DOI: 10.1016/j.atmosenv.2014.06.025
Scopus记录号: 2-s2.0-84902685269
论文题名: Predicting SO2 pollution incidents by means of additive models with optimum variable selection
作者: Sestelo M ; , Roca-Pardiñas J ; , Ordóñez C
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 95 起始页码: 151
结束页码: 157
语种: 英语
英文关键词: Additive models
; Bootstrap
; Nonparametric regression
; Pollution incident
; Variable selection
Scopus关键词: Fossil fuel power plants
; Pollution
; Sulfur dioxide
; Time series
; Additive models
; Bootstrap
; Non-parametric regression
; Pollution incidents
; Variable selection
; Forecasting
; coal
; sulfur dioxide
; algorithm
; climate modeling
; pollution incidence
; pollution monitoring
; sulfur dioxide
; time series
; article
; humidity
; pollution
; priority journal
; solar radiation
; temperature
; time series analysis
; Spain
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: The aim of this paper is to predict time series of SO2 concentrations emitted by coal-fired power stations in order to estimate in advance emission episodes and analyze the influence of some meteorological variables in the prediction. An emission episode is said to occur when the series of bi-hourly means of SO2 is greater than a specific level. For coal-fired power stations it is essential to predict emission episodes sufficiently in advance so appropriate preventive measures can be taken. We proposed a methodology to predict SO2 emission episodes based on using an additive model and an algorithm for variable selection. The methodology was applied to the estimation of SO2 emissions registered in sampling locations near a coal-fired power station located in Northern Spain. The results obtained indicate a good performance of the model considering only two terms of the time series and that the inclusion of the meteorological variables in the model is not significant. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81270
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Mathematics, Autonomous University of Barcelona, 08193 Cerdanyola del Vallès, Spain; Department of Statistics and Operations Research, University of Vigo, 36208 Vigo, Spain; Department of Mining Exploitation and Prospecting, University of Oviedo, 33600 Oviedo, Spain
Recommended Citation:
Sestelo M,, Roca-Pardiñas J,, Ordóñez C. Predicting SO2 pollution incidents by means of additive models with optimum variable selection[J]. Atmospheric Environment,2014-01-01,95