ارزیابی عملکرد مدل‌های هیدرولوژیکی نیمه‌توزیعی(SWAT) و یکپارچه(SMAR) در برآورد و شبیه‌سازی بارش-رواناب، مطالعه موردی:حوضه‌آبریز اوجان‌چای

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استاد ژئومورفولوژی، دانشگاه تبریز، تبریز، ایران

2 دانش‌آموخته مقطع دکترای ژئومورفولوژی، دانشگاه تبریز، تبریز، ایران

10.22067/geoeh.2024.85638.1436

چکیده

یکی از راهکارهای مهم مدیریت اصولی و صحیح آب و خاک در حوضه‌های آبریز، استفاده از مدل‌های هیدرولوژیکی در شبیه‌سازی فرآیند‌های بارش-رواناب است که تخمین و پیش‌بینی مولفه‌های بیلان آبی از جمله رواناب، تبخیر و تعرق و نفوذ را خصوصا در حوضه‌های فاقد آمار یا دارای آمار ناقص امکان‌پذیر می‌کند. در این پژوهش بیلان آبی حوضه‌آبریز اوجان‌چای در طی دوره 20 ساله (2002- 2021) با استفاده از مدل نیمه‌توزیعیSWAT   و مدل یکپارچه SMAR  شبیه‌سازی شد. در مدل SWAT از الگوریتم SUFI-2 و در مدل SMAR  از بهینه‌ساز الگوریتم ژنتیک، جهت واسنجی (2005 تا 2016) و اعتبار‌سنجی (2017تا 2021) بهره گرفته‌ شد. نتایج شبیه‌سازیSWAT در مرحله واسنجی با توابع هدف ضرایب نش‌ساتکلیف (NSE)،   و RSR به‌ترتیب برابر با 80/0، 81/0 و 45/0 و برای اعتبار‌سنجی به ترتیب‌74/0، 75/0 و 51/ 0 به دست آمد که نشان‌دهنده کارایی بالای مدل در شبیه‌سازی بیلان آبی حوضه‌آبریز است و در روش SMAR ضرایب نش‌ساتکلیف (NSE)،   در واسنجی 60/0 ، 56/0 و در اعتبارسنجی 625/0، 67/0 بدست آمد. هر دوی این روش‌ها در شبیه‌سازی دبی‌های پایه و متوسط  نسبت به دبی‌های حداکثری عملکرد بهتری دارند ولی با این حال تطابق دبی شبیه‌سازی شده با دبی مشاهداتی در مدل SWAT نسبت به SMAR برتری دارد که علت آن درنظر گرفتن تغییرات مکانی در این نوع از مدل‌ها است. لذا با توجه به نتایج خیلی خوب کارایی مدلها، پیشنهاد می‌شود از آن دراقدامات حفاظتی حوضه‌ها و  مدیریت آب و خاک استفاده شود.

