Using Crowd-Sourced Data to Assess the Temporal and Spatial Relationship between Indoor and Outdoor Particulate Matter

被引:33
作者
Krebs, Benjamin [3 ]
Burney, Jennifer [1 ]
Zivin, Joshua Graff [1 ]
Neidell, Matthew [2 ]
机构
[1] Univ Calif San Diego, Sch Global Policy & Strategy, La Jolla, CA 92093 USA
[2] Columbia Univ, Mailman Sch Publ Hlth, New York, NY 10032 USA
[3] Univ Lucerne, Fac Econ & Management, CH-6002 Luzern, Switzerland
基金
瑞士国家科学基金会;
关键词
AIR-POLLUTION; HEALTH; PARTICLES; PM2.5; PENETRATION; MORTALITY; EXPOSURE; QUALITY; POLLUTANTS; DEPOSITION;
D O I
10.1021/acs.est.0c08469
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Using hourly measures across a full year of crowd-sourced data from over 1000 indoor and outdoor pollution monitors in the state of California, we explore the temporal and spatial relationship between outdoor and indoor particulate matter (PM) concentrations for different particle sizes. The scale of this study offers new insight into both average penetration rates and drivers of heterogeneity in the outdoor-indoor relationship. We find that an increase in the daily outdoor PM concentration of 10% leads to an average increase of 4.2-6.1% in indoor concentrations. The penetration of outdoor particles to the indoor environment occurs rapidly and almost entirely within 5 h. We also provide evidence showing that penetration rates are associated with building age and climatic conditions in the vicinity of the monitor. Since people spend a substantial amount of each day indoors, our findings fill a critical knowledge gap and have significant implications for government policies to improve public health through reductions in exposure to ambient air pollution.
引用
收藏
页码:6107 / 6115
页数:9
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共 53 条
  • [51] Optimal environmental health regulations with heterogeneous populations: Treatment versus "tagging"
    Zivin, JG
    Zilberman, D
    [J]. JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2002, 43 (03) : 455 - 476
  • [52] Environment, Health, and Human Capital
    Zivin, Joshua Graff
    Neidell, Matthew
    [J]. JOURNAL OF ECONOMIC LITERATURE, 2013, 51 (03) : 689 - 730
  • [53] Using big data from air quality monitors to evaluate indoor PM2.5 exposure in buildings: Case study in Beijing
    Zuo, JinXing
    Ji, Wei
    Ben, Yujie
    Hassan, Muhammad Azher
    Fan, WenHong
    Bates, Liam
    Dong, ZhaoMin
    [J]. ENVIRONMENTAL POLLUTION, 2018, 240 : 839 - 847