 1 during measurement period except January and December in Palangkaraya and Bandung. Angstrom exponent α is >1 indicated that finemode (submicron with radii ≤ 0.5 μm) aerosols are dominant, while α <1 is indicated the coarse-mode particle (radii ≥ 0.5 μm) ( Barman et al, 2019;Carabali et al, 2017). Angstrom value in Jambi was almost stable throughout year.…”

Section: Monthly Variation Of Aod500 and α440-870 In Four Aeronet Sitesmentioning

confidence: 99%

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Aerosol Optical Depth (Aod) Over Four Indonesian Cities From the Aeronet Measurement: An Overview

Kusumaningtyas

2020

JSTMC

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A large amount of aerosol, commonly known as Particulate Matter (PM), is emitted to the atmosphere from land-use conversion, urbanization, and the use of fossil fuels from a variety of sectors. Aerosol affect climate, environment, to human health. Each location might have different aerosols types due to various sources, sinks, and local characteristics. Aerosol Robotic Network (AERONET) has been established to investigate and monitor aerosol world-wide included in Indonesia. This work aims to study aerosol optical properties retrieved from AERONET in four locations namely Bandung, Jambi, Pontianak, and Palangkaraya. Seasonal and daily variability in AOD and Angstrom exponent (α), also aerosol classification, is analyzed. The result shows that aerosol characteristics such as AOD and α in Bandung are different from Jambi, Palangkaraya, and Pontianak due to different aerosol sources. AOD clearly increases during the burning period (dry period) in Jambi, Palangkaraya, and Pontianak. The highest AOD monthly maximum recorded in Palangkaraya as of 4.51 during September. On the other hand, AOD in Bandung does not show significant variation during dry and rainy season. Mixed aerosols (coarse and fine mode) are present in all locations. However, the dominance of fine mode is depicted from high percent frequency of occurrence in Jambi, Palangkaraya, Pontianak, and Bandung, which are 33.4%, 31.38%, 25.14% (α range bin 1.6-1.8) and 37.16% (α range bin 1.4-1.6) respectively. There was a period of α1 with 1AOD6 in Jambi, Palangkaraya, and Pontianak suggesting smoke fire from peatland, while AOD close to 1 with α1 as the character of urban aerosol is prominent in Bandung. IntisariSejumlah besar aerosol, atau yang dikenal dengan partikulat, diemisikan ke atmosfer dari aktivitas konversi penggunaan lahan, urbanisasi, dan pembakaran bahan bakar fosil dari berbagai sektor. Aerosol memengaruhi iklim, lingkungan, hingga kesehatan manusia. Setiap lokasi memiliki jenis aerosol berbeda karena perbedaan sumber polusi dan cara penyerapannya, serta karakteristik lokal daerah tersebut. Aerosol Robotic Network (AERONET) dibentuk untuk menginvestigasi dan memantau aerosol di seluruh dunia termasuk di Indonesia. Tujuan dari penelitian ini untuk mempelajari sifat optik aerosol yang diperoleh dari AERONET di empat lokasi yaitu Bandung, Jambi, Pontianak, dan Palangkaraya. Variabilitas musiman dan harian parameter AOD dan Angstrom eksponen (α) serta klasifikasi aerosol juga dianalisis. Hasil dari studi menunjukkan karakteristik aerosol seperti AOD dan α di Bandung berbeda dari Jambi, Palangkaraya, dan Pontianak karena perbedaan sumber aerosol. AOD meningkat selama periode kebakaran lahan (musim kemarau) di Jambi, Palangkaraya, dan Pontianak. Maksimum bulanan AOD tertinggi tercatat di Palangkaraya sebesar 4.51 pada September. Di sisi lain, AOD di Bandung tidak menunjukkan variasi yang besar pada musim kemarau dan hujan. Aerosol campuran (partikel kasar dan halus) terdapat di semua lokasi. Namun, dominasi aerosol berukuran halus digambarkan oleh tingginya frekuensi kejadian di Jambi, Palangkaraya, Pontianak, dan Bandung masing-masing 33,4%, 31,38%, 25,14% (α range bin 1,6-1,8) dan 37,16% (α range bin 1,4-1.6). Terdapat periode dimana α 1 dengan 1 AOD 6 di Jambi, Palangkaraya, dan Pontianak menunjukkan sumber aerosol berasal dari kebakaran asap dari lahan gambut, sementara AOD mendekati 1 dengan α 1 sebagai karakter dari aerosol perkotaan menonjol di Bandung.

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