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<p>Understanding particulate matter (PM) dose and its deposition within the human respiratory tract is essential for evaluating exposure-related health risks and formulating effective mitigation strategies. The present study was structured around two objectives: (i) to quantify PM deposition across various age groups resulting from the use of different biomass fuels, specifically wood with bamboo, wood, mixed biomass fuels, bamboo, and cow dung; (ii) to estimate the inhaled PM mass generated during cooking activities. Real-time measurements of PM<sub>10</sub> (PM with an aerodynamic diameter of&#xa0;10 µm or less), PM<sub>2.5</sub> (2.5 µm or less), and PM<sub>1</sub> (1 µm or less) were collected from 35 rural households of Assam, Northeast India. The Multiple-Path Particle Dosimetry (MPPD) model was then employed to simulate age-specific deposition patterns. The integration of field-based measurements of PM with MPPD model represents a key strength of the study, enabling more realistic and reliable estimation of age-specific PM deposition. Inhalation doses were calculated by integrating individual physiological parameters and activity levels. Results revealed that biomass fuel combustion produced PM concentrations 2.3 to 4.8 times higher than LPG. Among the various PM fractions, PM<sub>10</sub> showed the highest deposition in the respiratory tract, followed by PM<sub>2.5</sub> and PM<sub>1</sub>. According to the MPPD model, PM<sub>1</sub> deposition was highest in children, while adult women were estimated to have elevated levels of PM₁₀ and PM₂.₅ deposition. </p>

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Quantification of inhaled and deposited particulate matter from biomass fuel combustion in rural households of Assam, Northeast India

  • 期刊论文

  • 发表日期：

    2026年4月13日

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  • Pratibha Deka,
  • Mebaaibok L Nonglait,
  • Mayuri Chabukdhara,
  • Raza Rafiqul Hoque

摘要

Understanding particulate matter (PM) dose and its deposition within the human respiratory tract is essential for evaluating exposure-related health risks and formulating effective mitigation strategies. The present study was structured around two objectives: (i) to quantify PM deposition across various age groups resulting from the use of different biomass fuels, specifically wood with bamboo, wood, mixed biomass fuels, bamboo, and cow dung; (ii) to estimate the inhaled PM mass generated during cooking activities. Real-time measurements of PM10 (PM with an aerodynamic diameter of 10 µm or less), PM2.5 (2.5 µm or less), and PM1 (1 µm or less) were collected from 35 rural households of Assam, Northeast India. The Multiple-Path Particle Dosimetry (MPPD) model was then employed to simulate age-specific deposition patterns. The integration of field-based measurements of PM with MPPD model represents a key strength of the study, enabling more realistic and reliable estimation of age-specific PM deposition. Inhalation doses were calculated by integrating individual physiological parameters and activity levels. Results revealed that biomass fuel combustion produced PM concentrations 2.3 to 4.8 times higher than LPG. Among the various PM fractions, PM10 showed the highest deposition in the respiratory tract, followed by PM2.5 and PM1. According to the MPPD model, PM1 deposition was highest in children, while adult women were estimated to have elevated levels of PM₁₀ and PM₂.₅ deposition.