Publication Date
7-1-2022
Document Type
Article
Publication Title
Sustainability (Switzerland)
Volume
14
Issue
14
DOI
10.3390/su14148811
Abstract
There are many models presented that assess water quality. However, the applications of the models are limited due to the difficulty of preparing input data and interpreting model output. In this paper, we developed a Web-based platform to assist researchers in analyzing water quality. The data from sensors can be automatically imported to the platform according to the configured information of data structures. The platform also provides conventional methods and big data methods for the users to analyze water quality. Moreover, the users can choose the water quality parameters according to the water usage. The presented platform can show the model output in a text format and a graphic format, which allows for the analysis to be better understood by the user. The platform integrates the input, analysis, and output together well and brings great convenience to the research on water quality.
Funding Number
3015/08210056
Funding Sponsor
CERN
Keywords
application, big data analysis, platform, water quality
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Computer Engineering
Recommended Citation
Xiaofang Han, Hong Shen, Hongqing Hu, and Jerry Gao. "Open Innovation Web-Based Platform for Evaluation of Water Quality Based on Big Data Analysis" Sustainability (Switzerland) (2022). https://doi.org/10.3390/su14148811