کلیدواژه‌ها

موضوعات


Afkhami, M., & Nasiri, F. (2015). Evaluation of the Application Distributed and Lumped Hydrologic Models in Simulation of Mean Daily Flow Discharge in Gharasoo River Basin in Ardebil. Journal of Modares Engineering, 15(5), 31-40. [In Persian] http://mcej.modares.ac.ir/article-16-3875-fa.html
Ahmadi, M., Moeini, A., Ahmadi, H., Motamedvaziri, B., & Zehtabiyan, G. R. (2019). Comparison of the Performance of SWAT, IHECRAS And Artificial Neural Networks Models in Rainfall-Runoff Simulation (Case study: Kan Watershed, Iran). Physics and Chemistry of the Earth, 111, 65-77. https://doi.org/10.1016/j.pce.2019.05.002
 Arekhi, S., Karkaz, S., & Emadodin, S. (2023). Flood Risk Zoning Due to Climate Change Using SWAT Hydrological Model in GIS Environment(Case Study: Gharasoo Watershed, Golestan Province). Journal of Climate Change Research, 4(14), 1-26. [In Persian] https://doi.org/10.30488/CCR.2023.394308.1127
Ayele, G. T., Teshale, E. Z., Yu, B., Rutherfurd, I. D., & Jeong , J. (2017). Streamflow And Sediment Yield Prediction For Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia. Water, 9(10),782. https://doi.org/10.3390/W9100782
Bayati khatibi, M., & Karami, F. (2019a). The Estimation of Uplifting Share on Gully  Erosion  Rates Over Slopes, Case Study: Ojan  Chay, North Estern Slopes of Sahand Mountain. Quantitatve Geomorphological Research, 8(2), 38-51. [In Persian] https://www.geomorphologyjournal.ir/article_98646.html?
Bayati khatibi, M., & Karami, F. (2019b). The Time and Runoff Velocity Estimation on Slopes of Ojan Chay Watershed. Quantitatve Geomorphological Research, 7(4), 1-14. [In Persian] https://dor.isc.ac/dor/20.1001.1.22519424.1398.7.4.1.5
Bayati khatibi, M. (2020).Investigating the Role of Land Use Changes in Hydrological Changes of Surfaces in Mountainous Area, Case Study: Ojan Chay. Hydrogeomorphology,  7(24), 127-144. [In persain] https://doi.org/10.22034/HYD.2020.41198.1540
Busico, G., Colombani, N., Frozi, D., Pellegrini, M., Tazioli, A., & Mastrocicco, M. (2020). Evaluating SWAT Model Performance Actual and Future Runoff Susceptibility in a highly Urbanized Basin. Journal of Environmental Management 266, 110625. https://doi.org/10.1016/j.jenvman.2020.110625
Dastjerdi, F., Azarakhshi, M., & Bashiri, M. (2019). Comparison of Efficiency for Hydrological Models (AWBM & SIHYD) and Neural Network (MLP & RBF) in Rainfall-Runoff Simulation (Case -Study:Bar Aryeh Watershed- Neyshabur). Journal of Watershed Management Science, 13(45), 107-118. [In Persian] https://dor.isc.ac/dor/20.1001.1.20089554.1398.13.45.13.7
Fazeli Thani, A., Motamad Vaziri, B., & Gaderi, K. (2016). A Review of Hydrological Modeling Softwares of Watershed, Introduction & Applications. Paper presented at  the Internatinal Conference on Civil Engineering, Architecture,Urban Management & Envirionment in the Third Millennium, 1-23. [In Persian] https://civilica.com/doc/585782
Ferreira, R. G., Dias, R. L. S., de Siqueira Castro, J., dos Santos, V. J., Calijuri, M. L., & da Silva, D. D. (2021). Performance of hydrological models in fluvial flow simulation. Ecological Informatics66, 101453. https://doi.org/10/1016/j.ecoinf.2021.101453
Golshan, M., Esmali Ouri, A., Shahedi, K., & Jahanshahi, A. (2016). Performance evaluation of SWAT and IHACRES models to simulate runoff in Khorramabad watershed. Water and Soil Science26(2-1), 29-42. https://water-soil.tabrizu.ac.ir/article_5048_en.html?
Guo, B., Zhang, J., Xu, T., Song, Y., Liu, M., & Dai, Z. (2022). Assessment of multiple precipitation interpolation methods and uncertainty analysis of hydrological models in Chaohe River basin, China. Water SA48(3), 324-334. https://doi.org/10.17159/wsa/2022.v48.i3.324-334
