Research Article | OPEN ACCESS
Derivative Discharge and Runoff Volume Simulation from Different Time Steps with a Hydrologic Simulator
1Milad Jajarmizadeh, 1Sobri Harun, 2Shatirah Akib and 1Norman Shah Bin Sabari
1Department of Hydraulic and Hydrology, Universiti Teknologi Malaysia, 81310 Johor, Malaysia
2Department of Civil Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2014 9:1125-1131
Received: May 19, 2014 | Accepted: June 18, 2014 | Published: September 05, 2014
Abstract
Engineering and water resource management responses to hydrological variability depend on daily, monthly and yearly timeframes. Annual runoff volume and flows are significant for long-term decisions on planning water resources and regulatory programs. The objective of this study was to evaluate the average annual discharge and runoff volume derived from different time steps run by SWAT (Soil and Water Assessment Tool) as hydrologic simulator in order to explore the impact of different time step run simulations on yearly runoff yield. Three scenarios has been performed namely Annual (D), Annual (M) and Annual (Y). Annual (D) and Annual (M) are related with derived average annual flow from daily and monthly run simulations by SWAT. Annual (Y) is yearly simulation run via SWAT. The Nash-Sutcliffe (NS) coefficient, Mean Square Error (MSE) and ratio of the Root-MSE (RSR) on standard deviation of measured data during validation period were 0.73, 6.3 and 0.5 for Annual (D), 0.82, 4 and 0.38 for Annual (M) and 0.81, 4 and 0.38 for Annual (Y), respectively. Also, relative error (%) for validation period obtained 0.97, 0.35 and 0.33 for Annual (D), Annual (M) and Annual (Y) scenarios, respectively. The study concludes that Annual M and Annual Y scenarios obtained closer results in validation period. In regard to relative error for average runoff volume in each year over modeling period, Annual (D) scenario obtained highest contribution with shortest relative errors in comparison with the two other scenarios.
Keywords:
Annual flow , hydrology, water resources , water yield,
References
-
Abbaspour, K.C., M.T. Van Genuchten, R. Schulin and E. Schla, 1997. A sequential uncertainty domain inverse procedure for estimating subsurface flow and transport parameters. Water Resour. Res., 33(8): 1879-1892.
CrossRef
-
Abbaspour, K.C., M. Faramarzi, S. Seyed Ghasemi and H. Yang, 2009. Assessing the impact of climate change on water resources in Iran. Water Resour. Res., 45: 1-6.
CrossRef
-
Abbaspour, K.C., J. Yang, I. Maximov, R. Siber, K. Bogner, J. Mieleitner, J. Zobrist and R. Srinivasan, 2007. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J. Hydrol., 333(2/4): 413-430.
CrossRef
-
Akhavan, S., J. Abedi-Koupai, S.F. Mousavi, M. Afyuni, S.S. Eslamian and K.C. Abbaspour, 2010. Application of SWAT model to investigate nitrate leaching in Hamadan-Bahar Watershed, Iran. Agr. Ecosyst. Environ., 139: 675-688.
CrossRef
-
Arabi, M., R.S. Govindaraju., M.M. Hantush and B.A. Engel, 2006. Role of watershed subdivision on modeling the effectiveness of best management practices with SWAT. J. Am. Water Resour. As., 42(2): 513-528.
CrossRef
-
Arnold, J.G. and N. Fohrer, 2005. SWAT2000: Current capabilities and research opportunities in applied watershed modelling. Hydrol. Process., 19: 563-527.
CrossRef
-
Arnold, J.G., D.N. Moriasi, P.W. Gassman, K.C. Abbaspour, M.J. White, R. Srinivasan, C. Santhi, R.D. Harmel, A. van Griensven, M.W. Van Liew, N. Kannan and M.K. Jha, 2012. SWAT: Model use, calibration and validation. J. Am. Soc. Agric. Biol. Eng., 55(4): 1491-1508.
-
Buytaert, W., J. Friesen, J. Liebe and R. Ludwig, 2012. Assessment and management of water resources in developing, semi-arid and arid regions. Water Resour. Manage., 26: 841-844.
CrossRef
-
Chaplot, V., 2005. Impact of DEM mesh size and soil map scale on SWAT runoff, sediment and NO3-N loads prediction. J. Hydrol., 312(1-4): 207-222.
-
Chen, J. and Y. Wu, 2012. Advancing representation of hydrologic processes in the Soil and Water Assessment Tool (SWAT) through integration of the TOPographic MODEL (TOPMODEL) features. J. Hydrol., 420-421: 319-328.
CrossRef
-
Daniel, E.B., J.V. Camp, E.J. LeBoeuf, J.R. Penrod, J.P. Dobbins and M.D. Abkowitz, 2011. Watershed modeling and its applications: A state-of-the-art review. Open Hydrol. J., 5: 26-50.
CrossRef
-
Douglas-Mankin, K.R., R. Srinivasan and J.G. Arnold, 2010. Soil and Water Assessment Tool (SWAT) model: current developments and applications. Am. Soc. Agric. Biol. Eng., 53(5): 1423-1431.
CrossRef
-
Faramarzi, M., K.C. Abbaspour, R. Schulin and Y. Hong, 2009. Modeling blue and green water resources availability in Iran. Hydrol. Process., 23: 486-501.
