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http://dx.doi.org/10.9708/jksci.2016.21.8.057

A Study on integrated water management system based on Web maps  

Choi, Ho Sung (Dept. of Computer Science & Engineering. Kongju national university)
Jung, Jin Young (Dept. of Bio information. Daejeon Health institute of Technology)
Park, Koo Rack (Dept. of Computer Science & Engineering. Kongju national university)
Abstract
Initial prevention activities and rapid propagation conditions is the most important to prevent diffusion of water pollution. If water pollutants flow into streams river or main stresm located in environmental conservation area or water intake facilities, we must predict immediately arrival time and the diffusion concentration to the proactive. National Institute of Environmental Research developed water pollution incident response prediction system linking dam and movable weir. the system is mathematical model which is updated daily. Therefore it can quickly predict the arrival time and the diffusion concentration when there are accident of oil spills and hazardous chemicals. Also we equipped with mathematical model and toxicity model of EFDC(Environmental Fluid Dynamics Code) to calculate the arrival time and the diffusion concentration. However these systems offer the services of an offline manner than real-time control services. we have ensured the reliability of data collection and have developed a real-time water quality measurement data transmission device by using the data linkage utilizing a mode bus communication and a commercial SCADA system, in particular, we implemented to be able to do real-time water quality prediction through information infrastructure of the water quality integrated management business created by utilizing the construction of the real-time prediction system that utilizes the data collected, the Open map, the visual representation using charts API and development of integrated management system development based on web maps.
Keywords
web maps; water quality environment; water quality sensor; integrated water quality management system; prediction system;
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Times Cited By KSCI : 7  (Citation Analysis)
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