Technical Papers
Nov 14, 2018

Effects of Slope Magnitude and Length on SWAT Baseflow Estimation

Publication: Journal of Irrigation and Drainage Engineering
Volume 145, Issue 1

Abstract

The aim of this study was to improve streamflow predictability using the soil and water assessment tool (SWAT) model for baseflow estimation in a steeply sloped watershed. The two objectives were (1) to appraise streamflow predictions using SWAT for different slope magnitude and slope lengths in hydrologic response units (HRUs); and (2) to analyze baseflow contribution to streamflow through a baseflow separation method. To achieve these objectives, the SWAT model and the web-based hydrograph analysis tool (WHAT) system were implemented for five scenarios, comprising various slope magnitudes and slope length calibrations in the geologically distinct Haean-myeon watershed in South Korea. The results showed that SWAT streamflow predictions differed significantly when SWAT’s default slope magnitude and slope length was used versus the observed slope magnitude and slope length for baseflow estimation. Moreover, better prediction occurred when a representative slope length based on the observation was used rather than SWAT’s default slope magnitude and slope length. In this context, the effect of slope magnitude and slope length on baseflow and streamflow using SWAT was illustrated. Therefore, proper slope magnitude and slope length characterization will significantly improve the prediction ability of the SWAT model.

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Acknowledgments

This research was supported by a grant (17AWMP-B083066-04) from the Advanced Water Management Research Program funded by the Ministry of Land, Infrastructure and Transport of Korean government.

