Controlling of the Pollution Based on a Prediction Model

Article Preview

Abstract:

Controlling of the pollution plays an important role in environmental monitoring. This paper proposed a prediction model for the evolution of pollution in a certain region. With the statistic data of the pollution in this region, several parameters can be determined. With solving the related partial differential equation, the evolution of the pollution in next days can be predicted. Then some efficient measures can be adopted for controlling. The efficiency and the accuracy of the proposed model are shown in presented numerical examples.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4094-4097

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Cheng C.T. Chau, K.W. Real-time Prediction of Water Stage with Artificial Neural Network Approach. Lecture Notes in Artificial Intelligence, 2557: 715–723, (2002).

DOI: 10.1007/3-540-36187-1_64

Google Scholar

[2] K.W. Chau. Rainfall-Runoff Correlation with Particle Swarm Optimization Algorithm. Lecture Notes in Computer Science, 3174: 970–975, (2004).

DOI: 10.1007/978-3-540-28648-6_154

Google Scholar

[3] K.W. Chau. River Stage Forecasting with Particle Swarm Optimization. Lecture Notes in Computer Science, 3029: 1166–1173, (2004).

DOI: 10.1007/978-3-540-24677-0_119

Google Scholar

[4] Eberhart R. Kennedy, J. Particle Swarm Optimization. In Proceedings of the 1995 IEEE International Conference on Neural Networks, volume 1. Citeseer, (1995).

Google Scholar

[5] Widrow B. Lehr M.A. Rumelhart, D.E. The Basic Ideas in Neural Networks. Communications of the ACM, 37(3): 87–92, (1994).

DOI: 10.1145/175247.175256

Google Scholar