Houshmand Kouchi, D., Esmaili, K., Faridhosseini, A., Sanaeinejad, S. H., Khalili, D., & Abbaspour, K. C. (2017). Sensitivity of calibrated parameters and water resource estimates on different objective functions and optimization algorithms. Water9(6), 384. https://doi.org/10.3390/w9060384
Kaffas, K., Hrissanthou, V., Sevastas, S. (2018). Modeling Hydromorphological Processes in a Mountainous Basin Using a Compsite Mathmatical Model and Arc SWAT. Catena, 162, 108-129. https://doi.org/10.1016/j.catena.2017.11.017
Karami, F., Bayatikhatibi, M., & Ganbari, A. (2016).Estimation of Runoff and Sedimment in Ahar Chay By Using The Soil and Water Assessment Model(SWAT). Research Project, Faculty of Geography & Planning, University of Tabriz.
Karami, F., Bayatikhatibi, M., & Ganbari, A. (2017). Investingating the Efficiency of Hydrological and Hydraulic Models in Determining Flood Zones in Ahar Chay. Research Project, Faculty of Geography & Planning, University of Tabriz.
Kazemi Talkouyee, A., Jourgholami, M., Abbaspour, K., & Feghhi, J. (2019). Simulation runoff and sediment yield in a harvested forest (Case study: Zailakirood Basin, northern Iran). Iranian Journal of Forest11(1), 29-41. [In Persian] https://www.ijf-isaforestry.ir/article_89235.html?
Khavarian, H., Aghaie, M., & Mostafazadeh, R. (2020). Predicting the effects of land use changes on the monthly flow using hydrological model and Remote Sensing in the Kouzetopraghi watershed, Ardabil. Hydrogeomorphology7(24), 19-39. [In Persian] https://doi.org/10.22034/HYD.2020.37489.1512
Lin, B., Chen, X., Yao, H., Chen, Y., Liu, M., & Gao, L. (2015). Analyses of  Landuse Change Impacts on Catchment Runoff  Using Different Time Indicators Based on SWAT Model. Ecological Indicators ,58, 55-63. https://doi.org/10.1016/j.ecolind.2015.05.031
Lv, Z., Zuo, J., & Rodriguze, D. (2020). Predicting of Runoff Using an Optimized SWAT-ANN: A Case Study. Journal of Hydrology: Regional Studies, 29, l00688, 1-19. https://doi.org/10.1016/j.ejrh.2020.100688
Mansouri, B., & Pirmoradian, R. (2019). Evaluation and Comparison of Lumped and Semi-Distributed Rainfall-Runoff Models. Journal of Water and Sustainable Development5(2), 81-90. [In Persian] https://doi.org/10.22067/jwsd.v5i2.66081
Memgistu, K. T. (2009). Watershed hydrological Responses to Changes in Land Use and Land Cover and management Practises at Hare Watershed, Ethiopia. Research Institute for Water and Enviroment. https://dspace.ub.uni-siegen.de/handle/ubsi/420
Mohammadi Vand, M. R. (2018). Assessment and Comparison of Hydrological Models with Different Structures in a Single Basin. Master's thesis, Water Resources Engineering, Irrigation and Reclamation Engineering Department, University of Thehran. [In Persian]
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE50(3), 885-900. https://doi.org/10.13031/2013.23153
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., & Williams, J. R. (2005) Soil and Water Assessment Tool Theoretical Documentation,Version 2005. Soil and Water Research Laboratory, Agricultural Research Service, US Department of Agriculture, Temple. https://swat.tamu.edu/media/99192/swat2009-theory.pdf
Parvaz, M., & Shahoei, S. V. (2022). Investigation Using AWBM Model for Monthly Runoff Simulation of Urmia Lake Basin in Kurdistan Province, Sonnate station. Journal of Environmental Science Studies7(3), 5347-5359. [In Persian]  https://doi.org/10.22034/JESS.2022.342020.1783
Ramezani, M. R., Helfer, F., & Yu, B. (2023). Individual and combined impacts of urbanization and climate change on catchment runoff in Southeast Queensland, Australia. Science of The Total Environment861, 160528. https://doi.org/10.1016/j.scitotenv.2022.160528
Rashidi, B., Araghinejad, S., & Ebrahimi, K. (2017). Improving runoff prediction using WAPABA model. Iranian Journal of Soil and Water Research48(1), 87-94. [In Persian] https://doi.org/10.22059/IJWR.2017.61343
