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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

邮发代号 80-973

2018 Impact Factor: 3.883

Frontiers of Environmental Science & Engineering  2023, Vol. 17 Issue (2): 20   https://doi.org/10.1007/s11783-023-1620-5
  本期目录
Same stimuli, different responses: a pilot study assessing air pollution visibility impacts on emotional well-being in a controlled environment
Jianxun Yang1, Qi Gao1, Miaomiao Liu1,2(), John S. Ji3,4, Jun Bi1,2()
1. State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
2. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, China
3. Vanke School of Public Health, Tsinghua University, Beijing 100084, China
4. Global Health Research Center, Duke Kunshan University, Kunshan 215316, China
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Abstract

● Emotional responses to visibility-reducing haze was assessed in a controlled lab.

● Valence and arousal have non-linear responses to pollution-caused low visibility.

● Repetitive exposure aggravates negative emotions in severely polluted conditions.

● Emotional bias to pollution relates with gender, decisiveness, attitude to clean air.

A growing number of studies have shown that impaired visibility caused by particulate matter pollution influences emotional wellbeing. However, evidence is still scant on how this effect varies across individuals and over repetitive visual exposure in a controlled environment. Herein, we designed a lab-based experiment (41 subjects, 6 blocks) where participants were presented with real-scene images of 12 different PM2.5 concentrations in each block. Emotional valence (negative to positive) and arousal (calm to excited) were self-rated by participants per image, and the response time for each rating was recorded. We find that as pollution level increases from 10 to 260 µg/m3, valence scores decrease, whereas arousal scores decline first and then bounce back, following a U-shaped trend. When air quality deteriorates, individual variability decreases in hedonic valence but increases in arousal. Over blocks, repetitive visual exposure increases valence at a moderate pollution level but aggravates negative emotions in severely polluted conditions (> 150 µg/m3). Finally, we find females, people who are slow in making responses, and those who are highly aroused by clean air tend to express more negative responses (so-called negativity bias) to ambient pollution than their respective counterparts. These results provide deeper insights into individual-level emotional responses to dirty air in a controlled environment. Although the findings in our pilot study should only be directly applied to the conditions assessed herein, we introduce a framework that can be replicated in different regions to assess the impact of air pollution on local emotional wellbeing.

Key wordsAir pollution    Emotional wellbeing    Variability    Visual exposure    Emotional bias
收稿日期: 2022-03-23      出版日期: 2022-09-14
Corresponding Author(s): Miaomiao Liu,Jun Bi   
 引用本文:   
. [J]. Frontiers of Environmental Science & Engineering, 2023, 17(2): 20.
Jianxun Yang, Qi Gao, Miaomiao Liu, John S. Ji, Jun Bi. Same stimuli, different responses: a pilot study assessing air pollution visibility impacts on emotional well-being in a controlled environment. Front. Environ. Sci. Eng., 2023, 17(2): 20.
 链接本文:  
https://academic.hep.com.cn/fese/CN/10.1007/s11783-023-1620-5
https://academic.hep.com.cn/fese/CN/Y2023/V17/I2/20
Fig.1  
Fig.2  
Fig.3  
Variable Model 1Negativity bias Model 2Positivity offset
Male (versus female) 0.38 (0.15) * –0.49 (0.19) **
Pollution experience –0.08 (0.07) –0.05 (0.08)
Response time 0.20 (0.07) ** 0.06 (0.07)
Negativity bias toward clean air –0.78 (0.10) *** 0.26 (0.08) **
Positivity offset toward clean air 0.14 (0.08) –0.34 (0.10) ***
PM2.5 concentration 0.19 (0.07) ** 0.01 (0.07)
Block 0.04 (0.04) –0.05 (0.04)
Constant –1.12 (0.16) *** –0.94 (0.17) ***
Observations 1226 1226
AIC 1345 1199
Tab.1  
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