Abstract
Sequential Uncertainty Fitting-2 (SUFI-2) with ArcSWAT2009 was used to test the performance of SWAT model for predicting runoff in the Zhanghe upstream. Parameter calibration and distributed hydrologic model building for the Zhanghe upstream were performed by coupling manual and auto-calibration methods. Monthly simulation values of R2 and NSE were 0.83 and 0.79 during the calibration period, and 0.83 and 0.76 during the validation period, respectively. The results showed that SWAT model could be successfully used to model long-term continuous runoff in the study area. The calibrated model can be used for further analysis of the effects of the climate and land use change, water quality analysis and sediment yield analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Weng, S.Q., Huang, G.H., Li, Y.P.: An integrated scenario-based multi-criteria decision support system for water resources management and planning—a case study in the Haihe River Basin. Expert Syst. Appl. 37, 8242–8254 (2010). https://doi.org/10.1016/j.eswa.2010.05.061
Guo, Y., Shen, Y.: Quantifying water and energy budgets and the impacts of climatic and human factors in the Haihe River Basin, China: 1. Model and validation. J. Hydrol. 528, 206–216 (2015). https://doi.org/10.1016/j.jhydrol.2015.06.039
Guo, Y., Shen, Y.: Quantifying water and energy budgets and the impacts of climatic and human factors in the Haihe River Basin, China: 2 Trends and implications to water resources. J. Hydrol. 527, 251–261 (2015)
Zou, J., Xie, Z., Zhan, C. et al.: Effects of anthropogenic groundwater exploitation on land surface processes: A case study of the Haihe River Basin, northern China. J. Hydrol. 524, 625–641 (2015). doi:https://doi.org/10.1016/j.jhydrol.2015.03.026
Ke, X., Wang, C., Jing, D., et al.: Assessing water quality by ratio of the number of dominant bacterium species between surface/subsurface sediments in Haihe River Basin. Mar. Pollut. Bull. 98, 267–273 (2015). https://doi.org/10.1016/j.marpolbul.2015.06.003
Arnold, J.G., Srinivasan, R., Muttiah, R.S., Williams, J.R.: Large area hydrologic modeling and assessment, part I: model development. J. Am. Water Resour. Assoc. 34, 73–89 (1998). https://doi.org/10.1111/j.1752-1688.1998.tb05961
Morgan, R.P.C.: A simple approach to soil loss prediction: a revised Morgan–Morgan–Finney model. CATENA 44, 305–320 (2001). https://doi.org/10.1016/S0341-8162(00)00171-5
Grønsten, H.A., Lundekvam, H.: Prediction of surface runoff and soil loss in south eastern Norway using the WEPP Hillslope model. Soil Tillage Res. 85, 186–199 (2006). https://doi.org/10.1016/j.still.2005.01.008
Debele, B., Srinivasan, R., Yves Parlange, J.: Coupling upland watershed and downstream water hydrodynamic and water quality models (SWAT and CE-QUAL-W2) for better water resources management in complex River Basins. Environ. Model. Assess. (2006). https://doi.org/10.1007/s10666-006-9075 -1
Zhang, Y., Xia, J., Shao, Q., Zhai, X.: Water quantity and quality simulation by improved SWAT in highly regulated Huai River Basin of China. Stoch. Environ. Res. Risk Assess. 27, 11–27 (2011). https://doi.org/10.1007/s00477-011-0546-9
Sheng, X.B., Sun, J.Z., Liu, Y.X.: Effect of land-use and land-cover change on nutrients in soil in Bashang area China. J. Environ. Sci. 15, 548–553 (2003). https://doi.org/10.1007/s40333-013-0143-5
Wu, W., Hall, C.A.S., Scatena, F.N.: Modelling the impact of recent land-cover changes on the stream flows in Northeastern Puerto Rico. Hydrol. Process. 21, 2944–2956 (2007). https://doi.org/10.1002/hyp.6515
Shrestha, B., Babel, M.S., Maskey, S., van Griensven, A., Uhlenbrook, S., Green, A., Akkharath, I.: Impact of climate change on sediment yield in the Mekong River Basin: a case study of the Nam ou Basin, Lao PDR. Hydrol. Earth Syst. Sci. 17, 1–20 (2013). https://doi.org/10.5194/hess-17-1-2013
Abbaspour, K.C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitne, J., Zobrist, J., Srinivasan, R.: Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J. Hydrol. 333, 413–430 (2007). https://doi.org/10.1016/j.jhydrol.2006.09.014
Yesuf, H.M., Assefa, M.M., Zeleke, G., Alamirew, T.: Streamflow prediction uncertainty analysis and verification of SWAT model in a tropical watershed. Environ. Earth Sci. 75, 806–820 (2016). https://doi.org/10.1007/s12665-016-5636-z
Zhang, D., Chen, X., Yao, H., et al.: Moving SWAT model calibration and uncertainty analysis to an enterprise Hadoop-based cloud. Environ. Model Softw. 84, 140–148 (2016). https://doi.org/10.1016/j.envsoft.2016.06.024
Abbaspour, K.C., Johnson, C., van Genuchten, M.T.: Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone J. 3, 1340–1352 (2004). https://doi.org/10.2113/3.4.1340
Vilaysane, B., Takara, K., Luo, P., et al.: Hydrological stream flow modelling for calibration and uncertainty analysis using SWAT model in the Xedone River Basin Lao PDR. Procedia Environ. Sci. 28, 380–390 (2015). https://doi.org/10.1007/s10666-006-9075-1
Gassman, P.W., Reyes, M.R., Green, C.H., Arnold, J.G.: The soil and water assessment tool: historical development, applications, and future research directions. Trans. Asabe. 50, 1211–1250 (2007). https://doi.org/10.13031/2013.23637
Abbaspour, K.C.: SWAT-CUP2. SWAT Calibration and Uncertainty Programs, Version 2. 2009
Beven, K., Binley, A.: The future of distributed models—model calibration and uncertainty prediction. Hydrol. Process. 6, 279–298 (1992). https://doi.org/10.1002/hyp.3360060305
Alamirew, C.D.: Modeling of hydrology and soil erosion in upper Awash River Basin. Univ. Bonn, Institut für Städtebau, Bodenordnung und Kulturtechnik. 223, 235–241 (2006)
Acknowledgements
This study was supported by Ministry of Water Resources’ special funds for scientific research on public causes of China (No. 201401030), Key Educational Commission of Hebei Province, China (No. ZH2012044), Youth Foundation Project of Hebei Provincial Department of Education China (No. 2017039).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Haixia, W., Qingxue, L., Yuzhuang, S. (2019). Applicability of Runoff Simulation in the Zhanghe Upstream Based on SWAT Model. In: Dong, W., Lian, Y., Zhang, Y. (eds) Sustainable Development of Water Resources and Hydraulic Engineering in China. Environmental Earth Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-61630-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-61630-8_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61629-2
Online ISBN: 978-3-319-61630-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)