Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam

Autor: L. Hawker, J. Neal, J. Savage, T. Kirkpatrick, R. Lord, Y. Zylberberg, A. Groeger, T. D. Thuy, S. Fox, F. Agyemang, P. K. Nam
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Natural Hazards and Earth System Sciences, Vol 24, Pp 539-566 (2024)
Druh dokumentu: article
ISSN: 1561-8633
1684-9981
DOI: 10.5194/nhess-24-539-2024
Popis: Flooding is an endemic global challenge with annual damages totalling billions of dollars. Impacts are felt most acutely in low- and middle-income countries, where rapid demographic change is driving increased exposure. These areas also tend to lack high-precision hazard mapping data with which to better understand or manage risk. To address this information gap a number of global flood models have been developed in recent years. However, there is substantial uncertainty over the performance of these data products. Arguably the most important component of a global flood model is the digital elevation model (DEM), which must represent the terrain without surface artifacts such as forests and buildings. Here we develop and evaluate a next generation of global hydrodynamic flood model based on the recently released FABDEM DEM. We evaluate the model and compare it to a previous version using the MERIT DEM at three study sites in the Central Highlands of Vietnam using two independent validation data sets based on a household survey and remotely sensed observations of recent flooding. The global flood model based on FABDEM consistently outperformed a model based on MERIT, and the agreement between the model and remote sensing was greater than the agreement between the two validation data sets.
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