Using simple and easy water quality parameters to predict trihalomethane occurrence in tap water-Reference-Cited by-同舟云学术

Using simple and easy water quality parameters to predict trihalomethane occurrence in tap water

Published:2022-01 Issue: Volume:286 Page:131586
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Xu Zeqiong,Shen Jiao,Qu Yuqing,Chen Huangfei,Zhou Xiaoling,Hong Huachang,Sun Hongjie,Lin Hongjun,Deng Wenjing,Wu Fuyong

Publisher

Elsevier BV

Subject

General Medicine,General Chemistry,Environmental Chemistry,Environmental Engineering,Pollution,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference58 articles.

1. Application of a radial basis function artificial neural network to seismic data inversion;Baddari;Comput. Geosci.,2009

2. Relationships between DBP concentrations and differential UV absorbance in full-scale conditions;Beauchamp;Water Res.,2018

3. Public drinking water contamination and birth outcomes;Bove;Am. J. Epidemiol.,1995

4. Artificial neural network modeling of dissolved oxygen in reservoir;Chen;Environ. Monit. Assess.,2014

5. Models for predicting disinfection byproduct (DBP) formation in drinking waters: a chronological review;Chowdhury;Sci. Total Environ.,2009

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