شبیه‌سازی آلودگی در رودخانه‌های پر شیب کوهستانی با استفاده از مدل QUAL2KW.

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش آموخته کارشناسی‌ارشد مهندسی منابع آب، گروه مهندسی آب، دانشگاه بوعلی سینا.

2 استاد، گروه مهندسی آب و رییس پژوهشکده آب دانشگاه بوعلی سینا

3 دانشیار، گروه مهندسی آب، دانشگاه رازی.

چکیده

در این مطالعه پارامترهای اکسیژن محلول، اکسیژن‌خواهی بیوشیمیایی و شیمیایی رودخانه عباس‌آباد همدان با استفاده از مدل QUAL2KW در فصل‌های بهار (تر) و تابستان (خشک) بررسی گردید. پس از آنالیز حساسیت مدل، داده‌های اردیبهشت، خرداد و مردادماه سال‌های 1390 و 1391 برای واسنجی و داده‌های مشابه 1394 برای صحت­سنجی استفاده گردید. دقت مدل از طریق محاسبه شاخص‌های آماری ضریب تعیین، خطای استاندارد و ریشه میانگین مربعات خطای نرمال بررسی شد. خطای استاندارد اکسیژن محلول، اکسیژن‌خواهی بیوشیمیایی و شیمیایی در مرحله واسنجی، به‌ترتیب در محدوده 038/0 تا 092/0، 058/0 تا 180/0 و 075/0 تا 156/0، در مرحله صحت‌سنجی به‌ترتیب در محدوده 007/0 تا 040/0، 225/0 تا 385/0، 166/0 تا 216/0 محاسبه شد. نتایج نشان داد روند تغییرات اکسیژن محلول در فصول تر و خشک تقریباً یکنواخت و خطی بوده که ناشی از شیب زیاد و هوادهی بالای رودخانه است. همچنین تغییرات اکسیژن‌خواهی بیوشیمیایی و شیمیایی نسبتاً مشابه و دارای روند افزایشی است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Simulation of Pollution in the Steep Mountainous Rivers, using QUAL2KW.

نویسندگان [English]

  • Ali Vanaei 1
  • Safar Marofi 2
  • Arash Azari 3
1 M. Sc. Graduate of Water Resources, Department of Water Engineering, Bu-Ali Sina University in Hamedan.
2 Professor, Department of Water Engineering, Bu-Ali Sina University in Hamedan
3 Associate Professor, Department of Water Engineering, Razi University.
چکیده [English]

In general, the entry of sewage into rivers and the decomposition into river water has led to a reduction in water quality and, in particular, a decrease in DO concentration (Sarda and Sadgir 2015). To have the optimal water quality characteristic, river reception capacity should remain within acceptable limits along the river. Using management tools, including water quality simulation models, can be very beneficial in this context. QUAL2KW is one of the best tools to simulate water quality due to its flexibility, ease of use, and availability. Studies with the QUAL2KW model for simulating water quality in rivers and basins using parameters BOD (Fang et al. 2008), Nitrogen, Phosphorus, and COD (Grabiç et al., 2011) have been carried out. This study aims to provide a model for simulating water quality parameters in rivers with steep slopes and short paths. Therefore, the analysis of BOD, DO, and COD qualitative parameters and awareness of the Abbas-Abad River's location and time trends (seasonal) in Hamadan during dry and wet seasons were considered.

کلیدواژه‌ها [English]

  • DO
  • BOD
  • COD
  • Self-purification capacity
  • Abbas-Abad of Hamedan
  • Water quality

مراجع

  • Anonymous., 2005. Semi-detailed water resources information of Hamadan plain - spring. Hydrology Report, Ministry of Energy, Hamadan Regional Water Company. (In Persion).

 

  • Bustani, F. and Guharani. A., 2014. Water quality simulation of Bashar River area in Yasuj city using QUAL2K simulation. Journal of Water Resources Engineering, 7 (23) , pp. 85-98. (In Persion).

 

  • Campolo, M., Andreussi, P. and Soldati, A., Water quality control in the river Arno. Water research, 36(10) , pp. 2673-2680.

 

  • Cox, B. A., A review of currently available in-stream water-quality models and their applicability for simulating dissolved oxygen in lowland rivers. Science of the Total Environment, 314, pp. 335-377.

 

  • Fan, C., Ko, C. H. and Wang, W. S., 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), pp. 1824-1832.

 

  • Fang, X., Zhang, J., Chen, Y. and Xu, X., QUAL2K model used in the water quality assessment of Qiantang River, China. Water Environment Research, 80(11), pp. 2125-2133.

 

  • Grabic, J., Bezdan, A., Benka, P. and Salvai, A., Spreading and transformation of Nutrients in the reach of the Becej-Bogojevo Canal, Serbia. Carpathian. Journal of Earth and Environmental Sciences, 6(1), pp. 277-284.

