مطالعه تغییرات فصلی خودپالایی رودخانه کارون

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مهندسی آبیاری و آبادانی، دانشگاه تهران

2 دانشکده مهندسی عمران، پردیس دانشکده های فنی، دانشگاه تهران

چکیده

مطالعات ظرفیت خودپالایی رودخانه، اطلاعات مورد نیاز برای محاسبه حداکثر بار آلودگی قابل تحمل در رودخانه را فراهم می کند. در مقاله حاضر به مطالعه تغییرات فصلی پدیده خودپالایی رودخانه کارون پرداخته شده است. برای این منظور در طول 113 کیلومتر از رودخانه متغیرهای کیفی DO، BOD، نیترات و کلیفرم با استفاده از مدل QUAL2Kw شبیه سازی و مطالعه گردید. داده های سال 1389 به دلیل کفایت مورد نیاز به منظور واسنجی و صحت سنجی استفاده گردید. همچنین زمان های بحرانی پدیده خودپالایی رودخانه برای پارامترهای BOD، نیترات و کلیفرم مطالعه و بررسی گردید. سپس سه حالت کاهش 30 درصدی دبی و یا غلظت جریان آلاینده های ورودی به رودخانه و افزایش 30 درصدی جریان رودخانه در بالادست برای بهبود کیفیت کاربری آب رودخانه، در ماه هایی که استاندارد کاربری ارضاء نشده بود، بررسی گردید. نتایج نشان می دهد که کاهش 30% غلظت آلاینده های ورودی برای نیترات در ماه های دی و بهمن و برای BOD در تمام ماه ها بجز مهر ماه که بیشتر از حد استاندارد کاربری بوده اند، بیشترین تاثیر را در بهبود مقدار این متغیرهای کیفیت آب داشته است. برای متغیر کلیفرم 30% کاهش غلظت آلاینده های ورودی رودخانه های دز و گرگر به رودخانه کارون و آلاینده های ورودی در بازه ملاثانی تا اهواز بیشترین تاثیر بهبود مقدار کلیفرم را داشته است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Investigation of Seasonal Self-purification Variations of Karun River, Iran

نویسندگان [English]

  • S. Moghimi Nezad 1
  • K. Ebrahimi 2
  • R. Kerachian 2
1 Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran
2 Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran
چکیده [English]

Evaluation of a river self-purification capacity provides required information for a sustainable management of the river receiving pollutants. The main target of this paper is to study and predict the seasonal variation of self-purification capacity of Karun River, IRAN. Dissolved oxygen (DO), BOD, nitrate and pathogens were the main quality parameters, which were considered in this paper. To achieve this aim, a length of 113 km of the river was simulated using QUAL2Kw model and calibrated and verified using field measured data in 2010. The above mentioned datasets were used also to determine the critical periods of self-purification phenomenon, involving the model for BOD, nitrate and pathogen parameters. Furthermore, three scenarios were supposed and considered, including, 30% reduction in the waste waters flow, increasing the river monthly flow by 30% and finally decrement of the waste waters concentrations by 30%. The above mentioned scenarios were assumed in order to enhance the water quality of the river, during the months with no standard limits. Results indicated that, the decrease of nitrate in January and February and the decrease of BOD for all month except October up to 30 %, have had the most positive effects on river water quality. The 30% decrease of waste waters flow rate containing pathogens had the most positive effects on the river water quality.

کلیدواژه‌ها [English]

