نشریه علمی - پژوهشی مرتع و آبخیزداری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانش آموخته گروه آب و خاک، دانشکده کشاورزی، دانشگاه صنعتی شاهرود.

2 استادیار گروه آب و خاک، دانشکده کشاورزی، دانشگاه صنعتی شاهرود

3 دانشیار گروه آب و محیط زیست، دانشکده عمران. دانشگاه صنعتی شاهرود

4 استادیار گروه آب و خاک، دانشکده کشاورزی، دانشگاه صنعتی شاهرود.

چکیده

ارزیابی مخاطرات سیلاب موضوع مهمی است که می‌تواند منجر به کاهش خسارات سیل گردد. مدلسازی بارش-رواناب نقش کلیدی در مدیریت منابع آب و همچنین جلوگیری از مخاطرات سیل بازی می‌کند. اما استفاده از مدل‌های هیدرولوژیکی به منظور شبیه‌سازی رواناب نیازمند واسنجی پارامترهای مختلف می‌باشند. از این رو، در مطالعه حاضر مدل WMS11.0 جهت شبیه‌سازی دبی اوج و حجم سیلاب‌های حوضه بابلرود مورد ارزیابی قرار گرفت. برای واسنجی و اعتبارسنجی مدل به ترتیب از 3 و 2 رخداد بارش استفاده شد. سپس باران طرح منطقه مورد مطالعه، با دوره بازگشت‌های مختلف (2، 5، 10، 25، 50، 100 و 500 ساله) تعیین و سیلاب ناشی از این بارش‌ها شبیه‌سازی گردید. نتایج نشان داد که مدل WMS می تواند با دقت خوبی دبی اوج (با خطای حدود 5 درصد) و حجم سیلاب (با خطای کمتر از 26 درصد) را برآورد کند. اما مدل قادر نبود شکل هیدروگراف را با دقت خیلی خوبی شبیه‌سازی نماید. همچنین مشخص شد که دبی اوج و حجم سیلاب ناشی از بارش‌های طرح 2 تا 500 ساله، به ترتیب بین 50 تا 300 مترمکعب بر ثانیه و 6/6 تا 4/32 میلیون مترمکعب متغیر می‌باشد.

کلیدواژه‌ها

عنوان مقاله [English]

Estimating Floods of Various Return Periods for Babolrood Catchment Using WMS Model

نویسندگان [English]

  • Toktam Imani 1
  • Mahdi Delghandi 2
  • Samad Emamgholizadeh 3
  • Zahra Ganji Noroozi 4

1 Department of Water and Soil, Faculty of Agricultural Engineering, Shahrood University of technology.

2 Department of Water and Soil, Faculty of Agricultural Engineering, Shahrood University of technology

3 Department of Water and Environmental Engineering, Faculty of Civil, Shahrood University of technology.

4 Department of Water and Soil, Faculty of Agricultural Engineering, Shahrood University of technology.

چکیده [English]

Flood hazard assessment is an important topic that can reduce flood-related losses. Rainfall-runoff modeling plays a key role in the management of water resources in addition to protecting from flood hazards. The use of hydrological models to simulate the runoff necessitates the proper calibration of the different parameters. Therefore, In the present study, the Watershed Modeling System (WMS11.0) was evaluated to simulate peak discharge and volume of floods of Babolrood catchment. WMS model calibrated and validated using 3 and 2 rainfall events, respectively. Afterwards, design precipitation (DP) for 2, 5, 10, 25, 50, 100 and 500-year return periods was determined and flood resulting from DPs simulated. The results showed that the WMS model could accurately estimate the peak discharge (the error was about 5%) and the and flood volume (the error was less than 26%). But the model was not able to simulate properly the shape of the hydrograph. It also revealed that peak discharge and flood volume arising from 2 to 500-year return periods of rainfall vary between 50 to 300 m3/s and 6.6 to 32.4 Mm3, respectively.

کلیدواژه‌ها [English]

