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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Gespeichert in:

Autor*in:	Zheng Zeng [verfasserIn] Wei-Ge Luo [verfasserIn] Zhe Wang [verfasserIn] Fa-Cheng Yi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Tuojiang River water pollution heavy metal pollution BP-ANN evaluation

Übergeordnetes Werk:	In: Sustainability - MDPI AG, 2009, 13(2021), 2, p 792
Übergeordnetes Werk:	volume:13 ; year:2021 ; number:2, p 792

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/su13020792

Katalog-ID:	DOAJ018512836

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allfieldsSound	10.3390/su13020792 doi (DE-627)DOAJ018512836 (DE-599)DOAJ2b2682e851d14b93bef9b0082ab7ad07 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Zheng Zeng verfasserin aut Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Tuojiang River water pollution heavy metal pollution BP-ANN evaluation Environmental effects of industries and plants Renewable energy sources Environmental sciences Wei-Ge Luo verfasserin aut Zhe Wang verfasserin aut Fa-Cheng Yi verfasserin aut In Sustainability MDPI AG, 2009 13(2021), 2, p 792 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:13 year:2021 number:2, p 792 https://doi.org/10.3390/su13020792 kostenfrei https://doaj.org/article/2b2682e851d14b93bef9b0082ab7ad07 kostenfrei https://www.mdpi.com/2071-1050/13/2/792 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 13 2021 2, p 792
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callnumber-first	T - Technology
author	Zheng Zeng
spellingShingle	Zheng Zeng misc TD194-195 misc TJ807-830 misc GE1-350 misc Tuojiang River misc water pollution misc heavy metal pollution misc BP-ANN evaluation misc Environmental effects of industries and plants misc Renewable energy sources misc Environmental sciences Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
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topic_title	TD194-195 TJ807-830 GE1-350 Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis Tuojiang River water pollution heavy metal pollution BP-ANN evaluation
topic	misc TD194-195 misc TJ807-830 misc GE1-350 misc Tuojiang River misc water pollution misc heavy metal pollution misc BP-ANN evaluation misc Environmental effects of industries and plants misc Renewable energy sources misc Environmental sciences
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title	Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
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title_full	Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
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title_auth	Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis
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