DOI: 10.1016/j.atmosenv.2017.09.051
Scopus记录号: 2-s2.0-85030681735
论文题名: Public perception of rural environmental quality: Moving towards a multi-pollutant approach
作者: Cantuaria M ; L ; , Brandt J ; , Løfstrøm P ; , Blanes-Vidal V
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 170 起始页码: 234
结束页码: 244
语种: 英语
英文关键词: Air pollution sources
; Annoyance
; Atmospheric model
; Multipollutant mixtures
; Principal Component Analysis
; Rural areas
Scopus关键词: Agriculture
; Mixtures
; Noise pollution
; Particles (particulate matter)
; Pollution
; Population statistics
; Principal component analysis
; Rural areas
; Agricultural emissions
; Air pollution sources
; Annoyance
; Atmospheric model
; Environmental epidemiology
; Environmental quality
; Environmental stressors
; Multipollutant mixtures
; Air pollution
; ammonia
; black carbon
; carbon monoxide
; nitrate
; nitric oxide
; nitrogen dioxide
; organic carbon
; ozone
; sodium chloride
; sulfate
; sulfur dioxide
; agricultural emission
; atmospheric modeling
; atmospheric pollution
; attitudinal survey
; biomass burning
; environmental modeling
; environmental quality
; perception
; pollutant source
; pollution exposure
; pollution monitoring
; public attitude
; rural area
; traffic emission
; adult
; air pollutant
; air pollution
; air quality
; annoyance
; Article
; carbon footprint
; Denmark
; dust
; environment
; female
; human
; male
; middle aged
; noise
; odor
; particulate matter
; perception
; priority journal
; public health
; rural area
; rural population
; smoke
; vibration
; Denmark
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Most environmental epidemiology studies have examined pollutants individually. Multi-pollutant approaches have been recognized recently, but to the extent of our knowledge, no study to date has specifically investigated exposures to multiple air pollutants in rural environments. In this paper we characterized and quantified residential exposures to air pollutant mixtures in rural populations, provided a better understanding of the relationships between air pollutant mixtures and annoyance responses to environmental stressors, particularly odor, and quantified their predictive abilities. We used validated and highly spatially resolved atmospheric modeling of 14 air pollutants for four rural areas of Denmark, and the annoyance responses considered were annoyance due to odor, noise, dust, smoke and vibrations. We found significant associations between odor annoyance and principal components predominantly described by nitrate (NO3 −), ammonium (NH4 +), particulate matter (PM10 and PM2.5) and NH3, which are usually related to agricultural emission sources. Among these components, NH3 showed the lowest error when comparing observed population data and predicted probabilities. The combination of these compounds in a predictive model resulted in the most accurate model, being able to correctly predict 66% of odor annoyance responses. Furthermore, noise annoyance was found to be significantly associated with traffic-related air pollutants. In general terms, our results suggest that emissions from the agricultural and livestock production sectors are the main contributors to environmental annoyance, but also identify traffic and biomass burning as potential sources of annoyance. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82611
Appears in Collections: 气候变化事实与影响
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作者单位: The Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark, Odense, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
Recommended Citation:
Cantuaria M,L,, Brandt J,et al. Public perception of rural environmental quality: Moving towards a multi-pollutant approach[J]. Atmospheric Environment,2017-01-01,170