ارزیابی مدل هیدرولوژیک SWAT در شبیه‌سازی بیلان آب در حوضه‌های آبریز مناطق نیمه-خشک (مطالعه موردی: حوضه آبریز زاینده‌رود)

نوع مقاله : مقالات پژوهشی

نویسندگان

1 دانشگاه تربیت مدرس، تهران

2 گروه مهندسی آب، دانشکده کشاورزی، دانشگاه صنعتی اصفهان، اصفهان، ایران.

3 دانشگاه صنعتی اصفهان

4 مؤسسه Inter3 برلین آلمان

چکیده

شبیه‌سازی و برآورد مؤلفه‌های بیلان آب از جمله اقدامات مورد نیاز جهت برنامه‌ریزی و مدیریت پایدار منابع آب در سطح حوضه‌های آبریز می‌باشد. مدل SWAT یکی از مدل‌های نیمه توزیعی برای شبیه‌سازی حوضه آبریز است که به نحو مطلوبی از ویژگی‌های فیزیکی حوضه برای محاسبه بیلان آب استفاده می‌کند. در پژوهش حاضر از این مدل جهت شبیه‌سازی بیلان آب درحوضه آبریز زاینده‌رود استفاده شده است. با وجود این که در زمینه استفاده از این مدل در بررسی‌های مربوط به حوضه‌های آبریز مطالعات گسترده‌ای انجام گرفته است ولی به دلیل ناکافی بودن و دقت پایین اطلاعات مکانی از جمله نوع خاک، نوع کاربری اراضی، همچنین پراکندگی و تعداد ایستگاه‌های هواشناسی و هیدرومتری مورد استفاده جهت واسنجی و اجرای مدل، لزوم مطالعات دقیق‌تر در این زمینه به نظر می‌رسد. از این رو، از اطلاعات 27 کلاس کاربری اراضی، 57 کلاس بافت خاک و 27 ایستگاه هواشناسی شامل داده‌های روزانه بارش و دمای حداقل و حداکثر استفاده گردید. همچنین تحلیل حساسیت، واسنجی (2000- 2006) و صحت‌سنجی (2007- 2009) مدل با استفاده از الگوریتم SUFI2 در برنامه SWAT-CUP و با بکارگیری از داده‌های 6 ایستگاه هیدرومتری به صورت ماهانه انجام شد. نتایج حاصل از بکارگیری از این مدل واسنجی شده در حوضه آبریز زاینده‌رود نشان داد که از کل بارش سالانه ورودی به حوضه 98/65 درصد به صورت تبخیر و تعرق از حوضه خارج می‌گردد که دارای بیش‌ترین سهم در میان اجزای بیلان آب می‌باشد. همچنین رواناب سطحی با 15 درصد، جریان آب زیرزمینی با 7/13 درصد، جریان جانبی با 5/1 درصد و تغذیه آبخوان عمیق با 8/0 درصد به‌ترتیب سایر بخش‌های بیلان آب را در این حوضه تشکیل می‌دهند.

کلیدواژه‌ها


عنوان مقاله [English]

Assessment of SWAT Hydrological Model in Catchments' Water Balance Simulation Located in Semi-Arid Regions (Case Study: Zayandeh-Rud River Basin)

نویسندگان [English]

  • MohammadAmin Amini 1
  • Ghazaleh Torkan 1
  • Saeid Eslamian 2
  • Mohammad Javad Zareian 3
  • Ali Asghar Besalatpour 4
1 Tarbiat Modares University, Tehran
2 Department of Water Engineering, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
4 Institut für Ressourcenmanagement, Berlin
چکیده [English]

Introduction: Understanding the concept of water balance is one of the most important prerequisites for sustainable management of water resources in the watersheds. Therefore, the components of water resources in a catchment system should be compared at different time periods, and also the effect of each of them should be identified on varied hydraulic components of the hydrological systems. The SWAT model is an example of a physically based hydrologic model which can be used for large-scale simulating and monitoring of water cycle processes based on the characteristics of the catchment area and its climatic conditions. The main object of this study is the hydrologic simulation and water balance estimation for the period 2000-2009 in the Zayandeh-Rud River Basin.
Materials and Methods: The Zayandeh-Rud River Basin is located in the arid and semi-arid central region of Iran. This area is very variable in terms of rainfall. As well as the state of water resources and water consumption is very complicated in this catchment. In the present study, the soil and water assessment tool (SWAT) used to simulate water balance in the Zayandeh-Rud River Basin. The input required data included digital elevation model, land use map, soil texture map and meteorological information including daily rainfall data and minimum and maximum temperature data were introduced to the model and the model was implemented with these data. The sensitivity of the flow-effective parameters was determined using the p-value and t-state criteria by the SUFI2 algorithm in the SWAT-CUP program. The model was calibrated monthly and validated with the selected parameters in the sensitivity analysis using the Nash-Sutcliff criteria and the coefficient of determination by the application of the data of six stations including. Calibration of the model was conducted for 2000-2006 and validation of the model for the years 2007-2009.
Results and Discussion: The results of sensitivity analysis showed that considering the characteristics of the study area, the SWAT model is more sensitive to the 17 effective parameters on runoff. The selected parameters also confirm the results of previous research carried out in the region. The sensitive parameters selected in the sensitivity analysis step were used to calibrate the model. In the next step, the parameters of SWAT-CUP software were entered. After that, these parameters were repeated 1000 times with the SUFI2 algorithm, and the optimal value for each parameter was determined. The Nash-Sutcliff coefficient and the coefficient of determination in the six hydrometric stations are greater than 0.56 and 0.69 in calibration and verification periods respectively, which indicates that the model has a satisfactory ability to run in runoff simulation. The contribution of the components of the water balance including evapotranspiration, surface runoff, lateral flow, groundwater flow, and deep aquifer recharge was calculated from annual basin precipitation. The amount of extracted water from the hydrological components indicated that the largest share of the water balance was related to actual evapotranspiration, the range of variations in the type of precipitation in the study area ranged from 60.1% (2000) to 92.7 % (2007). After evapotranspiration, surface runoff with a change of 22.2% (2005) to 8.6% (2009) and groundwater flow with a change of 14.2% (2000) to 20.5% (the year 2007) had relatively high fluctuations and a large share in the basin balance. These results indicate that the lateral flow with a range of 3.1 to 1.9% had no significant change in these years. Also, the deep aquifer recharge with the range of 1.2 to1.5% was the lowest in 2003 and 2009, respectively.
Conclusion: The results showed that the calibrated model for the Zayandeh-Rud River Basin had a desirable performance for both calibration and validation periods. Therefore, the SWAT model has acceptable performance for simulating the water balance of the area. In addition, the results of this study showed that 65.98% of the total annual precipitation in the basin is in form of evapotranspiration, which compares to the other water balance components has the highest part. As well as surface runoff with 15%, groundwater flow with 13.7%, lateral flow with 1.5%, and deep aquifer recharge with 0.8% have other parts of the water balance components in Zayandeh-Rud River Basin. The results also indicate that the highest water losses in the soil and groundwater resources of the basin are due to evapotranspiration. Therefore, serious measures to prevent the loss of water through evapotranspiration in the region to be necessary. The results of this research can be used to predict the effects of climate change and the applicable management practices in the region, which are presented in scenarios to the model.

