Next Article in Journal
Fenton Process for Treating Acrylic Manufacturing Wastewater: Parameter Optimization, Performance Evaluation, Degradation Mechanism
Previous Article in Journal
Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model
Previous Article in Special Issue
Design Combination Optimized Approach for Urban Stormwater and Drainage Systems Using Copula-Based Method
 
 
Article

Contamination Assessment and Source Analysis of Urban Waterways Based on Bayesian and Principal Component Analysis—A Case Study of Fenjiang River

by 1, 1,2,3,*, 1, 4 and 1
1
School of Civil Engineering, Sun Yat-Sen University, Guangzhou 510275, China
2
Guangdong Key Laboratory of Oceanic Civil Engineering, Guangzhou 510275, China
3
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519000, China
4
Guangzhou Feng Ze-Yuan Water Conservancy Technology Co., Ltd., Guangzhou 510663, China
*
Author to whom correspondence should be addressed.
Academic Editor: José Luis Sánchez-Lizaso
Water 2022, 14(18), 2912; https://doi.org/10.3390/w14182912
Received: 10 August 2022 / Revised: 14 September 2022 / Accepted: 14 September 2022 / Published: 17 September 2022
(This article belongs to the Special Issue Urban Water Security and Sustainable Development)
Contamination assessment and source analysis of urban waterways are important for the environmental management of water resources. This study applied an improved water quality index (WQI), which was called WQI-DET (water quality index deterioration) to analyze the Fenjiang River’s (Foshan City, South China) water quality monitoring data from 2016 to 2021. Between 2016 and 2021, the Fenjiang River had the highest WQI-DET value in 2016. Since then, the water quality has shown a decreasing trend year by year. Then, through Spearman analysis, it was identified that the chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) are the main factors of water quality deterioration. Moreover a Bayesian model was used to analyze and evaluate the main factors. On this basis, relationships between COD, NH3-N, the natural environment, and human activities were analyzed by principal component analysis. The results showed that NH3-N has been the main factor affecting the water quality in recent years and there were no significant changes in COD and NH3-N during the study period. However, COD and NH3-N showed significant differences in spatial distribution. Meanwhile, human activities contributed 52.3% to the variability in the water quality of the Fenjiang River, and natural factors only 26.8%; factors not considered in this study contributed the remaining 20.9%. Human activities had a more significant impact on the water quality of the Fenjiang River than natural factors. View Full-Text
Keywords: contamination assessment; source analysis; Bayesian; principal component analysis contamination assessment; source analysis; Bayesian; principal component analysis
Show Figures

Figure 1

MDPI and ACS Style

Pang, J.; Lin, K.; Gan, W.; Hu, S.; Luo, W. Contamination Assessment and Source Analysis of Urban Waterways Based on Bayesian and Principal Component Analysis—A Case Study of Fenjiang River. Water 2022, 14, 2912. https://doi.org/10.3390/w14182912

AMA Style

Pang J, Lin K, Gan W, Hu S, Luo W. Contamination Assessment and Source Analysis of Urban Waterways Based on Bayesian and Principal Component Analysis—A Case Study of Fenjiang River. Water. 2022; 14(18):2912. https://doi.org/10.3390/w14182912

Chicago/Turabian Style

Pang, Jiafeng, Kairong Lin, Wenhui Gan, Sike Hu, and Wei Luo. 2022. "Contamination Assessment and Source Analysis of Urban Waterways Based on Bayesian and Principal Component Analysis—A Case Study of Fenjiang River" Water 14, no. 18: 2912. https://doi.org/10.3390/w14182912

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop