DOI: 10.1016/j.atmosenv.2016.11.051
Scopus记录号: 2-s2.0-85006052185
论文题名: Evaluation of atmospheric nitrogen deposition model performance in the context of U.S. critical load assessments
作者: Williams J ; J ; , Chung S ; H ; , Johansen A ; M ; , Lamb B ; K ; , Vaughan J ; K ; , Beutel M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 150 起始页码: 244
结束页码: 255
语种: 英语
英文关键词: Atmospheric deposition
; Critical load
; Exceedance
; Model performance
; Nitrogen
Scopus关键词: Air quality
; Deposition rates
; Fungi
; Meteorological problems
; Atmospheric depositions
; Atmospheric nitrogen deposition
; Community multi-scale air quality models
; Critical load
; Exceedance
; Model performance
; Non-deterministic approach
; Operational performance
; Nitrogen
; air quality
; atmospheric deposition
; atmospheric modeling
; atmospheric pollution
; critical load
; diatom
; interpolation
; lichen
; nitrogen
; performance assessment
; pollution monitoring
; uncertainty analysis
; air quality
; Article
; atmospheric deposition
; calculation
; controlled study
; dry deposition
; ion chromatography
; national park
; nitrogen deposition
; precipitation
; priority journal
; United States
; wet deposition
; Mount Rainier National Park
; Pacific Northwest
; United States
; Washington [United States]
; Bacillariophyta
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: Air quality models are widely used to estimate pollutant deposition rates and thereby calculate critical loads and critical load exceedances (model deposition > critical load). However, model operational performance is not always quantified specifically to inform these applications. We developed a performance assessment approach designed to inform critical load and exceedance calculations, and applied it to the Pacific Northwest region of the U.S. We quantified wet inorganic N deposition performance of several widely-used air quality models, including five different Community Multiscale Air Quality Model (CMAQ) simulations, the Tdep model, and ‘PRISM x NTN’ model. Modeled wet inorganic N deposition estimates were compared to wet inorganic N deposition measurements at 16 National Trends Network (NTN) monitoring sites, and to annual bulk inorganic N deposition measurements at Mount Rainier National Park. Model bias (model – observed) and error (|model – observed|) were expressed as a percentage of regional critical load values for diatoms and lichens. This novel approach demonstrated that wet inorganic N deposition bias in the Pacific Northwest approached or exceeded 100% of regional diatom and lichen critical load values at several individual monitoring sites, and approached or exceeded 50% of critical loads when averaged regionally. Even models that adjusted deposition estimates based on deposition measurements to reduce bias or that spatially-interpolated measurement data, had bias that approached or exceeded critical loads at some locations. While wet inorganic N deposition model bias is only one source of uncertainty that can affect critical load and exceedance calculations, results demonstrate expressing bias as a percentage of critical loads at a spatial scale consistent with calculations may be a useful exercise for those performing calculations. It may help decide if model performance is adequate for a particular calculation, help assess confidence in calculation results, and highlight cases where a non-deterministic approach may be needed. © 2016 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82262
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil & Environmental Engineering, Washington State University, 405 Spokane St, Sloan 101, Pullman, WA, United States; Department of Chemistry, Central Washington University, 400 East University Way, Science Building Room 302, Ellensburg, WA, United States; School of Engineering, University of California, Merced, United States
Recommended Citation:
Williams J,J,, Chung S,et al. Evaluation of atmospheric nitrogen deposition model performance in the context of U.S. critical load assessments[J]. Atmospheric Environment,2017-01-01,150