  • rainfall-runoff
  • design precipitation
  • peak discharge modeling
  • flood hydrograph
[1] Abbaspour, K. C., Johnson, A. and Van Genuchten, M.T. (2004). Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone Journal, 3 (4), 1340–1352.
[2] Ahbari, A., Stour, L., Agoumi, A. and Serhir, N. (2018). Estimation of initial values of the HMS model parameters: application to the basin of Bin El Ouidane (Azilal, Morocco). Journal of Materials and Environmental Sciences, 1(9), 305–317.
[3] Alizadeh, A. (2011). Principles of Applied Hydrology, 29th Edition, University of imam reza.
[4] Almasi, P., Soltani, S., Goodarzi, M. and Modarres, R. (2017). Assessment the Impacts of Climate Change on Surface Runoff in Bazoft Watershed. Journal of Water and Soil Science, 78(20). 39 – 52.
[5] Arvand, S., Delghandi, M., ganji, Z. and Alipour, A. (2020). Evaluation of Storm Water Management Model (SWMM5.0) in simulation of urban runoff (case study: urban catchment of Neyshabur). Irrigation & Water Engineering, 39(10), 68 – 81.
[6] Baginska, B., Milne-Home, W. and Cornish, P. S. (2003). Modelling nutrient transport in Currency Creek, NSW, with Ann-AGNPS and PEST. Environmental Modelling and Software, 8-9(18), 801–808.
[7] Ghahraman, B. and Abkhezr, H. (2004). Duration-Frequency Relationships of Rainfall in Iran. Journal of Science and Technology of Agriculture and Natural Resources, 2(8), 1-14.
[8] Ghobadiyan, R., Jahandideh, K. and Fatahi Chaghabagi, A. (2012). Simulation of the Rainfall-Runoff Process in the Gharasoo Catchment using WMS Model. Journal of Irrigation and Water Engineering, 9(3), 89-98.
[9] Goodarzi, M., Salahi, B. and Hossini, S.A. (2019). Assessment of IHACRES Model in Simulating River Discharge in Urmia Lake Basin. Iranian journal of Watershed Management Science and Engineering, 43(12), 1-10.
[10] Gumindoga, W., Rwasoka, D. T., Nhapi, I. and Dube, T. (2017). Ungauged runoff simulation in Upper Manyame Catchment, Zimbabwe: Appli cation of the HEC-HMS model. Physics and Chemistry of the Earth, Parts A/B/C, 100, 371–382.
[11] Haddeland, I., Clark, D. B., Franssen, W., Ludwig, F., Voß, F., Arnell, N. W., Bertrand, N., Best, M., Folwell, S., Gerten, D., Gomes, S., Gosling, S. N., Hagemann, S., Hanasaki, N., Harding, R., Heinke, J., Kabat, P., Koirala, S., Oki, T., Polcher, J., Stacke, T., Viterbo, P., Weedon, G. P. and Yeh, P. (2011). Multimodel estimate of the global terrestrial water balance: setup and first results. Journal of Hydrometeorology, 12, 869-884.
[12] IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri, R. K. and Meyer, L. A. (eds.)]. IPCC, Geneva, Switzerland. 151 pp.
[13] Kauffeldt, A., Wetterhall, F., Pappenberger, F., Salamon, P. and Thielen, J. (2016). Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level. Environmental Modelling and Software, 75, 68–76.
[14] Marko, K., Elfeki, A., Alamri, N. and Chaabani, A. (2018). Two Dimensional Flood Inundation Modelling in Urban Areas Using WMS, HEC-RAS and GIS (Case Study in Jeddah City, Saudi Arabia. 1st Springer Conference of the Arabian Journal of Geosciences (CAJG-1), 12-15 November,  Sousse, Tunisia 2018, pp.  265–267.
[15] Mattar, M. A. and Alamoud, A. I. (2017). Gene expression programming approach for modeling the hydraulic performance of labyrinth-channel emitters. Computers and Electronics in Agriculture, 142, 450-460.
[16] Moradkhani, H., Sorooshian, S., Gupta, H. V. and Houser, P. (2005). Dual state-parameter estimation of hydrological models using ensemble Kalman filter. Advances in Water Resources, 2 (28), 135–147.
[17] Mousavi, S. J., Abbaspour, K. C., Kamali, B., Amini, M. and Yang, H. (2012). Uncertainty-based automatic calibration of HEC-HMS model using sequential uncertainty fitting approach. Journal of Hydroinformatics, 14(2), 286–309.
[18] Niyazi, B. A., Masoud, M. H., Ahmed, M., Basahi, J. M. and Rashed, M. A. (2020). Runoff assessment and modeling in arid regions by integration of watershed and hydrologic models with GIS techniques. Journal of African Earth Sciences, 172, 103966.
[19] Nouri, F., Behmanesh, j., Mohammad Nejad, B.A. and Rezaei, H. (2012). Evaluation of WMS/HEC-HMS Model in Forecasting of Ghorve Watershed. Journal of Water and Soil Conservation, 4(19), 201-210.
[20] Pani, E.A. and Haragan, D. R. (1981). A comparison of Texas and Illinois Temporal Rainfall Distributions. 4th Conference on Hydrometeorology, American Meteorology Society, Boston, USA, pp. 76-80.
[21] Parisuj, P., Goharnejad, H. and Moazami, S. (2018). Rainfall-Runoff Hydrologic Simulation Using Adjusted Satellite Rainfall Algorithms, a Case Study: Voshmgir Dam Basin. Golestan, Iran. Water Resources Research, 3(14), 174-188.
[22] Rafiei Emam, A., Mishra, B., Kumar, P., Masago, Y. and Fukushi, K. (2016). Impact Assessment of Climate and Land-Use Changes on Flooding Behavior in the Upper Ciliwung River, Jakarta,
[23] Srinivas, R., Singh, A. P. and Deshmukh, A. (2018). Development of a HEC-HMS-based watershed modeling system for identification, allocation, and optimization of reservoirs in a river basin, Environmental Monitoring and Assessment. 190(31), https://doi.org/10.1007/s10661-017-6418-0
[24] Tolson, B.A. and Shoemaker, C. A. (2008). Efficient prediction uncertainty approximation in the calibration of environmental simulation models. Water Resources Research, 44, W04411, doi: 10.1029/2007WR005869.
[25] Youssef, A. M. A., Ibrahem, S. M. M., El Sayed, A. N. and Masoud, M. H. Z. (2020). Assessment and management of water resources in Wadi El-Deeb using geophysical, hydrological and GIS Techniques-Red Sea. Journal of African Earth Sciences, 164, 103777.
[26] Zhang, H. L., Wang, Y. J., Wang, Y. Q., Li, D. X. and Wang, X. K. (2013). The effect of watershed scale on HEC-HMS calibrated parameters: a case study in the Clear Creek watershed in Iowa, US. Hydrology and Earth System Sciences, 17, 2735–2745.