Paper Info
Title
Water Contamination Monitoring System Based On Big Data: A Case Study
Abstract
Water plays a vital role in people's life, and individuals cannot survive without it. However, water contamination has become a serious issue with the development of industry and agriculture, and has become a threat to people's daily life. Moreover, the amount of data people need to process becomes excessively complex and huge in big data era. Hence, data management is increasingly a difficult task. There is an urgent need to develop a system to identify major changes of water quality through monitoring and managing these water quality variables. In this paper, we develop a data monitoring system named monitoring and managing data centre (MMDC) for monitoring, downloading, sharing, and time-series analysis based on big data technology. In order to reflect the real hydrological ecosystem, water quality variable data collected from Taihu Lake in China is used to verify the effectiveness of MMDC. Results show that MMDC brings effectiveness for monitoring and management of massive data. Although this investigation is focused on Taihu Lake, it is applicable as a general monitoring system for other similar natural resources.
Year
DOI
Venue
2019
10.1504/IJCSE.2019.101894
INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING
Keywords
DocType
Volume
water contamination, big data, monitoring and managing data centre, MMDC, monitoring, data analysis
Journal
19
Issue
ISSN
Citations 
4
1742-7185
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Gaofeng Zhang172.83
Yingnan Yan200.68
Yunsheng Tian300.34
Liu Yang420033.54
Yan Li59512.50
Qingguo Zhou610329.48
Rui Zhou7206.92
Kuan-ching Li8933122.44