آمار
| تعداد نشریات | 23 |
| تعداد شماره‌ها | 399 |
| تعداد مقالات | 3,153 |
| تعداد مشاهده مقاله | 2,914,186 |
| تعداد دریافت فایل اصل مقاله | 2,023,111 |
Simulation of sediment accumulation for the river watershed using SWAT software: A case study on Ahar Chai river watershed in northwest of Iran | ||
| Journal of Applied Research in Water and Wastewater | ||
| دوره 12، شماره 1 - شماره پیاپی 23، شهریور 2025، صفحه 105-113 اصل مقاله (1.33 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22126/arww.2025.11127.1343 | ||
| نویسندگان | ||
| Anis Shafinezhad1؛ Yousef Hasanzadeh1؛ Sayed Saeed Rasinezami* 2 | ||
| 1Department of Water and Hydraulic Structure, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran. | ||
| 2Department of Civil Engineering, Faculty of Engineering, University of Mohaghegh Ardabili, Ardabil, Iran. | ||
| چکیده | ||
| This paper presents the results of a study that simulates the sediment routing of the Ahar Chai river using the hydrologic model which calculates the accuracy of using the soil and water assessment tool (SWAT) to simulate the runoff and sediment in watershed areas that could help to predict the amount of sediment in the future. Therefore, in this paper, sediment production in the upper Ahar Chai watershed, located in East Azarbaijan province - Ahar city, was simulated by using the hydrological model of SWAT, which is an addition to the Arc-GIS environment. The model's effectiveness in this area's hydrological simulation was assessed. sequential uncertainty fitting-2 (sufi-2), a SWAT-CUP sub-module computer program was applied to optimize the parameters of SWAT using monthly observed runoff and sediment data at the Ahar Chai watershed for calibration, validation, and uncertainty analysis. In the climatological studies, data from the Ahar synoptic station were used from 1994 to 2015. The Ahar Chai basin model was used from 1994 to 2015 for precipitation data. The monthly average discharge and sediment data were also used from the Orang hydrometric and sedimentation station in the period 2000-2015. The observed statistical data of flow and sediment measured for 22 years were selected for model simulation. The determination coefficient (R2) and the Nash-Sutcliffe coefficient (NS) in the calibration stage for sedimentation were 0.81 and 0.66 respectively, and also in the validation stage, were 0.74 and 0.71. The results highlight the model’s potential for simulating sediment yield and streamflow under varying climatic and land use conditions, with performance metrics comparable to those found in similar global studies. However, this study also provides unique insights into the regional-specific challenges of applying SWAT in regions with high variability in precipitation, land use, and topography. Notably, the influence of vegetation covers on sediment yield, as well as the importance of high-quality, region-specific data for model calibration, are key findings. This research contributes to the broader body of knowledge by offering an in-depth analysis of SWAT’s performance in the Ahar Chai basin, while also addressing the gaps in current modeling efforts related to sediment transport in mountainous, semi-arid environments. The findings pave the way for future advancements in hydrological modeling and watershed management in similar regions, particularly through the integration of more detailed data and enhanced uncertainty analysis methods. | ||
| کلیدواژه‌ها | ||
| Sediment؛ Simulation؛ Calibration؛ SWAT؛ Watershed area | ||
| مراجع | ||
|
Abbaspour, K.C. et al. (2007) ‘Modelling hydrology and water quality in the pre‑alpine/alpine Thur watershed using SWAT’, Journal of Hydrology, 333(2–4), pp. 413–430. doi: https://doi.org/10.1016/j.jhydrol.2006.09.014
