Title :
The lake water bloom intelligent prediction method and water quality remote monitoring system
Author :
Wang Xiaoyi ; Dai Jun ; Liu Zaiwen ; Zhao Xiaoping ; Dong Suoqi ; Zhao Zhiyao ; Zhang Miao
Author_Institution :
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
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.
Keywords :
backpropagation; computerised monitoring; environmental factors; environmental science computing; grey systems; neural nets; packet radio networks; real-time systems; water quality; GPRS wireless communication technology; automatic real-time monitoring information; grey-BP neural network; lagging state; lake water bloom intelligent prediction method; water bloom early warning; water environment control; water environmental remote monitoring; water quality remote monitoring system; Artificial neural networks; Ground penetrating radar; Lakes; Monitoring; Predictive models; Water pollution; Water resources; GPRS; grey-BP neural network; water bloom prediction; water quality monitoring;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584552
