Observatory information management for lake ecosystem monitoring application

Abstract

Today, water pollution and scarcity are global problems, which can lead the worldwide cause of deaths and diseases. In order to protect this serious problem, it is required to monitor the ecosystem in river and lake. So, we propose the cyberinfrastructure to support the limnologist's research such as water quality analysis and lake ecosystem health assessment. The infrastructure that is KLEON (Korean Lake Ecological Observatory Network) is designed for limnologist to evaluate the lake ecosystem health by using the observation data with the lake ecological modeling such as CE-QUAL-W2. The KLEON includes the installation of sensors, observatory information management about sensors and sampling sites, and observation data management. In this paper, we focus on the observatory information management to effectively handle the attributes of the installed sensors and the condition of sampling sites, because observation data is affected by the status of sensors and the condition around sampling sites. The observatory management module deals with the information of lake, dam, floodgate, weather, and observation site. This information is necessary for an ecologist to understand the sensor and the sampling data by comparing the observation with the condition of observatory. © 2012 Springer-Verlag Berlin Heidelberg.