Repositorio
Institucional

Hystad, Perry

Wang, Ying

Shupler, Matthew

Birch, Aaron

Chu, Yen Li

Jeronimo, Matthew

Rangarajan, Sumathy

Mustaha, Maha

Heenan, Laura

Seron, Pamela

Lanas, Fernando

Salazar, Luis

Saavedra, Nicolas

Oliveros, Maria Jose

Lopez-Jaramillo, Patricio

Camacho, Paul A.

Otero, Johnna

Perez-Mayorga, Maritza

Yeates, Karen

West, Nicola

Ncube, Tatenda

Ncube, Brian

Chifamba, Jephat

Yusuf, Rita

Khan, Afreen

Liu, Zhiguang

Bo, Hu

Wei, Li

Tse, L. A.

Mohan, Deepa

Kumar, Parthiban

Gupta, Rajeev

Mohan, Indu

Jayachitra, K. G.

Mony, Prem K.

Rammohan, Kamala

Nair, Sanjeev

Lakshmi, P. V. M.

Sagar, Vivek

Khawaja, Rehman

Iqbal, Romaina

Kazmi, Khawar

Yusuf, Salim

Brauer, Michael

Measuring and predicting personal and household Black Carbon levels from 88 communities in eight countries

ELSEVIER

SCIENCE OF THE TOTAL ENVIRONMENT

en

Black Carbon (BC) is an important component of household air pollution (HAP) in low-and middle-income countries (LMICs), but levels and drivers of exposure are poorly understood. As part of the Prospective Urban and Rural Epidemiological (PURE) study, we analyzed 48-hour BC measurements for 1187 individual and 2242 household samples from 88 communities in 8 LMICs (Bangladesh, Chile, China, Colombia, India, Pakistan, Tanzania, and Zimbabwe). Light absorbance (10(-5) m(-1)) of collected PM2.5 filters, a proxy for BC concentrations, was calculated via an image-based reflectance method. Surveys of household/personal characteristics and behaviors were collected after monitoring. The geometric mean (GM) of personal and household BC measures was 2.4 (3.3) and 3.5 (3.9).10(-5) m(-1), respectively. The correlation between BC and PM(2.5 )was r = 0.76 for personal and r = 0.82 for household measures. A gradient of increasing BC concentrations was observed for cooking fuels: BC increased 53% (95%CI: 30, 79) for coal, 142% (95%CI: 117,169) for wood, and 190% (95%CI: 149, 238) for other biomass, compared to gas. Each hour of cooking was associated with an increase in household (5%, 95%CI: 3, 7) and personal (5%, 95%CI: 2, 8) BC, having a window in the kitchen was associated with a decrease in household (-38%, 95%CI: -45, -30) and personal (-31%, 95%CI: -44, -15) BC, and cooking on a mud stove, compared to a clean stove, was associated with an increase in household (125%, 95%CI: 96,160) and personal (117%, 95%CI: 71, 117) BC. Male participants only had slightly lower personal BC (-0.6%, 95%CI: -1, 0.0) compared to females. In multivariate models, we were able to explain 46-60% of household BC variation and 33-54% of personal BC variation. These data and models provide new information on exposure to BC in LMICs, which can be incorporated into future exposure assessments, health research, and policy surrounding HAP and BC. (C) 2021 Published by Elsevier B.V.

artículo original

10.1016/j.scitotenv.2021.151849

PDF

Household air pollution

Exposure

Measurement

Black Carbon

Fine particulate matter

FINE PARTICULATE MATTER

AIR-POLLUTION

SOLID FUELS

EXPOSURE

EMISSIONS

PM2.5

COOKING

BIOMASS

BURDEN

HEALTH

Ciencias Ambientales

Contaminación del aire en el hogar

Exposición

Medición

Carbón negro

Partículas finas

PARTÍCULAS FINAS

CONTAMINACIÓN DEL AIRE

COMBUSTIBLES SÓLIDOS

EXPOSICIÓN

EMISIONES

PM2.5

COCINAR

BIOMASA

CARGA

SALUD

Ciencias del Medio Ambiente

Meteorología y Ciencias Atmosféricas

Salud Pública y Ambiental

Measuring and predicting personal and household Black Carbon levels from 88 communities in eight countries

artículo original

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WOS:000795457700011