Analyses on the spatial evolution and distribution of surface water quality are important to the treatment and protection of water environment in a lake. In Balihe Lake, an inland freshwater lake in east China, 7 water environmental factors at 45 sampling sites were monitored and served as the basis of this study. Cluster analysis (CA), a multivariate statistical analysis method, was utilized to study the spatial variation and grouping of these sampling sites based on the monitored water quality data. The results of this study showed that the water quality characteristics at these 45 sampling sites, which was grouped into the clusters of upstream, midstream and downstream, highly depended on the spatial location of the lake. Some nutrients content of the upstream area was much higher, while the water quality of the downstream area was much better although some of water quality indicators at the outlet still didn’t match the standards of local government. The CA results of the study may provide some guidance to the priority areas of water environment protection or treatment for the government.
Published in | International Journal of Environmental Protection and Policy (Volume 7, Issue 3) |
DOI | 10.11648/j.ijepp.20190703.12 |
Page(s) | 93-98 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Cluster Analysis, Surface Water Quality, Balihe Lake, Freshwater Lake
[1] | B. G. Li and F. Huang (2010) Trends in China's Agricultural Water Use During Recent Decade Using the Green and Blue Water Approach. Advances in Water Science 21 (4), 575-583. (In Chinese) |
[2] | Y. C. Liu, J. M. Yuan and X. X. Jin (2014) Pollution Status and Prevention Measures of Agricultural Water in China [J]. Environmental Engineering 32 (4), 1-3+21. (In Chinese) |
[3] | J. F. Song, Y. N. Guo, P. T. Wu, et al. (2018) The Agricultural Water Rebound Effect in China. Ecological Economics 146, 497-506. |
[4] | H. J. Li and Z. W. Mu (2012) Causes and Control Measures of Water Environmental Pollution in Watershed. Environmental Pollution & Control 34 (3), 110-112. (In Chinese) |
[5] | W. Dixon and B. Chiswell (1996) Review of Aquatic Monitoring Program Design. Water Research 30 (9), 1935-1948. |
[6] | B. Zhang, X. F. Song, Y. H. Zhang, et al. (2012) Hydrochemical Characteristics and Water Quality Assessment of Surface Water and Groundwater in Songnen Plain, Northeast China. Water Research 46 (8), 2737-2748. |
[7] | Y. Anteneh, G. Zeleke and E. Gebremariam (2018) Assessment of Surface Water Quality in Legedadie And Dire Catchments, Central Ethiopia, Using Multivariate Statistical Analysis. Acta Ecologica Sinica 38 (2), 81-95. |
[8] | M. F. Zhong, H. Y. Zhang, X. W. Sun, et al. (2018) Analyzing the Significant Environmental Factors on The Spatial and Temporal Distribution of Water Quality Utilizing Multivariate Statistical Techniques: A Case Study in The Balihe Lake, China. Environmental Science and Pollution Research 25, 29418–29432. |
[9] | Environmental Protection Administration of Peoples Republic of China (2009) Monitoring and Analysis Methods of Water and Wastewater (4th Edition). Beijing: China Environmental Science Press. (in Chinese) |
[10] | H. S. Xu, Z. X. Xu, W. Wu and F. F. Tang (2012) Assessment and Spatiotemporal Variation Analysis of Water Quality in The Zhangweinan River Basin, China. Procedia Environmental Sciences 13, 1641-1652. |
[11] | S. Alelyani, J. L. Tang and H. Liu (2018) “Feature Selection for Clustering: A Review,” in Data Clustering, C. C. Aggarwal and C. K. Reddy Eds. New York: Chapman and Hall/CRC. |
[12] | C. P. Yue, X. Li (2019) Study on Water Quality Factors in Wuliangsuhai Lake Based on Clustering Analysis. Yellow River 41 (5), 67-70+76. (In Chinese) |
[13] | J. Jia (2019) Quality Change and Control Measures of Water in Huangshui River Based on Multivariate Statistical Analysis Method. China Energy and Environmental Protection 41 (2), 107-110. (In Chinese) |
[14] | X. X. Li, H. Li and H. J. Song (2003) Analysis of Quality and Trend of Surface Water Resources in Xinjiang. Arid Land Geography, 26 (3), 254-259. (In Chinese) |
[15] | S. Shrestha, and F. Kazama (2007) Assessment of surface Water Quality Using Multivariate Statistical Techniques: A Case Study of The Fuji River Basin, Japan. Environmental Modelling & Software 22 (4), 464-475. |
[16] | W. Wang, Z. Y. Wang, X. J. Bai, et al. (2019) Spatial Distribution and Correlation Analyses of Water Quality of Different Types of Rivers in A Typical Northern City. Environmental Engineering (Online). (In Chinese) |
[17] | Z. Zhang, F. L. Tao, J. Du, et al. (2010) Surface Water Quality and Its Control in A River with Intensive Human Impacts-A Case Study of The Xiangjiang River, China. Journal of Environmental Management 91 (12), 2483-2490. |
[18] | Environmental Protection Administration of Peoples Republic of China. (2002) Surface Water Environmental Quality Standards (GB 3838-2002). (in Chinese) |