Abedini, M. and Tulabi, S. (2018) ‘Assessing LNRF, FR, and AHP models in landslide susceptibility mapping index: a comparative study of Nojian watershed in Lorestan province, Iran’, Environmental Earth Sciences, 77, pp. 1–13. doi: https://doi.org/10.1007/s12665-018-7524-1
Afrashteh, M. and Lashkar‑Ara, B. (2025) ‘Investigation of the effect of aspect ratio of shallow reservoirs on distribution of suspended sediment concentration’, Irrigation Sciences and Engineering, 48(1), pp. 81–92. doi: https://doi.org/10.22055/jise.2025.44838.2094
Akbari Nodehi, D. and Karimi, V. (2024) ‘The effect of land use change on runoff using the SWAT model in the Tajan watershed’, Journal of Watershed Management Research, 15(2), pp. 77–88. doi: https://doi.org/10.61186/jwmr.15.2.77
Akoko, G. et al. (2021) ‘A review of SWAT model application in Africa’, Water, 13(9), p. 1313. doi: https://doi.org/10.3390/w13091313
Anyanwu, E. et al. (2022) ‘An appraisal of the physicochemical parameters of Ikwu River, Umuahia, Abia State in South‑eastern, Nigeria for multiple uses’, International Journal of Energy and Water Resources, 6(1), pp. 1–8. doi: https://doi.org/10.1007/s42108-021-00168-8
Anyanwu, E.D. et al. (2024) ‘Spatio‑temporal variations and pollution status of heavy metals in Ahi River, Ohiya, Umuahia, Nigeria’, Journal of Applied Research in Water and Wastewater, 11(1), pp. 1–7. doi: https://doi.org/10.22126/arww.2024.10382.1324
Arnold, J.G. et al. (1998) ‘Large area hydrologic modeling and assessment part I: model development 1’, Journal of the American Water Resources Association, 34(1), pp. 73–89. doi: https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
Aryaei, H. and Lashkar-Ara, B. (2023) ‘Evaluation of bottom outlet effect on the behavior of entered turbidity current into the Dez Dam Reservoir’, Advanced Technologies in Water Efficiency, 3(3), pp. 20–36. doi: https://doi.org/10.22126/atwe.2023.9641.1061
Aureli, F., et al. (2021) ‘Hydrological and hydraulic flood hazard modeling in poorly gauged catchments: An analysis in Northern Italy’, Hydrology, 8(4), p. 149. doi: https://doi.org/10.3390/hydrology8040149
Bergström, S. (1992) The HBV model – its structure and applications. SMHI Reports RH No. 4, Swedish Meteorological and Hydrological Institute, Norrköping. Available at: : https://www.smhi.se/download/18.38e7941719209b36a1fb2c4/1728367395288/RH_4.pdf (Accessed date: 12 December 2024).
Bhatta, B. et al. (2019) ‘Evaluation and application of a SWAT model to assess the climate change impact on the hydrology of the Himalayan River Basin’, Catena, 181, p. 104082. doi: https://doi.org/10.1016/j.catena.2019.104082
Bicknell, B.R. et al. (1997) Hydrological simulation program—FORTRAN User’s Manual for Version 11. Athens, GA: U.S. Environmental Protection Agency, EPA/600/R-97/080, pp. 1–775. Available at: https://p2infohouse.org/ref/07/06417.pdf (Accessed date: 9 December 2024).
Chen, Q. et al. (2019) ‘Impacts of climate change and land-use change on hydrological extremes in the Jinsha River Basin’, Water, 11(7), p. 1398. doi: https://doi.org/10.3390/w11071398
Chu, T. and Shirmohammadi, A. (2004) ‘Evaluation of the SWAT model’s hydrology component in the piedmont physiographic region of Maryland’, Transactions of the ASAE, 47(4), pp. 1057–1073. doi: https://doi.org/10.13031/2013.17717
Đukić, V. and Erić, R. (2021) ‘SHETRAN and HEC HMS model evaluation for runoff and soil moisture simulation in the Jičinka River catchment (Czech Republic)’, Water, 13(6), p. 872. doi: https://doi.org/10.3390/w13060872
Faramarzi, M. et al. (2009) ‘Modelling blue and green water resources availability in Iran’, Hydrological Processes: An International Journal, 23(3), pp. 486–501. doi: https://doi.org/10.1002/hyp.7157
Flores, N. et al. (2021) ‘Comparison of three daily rainfall-runoff hydrological models using four evapotranspiration models in four small forested watersheds with different land cover in South-Central Chile’, Water, 13(22), p. 3191. doi: https://doi.org/10.3390/w13223191
