Time-series analysis for ambient concentrations

被引：0

作者：

Gonzalez-Manteiga, W. ^{[1
]}

Prada-Sanchez, J.M. ^{[1
]}

Cao, R. ^{[1
]}

Garcia-Jurado, I. ^{[1
]}

Febrero-Bande, M. ^{[1
]}

Lucas-Dominguez, T. ^{[1
]}

机构：

[1] Statistics and Operations Research, Faculty of Mathematics, University Santiago de Compostela, 15771 Santiago de Compostela, Spain

来源：

Atmospheric Environment - Part A General Topics | 1993年 / 27 A卷 / 02期

关键词：

Air pollution - Forecasting - Industrial emissions - Mathematical models - Power plants - Time series analysis;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper we present a dynamic system which has been implemented to predict, every 5 min. the ambient concentrations of SO2 in the neighbourhood of a power station run by ENDESA, the National Electricity Company of Spain, in As Pontes. This prediction task is very important in order to prevent a high ground-level of concentration of SO2. For forecasting we use a mixed model which has a parametric component and a nonparametric one. We also construct confidence intervals for future observations using bootstrap and classical techniques.

引用

页码：153 / 158