Sensitivity Analysis of Groundwater Quality around Peat Swamp Forest Region to Examine Trend Analysis of Physicochemical Parameters
International Journal of Energy and Environmental Science
Volume 1, Issue 1, November 2016, Pages: 1-6
Received: Oct. 25, 2016;
Accepted: Nov. 4, 2016;
Published: Nov. 25, 2016
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Milad Kurdi, Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
Taymour Eslamkish, Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
The aim of this study was examine sensitivity analysis of groundwater quality around peat swamp forest region to determine trend analysis of physicochemical parameters. In order to achieve this goal, samples were taken from Ziarat spring, the nearest hydrometric station around Suteh PSF from 1998 to 2015. The parameters such as TDS, EC, pH and major ions including SO4, Mg, HCO3, Ca, Na, Cl, and K of the Ziarat spring were analyzed. To examine the trend analysis of physiochemical parameters, the winter’s model of time series analysis has been used. The order of abundance of ions are HCO3> Cl> Na> SO4> Ca> Mg> K. The trend analysis of pH demonstrates a decreasing trend (from alkaline to acidic) but EC and TDS trends show a rising trend. According to sensitivity analysis by using the response analysis of factorial analysis and Pareto charts, the most important factor for pH was Na×HCO3 and then a combination of Ca, Mg and HCO3. For EC, the most important factor was calcium and then the K×SO4 factor and for TDS, it was the K × SO4 and then the K × Ca factor. Determinative ions based on the singular sensitivity analysis pH are in the following order Ca > HCO3> Mg> SO4> K> Na > Cl. Meanwhile, for EC, the determinant ions are in the following order Ca > Mg> SO4> HCO3> Na >K> Cl and the determinant ions for TDS are followed by K> Cl > HCO3> Ca > Mg> SO4> Na.
Sensitivity Analysis of Groundwater Quality around Peat Swamp Forest Region to Examine Trend Analysis of Physicochemical Parameters, International Journal of Energy and Environmental Science.
Vol. 1, No. 1,
2016, pp. 1-6.
Xing-hui, X. I. A., Jing-sheng, C. H. E. N., & Xu-yi, C. A. I.. Spectrum characteristics of major ion concentrations at Wuhan section of the Changjiang River. Chinese Geographical Science (English), 2001, 11(4).
Ravichandran, S. Hydrological influences on the water quality trends in Tamiraparani Basin, south India. Environmental monitoring and assessment, 87(3), 2003, 293-309.
Sivasubramanian, P., Balasubramanian, N., Soundranayagam, J. P., & Chandrasekar, N. Hydrochemical characteristics of coastal aquifers of Kadaladi, Ramanathapuram District, Tamilnadu, India. Applied Water Science, 2013, 3(3), 603-612.
Páez-Osuna, F. Camaronicultura y medio ambiente. Instituto de Ciencias Del Mary, 2001.
Kurdi, M., Eslamkish, T., Seyedali, M., & Ferdows, M. S., Water quality evaluation and trend analysis in the Qareh Sou Basin, Iran. Environmental Earth Sciences, 73(12), 2015, 8167-8175.
Lu, W. X., Zhao, Y., Chu, H. B., & Yang, L. L. The analysis of groundwater levels influenced by dual factors in western Jilin Province by using time series analysis method. Applied Water Science, 2014, 4(3), 251-260.
Feng, L., & Zhou, J. Trend predictions in water resources using rescaled range (R/S) analysis. Environmental earth sciences, 2013, 68(8), 2359-2363.
ZHAO, J., BU, Y. M., & ZHOU, X. J. Application of time series analysis method in groundwater level dynamic forecast of Shenyang City [J]. Water Resources & Hydropower of Northeast China, 2007, 8, 014.
Yang, Z. P., Lu, W. X., Long, Y. Q., & Li, P. Application and comparison of two prediction models for groundwater levels: A case study in Western Jilin Province, China. Journal of arid environments, 2009, 73(4), 487-492.
Liang, Y. H. Analyzing and forecasting the reliability for repairable systems using the time series decomposition method. International Journal of Quality & Reliability Management, 2011, 28(3), 317-327.
Seth, R., Singh, P., Mohan, M., Singh, R., & Aswal, R. S. Applied Water Science, 2013, 3(4), 717-720.
Kurdi, M., Hezarkhani, A., & Eslamkish, T. Assessment of chemical properties and hydro-geochemical coefficients at the Qareh Sou Basin, Golestan Province, Iran. Environmental earth sciences, 2014, 72(9), 3243-3249.
APHA (American Public Health Association). Standard methods for the examination of water and wastewater. American Public Health Association, Port City Press, Maryland, U.S.A. 1998.
Chapman, D. V. (Ed.). Water quality assessments: a guide to the use of biota, sediments and water in environmental monitoring (p. 626). London: E & Fn Spon. 1996.
APHA (American Public Health Association), AWWA (American Water Works Association.) & Water Environment Federation. Standard Methods for the Examination of Water and Wastewater (20th). Baltimore, MD: American Public Health Association, 1999.
Thompson, K. Characterizing and managing salinity loadings in reclaimed water systems. American Water Works Association. 2006.
Kurdi, M., Ferdows, M. S., & Maghsoudi, A. Sensitivity of Corrosion and Scaling Indices Based on Ions; Case Study Iran. Water Quality, Exposure and Health, 2015, 7(3), 363-372.
Naddafi, K., Honari, H., and Ahmadi, M. Water quality trend analysis for the Karoon River in Iran. Environmental monitoring and assessment, 2007, 134(1-3), 305-312.