Quantifying the contribution of activity patterns to PM_(2.5)exposure inequity between urban and rural residents by a novel method  

作　　者：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 

机构地区：[1]Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control,Faculty of Environmental Science&Engineering,Kunming University of Science&Technology,Kunming 650500,China [2]Laboratory of Earth Surface Processes,College of Urban and Environmental Sciences,Peking University,Beijing 100871,China [3]Department of Environmental Engineering,Southwest University of Science and Technology,Mianyang 621010,China [4]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 [5]State Key Laboratory of Environmental Geochemistry,Institute of Geochemistry,Chinese Academy of Sciences,Guiyang 550081,China [6]Key Laboratory of Marine Chemistry Theory and Technology,Ministry of Education,Ocean University of China,Qingdao266100,China [7]Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education,School of Geographical Sciences,Fujian NormalUniversity,Fuzhou350117,China [8]School of Energy and Environment,City University of Hong Kong,Hong Kong,China

出　　处：《Building Simulation》2024年第8期1323-1333,共11页建筑模拟（英文）

基　　金：supported by Yunnan Provincial Science and Technology Project at Southwest United Graduate School(Grant No.202302AO370001);NHC Key Laboratory of Nuclear Technology Medical Transformation(MIANYANG CENTRAL HOSPITAL)(Grant No.2021HYX030 and 2021HYX006).

摘　　要：PM_(2.5)pollution variations in different microenvironments would result in PM_(2.5)exposure inequity between rural and urban residents.In this study,the real-time PM_(2.5)exposure of urban and rural residents in China was examined based on portable PM_(2.5)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 PM_(2.5)exposure varied significantly among different resident groups,with higher PM_(2.5)exposure of rural residents than those of urban residents.PM_(2.5)exposure peaks mostly occurred during(Accompanied)cooking activities owing to strong emissions.Sleeping and resting were the main activities that affected PM_(2.5)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 PM_(2.5)exposure data and incorporate respiratory volume(respiratory rate)into the analysis of PM_(2.5)exposure.For the first time,this study quantified the PM_(2.5)exposure inequality based on a novel method and can provide useful information for further studies on the exposure inequity.

关 键 词：PM_(2.5)exposure environmental inequity activity pattern urban and rural difference 

分 类 号：X51[环境科学与工程—环境工程]