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

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.

[1]  S. Calmant,et al.  Large‐scale hydrologic and hydrodynamic modeling of the Amazon River basin , 2013 .

[2]  S. Kanae,et al.  An integrated model for the assessment of global water resources – Part 1: Model description and input meteorological forcing , 2008 .

[3]  M. Mancini,et al.  Assessing Downstream Impacts of Detention Basins in Urbanized River Basins Using a Distributed Hydrological Model , 2014, Water Resources Management.

[4]  S. Kanae,et al.  Global Hydrological Cycles and World Water Resources , 2006, Science.

[5]  Taikan Oki,et al.  Assessment of Annual Runoff from Land Surface Models Using Total Runoff Integrating Pathways (TRIP) , 1999 .

[6]  Chong-Yu Xu,et al.  Large-scale runoff routing with an aggregated network-response function. , 2009 .

[7]  John S. Kimball,et al.  Automated upscaling of river networks for macroscale hydrological modeling , 2008 .

[8]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[9]  C. Lin,et al.  Reconstructing and analyzing China’s fifty-nine year (1951–2009) drought history using hydrological model simulation , 2011 .

[10]  Xu Liang,et al.  A new multiscale routing framework and its evaluation for land surface modeling applications , 2012 .

[11]  Taikan Oki,et al.  Deriving a global river network map and its sub-grid topographic characteristics from a fine-resolution flow direction map , 2009 .

[12]  R. Ward,et al.  Principles of Hydrology , 1968 .

[13]  P. Feng,et al.  Reservoir Flood Routing Considering the Non-Stationarity of Flood Series in North China , 2014, Water Resources Management.

[14]  Jiahu Jiang,et al.  Impoundment Effects of the Three-Gorges-Dam on Flow Regimes in Two China’s Largest Freshwater Lakes , 2014, Water Resources Management.

[15]  L. Garrote,et al.  Hydrologic Determinants of Climate Change Impacts on Regulated Water Resources Systems , 2015, Water Resources Management.

[16]  Dag Lohmann,et al.  A large‐scale horizontal routing model to be coupled to land surface parametrization schemes , 1996 .

[17]  Giovanni Ravazzani,et al.  An integrated Hydrological Model for Assessing Climate Change Impacts on Water Resources of the Upper Po River Basin , 2015, Water Resources Management.

[18]  Sadiq I. Khan,et al.  The coupled routing and excess storage (CREST) distributed hydrological model , 2011 .

[19]  Akbar A. Javadi,et al.  Multi-objective Optimization of Different Management Scenarios to Control Seawater Intrusion in Coastal Aquifers , 2015, Water Resources Management.

[20]  M. Diakakis,et al.  A method for flood hazard mapping based on basin morphometry: application in two catchments in Greece , 2011 .

[21]  S. Kanae,et al.  A physically based description of floodplain inundation dynamics in a global river routing model , 2011 .

[22]  L. Alfieri,et al.  GloFAS – global ensemble streamflow forecasting and flood early warning , 2012 .

[23]  D. Lettenmaier,et al.  Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification , 1996 .

[24]  Bernhard Lehner,et al.  Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems , 2013 .