[19] | X. W. Sun, H. Y. Zhang, M. F. Zhong, et al. (2019) Analyses on the Temporal and Spatial Characteristics of Water Quality in a Seagoing River Using Multivariate Statistical Techniques: A Case Study in the Duliujian River, China. International Journal of Environmental Research and Public Health 16, 1020. |
[20] | W. H. M. W. Mohtar, K. N. A. Maulud, N. S. Muhammad, et al. (2019) Spatial and temporal risk quotient based river assessment for water resources management. Environmental Pollution 248, 133-144. |
APA Style
Jiazhu Lan, Meifang Zhong, Yixin Xu, Zhongyu Wang, Hai Huang. (2019). Applications of Cluster Analysis Method in Surface Water Quality Assessment: A Case Study in Balihe Lake, China. International Journal of Environmental Protection and Policy, 7(3), 93-98. https://doi.org/10.11648/j.ijepp.20190703.12
ACS Style
Jiazhu Lan; Meifang Zhong; Yixin Xu; Zhongyu Wang; Hai Huang. Applications of Cluster Analysis Method in Surface Water Quality Assessment: A Case Study in Balihe Lake, China. Int. J. Environ. Prot. Policy 2019, 7(3), 93-98. doi: 10.11648/j.ijepp.20190703.12
AMA Style
Jiazhu Lan, Meifang Zhong, Yixin Xu, Zhongyu Wang, Hai Huang. Applications of Cluster Analysis Method in Surface Water Quality Assessment: A Case Study in Balihe Lake, China. Int J Environ Prot Policy. 2019;7(3):93-98. doi: 10.11648/j.ijepp.20190703.12
@article{10.11648/j.ijepp.20190703.12, author = {Jiazhu Lan and Meifang Zhong and Yixin Xu and Zhongyu Wang and Hai Huang}, title = {Applications of Cluster Analysis Method in Surface Water Quality Assessment: A Case Study in Balihe Lake, China}, journal = {International Journal of Environmental Protection and Policy}, volume = {7}, number = {3}, pages = {93-98}, doi = {10.11648/j.ijepp.20190703.12}, url = {https://doi.org/10.11648/j.ijepp.20190703.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20190703.12}, abstract = {Analyses on the spatial evolution and distribution of surface water quality are important to the treatment and protection of water environment in a lake. In Balihe Lake, an inland freshwater lake in east China, 7 water environmental factors at 45 sampling sites were monitored and served as the basis of this study. Cluster analysis (CA), a multivariate statistical analysis method, was utilized to study the spatial variation and grouping of these sampling sites based on the monitored water quality data. The results of this study showed that the water quality characteristics at these 45 sampling sites, which was grouped into the clusters of upstream, midstream and downstream, highly depended on the spatial location of the lake. Some nutrients content of the upstream area was much higher, while the water quality of the downstream area was much better although some of water quality indicators at the outlet still didn’t match the standards of local government. The CA results of the study may provide some guidance to the priority areas of water environment protection or treatment for the government.}, year = {2019} }
TY - JOUR T1 - Applications of Cluster Analysis Method in Surface Water Quality Assessment: A Case Study in Balihe Lake, China AU - Jiazhu Lan AU - Meifang Zhong AU - Yixin Xu AU - Zhongyu Wang AU - Hai Huang Y1 - 2019/08/19 PY - 2019 N1 - https://doi.org/10.11648/j.ijepp.20190703.12 DO - 10.11648/j.ijepp.20190703.12 T2 - International Journal of Environmental Protection and Policy JF - International Journal of Environmental Protection and Policy JO - International Journal of Environmental Protection and Policy SP - 93 EP - 98 PB - Science Publishing Group SN - 2330-7536 UR - https://doi.org/10.11648/j.ijepp.20190703.12 AB - Analyses on the spatial evolution and distribution of surface water quality are important to the treatment and protection of water environment in a lake. In Balihe Lake, an inland freshwater lake in east China, 7 water environmental factors at 45 sampling sites were monitored and served as the basis of this study. Cluster analysis (CA), a multivariate statistical analysis method, was utilized to study the spatial variation and grouping of these sampling sites based on the monitored water quality data. The results of this study showed that the water quality characteristics at these 45 sampling sites, which was grouped into the clusters of upstream, midstream and downstream, highly depended on the spatial location of the lake. Some nutrients content of the upstream area was much higher, while the water quality of the downstream area was much better although some of water quality indicators at the outlet still didn’t match the standards of local government. The CA results of the study may provide some guidance to the priority areas of water environment protection or treatment for the government. VL - 7 IS - 3 ER -