Quantify individual variation of real-time PM2.5 exposure in urban Chinese homes based on a novel method

被引:9
作者
Li, Yungui [1 ]
Wang, Yuqiong [1 ]
Wang, Jinze [2 ]
Chen, Long [2 ]
Wang, Zhenglu [3 ]
Feng, Sheng [1 ]
Lin, Nan [4 ]
Du, Wei [2 ]
机构
[1] Southwest Univ Sci & Technol, Dept Environm Engn, Mianyang, Sichuan, Peoples R China
[2] East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
[3] Hohai Univ, Coll Oceanog, Nanjing 210098, Jiangsu, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Publ Hlth, Dept Environm Hlth, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
intra-variation; microenvironments contribution; personal exposure; PM2; 5; real-time monitor; HOUSEHOLD AIR-POLLUTION; INDOOR PM2.5; PARTICULATE MATTER; PERSONAL EXPOSURE; WOMEN; NORTHERN; COOKING;
D O I
10.1111/ina.12962
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Fine particulate matter (PM2.5) concentrations show high variations in different microenvironments indoors, which has considerable impact on risk management. However, the real-time variations of PM2.5 exposure associated with per activity/microenvironment and intra-variation among family members remain undefined. In this study, real-time monitors were used to collect real-time PM2.5 data in different microenvironments in 32 households in urban community of China. Peak concentrations of PM2.5 were found in kitchen. The parallel levels of PM2.5 household indoor and outdoor indicated the benefit of clean energies use. To validly assess the health risk of individuals, we proposed a novel method to estimate the real-time exposure of all residents and firstly investigate the intra-variation of PM2.5 exposure among family members. The member who is responsible for cooking in the family had the maximum PM2.5 exposure. The ratios among intraindividual variations demonstrated children usually had lower exposure compared to the adults as they stayed more time in lower polluted microenvironments such as living room and bedroom. The exposure intensity in living room was above 1.0 for most residents, indicating it is warranted to alleviate the air pollution in living room. This study firstly focused on the intra differences of PM2.5 exposure among family members and provided a new insight for indoor air pollution management. The results suggested when adopting measures to reduce exposure, the microenvironments pattern of each member should be taken into consideration. Future work is welcomed to move another big step on this issue to protect the human health.
引用
收藏
页数:9
相关论文
共 42 条
  • [21] Effects of urban green space morphological pattern on variation of PM2.5 concentration in the neighborhoods of five Chinese megacities
    Chen, Ming
    Dai, Fei
    Yang, Bo
    Zhu, Shengwei
    [J]. BUILDING AND ENVIRONMENT, 2019, 158 : 1 - 15
  • [22] Identification of High Personal PM2.5 Exposure during Real Time Commuting in the Taipei Metropolitan Area
    Wang, Cheng-Yi
    Lim, Biing-Suan
    Wang, Ya-Hui
    Huang, Yuh-Chin T.
    [J]. ATMOSPHERE, 2021, 12 (03)
  • [23] The influence of urban planning factors on PM2.5 pollution exposure and implications: A case study in China based on remote sensing, LBS, and GIS data
    Guo, Liang
    Luo, Jia
    Yuan, Man
    Huang, Yaping
    Shen, Huanfeng
    Li, Tongwen
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 659 : 1585 - 1596
  • [24] Individual-level PM2.5 exposure and the time course of impaired heart rate variability: the APACR Study
    Fan He
    Michele L Shaffer
    Xian Li
    Sol Rodriguez-Colon
    Deborah L Wolbrette
    Ronald Williams
    Wayne E Cascio
    Duanping Liao
    [J]. Journal of Exposure Science & Environmental Epidemiology, 2011, 21 : 65 - 73
  • [25] Individual-level PM2.5 exposure and the time course of impaired heart rate variability: the APACR Study
    He, Fan
    Shaffer, Michele L.
    Li, Xian
    Rodriguez-Colon, Sol
    Wolbrette, Deborah L.
    Williams, Ronald
    Cascio, Wayne E.
    Liao, Duanping
    [J]. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 2011, 21 (01) : 65 - 73
  • [26] Real-Time PM2.5 Monitoring in a Diesel Generator Workshop Using Low-Cost Sensors
    Feng, Zikang
    Zheng, Lina
    Liu, Lingyu
    Zhang, Wenli
    [J]. ATMOSPHERE, 2022, 13 (11)
  • [27] Real-Time Estimation of Satellite-Derived PM2.5 Based on a Semi-Physical Geographically Weighted Regression Model
    Zhang, Tianhao
    Liu, Gang
    Zhu, Zhongmin
    Gong, Wei
    Ji, Yuxi
    Huang, Yusi
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2016, 13 (10)
  • [28] New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data
    Yan, Xing
    Zang, Zhou
    Luo, Nana
    Jiang, Yize
    Li, Zhanqing
    [J]. ENVIRONMENT INTERNATIONAL, 2020, 144
  • [29] Optimal temporal scale for the correlation of AOD and ground measurements of PM2.5 in a real-time air quality estimation system
    Li, Hui
    Faruque, Fazlay
    Williams, Worth
    Al-Hamdan, Mohammad
    Luvall, Jeffrey
    Crosson, William
    Rickman, Douglas
    Limaye, Ashutosh
    [J]. ATMOSPHERIC ENVIRONMENT, 2009, 43 (28) : 4303 - 4310
  • [30] Bacterial and fungal aerosols in poultry houses: PM2.5 metagenomics via single-molecule real-time sequencing
    Wang, Xilong
    Chen, Lei
    Yang, Guiwen
    Cai, Yumei
    Yu, Guanliu
    [J]. POULTRY SCIENCE, 2024, 103 (12)