Volume 6, Issue 3, June 2018, Page: 71-76
Temporal Changes in Water Quality Parameters of Two Sections of the Ancient Canal: A Case of a Reach for Yangnong Chemical Plant
Huang Yongzeng, School of Hydraulic, Energy and Power Engineering of Yangzhou University, Yangzhou, China
Huang Jinbai, School of Hydraulic, Energy and Power Engineering of Yangzhou University, Yangzhou, China
Zhou Yaming, School of Hydraulic, Energy and Power Engineering of Yangzhou University, Yangzhou, China
Zhen Ziqiang, Nanjing Hydrological Information Center, Nanjing, China
Zhou Qin, School of Hydraulic, Energy and Power Engineering of Yangzhou University, Yangzhou, China
Received: Jun. 11, 2018;       Accepted: Jun. 25, 2018;       Published: Jul. 13, 2018
DOI: 10.11648/j.ijema.20180603.11      View  765      Downloads  65
Abstract
The water quality of the Ancient Canal has changed significantly due to the continuous urbanization of Yangzhou City. The main objective of this study was to reveal the temporal changes of conventional water quality parameters in a specific section of the Ancient Canal that flows through the Yangnong Chemical Plant. Two sections (Sec. 1 and Sec. 2) located upstream and downstream of this chemical plant, respectively, were chosen for observation of water quality parameters, including temperature (WT), pH, dissolved oxygen concentration (DO), electrical conductivity (EC) and total dissolved solids (TDS) content. The correlation coefficient method (CC), single factor index method (SFI) and variation coefficient method (VC) were used to analyze the data obtained from October 2015 to September 2016. The results indicated that (1) WT of Sec. 2 was higher than Sec.1 by an average of 0.8°C. In addition, the pH increased and decreased occasionally and with no obvious trend. The mean DO of Sec. 2 was 1.80 mg/L lower than that of Sec. 1. The EC and TDS of Sec. 2 were higher than those of Sec. 1; a relatively high correlation existed between the observed results of each corresponding parameter between Sec. 1 and Sec. 2. Overall, the water quality of Sec. 2 was worse than that of Sec. 1 over the study period; VC of the DO was the maximum, while the VC of the pH was the minimum. The results provide a partial basis for further studies on water quality of the Ancient Canal and urban river of Yangzhou City.
Keywords
Ancient Canal, Water Quality Parameter, Correlation Coefficient Method (CC), Single Factor Index Method (SFI), Variation Coefficient Method (VC)
To cite this article
Huang Yongzeng, Huang Jinbai, Zhou Yaming, Zhen Ziqiang, Zhou Qin, Temporal Changes in Water Quality Parameters of Two Sections of the Ancient Canal: A Case of a Reach for Yangnong Chemical Plant, International Journal of Environmental Monitoring and Analysis. Vol. 6, No. 3, 2018, pp. 71-76. doi: 10.11648/j.ijema.20180603.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Christina M M Chin, Yeow Joo Ng. 2015. A perspective study on the urban river pollution in Malaysia. Chemical Engineering Transactions, 45, 745-750.
[2]
Sharifi Z, Hossaini S M T, Renella G. 2016. Risk assessment for sediment and stream water polluted by heavy metals released by a municipal solid waste composting plant. Journal of Geochemical Exploration, 169, 202-210.
[3]
Johnson R C, Jin H S, Carreiro M M, et al. 2013. Macroinvertebrate community structure, secondary production and trophic-level dynamics in urban streams affected by non-point-source pollution. Freshwater Biology, 58 (5), 843-857.
[4]
Wu L, Qi T, Li D, et al. 2015. Current status, problems and control strategies of water resources pollution in China. Water Policy, 17 (3), 423-440.
[5]
Luo D L, Lu P D, Yu G H. 2011. Study on the activity of the contaminative water and the impaction the water pollution of change urban river-net in the east plain region of China. Environmental Engineering, 29 (Suppl.), 59-62. (in Chinese with English abstract).
[6]
Chen Z T, Hua L, Jin Q N, et al. 2015. Assessing the efficacy of water diversion to improve water quality in city river network. Journal of Yangtze River Scientific Research Institute, 32 (7), 45-51. (in Chinese with English abstract).
[7]
Peng T, Chen L. 2010. Environmental assessment on heavy metal pollution of sediment in Yangzhou Ancient Canal with potential ecological risk index. Environmental Monitoring Management and Technology, 22 (2), 41-43. (in Chinese with English abstract).
[8]
Kuo X Y, Huang Y C, Chung C C, et al. 2014. Spatial and temporal variance analysis of water quality purification in Linluo artificial wetland. Trans Tech, 6, 1250-1254.
[9]
Sun W G, Xing J, Ma Y, et al. 2010. The application of single factor water quality identification index for environmental quality assessment of one river basin. Environmental Science and Management, 35 (11), 181-194. (in Chinese with English abstract).
[10]
Mao F J, He Y L, Xu Z M, et al. 2014. Water quality evaluation of Heyuan reach of Dongjiang River based on the single factor water quality identification index. Journal of Safety and Environment, 14 (5), 327-330. (in Chinese with English abstract).
[11]
Hayter A J. 2013. Confidence bounds on the coefficient of variation of a normal distribution with applications to win-probabilities. Journal of Statistical Computation & Simulation, 85 (18), 3778-3791.
[12]
Andrzej B, Leszek R, Milan Ž. 2017. Analysis of the coefficient of variation for injection pressure in a compression ignition engine. Procedia Engineering, 177, 297-302.
[13]
Murat A Y, Kisi O. 2012. Modeling of dissolved oxygen concentration using different neural network techniques in foundation creek, El Paso County, Colorado. Journal of Environmental Engineering, 138 (6), 654-662.
[14]
Rajwa-Kuligiewicz A, Bialik R J, Rowinski P M. 2015. Dissolved oxygen and water temperature dynamics in lowland rivers over various timescales. Journal of Hydrology and Hydromechanics, 63 (4), 353-363.
[15]
Sutherland D A, O’Neill M A. 2016. Hydrographic and dissolved oxygen variability in a seasonal Pacific Northwest estuary. Estuarine Coastal and Shelf Science, 172, 47-59.
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