References

Abbaspour, K. C. 2011. SWAT-CUP4: SWAT calibration and uncertainty programs: A user manual, 1–103. Dübendorf, Switzerland: EAWAG Swiss Federal Institute of Aquatic Science and Technology.
Abbaspour, K. C., J. Yang, I. Maximov, R. Siber, K. Bonger, J. Mieleitner, J. Zobrist, and R. Srinivasan. 2007. “Modelling hydrology and water quality in the pre-alpine Thur watershed using SWAT.” J. Hydrol. 333 (2): 413–430. https://doi.org/10.1016/j.jhydrol.2006.09.014.
Arnold, J. G., P. M. Allen, and G. A. Bernhardt. 1993. “Comprehensive surface-groundwater flow model.” J. Hydrol. 142 (1): 47–69. https://doi.org/10.1016/0022-1694(93)90004-S.
Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams. 1998. “Large area hydrologic modeling and assessment. Part I: Model development.” J. Am. Water Resour. Assoc. 34 (1): 73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x.
Bayreuth University. 2009. Land use data at Haean, Mandae watershed in Korea. Bayreuth, Germany: Dept. of Plant Ecology, Bayreuth Univ.
Bicknell, B. R., J. C. Imhoff, T. H. Jobes, and A. S. Donigian. 2001. Hydrologic simulation program fortran (HSPF) user’s manual for version 12, 1–12. Athens, GA: USEPA and National Exposure Research Laboratory.
Choi, G., B. Lee, S. Kang, and J. Tenhunen. 2011. Variations of summertime temperature lapse rate within a mountainous basin in the Republic of Korea: A case study of Punch Bowl, Yanggu in 2009-2011. [In Korea.] In Proc., TERRECO Science Conf. Garmisch-Partenkirchen, Germany: Karlsruhe Institute of Technology.
Chu, T. W., and A. Shirmohammadi. 2004. “Evaluation of the SWAT model’s hydrology component in the piedmont physiographic region of Maryland.” Trans. ASAE 47 (4): 1057–1073. https://doi.org/10.13031/2013.16579.
Frey, S. K., et al. 2013. “Using SWAT, Bacteroidales microbial source tracking markers, and fecal indicator bacteria to predict waterborne pathogen occurrence in an agricultural watershed.” J. Water Res. 47 (16): 6326–6337. https://doi.org/10.1016/j.watres.2013.08.010.
Gitau, M. W., and I. Chaubey. 2010. “Regionalization of SWAT model parameters for use in ungauged watersheds.” J. Water 2 (4): 849–871. https://doi.org/10.3390/w2040849.
Gupta, H. V., S. Sorooshian, and P. O. Yapo. 1999. “Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration.” J. Hydrol. Eng. 4 (2): 135–143. https://doi.org/10.1061/(ASCE)1084-0699(1999)4:2(135).
Huber, W. C., and R. E. Dickinson. 1998. Storm water management model version 4; user’s manual, 1–15. Gainesville, FL: Dept. of Environmental Engineering Sciences, Univ. of Florida.
Jang, W. S., D. S. Yoo, I. M. Chung, N. W. Kim, M. S. Jun, Y. S. Park, J. G. Kim, and K. J. Lim. 2009. “Development of SWAT SD-HRU pre-processor module for accurate estimation of slope and slope length of each HRU considering spatial topographic characteristics in SWAT.” [In Korea.] J. Korean Soc. Water Qual. 25 (3): 351–362.
Khoi, D. N., and V. T. Thom. 2015. “Parameter uncertainty analysis for simulating streamflow in a river catchment of Vietnam.” Global Ecol. Conserv. 4: 538–548. https://doi.org/10.1016/j.gecco.2015.10.007.
Kim, N. W., J. W. Lee, J. Lee, and J. E. Lee. 2010. “SWAT application to estimate design runoff curve number for South Korean conditions.” Hydrol. Process 24 (15): 2156–2170. https://doi.org/10.1002/hyp.7638.
KMA (Korea Meteorological Administration). 2018. “Acquisition the weather data.” Accessed January 21, 2018. http://www.kma.go.kr.
Lim, K. J., B. A. Engel, Z. Tang, J. Choi, K. Kim, S. Muthukrishnan, and D. Tripathy. 2005. “Auto-mated web GIS-based hydrograph analysis tool, WHAT.” J. Am. Water Recourse Assoc. 41 (6): 1407–1416. https://doi.org/10.1111/j.1752-1688.2005.tb03808.x.
Moriasi, D. N., J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, and T. Veith. 2007. “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. ASABE 50 (3): 885–900. https://doi.org/10.13031/2013.23153.
Nash, J. E., and J. V. Sutcliffe. 1970. “River flow forecasting through conceptual models. Part I: A discussion of principles.” J. Hydrol. 10 (3): 282–290. https://doi.org/10.1016/0022-1694(70)90255-6.
Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams. 2011. Soil and water assessment tool theoretical documentation version 2009. College Station, TX: Texas Water Resources Institute.
NGII (National Geographic Information Institute). 2018. “Acquisition the digital elevation model with 5-m resolution of South Korea.” Accessed January 20, 2018. http://www.ngii.go.kr.
Niraula, R. W., L. T. Kalin, P. N. Srivastava, and C. P. Anderson. 2013. “Identifying critical source areas of nonpoint source pollution with SWAT and GWLF.” J. Ecol. Modell. 268 (24): 123–133. https://doi.org/10.1016/j.ecolmodel.2013.08.007.
Park, C. H., J. J. Lee, and M. H. Koo. 2013. “Development of a fully-distributed daily hydrologic feedback model addressing vegetation, land cover, and soil water dynamics (VELAS).” J. Hydrol. 493 (17): 43–56. https://doi.org/10.1016/j.jhydrol.2013.04.027.
Pettyjohn, W., H. White, and S. Dunn. 1983. Water atlas of Oklahoma, 42–43. Stillwater, OK: Univ. Center for Water Research, Oklahoma State Univ.
RDA (The Rural Development Administration). 2018. “Acquisition the reconnaissance soil map of South Korea.” The Rural Development Administration of South Korea. Accessed January 20, 2018. http://www.rda.go.kr/r/.
Ryu, J. C., J. W. Choi, H. W. Kang, D. H. Kum, D. S. Shin, K. H. Lee, G. C. Jeong, and K. J. Lim. 2010. “Evaluation of groundwater recharge for land uses at Mandae Stream watershed using SWAT HRU mapping module.” [In Korea.] J. Korea Soc. Water Environ. 28 (5): 743–753.
Shope, C. L., et al. 2013a. “An interdisciplinary swat eco hydrological model to define catchment-scale hydrologic partitioning.” J. Landscape 10: 7235–7290. https://doi.org/10.5194/hessd-10-7235-2013.
Shope, C. L., S. Bartsch, K. Kim, B. Kim, J. Tenhunen, S. Peiffer, J. H. Park, Y. S. Ok, J. Fleckenstein, and T. A. Koellner. 2013b. “Weighted, multi-method approach for accurate basin-wide streamflow estimation in an ungauged watershed.” J. Hydrol. 494 (28): 72–82. http://doi.org /10.1016/j.jhydrol.2013.04.035.04.035.
Singh, J., H. V. Knapp, J. G. Arnold, and M. Demissie. 2005. “Hydrological modeling of the Iroquois River watershed using HSPF and SWAT.” JAWRA J. Am. Water Resour. Assoc. 41 (2): 343–360. https://doi.org/10.1111/j.1752-1688.2005.tb03740.x.
Xie, H., and Y. Lian. 2013. “Uncertainty-based evaluation and comparison of SWAT and HSPF applications to the Illinois river basin.” J. Hydrol. 481 (25): 119–131. https://doi.org/10.1016/j.jhydrol.2012.12.027.
Zhang, Y., L. Ahiablame, B. Engel, and J. Liu. 2013. “Regression modeling of baseflow and baseflow index for Michigan USA.” Water 5 (4): 1797–1815. https://doi.org/10.3390/w5041797.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 145Issue 1January 2019

History

Received: May 10, 2018
Accepted: Aug 7, 2018
Published online: Nov 14, 2018
Published in print: Jan 1, 2019
Discussion open until: Apr 14, 2019

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Authors

Affiliations

Dongjun Lee
Graduate Student, Dept. of Regional Infrastructure Engineering, Kangwon National Univ., Chuncheon, Gangwon 24341, Republic of Korea.
Jimin Lee
Graduate Student, Dept. of Agricultural and Biological Engineering, Purdue Univ., West Lafayette, IN 47907.
Jonggun Kim
Researcher, Institute of Agriculture and Life Science, Kangwon National Univ., Chuncheon, Gangwon 24341, Republic of Korea.
Kyoung Jae Lim
Professor, Dept. of Regional Infrastructure Engineering, Kangwon National Univ., Chuncheon, Gangwon 24341, Republic of Korea.
Bernard A. Engel
Professor, Dept. of Agricultural and Biological Engineering, Purdue Univ., West Lafayette, IN 47907.
Jae Eui Yang
Professor, Dept. of Biological Environment, Kangwon National Univ., Chuncheon, Gangwon 24341, Republic of Korea.
Younghun Jung [email protected]
Professor, Dept. of Construction and Disaster Prevention Engineering, Kyungpook National Univ., Sangju, Gyeongsangbok 37224, Republic of Korea (corresponding author). Email: [email protected]

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