  • QUAL2Kw
  • Assimilative
  • Modelling
  • Karun River
  • pollutant

مراجع

[1] Vice Presidency for Strategic Planning and Supervision, Guideline Manual For Assimilative Capacity Studies in Rivers, Islamic Republic of Iran, 2009.
[2] G.A. Azimi M, Hashemi S, Barekatin S, Jafari Gol F Investigation of self-purification With the help of the results of qualitative simulation (study area: Sefidrood river), in: National Water Conference with Clean Water Approach, University of Water and Power Industry (Shahid Abbaspour), 2009.[In Persion]
[3] N. Mehrdadi, M. Ghobadi, T. Nasrabadi, H. Hoveidi, Evaluation of the quality and self purification potential of Tajan river using QUAL2E model, Journal of Environmental Health Science & Engineering, 3(3) (2006) 199-204.
[4] C. Fan, C.-H. Ko, W.-S. Wang, An innovative modeling approach using Qual2K and HEC-RAS integration to assess the impact of tidal effect on River Water quality simulation, Journal of Environmental Management, 90(5) (2009) 1824-1832.
[5] R.d.A. Camargo, M.L. Calijuri, A.d.F. Santiago, E.d.A.d. Couto, Water quality prediction using the QUAL2Kw model in a small karstic watershed in Brazil, Acta Limnologica Brasiliensia, 22(4) (2010) 486-498.
[6] F. Bottino, I.C. Ferraz, E.M. Mendiondo, M.d.C. Calijuri, Calibration of QUAL2K model in Brazilian micro watershed: effects of the land use on water quality, Acta Limnologica Brasiliensia, 22(4) (2010) 474-485.
[7] R. Zhang, X. Qian, X. Yuan, R. Ye, B. Xia, Y. Wang, Simulation of water environmental capacity and pollution load reduction using QUAL2K for water environmental management, International journal of environmental research and public health, 9(12) (2012) 4504-4521.
[8] M. Shamsaei, S. Oraei Zare, A. Srang, Investigation of quality and zoning of Karun and Dez river, in: Water and Wastewater Isfahan, 2005. [In Persion]
[9] J.N. Bani Saeid N, Hashemi H and Tavasoli A Investigation of Karun water qoality in GarGar reach by Qoual2k, in: Third National Congress of Civil Engineering, Tabriz University of Tabriz, Depatrement of Civil Engineering, 2008. [In Persion]
[10] M. Karamouz, N. Mahjouri, R. Kerachian, River water quality zoning: a case study of Karoon and Dez River system, (2004).
[11] M.M. BAGHERIAN, A.M. Akhoundali, H. Moazed, N. Jaafarzadeh, J. Ahadian, H. Hasoonizadeh, Evaluation of Karun River Water Quality Scenarios Using Simulation Model Results, (2014).
[12] M. Afkhami, M. Shariat, H.N.E. JAFARZADEH, H. Ghadiri, N.R. NABIZADEH, Developing a water quality management model for Karun and Dez Rivers, (2007).
[13] M. Karamouz, A master plan for water pollution reduction of Karoon River in the province of Khuzestan, Khuzestan Department of Environment, (2002).
[14] M. Karamouz, R. Kerachian, M. Akhbari, B. Hafez, Design of river water quality monitoring networks: a case study, Environmental Modeling & Assessment, 14(6) (2009) 705.
[15] L.C. Brown, T.O. Barnwell, The enhanced stream water quality models QUAL2E and QUAL2E-UNCAS: documentation and user manual, US Environmental Protection Agency. Office of Research and Development. Environmental Research Laboratory, 1987.
[16] S. Chapra, G. Pelletier, H. Tao, Documentation and Users Manual QUAL2K: A Modeling Framework for Simulating River and Stream Water Quality, Version 2.11, Civil and Environmental Engineering Dept., Tufts University, Medford, MA, (2008) 109.
[17] S.C. Chapra, G. Pelletier, H. Tao, QUAL2K: A modeling framework for simulating river and stream water quality: Documentation and users manual, Civil and Environmental Engineering Dept., Tufts University, Medford, MA, (2003).
[18] Vice Presidency for Strategic Planning and Supervision, Guideline for Application of Physical and Mathematical Models in River Engineering, Islamic Republic of Iran, 2012.
[19] United States Environmental Protection Agency (EPA), Technical Guidance Manual for Developing Total Maximum Daily Loads. Book II: Streams and Rivers. Part 1: Biochemical Oxygen Demand/Dissolved Oxygen and Nutrients/Eutrophication, 1995.
[20] WWF – Pakistan through consultation with stakeholders, National Surface Water Classification Criteria and Irrigation Water Quality Guidelines for Pakistan, 2007.
نشریه مهندسی عمران امیرکبیر
دوره 49، شماره 4
اسفند 1396
صفحه 621-634

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