PM2.5/PM10 ratio characteristics over urban sites of India

Spandana, B.; Rao, S. Srinivasa; Upadhya, Adithi R.; Kulkarni, Padmavati; Sreekanth, V.

doi:10.1016/j.asr.2021.02.008

Cited by 36 publications

(14 citation statements)

References 36 publications

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“…Then, all sites are categorised could be defined as urban, with a certain traffic and industrial activity influence. On this basis, the organic PM fraction could be attributed to smaller particles such as PM 2.5 , corresponding to approximately 58% of PM 10 (SFigures 1 and 6, in SI), which agrees with studies conducted at urban industrial areas (Khodeir et al 2012;Spandana et al 2021;Sugimoto et al 2016). Also, some metal(oid)s are frequently associated to anthropogenic PM sources such as road dust tracers (Al, Mn, K and Sr), fuel oil combustion (V) and burning waste or abrasive wear of tires (Zn) (Fauser et al 2002); construction activities (Cr) (Watson and Chow 2015); and smelting of non-ferrous material, battery recycling and waste incineration (Pb) (Landis et al 2017).…”

Section: Elemental Composition Of Pm 10 and Source Apportionmentsupporting

confidence: 89%

Source apportionment of PM10 and health risk assessment related in a narrow tropical valley. Study case: Metropolitan area of Aburrá Valley (Colombia)

Ramos-Contreras

Piñeiro-Iglesias

Concha-Graña

et al. 2023

Environ Sci Pollut Res

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This study investigates spatio-temporal variations of PM10 mass concentrations and associated metal(oid)s, δ13C carbon isotope ratios, polycyclic aromatic hydrocarbons (PAHs), total organic carbon (TOC) and equivalent black carbon (eBC) concentrations over a half year period (from March 2017 to October 2017) in two residential areas of Medellín (MED-1 and MED-2) and Itagüí municipality (ITA-1 and ITA-2) at a tropical narrow valley (Aburrá Valley, Colombia), where few data are available. A total of 104 samples were analysed by using validated analytical methodologies, providing valuable data for PM10 chemical characterisation. Metal(oid)s concentrations were measured by inductively coupled plasma mass spectrometry (ICP-MS) after acid digestion, and PAHs concentrations were measured by Gas Chromatography-Mass Spectrometry (GC–MS) after Pressurised Hot Water Extraction (PHWE) and Membrane Assisted Solvent Extraction (MASE). Mean PM10 mass concentration ranged from 37.0 µg m−3 to 45.7 µg m−3 in ITA-2 and MED-2 sites, respectively. Al, Ca, Mg and Na (from 6249 ng m−3 for Mg at MED-1 site to 10,506 ng m−3 for Ca at MED-2 site) were the major elements in PM10 samples, whilst As, Be, Bi, Co, Cs, Li, Ni, Sb, Se, Tl and V were found at trace levels (< 5.4 ng m−3). Benzo[g,h,i] perylene (BghiP), benzo[b + j]fluoranthene (BbjF) and indene(1,2,3-c,d)pyrene (IcdP) were the most profuse PAHs in PM10 samples, with average concentrations of 0.82–0.86, 0.60–0.78 and 0.47–0.58 ng m−3, respectively. Results observed in the four sampling sites showed a similar dispersion pattern of pollutants, with temporal fluctuations which seems to be associated to the meteorology of the valley. A PM source apportionment study were carried out by using the positive matrix factorization (PMF) model, pointing to re-suspended dust, combustion processes, quarry activity and secondary aerosols as PM10 sources in the study area. Among them, combustion was the major PM10 contribution (accounting from 32.1 to 32.9% in ITA-1 and ITA-2, respectively), followed by secondary aerosols (accounting for 13.2% and 23.3% ITA-1 and MED-1, respectively). Finally, a moderate carcinogenic risk was observed for PM10-bound PAHs exposure via inhalation, whereas significant carcinogenic risk was estimated for carcinogenic metal(oid)s exposure in the area during the sampling period.

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Section: Elemental Composition Of Pm 10 and Source Apportionmentsupporting

confidence: 89%

Source apportionment of PM10 and health risk assessment related in a narrow tropical valley. Study case: Metropolitan area of Aburrá Valley (Colombia)

Ramos-Contreras

Piñeiro-Iglesias

Concha-Graña

et al. 2023

Environ Sci Pollut Res

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“…A N U S C R I P T 17 PM2.5/PM10 ratio; in contrast, a relatively high ratio of coarse particles (primary particles) is produced by natural sources (for example soil erosion), manifested by a lower PM2.5/PM10 ratio (Spandana et al, 2021;Xu et al, 2017;Zhao et al, 2019). The PM2.5/PM10 ratio varies at the individual types of stations.…”

Section: A C C E P T E D Mmentioning

confidence: 99%

The Effect of Drought on PM Concentrations in the Czech Republic

Šmejkalová

Brzezina²

2022

Aerosol Air Qual. Res.

