首页|Quantifying the contribution of activity patterns to PM2.5 exposure inequity between urban and rural residents by a novel method

Quantifying the contribution of activity patterns to PM2.5 exposure inequity between urban and rural residents by a novel method

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
PM2.5 pollution variations in different microenvironments would result in PM2.5 exposure inequity between rural and urban residents.In this study,the real-time PM2.5 exposure of urban and rural residents in China was examined based on portable PM2.5 sensors together with activity patterns derived from questionnaire surveys,with a focus on students and senior citizens who are sensitive to air pollution.The results showed that PM2.5 exposure varied significantly among different resident groups,with higher PM2.5 exposure of rural residents than those of urban residents.PM2.5 exposure peaks mostly occurred during(Accompanied)cooking activities owing to strong emissions.Sleeping and resting were the main activities that affected PM2.5 exposures of different resident groups,accounting for 60.7％-94.5％of total daily exposures.Furthermore,the long duration of sleeping makes it the predominant activity contributing to PM 25 exposure inequity.It is necessary to obtain point-to-point respiratory volume(respiratory rate)data when measuring real-time PM2.5 exposure data and incorporate respiratory volume(respiratory rate)into the analysis of PM2.5 exposure.For the first time,this study quantified the PM2.5 exposure inequality based on a novel method and can provide useful information for further studies on the exposure inequity.

PM2.5 exposureenvironmental inequityactivity patternurban and rural difference

Wei Du、Zhanpeng Cui、Jinze Wang、Yuqiong Wang、Yungui Li、Xiaoan Li、Yan Zhou、Tao Jiang、Kang Mao、Xianbiao Lin、Jianwu Shi、Dengzhou Gao、Yiming Qin

展开 >

Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control,Faculty of Environmental Science & Engineering,Kunming University of Science &Technology,Kunming 650500,China

Laboratory of Earth Surface Processes,College of Urban and Environmental Sciences,Peking University,Beijing 100871,China

Department of Environmental Engineering,Southwest University of Science and Technology,Mianyang 621010,China

NHC Key Laboratory of Nuclear Technology Medical Transformation,Mianyang Central Hospital,School of Medicine,University of Electronic Science and Technology of China,Mianyang 621000,China

State Key Laboratory of Environmental Geochemistry,Institute of Geochemistry,Chinese Academy of Sciences,Guiyang 550081,China

Key Laboratory of Marine Chemistry Theory and Technology,Ministry of Education,Ocean University of China,Qingdao 266100,China

Key Laboratory for Humid Subtropical Ecogeographical Processes of the Ministry of Education,School of Geographical Sciences,Fujian Normal University,Fuzhou 350117,China

School of Energy and Environment,City University of Hong Kong,Hong Kong,China

展开 >

2024

10.1007/s12273-024-1166-x

建筑模拟(英文版)

建筑模拟(英文版)

EI
ISSN：1996-3599
年,卷(期)：2024.17(8)