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کد مقاله : JEST-1705-3576 (R2) بازدید : 178 صفحه: 147 - 159

10.22034/jest.2020.26325.3576

نوع مقاله: پژوهشی

شبیه سازی هیدرولوژیکی حوضه آبخیز طالقان با استفاده از مدل SWAT

محورهای موضوعی : محیط زیست حوزه های آبخیز رودخانه ها

مهسا آقاخانی 1 , تورج نصرآبادی 2 , علیرضا وفائی نژاد 3

1 - دکترای مدیریت محیط زیست، دانشکده محیط زیست و انرژی، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران
2 - دانشیار، گروه برنامه‌ریزی، مدیریت و آموزش محیط زیست، دانشکده محیط زیست، پردیس دانشکده های فنی دانشگاه تهران، تهران، ایران، *(مسوول مکاتبات)
3 - استادیار، گروه سنجش از دور و سیستم اطلاعات جغرافیایی، دانشکده محیط زیست و انرژی، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران

تاریخ دریافت : 1396/02/15 تاریخ پذیرش : 1396/06/25 تاریخ انتشار : 1398/09/01

کلید واژه: الگوریتم SUFI-2, مدل‌سازی هیدرولوژیک, حوضه آبخیز, مدل SWAT,

چکیده مقاله :

زمینه و هدف: مدل سازی هیدرولوژیکی حوضه های آبخیز نقش مهی در مطالعه، توسعه و مدیریـت منابع آب دارد. با توجه به اهمـیـت حوضه آبخیز طالقان به عنوان تامین کننده بخش مهمی از منابع آب استان های البرز و تهران، در این پژوهش، شبیه سازی هیدرولوژیک آب های سطحی در این حوضه مورد مطالعه قرار گرفته است. روش بررسی: شبیه سازی هیدرولوژیکی با به کارگیری مدل نیمه توزیعی فیزیکی SWAT (Soil and Water Assessment Tool) انجام گرفت. هم چنین واسنجی و آنالیز حساسیت مدل با استفاده از الگوریتم SUFI-2 صورت پذیرفت. کارایی مدل با استفاده از شاخص های آماری نش- ساتکلیف (NS) و ضریب تعیین (R2) مورد ارزیابی قرار گرفت. یافته ها: آنالیز حساسیت نشان داد که مدل نسبت به پارامترهای شماره منحنی (CN)، ضریب تبخیرخاک و ظرفیت آب قابل دسترس خاک دارای بیش ترین حساسیت می باشد. ضرایب NS و R2 در ایستگاه گلینک (خروجی حوضه) پس از کالیبراسیون به ترتیب برابر 84/0 و 87/0 و در صحت سنجی برابر 79/0 و 84/0 برآورد گردید. بحث و نتیجه گیری: نتـایج نشان دهنده دقت مناسـب شـبیه سازی حوضـه آبخیز مورد مطالعـه دارد. هم چنین نشـان داده شد که مدل قابلیت بالایی برای پیش بینی میزان رواناب ماهانه حوضه طالقان دارد. به کارگیری این مدل به دلیل کاهش هزینة عملیات میدانی بـه منظور اندازه گیری مولفه های مورد نیاز و به ویژه به دلیل کاهش زمان مورد نیاز برای تحلیل مسایل، جهت ارتقای سطح مدیریت منابع آب و حفظ محیط زیست کارآمد می باشد.

چکیده انگلیسی:

Background and Objective: Hydrological modeling of watersheds plays a significant role in study, development and management of water resources. Based on importance of Taleqan Watershed as a main supplier of Alborz and Tehran Provinces water resources, in this study, surface water hydrological simulations in this basin are investigated. Method: Hydrological simulations were performed by applying physical semi-distributed SWAT (Soil and Water Assessment Tool) model. Moreover, model calibration and sensitivity analysis were done using SUFI-2 algorithm. Model performance is evaluated by means of statistical indicators such as Nash-Sutcliffe (NS) and coefficient of determination (R2). Findings: Sensitivity analysis showed that the parameters of the curve number (CN), soil evaporation compensation, and soil available water capacity are the most important factors to control the flow in the basin. At Gelinak station (watershed outlet), NS and R2 coefficients values after calibration are 0.84 and 0.87, respectively. These values in validation interval were obtained as 0.79 and 0.84. Discussion and Conclusion: The results show good performance of the watershed simulations. Moreover, it was shown that the model has good capability for monthly surface runoff prediction of the Taleqan basin. Due to reducing field operations costs of required components measurements and especially due to reducing the time required to analyze issues, applying this model is efficient for improving water resource management and environmental protection.  