Gassman, P.W. et al. (2007) ‘The Soil and Water Assessment Tool: Historical development, applications, and future research directions’, Transactions of the ASABE, 50(4), pp. 1211–1250. doi: https://doi.org/10.13031/2013.23637
Gunathilake, M.B. et al. (2020a) ‘Statistical evaluation and hydrologic simulation capacity of different satellite-based precipitation products (SbPPs) in the Upper Nan River Basin, Northern Thailand’, Journal of Hydrology: Regional Studies, 32, p. 100743. doi: https://doi.org/10.1016/j.ejrh.2020.100743
Gunathilake, M.B. et al. (2020b) ‘Application of a HEC-HMS model on event-based simulations in a tropical watershed’, Engineering and Applied Science Research, 47(4), pp. 349–360. doi: https://ph01.tci-thaijo.org/index.php/easr/article/view/240503
Hanif, A. et al. (2020) ‘Flood risk assessment methodology for planning under climate change scenarios and the corresponding change in land cover’, Journal of Water and Climate Change, 11(4), pp. 1370–1382. doi: https://doi.org/10.2166/wcc.2019.215
Krause, P., Boyle, D.P. and Bäse, F. (2005) ‘Comparison of different efficiency criteria for hydrological model assessment’, Advances in Geosciences, 5, pp. 89–97. doi: https://doi.org/10.5194/adgeo-5-89-2005
Lashkar-Ara, B. and Kiani, F. (2025) ‘Evaluating optimal relationships for estimating suspended sediment discharge in the Balaroud river’, Irrigation Sciences and Engineering, 47(4), pp. 81–92. doi: https://doi.org/10.22055/jise.2025.48205.2139
Marahatta, S., Devkota, L.P. and Aryal, D. (2021) ‘Application of SWAT in hydrological simulation of complex mountainous river basin (part I: model development)’, Water, 13(11), p. 1546. doi: https://doi.org/10.3390/w13111546
Mvandaba, V. et al. (2018) ‘The delineation of alluvial aquifers towards a better understanding of channel transmission losses in the Limpopo River Basin’, Physics and Chemistry of the Earth, Parts A/B/C, 108, pp. 60–73. doi: https://doi.org/10.1016/j.pce.2018.01.003
Neitch, S.L. et al. (2005) Soil and water assessment tool: Theoretical documentation, Version 2005. Temple, Texas: Grassland, Soil and Water Research Laboratory, Agricultural Research Service. Available at: https://swat.tamu.edu/media/1292/swat2005theory.pdf (Accessed date: 20 December 2024).
Odero, J.O. et al. (2023) ‘Changes in water quality parameters along Thika river sub‑catchment, Upper Tana, Kenya’, Journal of Applied Research in Water and Wastewater, 10(1), pp. 48–55. doi: https://doi.org/10.22126/arww.2023.9078.1288
Papakonstantis, I.G. et al. (2011) ‘Inclined negatively buoyant jets 2: concentration measurements’, Journal of Hydraulic Research, 49(1), pp. 13–22. doi: https://doi.org/10.1080/00221686.2010.542617
Peng, H. et al. (2015) ‘An eco‑hydrological model‑based assessment of the impacts of soil and water conservation management in the Jinghe River Basin, China’, Water, 7(11), pp. 6301–6320. doi: https://doi.org/10.3390/w7116301
Pignotti, G. et al. (2017) ‘Comparative analysis of HRU and grid‑based SWAT models’, Water, 9(4), p. 272. doi: https://doi.org/10.3390/w9040272
Rasi Nezami, S. and Aghlmand, R. (2023) ‘Assessing the suitability of river water quality using water quality indices: a case study on Balikhlou river in northwest of Iran’, Journal of Applied Research in Water and Wastewater, 10(1), pp. 1–6. doi: https://doi.org/10.22126/arww.2022.7574.1239
Tootle, G.A., Piechota, T.C. and Singh, A. (2005) ‘Coupled oceanic–atmospheric variability and US streamflow’, Water Resources Research, 41(12), doi: https://doi.org/10.1029/2005WR004381
Zhou, Y. et al. (2022) ‘Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques’, Journal of Hydrology, 604, p. 127255. doi: https://doi.org/10.1016/j.jhydrol.2021.127255 | ||
|
آمار تعداد مشاهده مقاله: 111 تعداد دریافت فایل اصل مقاله: 94 |
||