کلیدواژه‌ها [English]

  • Calibration
  • sensitivity analysis
  • SUFI2 Algorithm
  • SWAT-CUP
  • Validation
1- Abbaspour K.C. 2009. SWAT-CUP, SWAT Calibration and uncertainty programs, version 2 (user manual), EAWAG, 105p.
2- Adeogun A.G., Sule B.F., and Salami A.W. 2014. Validation of SWAT model for prediction of water yield and water balance: case study of upstream catchment of Jebba dam in Nigeria. Int. J. Comput. Math. Sci., 8(2):264-270.
3- Faramarzi M., Abbaspour K.C., Schulin R., and Yang H. 2009. Modelling blue and green water resources availability in Iran. Hydrol. Proc. 23(3): 486-501.
4- Faramarzi M., and Besalatpour A.A. 2015. Hydrological modelling of Zayandeh Rud river basin using SWAT model. Isfahan Regional Water Organization, Final Report.
5- George S., and Sathian K.K. 2016. Assessment of water balance of a watershed using SWAT model for water resources management. Int. J. Eng. Sci. Technol. 5(4): 177–184.
6- Ghoraba S.M. 2015. Hydrological modeling of the Simly Dam watershed (Pakistan) using GIS and SWAT model. Alexandria Eng. J. 54(3): 583–594.
7- Gohari A., Eslamian S., Mirchi A., Abedi-Koupaei J., Massah Bavani A., and Madani K. 2013. Water transfer as a solution to water shortage: a fix that can backfire. J. Hydrol. 491(1): 23-39.
8- Golshan M., Kavian A., Rouhani H., and Esmali Ouri A. 2015. Effect of Scale on SWAT Model Performance in Simulation of Runoff (Case Study: Haraz Catchment in Mazandaran Province). Iranian Journal of Soil and Water Research. 46(2):293-303. (In Persian)
9- Hosseini M., Ghafouri M., Makarian Z., and Tabatabaei M. R. 2016. Estimate of the water balance in the basins reaching the Persian Gulf using the Semi-distributed SWAT Model. Journal of Soil and Water Sciences. 78(1): 183-194. (In Persian)
10- Kouhestani S. 2016. Evaluation of effects of climate change on the availability of blue and green water resources in Zayandeh-rud Basin. Ph.D. thesis Water Resources Engineering. College of Agriculture, Isfahan University of Technology. (In Persian)
11- Madani K., and Marino M.A. 2009. Expert knowledge based modeling for integrated water resources planning and management in the Zayandehrud River Basin. Water Resour. Manag. 23(11): 2163-2187.
12- Morgan R.P.C., and Nearing M.A. 2011. Handbook of erosion modelling. 1th, John Wiley & Sons, Ltd., Atrium.
13- Nash J.E., and Sutcliffe J.V. 1970. River flow forecasting through conceptual models: Part 1. A discussion of principles. J. Hydrol.10(3): 282‐290.
14- Neitsch S., Arnold J., Kiniry J., and Williams J. 2011. Soil and water assessment tool: theoretical documentation, version 2009, Texas Water Resource Institute, USA.
15- Safavi H.R., Golmohammadi M.H., and Sandoval-Solis S. 2015. System dynamics analysis for management Iran's Zayandeh-Rud River Basin. J. Hydrol. 528: 773-789.
16- Sathian K.K., and Shyamala P. 2009. Application of GIS Integrated SWAT Model for Basin Level Water Balance. Indian J. Soil Conserv. 37: 100-105.
17- Shafei M., Ansari H., Davari K., and Ghahreman B. 2013. Calibration and uncertainty analysis of a semi-distributed model in a semi-arid region. Journal of Science and Technology of Agriculture and Natural Resources. Water and Soil Science. 17(64): 137-148. (In Persian)
18- Zareian M. J., Eslamian S., and Safavi H.R. 2014. A modified regionalization weighting approach for climate change impact assessment at watershed scale. Theor. Appl. Climatol. 22(3-4): 497-516.
19- Ziaei H.R. 2016. Numerical analysis of water balance components of Zayandeh-Rud basin using remote sensing. MS.c Thesis in Water Resources Engineering. College of Agriculture, Isfahan University of Technology. (In Persian)
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