Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis

This work aimed to assess the water quality of the Tuojiang River Basin in recent years to provide a better understanding of its current pollution situation, and the potential pollution risks and causes. Water quality parameters such as dissolved oxygen (DO), ammonia–nitrogen (NH<sub>3</sub...

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Main Authors: Zheng Zeng, Wei-Ge Luo, Zhe Wang, Fa-Cheng Yi
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/2/792
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spelling doaj-2b2682e851d14b93bef9b0082ab7ad072021-01-16T00:01:39ZengMDPI AGSustainability2071-10502021-01-011379279210.3390/su13020792Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network AnalysisZheng Zeng0Wei-Ge Luo1Zhe Wang2Fa-Cheng Yi3College of Environment and Resources, Southwest University of Science and Technology, Mianyang 621010, ChinaCollege of Environment and Resources, Southwest University of Science and Technology, Mianyang 621010, ChinaCollege of Environment and Resources, Southwest University of Science and Technology, Mianyang 621010, ChinaCollege of Environment and Resources, Southwest University of Science and Technology, Mianyang 621010, ChinaThis work aimed to assess the water quality of the Tuojiang River Basin in recent years to provide a better understanding of its current pollution situation, and the potential pollution risks and causes. Water quality parameters such as dissolved oxygen (DO), ammonia–nitrogen (NH<sub>3</sub>-N), total phosphorus (TP), the permanganate index (CODMn), five-day biochemical oxygen demand (BOD5), pH, and concentrations of various heavy metals were measured in the Tuojiang River, according to the national standards of the People’s Republic of China. Samples were collected between 2012 to 2018 at 11 national monitoring sites in the Tuojiang River Basin. The overall water pollution situation was evaluated with back propagation artificial neural network (BP-ANN) analysis. The pollution causes were analyzed considering both industrial wastewater discharge in the upper reaches and the current pollution situation. We found potential risks of excessive NH<sub>3</sub>-N, TP, Cd, Hg, and Pb concentrations in the Tuojiang River Basin. Moreover, corresponding water pollution control suggestions were given.https://www.mdpi.com/2071-1050/13/2/792Tuojiang Riverwater pollutionheavy metal pollutionBP-ANN evaluation
collection DOAJ
language English
format Article
sources DOAJ
author Zheng Zeng
Wei-Ge Luo
Zhe Wang
Fa-Cheng Yi
spellingShingle Zheng Zeng
Wei-Ge Luo
Zhe Wang
Fa-Cheng Yi
Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
Sustainability
Tuojiang River
water pollution
heavy metal pollution
BP-ANN evaluation
author_facet Zheng Zeng
Wei-Ge Luo
Zhe Wang
Fa-Cheng Yi
author_sort Zheng Zeng
title Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
title_short Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
title_full Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
title_fullStr Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
title_full_unstemmed Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
title_sort water pollution and its causes in the tuojiang river basin, china: an artificial neural network analysis
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-01-01
description This work aimed to assess the water quality of the Tuojiang River Basin in recent years to provide a better understanding of its current pollution situation, and the potential pollution risks and causes. Water quality parameters such as dissolved oxygen (DO), ammonia–nitrogen (NH<sub>3</sub>-N), total phosphorus (TP), the permanganate index (CODMn), five-day biochemical oxygen demand (BOD5), pH, and concentrations of various heavy metals were measured in the Tuojiang River, according to the national standards of the People’s Republic of China. Samples were collected between 2012 to 2018 at 11 national monitoring sites in the Tuojiang River Basin. The overall water pollution situation was evaluated with back propagation artificial neural network (BP-ANN) analysis. The pollution causes were analyzed considering both industrial wastewater discharge in the upper reaches and the current pollution situation. We found potential risks of excessive NH<sub>3</sub>-N, TP, Cd, Hg, and Pb concentrations in the Tuojiang River Basin. Moreover, corresponding water pollution control suggestions were given.
topic Tuojiang River
water pollution
heavy metal pollution
BP-ANN evaluation
url https://www.mdpi.com/2071-1050/13/2/792
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AT zhewang waterpollutionanditscausesinthetuojiangriverbasinchinaanartificialneuralnetworkanalysis
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