Dynamic Data Visualization for a Water Quality Monitoring Network

DOI

10.2991/icmmcce-17.2017.277How to use a DOI?

Keywords

Data visualization; geography locations; screen coordinates; monitoring network

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xuan Chen
AU  - Xiaohui Zhu
AU  - Yong Yue
PY  - 2017/09
DA  - 2017/09
TI  - Dynamic Data Visualization for a Water Quality Monitoring Network
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1576
EP  - 1579
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.277
DO  - 10.2991/icmmcce-17.2017.277
ID  - Chen2017/09
ER  -