STATE-OF-ART AND TRENDS OF DATA ANALYTICAL TECHNIQUES FOR WASTEWATER TREATMENT PROCESSES

GAO Song; QIU Yong; MENG Fanlin; ZHANG Xiaying; PAN Deli; WANG Kaijun

doi:10.13205/j.hjgc.202206025

Volume 40 Issue 6

Sep. 2022

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GAO Song, QIU Yong, MENG Fanlin, ZHANG Xiaying, PAN Deli, WANG Kaijun. STATE-OF-ART AND TRENDS OF DATA ANALYTICAL TECHNIQUES FOR WASTEWATER TREATMENT PROCESSES[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 194-203. doi: 10.13205/j.hjgc.202206025

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STATE-OF-ART AND TRENDS OF DATA ANALYTICAL TECHNIQUES FOR WASTEWATER TREATMENT PROCESSES

doi: 10.13205/j.hjgc.202206025

1. Jiangsu (Yixing) Institute of Environmental Industry, Yixing 214200, China;
2. School of Environment, Tsinghua Unversity, Beijing 100084, China

Received Date: 2022-01-30
Available Online: 2022-09-01
Publish Date: 2022-09-01

Abstract

Abstract

The rapidly developing technologies in data science have provided powerful tools for the data analytical process in wastewater treatment plants (WWTPs).Successfully applying data analytics in WWTPs needs the systematical approach to overcome the gaps in data,algorithm,and computing power.In this paper,firstly we summarized the advances in data analytics for WWTPs,and discussed the challenges that remained in the data quality control and mathematical models.Secondly,we summarized four typical four scenarios of data analytics in WWTPs and introduced twelve cases of integral application of data analytics in the wastewater treatment systems.Thirdly,the technical maturity of data analytics in WWTPs was estimated using the classic tools of hyper curves and technical readiness levels.Finally,the demands of water sectors on data analytics were analyzed to clarify the trends of the technical evolution of data analytics for WWTPs.This review was expected to help the operators and managers in WWTPs understand the advances in data analytics and utilize the developed tools to solve the process problems.
- wastewater treatment,
- data analytics,
- mathematical models,
- technical maturity,
- systematical optimization

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