Volume 9, Issue 18 (1-2019)
J Watershed Manage Res 2019, 9(18): 146-156 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Bayati S, Nasr-Esfahani M A, abdollahi K. (2019). Investigation of a Monthly Water Balance and Valuemetric Estimation of the Filtered Base -Flow and Total Flow in Vanak Watershed. J Watershed Manage Res. 9(18), 146-156. doi:10.29252/jwmr.9.18.146
URL: http://jwmr.sanru.ac.ir/article-1-882-en.html
URL: http://jwmr.sanru.ac.ir/article-1-882-en.html
1- Shahrekord UN
Abstract: (3720 Views)
Base-flow can be considered as a part of stream-flow which is connected to discharged flow from aquifers. Due to high variations in rainfall values and other hydrological components in arid and semi-arid areas, watershed scale simulation of the flow is very important. Hydrological models are generally employed as an appropriate tool in this field of study. This work makes uses of use a distributed model called WetSpass-M to investigate water balance and estimate the total flow for Vanak watershed. This model was developed with the aim of simulating water balance in arid and semi-arid regions. Since the model focuses on spatial variations of hydrological components for a desired watershed, all inputs of this model are in the form of raster maps with an ascii format. The temporal resolution for grid inputs was set on a monthly scale except the number of rainy days. The performance of the model for total flow was measured with the Nash-Sutcliff coefficient, the values of 0.57 and 0.56 in both calibration and validation periods were obtained respectively. It also shows an efficiency coefficient of 0.52 for simulated baseflow in both periods. Thus the model result could be regard as an acceptable accuracy for both total flow and base-flow for Vanak watershed. Also a visual comparison of observed and simulated hydrograph demonstrated that model performed better in the case of total flow than filtered base-flow. The other conclusion that we draw from this visualization was low flows simulation were simulated slightly better than high flows. Additionally the results of simulation of water balance components in the study area has demonstrated that the highest portion of annual rainfall in water balance components of the watershed belongs to groundwater recharge.
References
1. Abdollahi, Kh., I. Bashir and O. Batelaan. 2012. WetSpass graphical user interface. Version 31-05-2012. Vrije Universiteit Brussel. Department of Hydrology and Hydraulic Engineering, 10 pp.
2. Abdollahi, Kh. 2015. Basin scale water balance modelling for variable hydrological regimes and temporal scales. Ph.D. Thesis, Vrije Universiteit Brusel, Brusel, Belgium, 176 pp.
3. Abdollahi, Kh., I. Bashir, B. Verbeiren, M.R. Harouna, A.V. Griensven, M. Husmans and O. Batelaan. 2017. A distributed monthly water balance model: formulation and application on Black Volta Basin. Environmental Earth Science, 76: 1-18. [DOI:10.1007/s12665-017-6512-1]
4. Abu-Saleem, A., Y. Al-Zubi, O. Rimawi, J. Al-Zubi and N. Alouran. 2010. Estimation of water balance components in the Hasa basin with GIS based WetSpass model. Journal of Agronomy, 9: 119-125. [DOI:10.3923/ja.2010.119.125]
5. Ahmadnejad, A.R., S.H. Golmaei and M.Z. Ahmadi. 2010. Simulation Rainfall-Runoff Processes and Water Balance Components in Rivers Basin (Case Study: Korkorsar River Basin). Journal of Watershed Management Research, 1: 74-87 (In Persian).
6. Al Kuisi, M. and A. El-Naqa. 2013. GIS based spatial groundwater recharge estimation in the Jafr basin, Jordan- Application of WetSpass models for arid regions. Revista Mexicana de Ciencias Geologicas, 30: 96-109.
7. Anonymous. 2003. A Feasibility and Management Study on Renewable Resources of Vanak Basin.Agriculture and Regional DevelopmentConsulting Engineers (In Persian).
8. Arnold, J.G. and P.M. Allen. 1999. Automated methods for estimating baseflow and ground water recharge from streamflow records. Journal of the American Water Resources Association, 35: 411-424. [DOI:10.1111/j.1752-1688.1999.tb03599.x]
9. Bahremand, A., F. De Smedt, J. Corluy, Y.B. Liu, J. Poorova, L. Velcicka and E. Kunikova. 2007. WetSpa model application for assessing reforestation impacts on floods in Margecany-Hornad Watershed, Slovakia. Water Resources Management, 21: 1373-1391. [DOI:10.1007/s11269-006-9089-0]
10. Barkhordary, J. 2015. Evaluation of a distributed monthly water balance model to determine catchment runoff in arid region using RS and GIS (A case study in Yazd-Ardakan basin). Watershed Management Research (Pajouhesh and Sazandegi), 105: 16-26 (In Persian).
