Prediction of ambient PM10 and toxic metals using artificial neural networks

被引：45

作者：

Chelani, AB ^{[1
]}

Gajghate, DG ^{[1
]}

Hasan, MZ ^{[1
]}

机构：

[1] Natl Environm Engn Res Inst, Air Pollut Control Div, Nagpur 440020, Maharashtra, India

来源：

JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION | 2002年 / 52卷 / 07期

关键词：

D O I：

10.1080/10473289.2002.10470827

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 study, an artificial neural network is employed to predict the concentration of ambient respirable particulate matter (PM10) and toxic metals observed in the city of Jaipur, India. A feed-forward network with a back-propagation learning algorithm is used to train the neural network the behavior of the data patterns. The meteorological variables of wind speed, wind direction, relative humidity, temperature, and time are taken as input to the network. The results indicate that the network is able to predict concentrations of PM10 and toxic metals quite accurately.

引用

页码：805 / 810

页数：6

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