Open Innovation Web-Based Platform for Evaluation of Water Quality Based on Big Data Analysis

Xiaofang Han, Hong Shen, Hongqing Hu and Jerry Gao
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Xiaofang Han: College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
Hong Shen: Donghu Experimental Station of Lake Ecosystems, Cern Sub-Center of Aquatic Ecosystems, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
Hongqing Hu: College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
Jerry Gao: Computer Engineering Department, San Jose State University, San Jose, CA 95192, USA

Sustainability, 2022, vol. 14, issue 14, 1-18

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.

Keywords: water quality; big data analysis; application; platform (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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