Version 1
: Received: 6 April 2023 / Approved: 7 April 2023 / Online: 7 April 2023 (04:54:08 CEST)
How to cite:
Atashi, V.; Lim, Y.H. Flood Mapping and Scour Potential Prediction Using Hydraulic Model Based on Advanced ASV-Measured Extreme Flood Events Triggered by Snowmelt. Preprints2023, 2023040112. https://doi.org/10.20944/preprints202304.0112.v1
Atashi, V.; Lim, Y.H. Flood Mapping and Scour Potential Prediction Using Hydraulic Model Based on Advanced ASV-Measured Extreme Flood Events Triggered by Snowmelt. Preprints 2023, 2023040112. https://doi.org/10.20944/preprints202304.0112.v1
Atashi, V.; Lim, Y.H. Flood Mapping and Scour Potential Prediction Using Hydraulic Model Based on Advanced ASV-Measured Extreme Flood Events Triggered by Snowmelt. Preprints2023, 2023040112. https://doi.org/10.20944/preprints202304.0112.v1
APA Style
Atashi, V., & Lim, Y.H. (2023). Flood Mapping and Scour Potential Prediction Using Hydraulic Model Based on Advanced ASV-Measured Extreme Flood Events Triggered by Snowmelt. Preprints. https://doi.org/10.20944/preprints202304.0112.v1
Chicago/Turabian Style
Atashi, V. and Yeo Howe Lim. 2023 "Flood Mapping and Scour Potential Prediction Using Hydraulic Model Based on Advanced ASV-Measured Extreme Flood Events Triggered by Snowmelt" Preprints. https://doi.org/10.20944/preprints202304.0112.v1
Abstract
This research is focused on two key areas. The first is mapping the 2022 flood in the Red River of the North near Grafton, North Dakota, US, and the second is evaluating the scour potential of the Grafton Bridge. Local scour of bridge piers can cause hydraulic structures such as bridge piers and abutments to fail during floods, making it a crucial area of investigation. To collect bathymetry and discharge data during low and high flow conditions, including a flood event with a 16.5-year return period in 2022, an Autonomous Surface Vehicle (ASV) incorporated with LiDAR DEM (Digital Elevation Model) data obtained from the US Geological Survey (USGS) National Map was used. Flood mapping and evaluation of local scour around the bridge pier were conducted using the HEC-RAS 6.0.0 software, which utilizes the Colorado State University method as a default equation. This research demonstrates the potential of ASVs in collecting critical data and LiDAR DEM data is an efficient method for flood mapping and determining scour potential, as it integrates bathymetry, flow velocity, and flood prediction.
Environmental and Earth Sciences, Water Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
