基于人工神经网络模型的臭氧生成灵敏度预测

doi:10.3976/j.issn.1002-4026.2012.06.003

J4 ›› 2012, Vol. 25 ›› Issue (6): 10-14.doi: 10.3976/j.issn.1002-4026.2012.06.003

基于人工神经网络模型的臭氧生成灵敏度预测

王竹青¹，郑轶¹，巩小东¹，杨冰²，杨红艳²，齐斌²

1.山东省海洋环境监测技术重点实验室，山东省科学院海洋仪器仪表研究所，山东青岛 266001;
2.陕西师范大学化学与材料科学学院，陕西西安 710062

收稿日期:2012-09-06 出版日期:2012-12-20 发布日期:2012-12-20
作者简介:王竹青(1983- ),男，副研究员，研究方向为大气化学。Email: wangzq128@163.com

Artificial neural network models based prediction for
ozone-NO_x-HC sensitivity

WANG Zhu-Qing¹, ZHENG Yi¹, GONG Xiao-Dong¹, YANG Bing², YANG Hong-Yan², QI Bin²

1. Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Technology, Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao 266001, China; 2. School of Chemistry and Materials Science, Shanxi Normal University, Xi'an 710062, China

Received:2012-09-06 Online:2012-12-20 Published:2012-12-20

摘要/Abstract

摘要：

本文将臭氧生成灵敏度指标Φ=k_HC+OH［HC］/k_NOx+OH［NO_x］及其影响参数作为输入参数，建立了人工神经网络模型，预测了日本海利尻岛海洋大气边界层臭氧生成的控制因素及其灵敏度特征。预测结果与化学模式计算结果基本一致，证明文中所建立的人工神经网络模型具有较好的预测性能。研究结果表明，人工神经网络模型可以作为一个有效的工具用于对流层臭氧生成灵敏度特征的确定及相关的臭氧消除策略制定。

关键词: 对流层臭氧, 臭氧生成灵敏度, 人工神经网络

Abstract:

We constructed a back-propagation neural network (BPNN) model with a P(O₃) sensitivity indicator, Φ=k_HC+OH［HC］/k_NOx+OH［NO_x］, and influencial factors as its input variables. We employed the model to predict the control factors of ozone formation and its sensitivity character at ocean atmospheric boundary layer of Japan Hailikao island. Prediction results basically conformed with chemical computation results. It indicates that this model has better prediction performance. Our research demonstrates that artificial neural network (ANN) can serve as an effective tool to determine the sensitivity of P(O₃) and to formulate ozone abatement strategy.

Key words: tropospheric ozone, ozone production sensitivity, artificial neural network

中图分类号:

P406

王竹青，郑轶，巩小东，杨冰，杨红艳，齐斌. 基于人工神经网络模型的臭氧生成灵敏度预测[J]. J4, 2012, 25(6): 10-14.

WANG Zhu-Qing, ZHENG Yi, GONG Xiao-Dong, YANG Bing, YANG Hong-Yan, QI Bin. Artificial neural network models based prediction for
ozone-NO_x-HC sensitivity[J]. J4, 2012, 25(6): 10-14.

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基于人工神经网络模型的臭氧生成灵敏度预测

Artificial neural network models based prediction for
ozone-NO_x-HC sensitivity

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基于人工神经网络模型的臭氧生成灵敏度预测

Artificial neural network models based prediction for ozone-NOx-HC sensitivity

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Artificial neural network models based prediction for
ozone-NO_x-HC sensitivity