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The main focus of this study is the effect of drought on air quality in the Czech Republic. PM X (PM10 and PM2.5) concentrations at 21 air quality monitoring stations of different types (rural, suburban and urban) were studied during a 10-year period from 2010 to 2019. Only data measured during the vegetation period (Apr-Sep) were used. In addition, other meteorological factors were taken into account as well, in particular wind speed, air and soil temperature and soil moisture. It was found that PM10 concentrations were higher by 26.7 to 46.7% during dry periods with the difference being statistically significant. A strong correlation was found between PM10 and PM2.5 concentrations and the soil temperature and moisture, particularly at the top soil layer (0-10 cm depth). Results of the study show that soil moisture affects the extent of resuspension and soil erosion. Soil moisture values above 36% create unfavourable conditions for resuspension or erosion even when soil temperature is higher than 20 °C.

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“…Moreover, Chansuebsri et al (2022) investigated PM 2.5 compositions in Northern Thailand in 2019 and revealed that urban PM 2.5 sources were secondary inorganic aerosols from traffic gas conversion in contrast with rural PM 2.5 which were mainly from biomass burning. Several studies were conducted to characterize particle pollution by the PM 2.5 /PM 10 ratios in the urban area (Chirasophon & Pochanart, 2020; Kanchanasuta et al, 2020; Pengjan et al, 2019; Ryu et al, 2007; Sahanavin et al, 2016; Spandana et al, 2021; Suburairat & Bunjongsiri, 2020; Thongyen, 2009; Xu et al, 2017). However, a few studies have been focused on the PM 2.5 /PM 10 ratios in the rural area (Clements et al, 2016; Sopajaree & Pengchai, 2007).…”

Section: Introductionmentioning

confidence: 99%

Relationships between Meteorological and Particulate Matter Concentrations (PM_2.5 and PM₁₀) during the Haze Period in Urban and Rural Areas, Northern Thailand

Sirithian

Thanatrakolsri

2022

Air, Soil and Water Research

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Meteorological parameters play a crucial role in the ambient air quality of urban and rural environments. This study aims to investigate the relationship between meteorological parameters (including temperature, relative humidity, and wind speed) and the concentrations of PM2.5 and PM10 in the urban area and the rural area, northern Thailand during the haze period (January to April) from 2016 to 2020. Statistical analyses of the Spearman-Rank correlation coefficient and the multivariate gaussian regression were used to investigate the relationships. The secondary data of ambient PM2.5 and PM10 concentration and meteorological parameters were acquired from the Thai Pollution Control Department. The measurements are obtained using the Beta Ray attenuation method. The results showed that approximately 24% to 65% of daily average PM2.5 concentrations in the urban area over the study period exceeded Thailand’s National Ambient Air Quality Standards. The average PM2.5/PM10 ratios in the urban and the rural areas over the haze period were 0.69 and 0.66, respectively. Our analysis established a significant correlation between atmospheric temperature ( r = 0.624) and relative humidity ( r = −0.722) with the concentrations of PM2.5 and PM10. In both areas, PM2.5 and PM10 concentrations were also positively correlated with temperature. In contrast, relative humidity was significantly related with the decrease of PM2.5 and PM10 concentrations. However, wind speed does not affect PM2.5 and PM10 concentrations. Additionally, the daily backward trajectories using the hybrid-single particle Lagrangian integrated trajectory model also demonstrated air mass movement in March mostly came from the southwesterly direction, which moved through the highlands, the large biomass burned areas, upwind neighboring provinces, and transboundary transports before reaching the air monitoring stations. Our findings improve the understanding of particulate matter pollution and meteorological patterns during annual haze periods in the urban and rural areas. We expect the output of this study can help improve existing haze mitigation measures for improving the prediction accuracy of air pollution under variable meteorological parameters.

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PM2.5/PM10 ratio characteristics over urban sites of India

Cited by 36 publications

References 36 publications

Source apportionment of PM10 and health risk assessment related in a narrow tropical valley. Study case: Metropolitan area of Aburrá Valley (Colombia)

Source apportionment of PM10 and health risk assessment related in a narrow tropical valley. Study case: Metropolitan area of Aburrá Valley (Colombia)

The Effect of Drought on PM Concentrations in the Czech Republic

Relationships between Meteorological and Particulate Matter Concentrations (PM_2.5 and PM₁₀) during the Haze Period in Urban and Rural Areas, Northern Thailand

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PM2.5/PM10 ratio characteristics over urban sites of India

Cited by 36 publications

References 36 publications

Source apportionment of PM10 and health risk assessment related in a narrow tropical valley. Study case: Metropolitan area of Aburrá Valley (Colombia)

Source apportionment of PM10 and health risk assessment related in a narrow tropical valley. Study case: Metropolitan area of Aburrá Valley (Colombia)

The Effect of Drought on PM Concentrations in the Czech Republic

Relationships between Meteorological and Particulate Matter Concentrations (PM2.5 and PM10) during the Haze Period in Urban and Rural Areas, Northern Thailand

Contact Info

Product

Resources

About

Relationships between Meteorological and Particulate Matter Concentrations (PM_2.5 and PM₁₀) during the Haze Period in Urban and Rural Areas, Northern Thailand