Title :
FDEWS 2.0: A Web-GIS-Based Early Warning System for Fish Disease via Water Quality Management
Author :
Li, Nan ; Fu, Zetian ; Wang, Boqi ; Zhang, Xiaoshuan
Author_Institution :
Coll. of Eng., China Agric. Univ., Beijing
Abstract :
The water quality is the most vital factor in a successfully healthy aquaculture. After investigation by 415 fish disease cases and experiments, it is found that eutrophication and the pollutants of NH3, H2S as well as heavy metals and organic compounds are the main reasons of inducing fish disease in the north of China. Generally speaking, an early warning system for fish disease based on water management is a cheaper and alternative choice available for the fish farmers to warn the risks and to minimize disease problems. A Web-GIS-based fish disease early-warning system (FDEWS 2.0) based on water quality management has been developed by us. Building a water quality monitoring network in the aquafarm and integrating a series of simulation models with the GIS and the World-Wide-Web (WWW) are the key advantages of this system
Keywords :
Internet; aquaculture; diseases; geographic information systems; water pollution; FDEWS 2.0; H2S; NH3; Web-GIS-based early warning system; Web-GIS-based fish disease early-warning system; World Wide Web; aquafarms; eutrophication; healthy aquaculture; heavy metals; organic compounds; pollutants; water management; water quality management; water quality monitoring network; Alarm systems; Aquaculture; Diseases; Geographic Information Systems; Marine animals; Monitoring; Organic compounds; Quality management; Risk management; Water pollution; GIS; early warning; fish disease; water quality; web;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712826
