Statistical Analysis of Dez River Water Quality, Southwest of Iran
محورهای موضوعی : Research paper
1 - Department of geology, science saculty, Islamic Azad University, Islamshahr branch, Islamshahr, Iran
کلید واژه: pollution, Physical and Chemical parameters, Dez River, Statistic method,
چکیده مقاله :
Dez River is considered as one of the highest water rivers after Karoon River, supplying water for tens of towns and villages as well as thousands of acres of agricultural lands, several fish farming plans and industrial factories. Hence, the water quality of Dez River is one of the major concerns of the area. This study was carried out using descriptive-statistical method based on a 39 year time span statistics. A number of 394 samples were analyzed and the concentration of physical and chemical parameters including pH, TDS, SAR, total cations and anions were measured. The obtained results were examined and compared based on the statistical analyses consistent with the World Health Organization (WHO) standards. Dez River water quality has been “Perfect” in most cases (99.8% of the statistical periods) on the basis of TDS and average sum of them amounting to 644 mg/l; indeed only in 2% of the statistical periods the water quality has been determined as Acceptable, while most of the water quality parameters have been within the permissible range of the WHO standards.
Afkhami M, 2002. Karoon river groundwater and surface water pollution relation at Ahvaz city, 2nd International Conference on water
resources and environmental research, Dresden University, Germany. USA, pp 844.
Alhassan H., Ismail Basim, Sh., Abed Shahla A.,;2014; Application of Multivariate Statistical Techniques in the surface water quality Assessment of Tigris River at Baghdad stretch, Journal of Babylon University, Engineering Sciences/ No.(2)/ Vol. (22), p450-462.
Ali Khan, M., Lang, S. M., Shaukat, S., Alamgir A. and Baloch, T. (2014); Water Quality Assessment of Hingol River, Balochistan, Pakistan; Middle-East Journal of Scientific Research 19 (2): 306-313,
Cao, R., Jiang, W. Yuan, L. Wang, W. Lv, Z. Chen, Z. (2014):Inter-annual variations in vegetation and their response to climatic factors in the upper catchments of the Yellow River from 2000 to 2010, Journal of Geographical Sciences, Volume 24, Issue 6, pp 963–979
Ebadati, N. (2014); Qualitative assessment of potential Dez River for drinking, industry and agriculture, research project , Islamic Azad University, Islamshahr branch, Iran, code No.231, 117p.
Ebadati, N., Hooshmandzadeh, M., Behzad, N.,(2014);A comparison of the correlation Matrix and Man-Kendal correlation statistical methods for analyzing the qualitative parameters of Dez River water, Journal of MAGNT Research Report, Vol.2 (Special Issue) PP: 986-1001.
Halliday, S. J., Ske_ngton, R. A., Bowes, M. J., Gozzard, E., Newman, J. R., Loewenthal, M.,Palmer-Felgate, E. J., Jarvie, H. P., and Wade, A. J.(2014): The water quality of the River Enborne,UK: observations from high-frequency monitoring in a rural, lowland river system, Water, 6,30 150–180.
Haghighi S., Arabi H.,(2010); Water xploitation of Karoon River for fish culturing through monitoring and simulation systems, Iranian Journal of Fisheries Sciences, Vol. 9(2) 209-218.
Kabi H., Rafizade M. and Jafarzade N.,(2002); Determining the self-refining of Karoon River for zinc and cadmium heavy metal, the 6th international river engineering seminar, Chamran University, Ahvaz, Iran. (In Persian).
Kanakoudis V., Tsitsifli, S. Samaras P., Zouboulis A.(2015); Erratum to: Water Pipe Networks Performance Assessment: Benchmarking Eight Cases Across the EU Mediterranean Basin; Water Qual Expo Health (2015) 7:109124.
Liu, Y., Zheng, B., Wang, M., Xu, Y., and Qin, Y.(2014): Optimization of sampling frequency for routine river water quality monitoring, Science China Chemistry, 57, 772–778.
Marsili-Libelli,S. Giusti,E.(2007); Water quality modeling for small river basins, environmental modeling & Software 23 (2008)-pp: 451-463.
Mohmmad Khalil, W. M. A., Abdullah, M. P.,Al-Qaim, F.F., (2015); Chemometric Application on Surface River Water Quality: A Case Study of Linggi River, Malaysia, Iranica Journal of Energy and Environment 6(1): 26-33, 2015.
