The association between greenness and traffic-related air pollution at schools

空气污染 环境科学 环境卫生 污染 存水弯(水管) 归一化差异植被指数 公共卫生 地理 环境工程 医学 气候变化 生态学 生物 护理部
作者
Payam Dadvand,Ioar Rivas,Xavier Basagaña,Mar Álvarez-Pedrerol,Jason Su,Montserrat de Castro,Fúlvio Amato,Michael Jerret,Xavier Querol,Jordi Sunyer,Mark Nieuwenhuijsen
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:523: 59-63 被引量:147
标识
DOI:10.1016/j.scitotenv.2015.03.103
摘要

Greenness has been reported to improve mental and physical health. Reduction in exposure to air pollution has been suggested to underlie the health benefits of greenness; however, the available evidence on the mitigating effect of greenness on air pollution remains limited and inconsistent. We investigated the association between greenness within and surrounding school boundaries and monitored indoor and outdoor levels of traffic-related air pollutants (TRAPs) including NO2, ultrafine particles, black carbon, and traffic-related PM2.5 at 39 schools across Barcelona, Spain, in 2012. TRAP levels at schools were measured twice during two one-week campaigns separated by 6months. Greenness within and surrounding school boundaries was measured as the average of satellite-derived normalized difference vegetation index (NDVI) within boundaries of school and a 50m buffer around the school, respectively. Mixed effects models were used to quantify the associations between school greenness and TRAP levels, adjusted for relevant covariates. Higher greenness within and surrounding school boundaries was consistently associated with lower indoor and outdoor TRAP levels. Reduction in indoor TRAP levels was partly mediated by the reduction in outdoor TRAP levels. We also observed some suggestions for stronger associations between school surrounding greenness and outdoor TRAP levels for schools with higher number of trees around them. Our observed reduction of TRAP levels at schools associated with school greenness can be of public importance, considering the burden of health effects of exposure to TRAPs in schoolchildren.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
胖Q完成签到 ,获得积分20
刚刚
1秒前
量子星尘发布了新的文献求助10
2秒前
liciky完成签到 ,获得积分10
3秒前
潘健康发布了新的文献求助10
3秒前
复杂的乐蕊完成签到,获得积分10
3秒前
Dave发布了新的文献求助10
3秒前
林一发布了新的文献求助10
5秒前
今后应助积极的老鼠采纳,获得10
5秒前
彭于晏应助yuhan采纳,获得10
5秒前
sin3xas4sin3x完成签到,获得积分10
6秒前
7秒前
上官若男应助Rosemary采纳,获得10
7秒前
Lim1819完成签到 ,获得积分10
8秒前
脑洞疼应助小胡爱科研采纳,获得10
8秒前
lin发布了新的文献求助20
9秒前
9秒前
12秒前
12秒前
Hibiscus95发布了新的文献求助10
14秒前
14秒前
zy177发布了新的文献求助10
15秒前
15秒前
AN应助小明采纳,获得10
16秒前
Elan完成签到 ,获得积分10
17秒前
xxxx发布了新的文献求助30
17秒前
77发布了新的文献求助10
19秒前
yuhan发布了新的文献求助10
20秒前
20秒前
21秒前
21秒前
林一完成签到,获得积分10
22秒前
酷波er应助zy177采纳,获得10
22秒前
22秒前
彭于晏应助陈惠123采纳,获得10
23秒前
leiwenyulan发布了新的文献求助10
24秒前
monica完成签到 ,获得积分10
24秒前
香蕉觅云应助lshl2000采纳,获得10
24秒前
完美世界应助没想到羽毛采纳,获得10
25秒前
言言完成签到,获得积分10
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Aerospace Engineering Education During the First Century of Flight 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
sQUIZ your knowledge: Multiple progressive erythematous plaques and nodules in an elderly man 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5771589
求助须知:如何正确求助?哪些是违规求助? 5592681
关于积分的说明 15427933
捐赠科研通 4904901
什么是DOI,文献DOI怎么找? 2639075
邀请新用户注册赠送积分活动 1586878
关于科研通互助平台的介绍 1541879