CrossRef
-
Faramarzi, M., H. Yang, J. Mousavi, R. Schulin, C.R. Binder and K.C. Abbaspour, 2010. Analysis of intra-country virtual water trade strategy to alleviate water scarcity in Iran. Hydrol. Earth Syst. Sc., 14: 1417-1433.
CrossRef
-
Gassman, P.W., A.M. Sadeghi and R. Srinivasan, 2014. Applications of the SWAT model special section: Overview and insights. J. Environ. Qual., 43: 1-8.
CrossRef PMid:25602534
-
Ghaffari, G., S. Keesstra, J. Ghodousi and H. Ahmadi, 2010. SWAT: Simulated hydrological impact of land-use change in the Zanjanrood Basin, Northwest Iran. Hydrol. Process., 24: 892-903.
CrossRef
-
Gassman, P.W., M.R. Reyes, C.H. Green and J.G. Arnold, 2007. The soil and water assessment tool: Historical development, applications and future research direction. Am. Soc. Agric. Biol. Eng., 50(4): 1211-1250.
CrossRef
-
Jajarmizadeh, M., H. Sobri and M. Salarpour, 2013. An assessment on base and peak flows using a physically-based model. Res. J. Environ. Earth Sci., 5(2): 49-57.
-
Kanae, S., 2009. Global warming and the water crisis. J. Health Sci., 55: 860-864.
CrossRef
-
Longe, E.O. and M.R. Balogun, 2010. Groundwater quality assessment near a municipal landfill, Lagos, Nigeria. Res. J. Appl. Sci. Eng. Technol., 2(1): 39-44.
-
Masih, I., S. Maskey, S. Uhlenbrook and V. Smakhtin, 2011. Assessing the impact of areal precipitation input on stream flow simulations using the SWAT model. J. Am. Water Resour. As., 47(1): 179-195.
CrossRef
-
Moriasi, D.N., B.N. Wilson, K.R. Douglas-Mankin, J.G. Arnold and P.H. Gowda, 2012. Hydrologic and water quality models: Use, calibration and validation. T. ASABE, 55(4): 1241-1247.
CrossRef
-
Moriasi, D.N., J.G. Arnold, M.W. Van Liew, R.L. Binger, R.D. Harmel and T. Veith, 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. T. ASABE, 50(3): 885-900.
CrossRef
-
Morid, M., H. Ghaemi, H.M. Abolghasemi and M. Abediny, 2001. Evaluation of the hec-1 model for flood forecasting and simulation in the hormozgan province, Iran. J. Environ. Hydrol., 9: 1-8.
-
Neitsch, S.L., J.G. Arnold, J.R. Kiniry and J.R. Williams, 2011. Soil and Water Assessment Tool Theoretical Documentation, Version 2009. TR 265. Soil and Water Research Laboratory, Agricultural Research Service, Temple, TX.
-
Oki, T. and S. Kanae, 2006. Global hydrological cycles and world water resources. Science, 313: 1068-1072.
CrossRef PMid:16931749
-
Parajuli, P.B., N.O. Nelson, L.D. Frees and K.R. Mankin, 2009. Comparison of AnnAGNPS and SWAT model simulation results in USDA-CEAP agricultural watersheds in south-central Kansas. Hydrol. Process., 23: 748-763.
CrossRef
-
Paseban, F. and B.H. Kaboudvand, 2013. Measuring sustainability levels of rural development (Case study: Karaj county). Res. J. Appl. Sci. Eng. Technol., 6(19): 3638-3641.
-
Rostamian, R., J. Aazam, M. Afyuni, F. Mousavi, M. Heidarpour, A. Jalalian and K.C. Abbaspour, 2008. Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran. Hydrol. Sci. J., 53(5): 977-988.
CrossRef
-
Sen, Z., 2008. Hydrograph and unit hydrograph derivation in arid regions. Hydrol. Process., 21: 1006-1014.
CrossRef
-
Shargh, A.R.S., 2009. Comprehensive studies of water resource management for roodan watershed. Synthesis Report of Roodan, Consulting Water Resource Engineering Corporation, Register Code 14800. Mashhad, Iran. (In Persian).
-
Singh, P., D.P. Kothari and M. Singh, 2014. Interconnected distribution networks for climate change abatement. Res. J. Appl. Sci. Eng. Technol., 7(2): 240-250.
CrossRef
-
Tuppad, P., K.R. Douglas-Mankin, T. Lee, R. Srinivasan and J.G. Arnold, 2011. Soil and Water Assessment Tool (SWAT) hydrologic/water quality model: Extended capability and wider adoption. Am. Soc. Agric. Biol. Eng., 54(5): 1677-1684.
CrossRef
-
Wang, Y., Y. Wang, L. Guo, Y. Zhao, Z. Zhang and P. Wang, 2013. A wavelet neural network hybrid model for monthly ammonia forecasting in river water. Res. J. Appl. Sci. Eng. Technol., 6(2): 345-348.
-
Winchell, M., R. Srinivasan, M. Di Luzio and J. Arnold, 2010. Arc-SWAT Interface for SWAT 2009: Users' Guide. Grassland, Soil and Water Research Laboratory, Agricultural Research Service and Blackland Research Center, Texas Agricultural Experiment Station: Temple, Texas 76502, USA, pp: 495.
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
|
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
|
Information |
|
|
|
Sales & Services |
|
|
|