Premium
Investigating two‐dimensional, finite element predictions of floodplain inundation using fractal generated topography
Author(s) -
Bates P. D.,
Horritt M.,
Hervouet J.M.
Publication year - 1998
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/(sici)1099-1085(19980630)12:8<1257::aid-hyp672>3.0.co;2-p
Subject(s) - floodplain , hydraulics , geology , calibration , fractal , hydrology (agriculture) , finite element method , outflow , flood myth , channel (broadcasting) , geotechnical engineering , computer science , mathematics , physics , geography , mathematical analysis , computer network , statistics , oceanography , cartography , archaeology , thermodynamics
Two‐dimensional, finite element hydraulic models have been developed to simulate river flood flows at high spatial and temporal resolutions over river reach lengths of 1–60 km. Such models have been shown to be capable of simulating bulk flow; however, model redesign to predict spatially distributed hydraulic variables has been constrained by lack of suitable topographic and hydraulic data. Here we begin this development process using a hypothetical river channel/floodplain domain where the topographic surface is parameterized using scaling information derived from a fractal analysis of a real floodplain DTM. This is used to test the relative effect of the boundary friction calibration, numerical model grid resolution, topography sampling error and floodplain relative height on model predictions of outflow discharge, inundation extent and local hydraulic variables. Simulations indicate that model calibration is the dominant factor affecting the above three quantities. Moreover, model sensitivity to spatially uniform change is shown to be simple for bulk flow and inundation extent but spatially complex for local hydraulics. The study has a number of implications for model calibration and set‐up procedures, as well as indicating the need to develop a new suite of analysis techniques for this class of model. © 1998 John Wiley & Sons, Ltd.