Mohammad Salah, E. A., Turki, A. M., Al-Othman, E. M. (2012); Assessment of Water Quality of Euphrates River Using Cluster Analysis, Journal of Environmental Protection, Vol.3(3), 1629-1633.
Moyel, S.(2014); Assessment of water quality of the Shatt Al-Arab River, using multivariate statistical technique; Mesopotomia Environment Journal, 2014, Vol. 1, No. 1, pp. 39-46.
Nayan J. K, Parag P. and Krishna G. B. (2012); Physico-chemical studies on surface water quality in the Jia-Bharali River Basin, North Brahmaputra Plain, India, Archives of Applied Science Research, 2012, 4 (2):1169-1174.
Nielsen, D. M. (2006); Practical handbook of environmental site characterization and ground-water monitoring, second edition , Taylor & Francis published, printed in the united states of American.ISBN:l.56670-589-4, 1317p.
Parham H, Jafarzadeh NA, Dehghan S, KianErsi F.,(2008): Study of concentration changes of nitrogen, phosphorus and some environment parameters in the lake behind the Karkheh and determining its budget.2th national congress, crisis of Iran environment and strategy of improvement, Islamic Azad University, Unit of sciences and researches of Ahvaz center,pp23-32.
Policht-Latawiec A. Bogdał1, A. Kanownik, W. Kowalik, T., Ostrowski, K.,(2015); Variability of physicochemical properties water of the transboundary Poprad River, Journal of Ecological Engineering,Vol.16(1), pp.100-109.
Rahman, A., and Owais Chughtai, M.,(2014); Regional interpretation of river Indus water quality data using regression model” African Journal of Environmental Science and Technology, Vol. 8(1), pp. 86-90.
Rasti, M, Nabavi, S.M, Jafarzadeh N., (2007); Investigation of Fish Farm Wastewater on Gargar River using algae as biologic indicator, 7th IREC, Ahvaz, Iran, (In Persian).
Sarani, N. Soltani,J. Sarani,S. and Moasheri, A.,(2012); Comparison of artificial neural network and multivariate linear regression model to predict sodium adsorption ratio (Case Study: Sistan River, Iran), International Conference on Chemical, Ecology and Environmental Sciences (ICEES'2012) march 17-18, 2012 Bangkok, proceeding, Vol.1,pp:130-134.
Shahidi, A. Tajbakhsh,, M. Khasheie, A. Khozeymehnejad, H. Jafarzadeh ,A., (2017); Uncertainty analysis of temperature and precipitation variation influenced by climate change (Case Study: Southern Khorasan Province) ,Journal of Ecohydrology,Volume 4, Issue 4, Pp. 943-953.
Simeonov, V. , Stratis, J.A. , Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A., Sofonioub, M., Kouimtzis, T. (2003); "Assessment of the surface water quality in Northern Greece, "Water Research, vol. 37, pp. 4119-4124.
Ske-ngton, R. A. , Halliday, S. J., Wade, A. J., Bowes, M. J. and Loewenthal ,M.(2015); Using high frequency water quality data to assess sampling strategies for the EU Water Framework Directive, Hydrol. Earth Syst. Sci. Discuss., 12, 1279–1309.
Vega, M., Pardo, R., Barrado, E., and Deban, L,(1998);"Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis," Water Research, vol. 32, pp. 3581-3592.
Yerel S., and Ankara, H. (2015); Application of Multivariate Statistical Techniques in the Assessment of Water Quality in Sakarya River, Turkey, Journal Geological Society of India, Vol. 79, 1, 2012, pp. 89-93.
Zarei, H. Pourreza, M.,(2013); Factor analysis of chemical composition in the Karoon River basin, southwest of Iran, Appl Water Sci Jour.(2013) 3:753–761.
Zhang, Q., Li, Z., Zeng, G. Li, J., Fang, Y., Yuan, Q., Wang Y., and Ye, F.(2009); Assessment of Surface Water Quality Using Multivariate Statistical Techniques in Red Soil Hilly Region: A Case Study of Xiangjiang Watershed, China, Journal of Environmental Monitoring and Assessment, Vol. 152, No. 1-4, pp. 123-131.
Zhao, J., G. Fu, G., Lei, K. and Li, Y. (2011); Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management, Journal of Environmental Sciences, 23(9): 1460-1471.
