| DOI: | 10.1016/j.atmosenv.2018.02.046
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| Scopus记录号: | 2-s2.0-85042852723
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| 论文题名: | DeltaSA tool for source apportionment benchmarking, description and sensitivity analysis |
| 作者: | Pernigotti D; , Belis C; A
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| 刊名: | Atmospheric Environment
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| ISSN: | 0168-2563
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| EISSN: | 1573-515X
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| 出版年: | 2018
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| 卷: | 180 | | 起始页码: | 138
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| 结束页码: | 148
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| 语种: | 英语
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| 英文关键词: | Ensemble
; On-line
; Performance criteria
; Receptor models
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| Scopus关键词: | Sensitivity analysis
; Conservative approaches
; Ensemble
; Intercomparison exercise
; Model performance evaluations
; On-line
; Performance criterion
; Receptor model
; Statistical indicators
; Benchmarking
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| Scopus学科分类: | Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
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| 英文摘要: | DeltaSA is an R-package and a Java on-line tool developed at the EC-Joint Research Centre to assist and benchmark source apportionment applications. Its key functionalities support two critical tasks in this kind of studies: the assignment of a factor to a source in factor analytical models (source identification) and the model performance evaluation. The source identification is based on the similarity between a given factor and source chemical profiles from public databases. The model performance evaluation is based on statistical indicators used to compare model output with reference values generated in intercomparison exercises. The references values are calculated as the ensemble average of the results reported by participants that have passed a set of testing criteria based on chemical profiles and time series similarity. In this study, a sensitivity analysis of the model performance criteria is accomplished using the results of a synthetic dataset where “a priori” references are available. The consensus modulated standard deviation punc gives the best choice for the model performance evaluation when a conservative approach is adopted. © 2018 |
| Citation statistics: |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/82914
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| 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, Ispra, Italy
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| Recommended Citation: | |
Pernigotti D,, Belis C,A. DeltaSA tool for source apportionment benchmarking, description and sensitivity analysis[J]. Atmospheric Environment,2018-01-01,180
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