آمار
| تعداد نشریات | 13 |
| تعداد شمارهها | 642 |
| تعداد مقالات | 6,700 |
| تعداد مشاهده مقاله | 9,225,221 |
| تعداد دریافت فایل اصل مقاله | 8,646,291 |
Simulation of the monthly runoff in Neyshabur Watershed considering the maximum monitoring stations in SWAT model | ||
| Environmental Resources Research | ||
| دوره 11، شماره 1، مهر 2023، صفحه 83-96 اصل مقاله (1.51 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22069/ijerr.2023.21581.1408 | ||
| نویسندگان | ||
| Zahra Khanmohammadi1؛ Emad Mahjoobi* 2؛ Saeid Gharechelou3؛ Hamid Abdolabadi4 | ||
| 1M.Sc in Water Resources Management and Engineering, Faculty of Civil Engineering, Shahrood University of Technology, Shahrood, Iran | ||
| 2Assistant Professor, Department of Water and Environmental Engineering, Faculty of Civil Engineering, Shahrood University of Technology, Shahrood, Iran | ||
| 3Assistant Professor, Department of Surveying, Faculty of Civil Engineering, Shahrood University of Technology, Shahrood, Iran | ||
| 4Assistant Professor, Department of Environmental Engineering, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran | ||
| چکیده | ||
| Runoff is a crucial hydrological variable that provides vital information for water resource management and planning. In this study, we used the Soil and Water Assessment Tool (SWAT) to simulate monthly runoff in the Neyshabur watershed, Khorasan Razavi province, for a ten-year period from 2000 to 2009. We considered all available rain gauges, synoptic, and evapotranspiration stations within and around the watershed. We calibrated the model parameters and coefficients using the SUFI2 algorithm in the SWAT-CUP software package. We found that the parameters related to the infiltration process, such as CH_K2, CN2, SOL_AWC, and REVAPMN, had the most significant impact on the runoff. We evaluated the model's performance during the calibration and validation periods using parameters such as P-factor, R-factor, Kling-Gupta efficiency (KGE), Nash-Sutcliffe efficiency (NSE), and coefficient of determination (R2). The simulation results showed good agreement with the observed monthly runoff for both the calibration and validation periods. The NSE and R2 values were 0.84 and 0.87, respectively, at the Zarande Andarab station during the calibration period, and 0.74 and 0.78, respectively, during the validation period. The Hosseinabad Jangal station showed even better performance, with NSE and R2 values of 0.93 and 0.93, respectively, during the calibration period, and 0.90 and 0.90, respectively, during the validation period. Comparing our results with previous studies in the same watershed, we found that utilizing a more comprehensive monitoring network and increasing the statistical period of the study can significantly enhance the model's performance and reduce uncertainties in the calibration and validation stages. | ||
| کلیدواژهها | ||
| Calibration؛ KGE؛ NSE؛ SUFI2؛ SWAT-CUP | ||
| مراجع | ||
|
Abbaspour, K.C., and Srinivasan, R. 2014. SWAT-CUP5.6.2.1: SWAT calibration and uncertainty programs - A user manual. Eawag Swiss Federal Institute of Aquatic Science and Technology.
Abbaspour, K.C., Rouholahnejad, E., Vaghefi, S., Srinivasan, R., Yang, H., and Klove, B. 2015. A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution largescale SWAT model. Journal of Hydrology. 524, 733–752.
Abbaspour, K.C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., and Srinivasan, R. 2007. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology. 333(2-4), 413-430.
Alizadeh, A., Izady, A., Davary, K., Ziaei, A., Akhavan, S., and Hamidi, Z. 2013. Estimation of actual evapotranspiration at regional – annual scale using SWAT. Iranian Journal of Irrigation and Drainage. 7(2), 243-258 (In Persian).
Al-Kakey, O., Al-Mukhtar, M., Berhanu, S., and Dunger, V. 2023. Assessing CFSR climate data for rainfall-runoff modeling over an ungauged basin between Iraq and Iran. Kuwait Journal of Science.
Arnold, J.G., Srinivasan, R., Muttiah, R.S., and Williams, J.R. 1998. Large area hydrologic modeling and assessment part I: model development. Journal of the American Water Resources Association. 34, 73-89.
Goodarzi, M., Zahabiyoun, B., and Massah Bavani, A. 2016. Simulation of rainfall-runoff for Gharesou watershed using SWAT model. Journal of Environmental Science and Technology. 18(3),11-20 (In Persian).
