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A new modeling approach for simulating microtopography-dominated,discontinuous overland flow on infiltrating surfaces
Affiliation:1. ISFA, CREST and ETH Zurich (Department of Mathematics, RiskLab), Switzerland;2. LSCE (CNRS), France;1. Dept. of Civil and Environmental Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA;2. Chemical and Materials Science Division, Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, 3335 Q Ave., MSIN K8-96, Richland, WA 99354, USA;1. Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO 80202, United States;2. Institute for Computational Engineering and Sciences (ICES), University of Texas at Austin, Austin, TX 78712, United States;3. Department of Statistics, Colorado State University, Fort Collins, CO 80523, United States;4. Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, South Bend, IN, United States;1. Earth and Life Institute, Université catholique de Louvain, Croix du Sud 2, L7.05.02, 1348 Louvain-la-Neuve, Belgium;2. Agrosphere, IBG-3, Forschungszentrum Julich GmbH, 52425 Julich, Germany
Abstract:Realistic modeling of discontinuous overland flow on irregular topographic surfaces has been proven to be a challenge. This study is aimed to develop a new modeling framework to simulate the discontinuous puddle-to-puddle (P2P) overland flow dynamics for infiltrating surfaces with various microtopographic characteristics. In the P2P model, puddles were integrated in a well-delineated, cascaded drainage system to facilitate explicit simulation of their dynamic behaviors and interactions. Overland flow and infiltration were respectively simulated by using the diffusion wave model and a modified Green–Ampt model for the DEM-derived flow drainage network that consisted of a series of puddle-based units (PBUs). The P2P model was tested by using a series of data from laboratory overland flow experiments for various microtopography, soil, and rainfall conditions. The modeling results indicated that the hierarchical relationships and microtopographic properties of puddles significantly affected their connectivity, filling–spilling dynamics, and the associated threshold flow. Surface microtopography and rainfall characteristics also exhibited strong influences on the spatio-temporal distributions of infiltration rates, runoff fluxes, and unsaturated flow. The model tests demonstrated its applicability in simulating microtopography-dominated overland flow on infiltrating surfaces.
Keywords:Overland flow  Microtopography  Puddle dynamics  Depression  Infiltration  Digital elevation model
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