منابع و مأخذ:


  1. Khalighi Sigarudi, Sh.,ZinatiShoae, T.,Salajeghe, A.,Kohandel , A., Mortezaei Gh., 2009.Simulating runoff using semi-distributed method in watershed with limited data, case study: Latian watershed. Proceedings of 5th National Conference of Watershed Management Sciences and Engineering (Sustainable Management of Natural Hazard), Gorgan University of Agricultural Sciences and Natural Resources, pp. 180-188.
    2.
  2. Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Williams J.R. & King, K.W., 2011. Soil and water assessment tool theoretical documentation—version 2009, Soil and Water Research Laboratory, Agricultural Research Service, Blackland Research Center-Texas AgriLife Research.
    3.
  3. Pisinaras, V., Petalas, C., Gikas, G.D., Gemitzi, A., Tsihrintzis, V.A., 2010. Hydrological and water quality modeling in a medium-sized basin using the soil and water assessment tool (SWAT). Desalination, vol. 250, pp. 274-286.
    4.
  4. Alansi, A.W., Amin, M.S.M., Abdul Halim, G., Sharif, H.Z.M., Aimrun, W., 2009. Validation of SWAT Model for stream flow simulation and forcasting in upper Bernam humid tropical river basin, Malaysia. Hydrology and Earth System Sciences, Discuss,Vol. 6, pp. 7581-7609.
    5.
  5. Fadil, A., Rhinane, H., Kaoukaya, A., Kharchaf, Y., Bachir O., 2011. Hydrologic Modeling of the Bouregreg Watershed (Morocco) Using GIS and SWAT Model. Journal of Geographic Information System, Vol. 4, pp. 279-289.
    6.
  6. Ghoraba, S.M., 2015. Hydrological modeling of the Simly Dam watershed using GIS and SWAT model. Alexandria Engineering Journal. Vol. 54, No. 3, pp. 583–594.
    7.
  7. Akhavan, S., Abedi-Koupai, J., Mousavi, S.F., Afyuni, M., Eslamian, S.S., Abbaspour, K.C., 2010. Appication of SWAT model to investigate nitrate leaching in Hamadan-Bahar watershed, Iran. Agriculture, Ecosystemes and Environment, Vol. 139, pp. 675-688.
    8.
  8. Park, J.Y., Ale, S., Teague, W.R., 2017. Simulated water quality effects of alternate grazing management practices at the ranch and watershed scales. Ecological Modelling, Vol. 360, No. 24, pp. 1-13.
    9.
  9. Kundu, S., Khare, D., Mondal, A., 2017. Past, present and future land use changes and their impact on water balance. Journal of Environmental Management, Vol.197, pp. 582-596.
    10.
  10. Rostami Kolour, M., Dahrazma, B., Rahimi, M., 2015. Water quality assessment of Taleghan river using NSFWQI index. First National Conference on New Developments in Biological and Agricultural Sciences, Tehran, Iran. (Persian)
    11.
  11. Santos, R.M., Sanches Fernandes, L.F., Moura, J.P., Pereira, M.G., Pacheco, F.A.L., 2014. The impact of climate change, human interference, scale and modeling uncertainties on the estimation of aquifer properties and river flow components. Journal of Hydrology, Vol. 519, pp. 1297-1314.
    12.
  12. Rahman, K., Maringantic, H., Beniston, M., Widmer, F., Abbaspour, K., Lehmann, A., 2013. Streamflow modeling in a highly managed mountainous glacier watershed using SWAT: The Upper Rhone River watershed case in Switzerland. Water Resources Management, Vol. 27, No. 2, pp. 323-339.
    13.
  13. Di Luzio, M., Srinivasan, R., Arnold, J.G., 2002. Integration of watershed tools and SWAT model into basins. Journal of the American Water Resources Association, Vol. 38, No. 4, pp.1127-1141.
    14.
  14. Arnold, J.G., Srinivasan, R., Muttiah, R.S., Williams, J.R., 2000. Large-area hydrologic modeling and assessment: Part I. Model development. Journal of American Water Resources Association, Vol. 34, No. 1, pp.73-89.
    15.
  15. Santhi, C., Arnold, J.G., Williams, J.R., Dugas, W.A., Srinivasan, R., Hauck, L.M., 2001. Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of American Water Resources Association, Vol. 37, No. 5, pp.1169–1188.
    16.
  16. Abbaspour, K.C., 2008. SWAT-CUP2: SWAT calibration and uncertainty programs—a user manual. Department of Systems Analysis, Swiss Federal Institute of Aquatic Science and Technology.
    17.

