Skip to main content
Log in

Development of a Large-Scale Routing Model with Scale Independent by Considering the Damping Effect of Sub-Basins

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Damping effect of the overland of a sub-basin has significant impact on the simulation accuracy of large-scale routing models; however, traditional large-scale routing models have often ignored this impact. To address this problem, we propose a sub-basin response function by combining unit hydrograph theory and sub-basin kinematic wave routing. Specifically, supposing that 10 mm net rainfall input in the sub-basin, the kinematic wave is used to route the net rainfall to the outlet pixels based on high resolution routing network, and the outlet discharge are normalized as sub-basin response function. Meanwhile, the geomorphic function was established to determine the river routing parameters based on observed data. The results of model application demonstrate that the model has satisfactory simulation accuracy both in outlet discharges and in spatial distribution. And simulation with different grid scales brings similar results, illustrating that the model is scale independent. Particularly, the outlet simulation accuracy of the routing model involving sub-basin response function is higher than before.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Alfieri L, Burek P, Dutra E et al (2013) GloFAS - global ensemble streamflow forecasting and flood early warning. Hydrol Earth Syst Sc 17(3):1161–1175. doi:10.5194/hess-17-1161-2013

    Article  Google Scholar 

  • De Paiva R, Buarque DC, Collischonn W et al (2013) Large-scale hydrologic and hydrodynamic modeling of the Amazon River basin. Water Resour Res 49(3):1226–1243. doi:10.1002/wrcr.20067

    Article  Google Scholar 

  • Diakakis M (2010) A method for flood hazard mapping based on basin morphometry: application in two catchments in Greece. Nat Hazards 56(3):803–814. doi:10.1007/s11069-010-9592-8

    Article  Google Scholar 

  • Gong L, Widen-Nilsson E, Halldin S et al (2009) Large-scale runoff routing with an aggregated network-response function. J Hydrol 368(1–4):237–250. doi:10.1016/j.jhydrol.2009.02.007

    Article  Google Scholar 

  • González-Zeas D, Garrote L, Iglesias A et al (2015) Hydrologic determinants of climate change impacts on regulated water resources systems. Water Resour Manag 29(6):1933–1947. doi:10.1007/s11269-015-0920-3

    Article  Google Scholar 

  • Hanasaki N, Kanae S, Oki T et al (2008) An integrated model for the assessment of global water resources – part 1: model description and input meteorological forcing. Hydrol Earth Syst Sci 12(4):1007–1025. doi:10.5194/hess-12-1007-2008

    Article  Google Scholar 

  • Javadi A, Hussain M, Sherif M et al (2015) Multi-objective optimization of different management scenarios to control seawater intrusion in coastal aquifers. Water Resour Manag 29(6):1843–1857. doi:10.1007/s11269-015-0914-1

    Article  Google Scholar 

  • Lai X, Liang Q, Jiang J et al (2014) Impoundment effects of the three-gorges-dam on flow regimes in two China’s largest freshwater lakes. Water Resour Manag 28(14):5111–5124. doi:10.1007/s11269-014-0797-6

    Article  Google Scholar 

  • Lehner B, Grill G (2013) Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrol Process 27(15):2171–2186. doi:10.1002/hyp.9740

    Article  Google Scholar 

  • Liang X, Wood EF, Lettenmaier DP (1996) Surface soil moisture parameterization of the VIC-2 L model: evaluation and modification. Global Planet Change 13(1–4):206. doi:10.1016/0921-8181(95)00046-1

    Google Scholar 

  • Lohmann D, Nolte-Holube R, Raschke E (1996) A large-scale horizontal routing model to be coupled to land surface parametrization schemes. Tellus A 48(5):721. doi:10.1034/j.1600-0870.1996.t01-3-00009.x

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I - A discussion of principles. J Hydrol 10(3):282–290. doi:10.1016/0022-1694(70)90255-6

    Article  Google Scholar 

  • Oki T, Kanae S (2006) Global hydrological cycles and world water resources. Science 313(5790):1068–1072. doi:10.1126/science.1128845

    Article  Google Scholar 

  • Oki T, Nishimura T, Dirmeyer P (1999) Assessment of annual runoff from land surface models using total runoff integrating pathways (TRIP). J Meteorol Soc Jpn 77(1B):235–255

    Google Scholar 

  • Ravazzani G, Gianoli P, Meucci S et al (2014) Assessing downstream impacts of detention basins in urbanized river basins using a distributed hydrological model. Water Resour Manag 28(4):1033–1044. doi:10.1007/s11269-014-0532-3

    Article  Google Scholar 

  • Ravazzani G, Barbero S, Salandin A et al (2015) An integrated hydrological model for assessing climate change impacts on water resources of the upper Po river basin. Water Resour Manag 29(4):1193–1215. doi:10.1007/s11269-014-0868-8

    Article  Google Scholar 

  • Rui X (2004) Principles of hydrology. Chinese Water Conservancy and Electric Power Press, Beijing

    Google Scholar 

  • Wang J, Hong Y, Li L et al (2011) The coupled routing and excess storage (CREST) distributed hydrological model. Hydrol Sci J 56(1):84–98. doi:10.1080/02626667.2010.543087

    Article  Google Scholar 

  • Wen Z, Liang X, Yang S (2012) A new multiscale routing framework and its evaluation for land surface modeling applications. Water Resour Res 48(8):W8528. doi:10.1029/2011WR011337

    Google Scholar 

  • Wu HA, JS Kimball, N Mantua et al. (2011a) Automated upscaling of river networks for macroscale hydrological modeling. Water Resour Res 47(W03517).doi:10.1029/2009WR008871

  • Wu ZY, Lu GH, Wen L et al (2011b) Reconstructing and analyzing China’s fifty-nine year (1951–2009) drought history using hydrological model simulation. Hydrol Earth Syst Sc 15(9):2881–2894. doi:10.5194/hess-15-2881-2011

    Article  Google Scholar 

  • Yamazaki D, Oki T, Kanae S (2009) Deriving a global river network map and its sub-grid topographic characteristics from a fine-resolution flow direction map. Hydrol Earth Syst Sc 13(11):2241–2251. doi:10.5194/hess-13-2241-2009

    Article  Google Scholar 

  • Yamazaki D, Kanae S, Kim H et al (2011) A physically based description of floodplain inundation dynamics in a global river routing model. Water Resour Res 47(W04501):10–1029. doi:10.1029/2010WR009726

    Google Scholar 

  • Zeng H, Feng P, Li X (2014) Reservoir flood routing considering the non-stationarity of flood series in north China. Water Resour Manag 28(12):4273–4287. doi:10.1007/s11269-014-0744-6

    Article  Google Scholar 

Download references

Acknowledgments

The authors are thankful to the anonymous reviewers for their valuable suggestions that helped us improve the presentation of this paper. This work is supported by the Special Public Sector Research Program of Ministry of Water Resources (Grant Nos. 201301040 and 201401008), the Foundation for the Author of National Excellent Doctoral Dissertation of PR China (Grant No. 201161), the Qing Lan Project and Program for New Century Excellent Talents in University (Grant No. NCET-12-0842), and the Natural Science Foundation of Jiangsu Province of China (Grant No. BK20131368).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhiyong Wu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, G., Liu, J., Wu, Z. et al. Development of a Large-Scale Routing Model with Scale Independent by Considering the Damping Effect of Sub-Basins. Water Resour Manage 29, 5237–5253 (2015). https://doi.org/10.1007/s11269-015-1115-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-015-1115-7

Keywords

Navigation