Prediction of biochemical oxygen demand in Mexican surface waters using machine learning / Maximiliano Guzmán-Fernández ... [et al.]

Maximiliano, Guzmán-Fernández and Misael, Zambrano-de la Torre and Claudia, Sifuentes-Gallardo and Oscar, Cruz-Dominguez and Carlos, Bautista-Capetillo and Juan, Badillo-de Loera and Efrén, González Ramírez and Héctor, Durán-Muñoz (2021) Prediction of biochemical oxygen demand in Mexican surface waters using machine learning / Maximiliano Guzmán-Fernández ... [et al.]. In: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021), 4-5 August 2021.

Abstract

The monitoring of surface water quality is insufficient in Mexico due to the limited water monitoring stations. The main monitoring parameter to evaluate surface water quality is the biochemical oxygen demand. This parameter estimates the biodegradable organic matter present in the water. Concentrations above 30 mg/l indicates a high level of contamination by domestic and industrial waste. Therefore, the aim of this work to provide a reference to the conventional process of determining biochemical oxygen demand using machine learning. The database used was collected by the National Water Commission (CONAGUA). Pearson’s correlation and Forward Selection techniques were applied to identify the parameters with the most important contribution to prediction of biochemical oxygen demand. Two groups were formed and used as input to four machine learning algorithms. Random forest algorithm obtained the best performance. Group 1 and 2 of parameters obtained a 0.76 and 0.75 coefficient of determination respectively. This allows choosing an adequate group of parameters that can be determined with the chemical analysis instruments available in the study area.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Maximiliano, Guzmán-Fernández
maxguzman1@hotmail.com
Misael, Zambrano-de la Torre
misaelzambrano1997@gmail.com
Claudia, Sifuentes-Gallardo
clauger17@gmail.com
Oscar, Cruz-Dominguez
racso_zurc@hotmail.com
Carlos, Bautista-Capetillo
baucap@uaz.edu.mx
Juan, Badillo-de Loera
l_badillo@uaz.edu.mx
Efrén, González Ramírez
gonzalezefren@uaz.edu.mx
Héctor, Durán-Muñoz
hectorduranm@hotmail.com
Subjects: T Technology > TP Chemical technology > Biotechnology
T Technology > TP Chemical technology > Biotechnology > Biochemical engineering. Bioprocess engineering
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: International Conference on Computing, Mathematics and Statistics
Event Title: e-Proceedings of the 5th International Conference on Computing, Mathematics and Statistics (iCMS 2021)
Event Dates: 4-5 August 2021
Page Range: pp. 428-435
Keywords: Machine learning, biochemical oxygen demand, Mexican surface waters
Date: 2021
URI: https://ir.uitm.edu.my/id/eprint/56242
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