Watershed

Oral

394710 - Joint Grid-based and Subbasin-based Hydrologic Modeling and Application

Tuesday, June 5
2:00 PM - 3:30 PM
Location: Greenway IJ
Co-Authors: Zhulu Lin, PO Box 6050, Fargo, ND 58108-6050 – North Dakota State University; Mohsen Tahmasebi Nasab, Fargo, ND 58108-6050 – North Dakota State University; Lan Zeng, Fargo, ND 58108-6050 – North Dakota State University; Kendall Grimm, Fargo, ND 58108-6050 – North Dakota State University; Mohammad Hadi Bazrkar, Fargo, ND 58108-6050 – North Dakota State University; Xingwei Liu, Fargo, ND 58108-6050 – North Dakota State University; Ning Wang, Fargo, ND 58108-6050 – North Dakota State University

A variety of models are available for watershed hydrologic modeling. They possess different modeling frameworks and complexities, employ distinct methods and solution approaches, and require dissimilar types of input data. Availability of various spatially-distributed data particularly enhances the applications of such large-scale hydrologic models. However, simulations by using a single model may have many limitations. The objective of this study is to improve large-scale hydrologic modeling by joint simulation and cross-calibration of different models. A macro-scale, grid-based hydrologic model (GHM) was developed. It is featured with a unique modeling framework, facilitating grid-to-grid (G2G) and zone-to-zone (Z2Z) simulations. The former (G2G) accounts for the spatial variability in hydrologic processes and input data across a watershed, while the latter (Z2Z) simulates hydrologic processes in a well-connected surface-subsurface system that consists of the canopy zone, snowpack zone, surface zone, and vadose zone. The grid-based GHM and the subbasin-based SWAT model were jointly applied to the Red River of the North Basin, which took full advantage of different functionalities and capabilities of the two models. Specifically, the SWAT model was fully calibrated by using observed data. The well-calibrated hydrologic variables and all mass balance terms were then used for calibration of the GHM. As a feedback, the GHM provided gridded distributions of hydrologic quantities in all individual subbasins for the SWAT model. This study demonstrated the effective use of different modeling methods and available data, and the feasibility of joint hydrologic modeling and implementation of cross-calibration of different watershed models.

Xuefeng Chu, Ph.D.

Associate Professor
North Dakota State University

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