FDEWS 2.0: A Web-GIS-Based Early Warning System for Fish Disease via Water Quality Management

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 NH 3 , H 2 S 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.