Dynamic Data Visualization for a Water Quality Monitoring Network

Data visualization can support statisticians to analyze vast volumes of data more easily and efficiently. We proposed a novel data visualization algorithm for water quality monitoring network to process water quality data in real time. Our algorithm can analyze vast water quality data as well as dynamically visualize the pollution diffusion process. We achieved this algorithm based on a MVC web application. Longitudes and latitudes of all the monitoring locations are converted to screen coordinates and visualize the monitoring network. When a pollution event occurs, we use different colors to indicate different pollution levels. The color of river segments can be automatically changed in real time to represent the pollution diffusion processing as well as the pollution level in different river segments.