Art
J-GLOBAL ID:202202243815411109   Reference number:22A1036760

IOT Based Smart Wastewater Treatment Model for Industry 4.0 Using Artificial Intelligence

人工知能を用いた産業4.0のためのIOTベースのスマート廃水処理モデル【JST・京大機械翻訳】
Author (9):
Material:
Volume: 2022  Page: Null  Publication year: 2022 
JST Material Number: W0689A  ISSN: 1058-9244  Document type: Article
Article type: 原著論文  Country of issue: United Kingdom (GBR)  Language: ENGLISH (EN)
Abstract/Point:
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Japanese summary of the article(about several hundred characters).
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Wastewater is created by pharm...
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JST classification (1):
JST classification
Category name(code) classified by JST.
Biological treatment of sewage and wastewater 
Reference (29):
  • E. Amoueyan, Quantifying Pathogen Risks Associated with Potable Reuse: A Risk Assessment Case Study for Cryptosporidium, pp. 119-252, Water Research, Elsevier, Amsterdam, Netherlands, 2017.
  • M. Elgallal, L. Fletcher, B. Evans, "Assessment of potential risks associated with chemicals in wastewater used for irrigation in arid and semiarid zones: a review," Agricultural Water Management, vol. 177, pp. 419-431, 2016.
  • W.-C. Liu, C.-E. Chung, "Enhancing the predicting accuracy of the water stage using a physical-based model and an artificial neural network-genetic algorithm in a river system," Water, vol. 6, no. 6, pp. 1642-1661, 2014.
  • D. Courault, I. Albert, S. Perelle, A. Fraisse, P. Renault, A. Salemkour, P. Amato, "Assessment and risk modeling of airborne enteric viruses emitted from wastewater reused for irrigation," Science of the Total Environment, vol. 592, pp. 512-526, 2017.
  • P. Kulkarni, S. Chellam, "Disinfection by-product formation following chlorination of drinking water: artificial neural network models and changes in speciation with treatment," Science of the Total Environment, vol. 408, no. 19, pp. 4202-4210.
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