Gupta, H.V., Kling, H., Yilmaz, K.K., and Martinez, G.F. 2009. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. Journal of Hydrology. 377(1-2), 80-91.
Habibi, A., and Goodarzi, M. 2019. Application of semi distributed SWAT model for simulation of runoff in Hablehrud basin. Iranian Journal of Watershed Management Science and Engineering. 12(43), 40-49 (In Persian).
Haixia, W., Qingxue, L., and Yuzhuang, S. 2019. Applicability of runoff simulation in the Zhanghe upstream based on SWAT model. In Sustainable Development of Water Resources and Hydraulic Engineering in China (pp. 317-326). Springer, Cham.
Hantush, M.M., and Kalin, L., 2005. Uncertainty and sensitivity analysis of runoff and sediment yield in a small agricultural watershed with kineros2. Hydrological Sciences Journal. 506, 1151-1172.
Hu, J., Ma, J., Nie, C., Xue, L., Zhang, Y., Ni, F., and Wang, Z. 2020. Attribution Analysis of Runoff change in Min-tuo River Basin based on SWAT model simulations, china. Scientific Reports. 10(1), 2900.
Moazenzadeh, R., Ghahraman, B., Arshad, S., and Davari, K. 2019. Simulation of runoff using SWAT model at annual scale (Case study: Neyshabur watershed). Water and Soil Science. 29(4), 57-70 (In Persian).
Mohammadi, M., Kavian, A., and Gholami, L. 2017. Simulation of discharge and nitrate in Tallar basin using SWAT model. Journal of Watershed Management Research. 8(15), 45-60 (In Persian).
Mokhtari, F., Honarbakhsh, A., Soltani, S., Abdolahi, K. and Pajohesh M. 2020. Evaluating hydrological SWAT model in runoff simulation of Karkheh watershed. Desert Ecosystem Engineering Journal. 9 (27), 47-58 (In Persian).
Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., and Veith, T.L., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE. 50(3), 885-900.
Neitsch, S.L., Williams, J.R., Arnold, J.G., and Kiniry, J.R. 2011. Soil and water assessment tool theoretical documentation version 2009. Texas Water Resources Institute.
Nikolopoulos, E.I., Anagnostou, E.N., and Borga, M. 2013. Using high-resolution satellite rainfall products to simulate a major flash flood event in northern Italy. Journal of Hydrometeorology. 14(1), 171-185.
Orellana-Alvear, J., Célleri, R., Rollenbeck, R., Muñoz, P., Contreras, P., and Bendix, J. 2020. Assessment of Native Radar Reflectivity and Radar Rainfall Estimates for Discharge Forecasting in Mountain Catchments with a Random Forest Model. Remote Sensing. 12(12), 1986.
Shafiei, M., Ansari, H., Davari, K., and Ghahraman, B. 2013. Calibration and uncertainty analysis of a semi-distributed model in a semi-arid region, Case study: Neyshabur watershed. Journal of Water and Soil Science. 17(64), 137-149 (In Persian).
Sun, H., and Cornish, P.S. 2005. Estimating shallow groundwater recharge in the headwaters of the Liverpool Plains using SWAT. Hydrological Processes. 19, 795-807.
Su, Q., Dai, C., Zhang, Z., Zhang, S., Li, R., and Qi, P. 2023. Runoff Simulation and Climate Change Analysis in Hulan River Basin Based on SWAT Model. Water. 15(15), 2845.
Teimoory, M., Khoorani, A., and Bakhtiarikia, M., 2019. Evaluation of remotely sensed precipitation data in runoff simulation for Kalam Basin, Hormozgan using SWAT. Watershed Engineering and Management. 11(3), 562-574 (In Persian).
Vilaysane, B., Takara, K., Luo, P., Akkharath, I., and Duan, W. 2015. Hydrological stream flow modelling for calibration and uncertainty analysis using SWAT model in the Xedone river basin, Lao PDR. Procedia Environmental Sciences. 28, 380-390.
Yuan, F., Zhang, L., Win, K.W.W., Ren, L., Zhao, C., Zhu, Y., Jiang, S., and Liu, Y. 2017. Assessment of GPM and TRMM multi-satellite precipitation products in stream flow simulations in a data-sparse mountainous watershed in Myanmar. Remote Sensing. 9(3), 302. | ||
|
آمار تعداد مشاهده مقاله: 268 تعداد دریافت فایل اصل مقاله: 224 |
||
سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب