The lake water bloom intelligent prediction method and water quality remote monitoring system

According to the lagging state of water quality monitoring and problems of difficulty to predict water bloom, one water bloom prediction method based on grey-BP neural network is proposed and a system on water environmental remote monitoring and water bloom early warning based on GPRS wireless commu...

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Bibliographic Details
Published in2010 Sixth International Conference on Natural Computation Vol. 7; pp. 3443 - 3446
Main Authors Wang Xiaoyi, Dai Jun, Liu Zaiwen, Zhao Xiaoping, Dong Suoqi, Zhao Zhiyao, Zhang Miao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Artificial neural networks
GPRS
grey-BP neural network
Ground penetrating radar
Lakes
Monitoring
Predictive models
water bloom prediction
Water pollution
water quality monitoring
Water resources
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Summary:According to the lagging state of water quality monitoring and problems of difficulty to predict water bloom, one water bloom prediction method based on grey-BP neural network is proposed and a system on water environmental remote monitoring and water bloom early warning based on GPRS wireless communication technology is built, which can obtain the automatic real-time monitoring information for the change of water quality and occurrence of water bloom, then provide a kind of efficient and practical system for water environment control.
ISBN:1424459583
9781424459582
ISSN:2157-9555
DOI:10.1109/ICNC.2010.5584552