Validating the Quality of Volunteered Geographic Information (VGI) for Flood Modeling of Hurricane Harvey in Houston, Texas

Abstract

The primary objective of this study was to examine the quality of volunteered geographic information (VGI) data for flood mapping of Hurricane Harvey. As a crowdsourcing platform, the U-Flood project mapped flooded streets in the Houston metro area. This research examines the following: (1) If there are any significant differences in water depth (WD) among the hydraulic and hydrologic (H&H) model, the Federal Emergency Management Agency (FEMA) reference floodplain map, and the VGI? (2) Are there any significant differences in the inundated areas between the floodplain modeled by the VGI and hydraulic simulation? This study used HEC-RAS to simulate flood inundation maps and validated the results with high water marks (HWM) and the FEMA-modeled floodplain after Hurricane Harvey. The statistical results showed that there were significant differences in the WD, the inundated road count, and the length inside/outside of HEC-RAS-modeled floodplain. The results also showed that a less consistent decreasing trend between the U-Flood data and the modeled floodplain over time and space. This study empirically evaluated the data quality of the VGI based on observed and modeled data in flood monitoring. The findings from this study fill the gaps in the literature by assessing the uncertainty and data quality of VGI, providing insights into using supplementary data in flood mapping research.

Mapping the Flood Vulnerability of Residential Structures: Cases from The Netherlands, Puerto Rico, and the United States

“…Meyerland-WSE estimation for Hurricane Harvey 100-year conditions were calculated using HEC-RAS software (version 6.2). Numerous recent studies have extensively employed HEC-RAS for flood risk assessment in the Greater Houston region [92][93][94]. The flood elevation utilized in this study offers more recent HEC-RAS advancements such one-dimensional (1D)/two-dimensional (2D) coupled unsteady flow simulations, replacing the 1D regulatory flood elevations available through FEMA-NFIP (Hydrologic Engineering Center, 2023).…”

Modeling Hydrodynamic Behavior of the Ottawa River: Harnessing the Power of Numerical Simulation and Machine Learning for Enhanced Predictability

“…HEC-RAS (Hydrologic Engineering Centers-River Analysis System) has gained renown for its proficiency in scrutinizing and emulating river hydraulic processes. It has established itself as a well-recognized and extensively embraced software in the realm of hydraulic modeling, boasting a vast user community [23][24][25]. This software offers an array of capabilities for assessing and simulating river hydraulics, encompassing aspects such as floodplain deluge scenarios, sediment conveyance, water surface profiles, and flow rates [26][27][28][29].…”