Land Use Regression Modeling of Outdoor Noise Exposure in Informal Settlements in Western Cape, South Africa

被引:25
|
作者
Sieber, Chloe [1 ,2 ]
Ragettli, Martina S. [1 ,2 ]
Brink, Mark [3 ]
Toyib, Olaniyan [4 ]
Baatjies, Roslyn [5 ]
Saucy, Apolline [1 ,2 ]
Probst-Hensch, Nicole [1 ,2 ]
Dalvie, Mohamed Aqiel
Roosli, Martin [1 ,2 ]
机构
[1] Swiss Trop & Publ Hlth Inst, Dept Epidemiol & Publ Hlth, CH-4002 Basel, Switzerland
[2] Univ Basel, CH-4003 Basel, Switzerland
[3] Fed Off Environm, CH-3003 Bern, Switzerland
[4] Univ Cape Town, Sch Publ Hlth & Family Med, Ctr Environm & Occupat Hlth Res, ZA-7700 Cape Town, South Africa
[5] Cape Peninsula Univ Technol, Fac Sci Appl, Dept Environm & Occupat Studies, ZA-7700 Cape Town, South Africa
来源
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | 2017年 / 14卷 / 10期
基金
新加坡国家研究基金会;
关键词
noise measurement; road traffic noise; neighborhood noise; land use regression; informal settlements; low- and middle-income country; South Africa; ROAD TRAFFIC NOISE; ENVIRONMENTAL NOISE; HEART-DISEASE; AIRCRAFT; VARIABILITY; ASSOCIATION; PERFORMANCE;
D O I
10.3390/ijerph14101262
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In low- and middle-income countries, noise exposure and its negative health effects have been little explored. The present study aimed to assess the noise exposure situation in adults living in informal settings in the Western Cape Province, South Africa. We conducted continuous one-week outdoor noise measurements at 134 homes in four different areas. These data were used to develop a land use regression (LUR) model to predict A-weighted day-evening-night equivalent sound levels (L-den) from geographic information system (GIS) variables. Mean noise exposure during day (6: 00-18: 00) was 60.0 A-weighted decibels (dB(A)) (interquartile range 56.9-62.9 dB(A)), during night (22: 00-6: 00) 52.9 dB(A) (49.3-55.8 dB(A)) and average Lden was 63.0 dB(A) (60.1-66.5 dB(A)). Main predictors of the LUR model were related to road traffic and household density. Model performance was low (adjusted R-2 = 0.130) suggesting that other influences than those represented in the geographic predictors are relevant for noise exposure. This is one of the few studies on the noise exposure situation in low-and middle-income countries. It demonstrates that noise exposure levels are high in these settings.
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页数:10
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