The Improvement in GWLF Model Simulation Performance in Watershed Hydrology by Changing the Transport Framework

The correct and reasonable delineation of actual hydrologic processes is a footstone for the effective simulation of pollutants in watershed models. In this study, a simple but comprehensive semidistributed modeling approach based on the generalized watershed loading function (GWLF) was modified to enable the accurate simulation of hydrology in watersheds. The frame of the original GWLF model (ORM), with a lumped hydrological parameter, was modified by adding channel routing processes, which made it possible to introduce the concept of subbasins. Then, the revised GWLF model was applied to the Luanhe watershed (30,000 km2) on a monthly bias in comparison with the ORM and the previously revised version. The sensitivity analysis and generalized likelihood uncertainty estimation (GLUE) uncertainty analysis were individually conducted to evaluate these modifications. Eventually, we compared four extreme conditions for the daily streamflow simulations of the three model versions in the Tunxi watershed but without calibration. All of the results indicated that the stability and accuracy of the model and the validity of the parameters were all enhanced and improved by the new revised version of the model, which provided reliable simulation results and indicated that it is a prospective tool to support watershed management.

[1]  Dennis P. Swaney,et al.  A toolbox for calculating net anthropogenic nitrogen inputs (NANI) , 2011, Environ. Model. Softw..

[2]  P. Gleick Global Freshwater Resources: Soft-Path Solutions for the 21st Century , 2003, Science.

[3]  D. Easterling,et al.  THE EFFECTS OF CLIMATE CHANGE ON STREAM FLOW AND NUTRIENT LOADING 1 , 2001 .

[4]  W. Green,et al.  Studies on Soil Phyics. , 1911, The Journal of Agricultural Science.

[5]  K. Korfmacher The Politics of Participation in Watershed Modeling , 2001, Environmental management.

[6]  Kuang-Yao Lee,et al.  Modeling the hydrochemistry of the Choptank River basin using GWLF and Arc/Info: 2. Model Validation and Application , 2001 .

[7]  D. K. Borah,et al.  SEDIMENT AND NUTRIENT MODELING FOR TMDL DEVELOPMENT AND IMPLEMENTATION , 2006 .

[8]  Donald E. Weller,et al.  Modeling the hydrochemistry of the Choptank River Basin using GWLF and Arc/Info: 1. Model calibration and validation , 2000 .

[9]  Yuqiu Wang,et al.  Comparison of SWAT and GWLF Model Simulation Performance in Humid South and Semi-Arid North of China , 2017 .

[10]  James M. Hamlett,et al.  A Comprehensive GIS-based Modeling Approach for Predicting Nutrient Loads in Watersheds , 2002 .

[11]  Donald C. Pierson,et al.  MODELING THE HYDROCHEMISTRY OF THE CANNONSVILLE WATERSHED WITH GENERALIZED WATERSHED LOADING FUNCTIONS (GWLF) 1 , 2002 .

[12]  Keith Beven,et al.  Comment on "Hydrological forecasting uncertainty assessment: incoherence of the GLUE methodology" by Pietro Mantovan and Ezio Todini , 2007 .

[13]  Jeffrey G. Arnold,et al.  SWRRB; a basin scale simulation model for soil and water resources management. , 1990 .

[14]  Keith Beven,et al.  The future of distributed models: model calibration and uncertainty prediction. , 1992 .

[15]  Daniel P. Loucks,et al.  Artificial Neural Network Models of Watershed Nutrient Loading , 2012, Water Resources Management.

[16]  Deva K. Borah,et al.  WATERSHED-SCALE HYDROLOGIC AND NONPOINT-SOURCE POLLUTION MODELS: REVIEW OF APPLICATIONS , 2004 .

[17]  Yuqiu Wang,et al.  Application of Regional Nutrient Management Model in Tunxi Catchment: In Support of the Trans‐boundary Eco‐compensation in Eastern China , 2014 .

[18]  D. Swaney,et al.  Estimation of watershed hydrologic processes in arid conditions with a modified watershed model , 2014 .

[19]  Xuyong Li,et al.  Watershed model calibration using multi-objective optimization and multi-site averaging , 2010 .

[20]  D. Swaney,et al.  Application of the ReNuMa model in the Sha He river watershed: tools for watershed environmental management. , 2013, Journal of environmental management.

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

[22]  Markus Disse,et al.  A Multi-Criteria Model Selection Protocol for Practical Applications to Nutrient Transport at the Catchment Scale , 2015 .

[23]  Huaxia Yao,et al.  SWAT-CS: Revision and testing of SWAT for Canadian Shield catchments , 2014 .

[24]  D. Overton Muskingum flood routing of upland streamflow , 1966 .

[25]  Ni-Bin Chang,et al.  Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images. , 2006, Journal of environmental management.

[26]  Modification of generalized watershed loading functions (GWLF) for daily flow simulation , 2015, Paddy and Water Environment.

[27]  John R. Williams,et al.  Flood Routing With Variable Travel Time or Variable Storage Coefficients , 1969 .

[28]  R. Howarth,et al.  Inputs of Sediment and Carbon to an Estuarine Ecosystem: Influence of Land Use. , 1991, Ecological applications : a publication of the Ecological Society of America.

[29]  Douglas A. Haith,et al.  GENERALIZED WATERSHED LOADING FUNCTIONS FOR STREAM FLOW NUTRIENTS , 1987 .

[30]  David Taylor,et al.  Impacts of climate change on phosphorus loading from a grassland catchment: implications for future management. , 2009, Water research.

[31]  P. Mantovan,et al.  Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology , 2006 .