 
 



 

_||_

  1. Khalighi Sigarudi, Sh.,ZinatiShoae, T.,Salajeghe, A.,Kohandel , A., Mortezaei Gh., 2009.Simulating runoff using semi-distributed method in watershed with limited data, case study: Latian watershed. Proceedings of 5th National Conference of Watershed Management Sciences and Engineering (Sustainable Management of Natural Hazard), Gorgan University of Agricultural Sciences and Natural Resources, pp. 180-188.
    2.
  2. Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Williams J.R. & King, K.W., 2011. Soil and water assessment tool theoretical documentation—version 2009, Soil and Water Research Laboratory, Agricultural Research Service, Blackland Research Center-Texas AgriLife Research.
    3.
  3. Pisinaras, V., Petalas, C., Gikas, G.D., Gemitzi, A., Tsihrintzis, V.A., 2010. Hydrological and water quality modeling in a medium-sized basin using the soil and water assessment tool (SWAT). Desalination, vol. 250, pp. 274-286.
    4.
  4. Alansi, A.W., Amin, M.S.M., Abdul Halim, G., Sharif, H.Z.M., Aimrun, W., 2009. Validation of SWAT Model for stream flow simulation and forcasting in upper Bernam humid tropical river basin, Malaysia. Hydrology and Earth System Sciences, Discuss,Vol. 6, pp. 7581-7609.
    5.
  5. Fadil, A., Rhinane, H., Kaoukaya, A., Kharchaf, Y., Bachir O., 2011. Hydrologic Modeling of the Bouregreg Watershed (Morocco) Using GIS and SWAT Model. Journal of Geographic Information System, Vol. 4, pp. 279-289.
    6.
  6. Ghoraba, S.M., 2015. Hydrological modeling of the Simly Dam watershed using GIS and SWAT model. Alexandria Engineering Journal. Vol. 54, No. 3, pp. 583–594.
    7.
  7. Akhavan, S., Abedi-Koupai, J., Mousavi, S.F., Afyuni, M., Eslamian, S.S., Abbaspour, K.C., 2010. Appication of SWAT model to investigate nitrate leaching in Hamadan-Bahar watershed, Iran. Agriculture, Ecosystemes and Environment, Vol. 139, pp. 675-688.
    8.
  8. Park, J.Y., Ale, S., Teague, W.R., 2017. Simulated water quality effects of alternate grazing management practices at the ranch and watershed scales. Ecological Modelling, Vol. 360, No. 24, pp. 1-13.
    9.
  9. Kundu, S., Khare, D., Mondal, A., 2017. Past, present and future land use changes and their impact on water balance. Journal of Environmental Management, Vol.197, pp. 582-596.
    10.
  10. Rostami Kolour, M., Dahrazma, B., Rahimi, M., 2015. Water quality assessment of Taleghan river using NSFWQI index. First National Conference on New Developments in Biological and Agricultural Sciences, Tehran, Iran. (Persian)
    11.
  11. Santos, R.M., Sanches Fernandes, L.F., Moura, J.P., Pereira, M.G., Pacheco, F.A.L., 2014. The impact of climate change, human interference, scale and modeling uncertainties on the estimation of aquifer properties and river flow components. Journal of Hydrology, Vol. 519, pp. 1297-1314.
    12.
  12. Rahman, K., Maringantic, H., Beniston, M., Widmer, F., Abbaspour, K., Lehmann, A., 2013. Streamflow modeling in a highly managed mountainous glacier watershed using SWAT: The Upper Rhone River watershed case in Switzerland. Water Resources Management, Vol. 27, No. 2, pp. 323-339.
    13.
  13. Di Luzio, M., Srinivasan, R., Arnold, J.G., 2002. Integration of watershed tools and SWAT model into basins. Journal of the American Water Resources Association, Vol. 38, No. 4, pp.1127-1141.
    14.
  14. Arnold, J.G., Srinivasan, R., Muttiah, R.S., Williams, J.R., 2000. Large-area hydrologic modeling and assessment: Part I. Model development. Journal of American Water Resources Association, Vol. 34, No. 1, pp.73-89.
    15.
  15. Santhi, C., Arnold, J.G., Williams, J.R., Dugas, W.A., Srinivasan, R., Hauck, L.M., 2001. Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of American Water Resources Association, Vol. 37, No. 5, pp.1169–1188.
    16.
  16. Abbaspour, K.C., 2008. SWAT-CUP2: SWAT calibration and uncertainty programs—a user manual. Department of Systems Analysis, Swiss Federal Institute of Aquatic Science and Technology.
    17.

 
 



 

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