Prediction of NO and NO2 concentrations near a street with heavy traffic in Santiago, Chile

被引：57

作者：

Perez, P ^{[1
]}

Trier, A ^{[1
]}

机构：

[1] Univ Santiago Chile, Dept Fis, Santiago, Chile

来源：

ATMOSPHERIC ENVIRONMENT | 2001年 / 35卷 / 10期

关键词：

air pollution prediction; NO and NO2; neural networks; meteorology forecast;

D O I：

10.1016/S1352-2310(00)00288-0

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Based on NO concentrations and meteorological variables recorded hourly at a point close to an avenue with heavy traffic in the city of Santiago, we are able to build a simple model that allows prediction of NO concentrations several hours in advance. Predicted NO concentrations in conjunction with forecasted meteorological data may be used to predict NO2 concentrations with reasonable accuracy. We compare predictions generated using persistence, linear regressions and multi layer neural networks. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：1783 / 1789

页数：7

共 7 条

[1] Artificial neural networks (the multilayer perceptron) - A review of applications in the atmospheric sciences [J].