DOI: 10.1016/j.atmosenv.2015.01.063
Scopus记录号: 2-s2.0-84922019366
论文题名: Combined field/modelling approaches to represent the air-vegetation distribution of benzo[a]pyrene using different vegetation species
作者: Ratola N ; , Jiménez-Guerrero P
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 106 起始页码: 34
结束页码: 42
语种: 英语
英文关键词: Air sampling
; Benzo(a)pyrene
; Biomonitoring
; Pine needles
; WRF+CHIMERE
Scopus关键词: Atmospheric movements
; Needles
; Pyrene
; Vegetation
; Weather forecasting
; Air sampling
; Benzo(a)pyrene
; Biomonitoring
; Pine needle
; WRF+CHIMERE
; Atmospheric chemistry
; benzo[a]pyrene
; air quality
; atmospheric chemistry
; atmospheric transport
; biomonitoring
; concentration (composition)
; numerical model
; pyrene
; seasonal variation
; simulation
; vegetation cover
; air
; air monitoring
; air quality
; aptitude
; Article
; atmosphere
; autumn
; biological monitoring
; canopy
; chemistry transport model
; climate
; industrial area
; mathematical model
; nonhuman
; pine
; Pinus halepensis
; Pinus nigra
; Pinus pinaster
; Pinus pinea
; priority journal
; seasonal variation
; spring
; summer
; vegetation
; winter
; Iberian Peninsula
; Pinus halepensis
; Pinus nigra
; Pinus pinaster
; Pinus pinea
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: A strategy designed to combine the features of field-based experiments and modelling approaches is presented in this work to assess air-vegetation distribution of benzo(a)pyrene (BaP) in the Iberian Peninsula (IP). Given the lack of simultaneous data in both environmental matrices, a methodology with two main steps was employed. First, evaluating the simulations with the chemistry transport model (CTM) WRF (Weather Research and Forecasting)+CHIMERE data against the European Monitoring and Evaluation Programme (EMEP) network, to test the aptitude of the CTM to replicate the respective atmospheric levels. Then, using modelled concentrations and a method to estimate air levels of BaP from biomonitoring data to compare the performance of different pine species (Pinus pinea, Pinus pinaster, Pinus nigra and Pinus halepensis) to describe the atmospheric evidences. The comparison of modelling vs. biomonitoring has a higher dependence on the location of the sampling points, rather than on the pine species, as some tend to overestimate and others to underestimate BaP concentrations, in most cases regardless of the season. The climatology of the canopy levels of BaP was successfully validated with the concentrations in pine needles (most biases below 26%), however, the model was unable to distinguish between species. This should be taken into consideration in future studies, as biases can rise up to 48%, especially in summer and autumn, the. The comparison with biomonitoring data showed a similar pattern, but with the best results in the warmer months. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81904
Appears in Collections: 气候变化事实与影响
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作者单位: Physics of the Earth, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Edificio CIOyN, Campus de Espinardo, Murcia, Spain
Recommended Citation:
Ratola N,, Jiménez-Guerrero P. Combined field/modelling approaches to represent the air-vegetation distribution of benzo[a]pyrene using different vegetation species[J]. Atmospheric Environment,2015-01-01,106