TIME-SERIES ANALYSIS FOR AMBIENT CONCENTRATIONS

被引：7

作者：

GONZALEZMANTEIGA, W ^{[1
]}

PRADASANCHEZ, JM ^{[1
]}

CAO, R ^{[1
]}

GARCIAJURADO, I ^{[1
]}

FEBREROBANDE, M ^{[1
]}

LUCASDOMINGUEZ, T ^{[1
]}

机构：

[1] AS PONTES POWER PLANT,LAB,AS PONTES,SPAIN

来源：

ATMOSPHERIC ENVIRONMENT PART A-GENERAL TOPICS | 1993年 / 27卷 / 02期

关键词：

FORECASTING; RESAMPLING METHODS; AIR POLLUTION; POWER STATION; SO2; BOX-JENKINS MODEL; NONPARAMETRIC STATISTICS;

D O I：

10.1016/0960-1686(93)90345-Y

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper we present a dynamic system which bas 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

页数：6

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