11. Batelaan, O., Z.M. Wang and F. De Smedt. 1996. An adaptive GIS toolbox for hydrological modeling. International Association of Hydrological Sciences Publications-Series of Proceedings and Reports-Intern Assoc Hydrological Sciences, 235: 3-10.
12. Batelaan, O. and F. De Smedt. 2001. WetSpass: a flexible, GIS based, distributed recharge methodology for regional ground water modeling. International Association of Hydrological Sciences Publication, 269: 11-18.
13. Eckhardt, K. 2008. A comparison of baseflow indices, which were calculated with seven different baseflow separation methods. Journal of Hydrology, 352: 168-173. [DOI:10.1016/j.jhydrol.2008.01.005]
14. Hasani, M., A. Malekian, M. Rahimi, M. Samee and M.R. Khamoushi. 2012. Study of efficiency of various base flow separation methods in arid and semi-arid rivers (Case study: Hablehroud basin). Arid Biome Scientific and Research Journal, 2: 10-22 (In Persian).
15. Khalighi Sigaroudi, Sh., S.A. Sadeghi Sangdehi, Kh. Awsati and Y. GHavidel Rahimi. 2009. The study of Drought and Wet Yearn Assessment models for Stations in Mazandaran province. Iranian Journal of Range and Desert Research, 16: 44-54 (In Persian).
16. Mathevet, T., C. Michel, V. Andreassian and C. Perrin. 2006. A bounded version of the Nash-Sutcliffe criterion for better model assessment on large sets of basins. Large sample basin experiments for hydrological model parameterization: Results of the model parameter experiment- MOPEX. International Association of Hydrological Sciences Publication, 307: 211-219.
17. Nash, J.E. and J.V. Sutcliffe. 1979. River flow forecasting through conceptual models 1: a discussion of principles. Journal of Hydrology, 10: 282-290. [DOI:10.1016/0022-1694(70)90255-6]
18. Neitsch, S.L., J.G. Arnold, J.R. Kiniry and J.R. Williams. 2005. Soil and Water Assessment Tools Theoretical Documentation Version 2005. Blackland Research Center, Texas Agricultural Experiment Station, USA. 476 pp.
19. Pistocchi, A., F. Bouraoui and M. Bittelli. 2008. A simplified parameterization of the monthly topsoil water budget. Water Resources Research, 44: 1-21. [DOI:10.1029/2007WR006603]
20. Shafiei, M., H. Ansari, K. Davari and B. Ghahraman. 2013. Calibration and Uncertainty Analysis of a Semi-Distributed Model in a Semi-Arid Region, Case Study: Nishabour Watershed. Journal of Water and Soil Science (Journal of Science and Technology of Agriculture and Natural Resources), 17: 137-148 (In Persian).
21. Sheikh, V., A. Hezbi and A. Bahremand. 2015. Distributed Dynamic Modeling of Water Balance in the Chehelchai Watershed within A GIS Environment. Journal of Watershed Management Research, 6: 29-42 (In Persian).
22. Soleimani Motlagh, M. 2017. Evaluation of Groundwater Budget with Emphasis on the Separation of Deficit Caused by Drought and Overexploitation of Aquifer (Case study:Alashtar Plain). Ph.D Thesis, University of Kashan, Kashan, Iran, 250 pp (In Persian).
23. Turc, L. 1955. Le bilan de laue des sols: Relations entre les precipitations, levaporation et lecoulement. Institut National de la Recherche Agronomique, Paris.
24. Wang, Z.M., O. Batelaan and F. De Smedt. 1997. A distributed model for water and energy transfer between soil, plants and atmosphere (WetSpa). Physics and Chemistry of the Earth, 21(3): 189-193. [DOI:10.1016/S0079-1946(97)85583-8]
25. Wang, Y., W. Liao, Y. Ding, X. Wang, Y. Jiang, X. Song and X. Lei. 2015. Water resource spatiotemporal pattern evaluation of the upstream Yangtze River corresponding to climate changes. Quaternary International, 380: 187-196. [DOI:10.1016/j.quaint.2015.02.023]
26. Yaghoubi, F. and A.R. Bahremand. 2011. Streamflow Simulation using Spatially Distributed Hydrologic Model, WetSpa in Chehel-Chai Watershed in Golestan Province. Journal of Water and Soil Conservation, 18: 185-206 (In Persian).
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
