Developing a Web-based Early Warning System for Fish Disease based on Water Quality Management

Abstract

The Suboptimal water quality, including the eutrophication and the pollutants of NH3, H2S as well as organic compounds, is the main reason of damaging fish resources, which are suffered by the aquaculture ponds in the north of China and result in great losses to Chinese aquatic products every year. Therefore, it is important and the best way to develop decision aids that can help to assess the risks of fish disease through water quality management. EWS-FDWQ: a web-based early-warning system for fish disease based on water quality management has been developed by us. Real-time water quality monitoring and a series of water quality management mathematic models, including water eutrophic assessment, pollutant risk assessment and water quality forecast as well as potential risk early warning of fish disease, are the key advantages of our system.