 

  • Hayes, D.F., Labadie, J.W., Sanders, T.G. and Brown, J.K., Enhancing water quality in hydropower system operations. Water Resources Research, 34(3), pp. 471-483.

 

  • Herbay, J.P., Smeers, Y. and Tyteca, D., Water quality management with time varying river flow and discharger control. Water Resources Research, 19(6), pp. 1481-1487.

 

  • Hossain, M.A., Sujaul, I.M. and Nasly, M.A., 2014. Application of QUAL2KW for water quality modeling in the Tunggak River, Kuantan, Pahang, Malaysia. Journal of Recent Sciences, 3(6), pp. 6-14.

 

  • Kalburgi, P.B., Shareefa, R.N. and Deshannavar, U.B., Development and evaluation of BOD–DO model for River Ghataprabha near Mudhol (India), using QUAL2K. Engineering and Manufacturing, 1, pp. 15-25.

 

  • Lindenschmidt, K.E., The effect of complexity on parameter sensitivity and model uncertainty in river water quality modelling. Ecological Modelling, 190(1-2), pp. 72-86.

 

  • Mahamah, D.S., Simplifying assumptions in water quality modeling. Ecological Modelling, 109(3) , pp. 295-300.

 

  • Marzouni, M.B., Akhoundalib, A.M., Moazed, H., Jaafarzadeh, N., Ahadian, J. and Hasoonizadeh, H., Evaluation of Karun river water quality scenarios using simulation model results. International Journal of Advanced Biological and Biomedical Research, 2(2) , pp. 339-358.

 

  • Noshadi, M. and Hatamizadeh, MR., 2010. Measurement and qualitative simulation of the Kor River using QUAL2K model. Journal of Irrigation and Drainage, 4 (3), pp. 338-349. (In Persion).

 

  • Oliveira, B., Bola, J., Quinteiro, P., Nadais, H. and Arroja, L. 2012. Application of QUAL2KW model as a tool for water quality management: Cértima River as a case study. Environmental Monitoring and Assessment, 184(10) , pp. 6197-6210.

 

  • Ouyang, Y., Nkedi-Kizza, P., Wu, Q.T., Shinde, D. and Huang, C.H., 2006. Assessment of seasonal variations in surface water quality. Water Research, 40(20), pp. 3800-3810.

 

  • Parmar, D. L. and Keshari, A. K., Sensitivity analysis of water quality for Delhi stretch of the River Yamuna, India. Environmental Monitoring and Assessment, 184(3) , pp. 1487-1508.

 

  • Rafiee, M., Akhond Ali, A.M., Moazed, H., Lyon, S.W., Jaafarzadeh, N., & Zahraie, B. 2014. A case study of water quality modeling of the Gargar river, Iran. Journal of Hydraulic Structures, 1(2), 10-22.

 

  • Razaghian, F., Sabzipour, B. and. Sarang, A., 2015. Qualitative modeling of Gharasoo river in Kermanshah city with QUAL2KW model. 10th International Congress of Civil Engineering, Tabriz, Tabriz University Faculty of Civil Engineering. (In Persion).

 

  • David L. 1996. Applied River Morphology. Wildland Hydrology Books, Pagosa Springs, Colorado, p 6-42. SAS Institute, 1989. GLM Procedures, SAS Users Guide, Cary, North Carolina.

 

  • Sarda, P. and Sadgir, P., 2015. Water quality modeling and management of surface water using soft t International Journal of Science, Engineering and Technology Research (IJSETR), 4(9) , pp. 2988-2992.
  • Shahriari, F., Javadifar, N. and Akhundali, AM., 2011. Investigation of flow rate changes on Karun river water quality using QUAL2KW model. 5th National Conference and Specialized Exhibition of Environment, Tehran (In Persion).

 

  • Sharma, D., Kansal, A. and Pelletier, G., Water quality modeling for urban reach of Yamuna river, India (1999–2009), using QUAL2KW. Applied Water Science, 7(3) , pp. 1535-1559.

 

  • Ye, H., Guo, S., Li, F. and Li, G., Water quality evaluation in tidal river reaches of Liaohe River estuary, China using a revised QUAL2K model. Chinese Geographical Science, 23(3) , pp. 301-311.
علوم و مهندسی آبیاری
دوره 45، شماره 1
اردیبهشت 1401
صفحه 19-34

فایل ها

سابقه مقاله

  • تاریخ دریافت: 27 اسفند 1398
  • تاریخ بازنگری: 05 آذر 1399
  • تاریخ پذیرش: 10 آذر 1399
  • تاریخ انتشار: 01 اردیبهشت 1401

هم رسانی

ارجاع به این مقاله

آمار