DOI: 10.1016/j.atmosenv.2015.08.002
Scopus记录号: 2-s2.0-84939620229
论文题名: A new methodology to assess the performance and uncertainty of source apportionment models in intercomparison exercises
作者: Belis C ; A ; , Pernigotti D ; , Karagulian F ; , Pirovano G ; , Larsen B ; R ; , Gerboles M ; , Hopke P ; K
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 119 起始页码: 35
结束页码: 44
语种: 英语
英文关键词: Intercomparison exercise
; Model quality objectives
; Particulate matter
; Receptor models
; Source apportionment
; Testing dataset
Scopus关键词: Correlation methods
; Indicators (chemical)
; Standards
; Testing
; Time series
; Uncertainty analysis
; Intercomparison exercise
; Model qualities
; Particulate Matter
; Receptor model
; Source apportionment
; Statistical tests
; ammonia
; ammonium nitrate
; ammonium sulfate
; molecular marker
; organic carbon
; sulfate
; trace element
; air quality
; atmospheric modeling
; atmospheric pollution
; data set
; performance assessment
; pollutant source
; uncertainty analysis
; aerosol
; air pollutant
; air quality
; algorithm
; Article
; calculation
; chemical composition
; concentration (parameters)
; controlled study
; correlation coefficient
; density
; factorial analysis
; limit of detection
; linear regression analysis
; mathematical analysis
; mathematical model
; mathematical parameters
; meteorology
; methodology
; mineral dust
; normal distribution
; pollution monitoring
; principal component analysis
; priority journal
; random error
; reference value
; source apportionment model
; time series analysis
; uncertainty
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 new methodology to assess source apportionment model performance in intercomparison exercises, encompassing the preparation of real-world and synthetic datasets and the evaluation of the source apportionment results reported by participants, is described. The evaluation consists of three types of tests: complementary tests, preliminary tests, and performance tests. The complementary tests provide summary information about the source apportionment results as a whole. The preliminary tests check whether source/factors belong to a given source category. Three types of indicators: Pearson correlation (Pearson), standardized identity distance (SID), and weighted difference (WD) are used to test factor/source chemical profiles, while factor/source time series and contribution-to-species values are tested only using the Pearson. The performance tests, based on international standards for proficiency testing, are targeted at evaluating whether the reported biases in the quantification of the factor/source contribution estimates (SCEs) and uncertainties are consistent with previously established quality standards in a fitness-for-purpose approach. Moreover, the consistency of the SCE time series is evaluated using a variant of the RMSE normalised by the reference standard uncertainty.The described methodology facilitates a thorough evaluation of the source apportionment output. The new indicator to compare source or factor profiles presented in this study (SID) is more robust and provides additional information compared to the existing ones. © 2015 The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81523
Appears in Collections: 气候变化事实与影响
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作者单位: European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via Enrico Fermi 2749, Ispra, Italy; RSE SpA, Via R. Rubattino, 54, Milan, Italy; European Commission, Joint Research Centre, Institute for Health and Consumer Protection, Via Enrico Fermi 2749, Ispra, Italy; Center for Air Resources Engineering and Science, Clarkson University, Box 5708, Potsdam, NY, United States
Recommended Citation:
Belis C,A,, Pernigotti D,et al. A new methodology to assess the performance and uncertainty of source apportionment models in intercomparison exercises[J]. Atmospheric Environment,2015-01-01,119