Reddy, N. M., Saravanan, S., & Abijith, D. (2023). Streamflow simulation using conceptual and neural network models in the Hemavathi sub-watershed, India. Geosystems and Geoenvironment2(2), 100153. https://doi.org/10.1016/j.geogeo.2022.100153
Rezaei Moghadam, M. H., Hejazi, M. A., & Behbody, A. (2018). Estimation of Runoff Catchment in East Azerbaijan Province:Commparative Application of Calibration Methods and Uncertainty Analysis of SWAT Model. Journal of Geography and Environmental Hazards,  8(3), 59-75. [In Persian] https://doi.org/10.22067/GEO.V813.81998 
Rezaei Moghaddam, M. H., Mokhtari, D., & Shafieimehr, M. (2021). Calibration and validation the SWAT model in the simulation of runoff and sediment in Shahr Chai of Miyaneh. Journal of Geography and Planning25(76), 129-139. [In Persian] https://doi.org/10.22034/gp.2020.40775.2656
Rezazadeh, M. S., Ganjalikhani, M., & Zounemat-Kermani, M. (2015). Comparing the performance of semi-distributed SWAT and lumped HEC-HMS hydrological models in simulating river discharge (Case study: Ab-Bakhsha Watershed). Journal of Ecohydrology2(4), 467-479. [In Persian] https://doi.org/10.22059/IJE.2015.58074
Rezvani, F. S., Ghorbani, K., Salarijazi, M., Rezaei Ghaleh, L., & Yazarloo, B. (2023). Comparative assessment of Sacramento, SMAR, and SimHyd models in long-term daily runoff simulation. Water and Soil Management and Modelling3(1), 279-297. [In Persian] https://doi.org/10.22098/MMWS.2022.11794.1171
Roostaei, S., Ayaseh, F., & Rezayi Moghadam, M. H. (2020). Quasi 2 Dimentional Simulation of Lighvan River Flood Flow With Emphasis On Floodplain Using MIKE 11 Technique. Quantitatve Geomorphological Research, 9(1), 28-41 [In Persian] https://doi.org/10.22034/GMPJ.2020.109532 
Rostami Khalaj, M., Moghadamnia, A. R., Salmani, H., & Sepahvand, A. R. (2016). Compare the Performance of AWBM, SACRAMENTO, SIMHYD, SMAR And Tank. Natural Ecosystems of Iran, 7(2), 47-63. [In Persian]
Saraie, B., Talebi, A., Mazidi, A., & Parvizi, S. (2020). Prioritization of Sardab- Rood WaterShed  From Flooding  Viewpoint using the SWAT Model. Journal of Natural Environmental Hazards, 9(23), 85-98. [In Persian] https://doi.org/10.22111/JNEH.2019.29033.1500
Setegn, S. G., Dargahi, B., Srinivasan, R., & Melessse, A. M. (2010). Modeling of Sediment Yield From Anjeni–Gauged Watershed, Ethiopia Using SWAT Model, JAWAR. Journal of  the American Water Resources Association, 46(3), 514-526. https://doi.org/10.1111/j.17521688.2010.00431.x
Shafiei, M., & Gharari, S. (2018). A Review on Hydrological Modelling Concepts: Part 1 - Introduction of Modelling Process. Journal of Water and Sustainable Development4(2), 95-102. [In Persian] https://doi.org/10.22067/JWSD.V412.62154
Shahoei, S. V., & Porhemmat, J. (2019). Comparison and Assessment of Two Lumped AWBM and Semi-Distributed SWAT Models in Monthly Runoff Simulation of Gharah-Sou River in Kermanashah Province, Iran. Environment and Water Engineering5(1), 71-82. [In Persian] https://doi.org/10.22034/jewe.2019.143387.1275
Shikh Gooderzi, M., Jabbarian Amiri, B., & Azarnivend, H. (2018). Investigating Performance of the  Conceptual Models in River Hydrologic Simulation. Journal of Natural Environment, 71(4), 509-521. [In Persian] https://doi.org/10.22059/JNE.2018.227408.1339
Song, M., Shi, Y., Yao, H., & Zhang, W. (2019). A Comparative Study of Different Hydrological Model and Their Application in Bass River Catchment. Paper presented at the Proceedings of the  7th Annual International Conference on Material Science and Engineering 562 , 1-6. https://doi.org/10.1088/1757-899X/562/1/012116
Zarezade Mehrizi, S. O., Khoorani, A., Bazrafshan, J., & Bazrafshan, O. (2017). Assessing the efficiency of SWAT model for runoff simulation in Gamasiyab basin. Journal of Range and Watershed Managment70(4), 881-893. [In Persian] https://doi.org/10.22059/JRWM.2018.243898.1174
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