Filling data gaps using citizen science for flood modeling in urbanized catchment of Akaki

Alemu, Abel Negussie; Haile, Alemseged Tamiru; Carr, Andrew B.; Trigg, Mark A.; Mengistie, Getahun Kebede; Walsh, Claire

doi:10.1016/j.nhres.2023.05.002

Cited by 4 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Flood hazard is typically mapped by running computational calculations using a hydrodynamic model. These models use information about discharge, topography, and river geometry to produce hazard estimates (typically water depth and extent), usually given in terms of an annual exceedance probability (AEP) (Sampson et al, 2015;Dottori et al, 2016;Trigg et al, 2016) or sometimes by simulating a past flood event (Neal et al, 2009;Wood et al, 2016;Wing et al, 2019Wing et al, , 2021Alemu et al, 2023). Few locations have enough data to produce high-quality flood hazard estimates, with these locations limited to the reach scale or data-rich countries (e.g.…”

Section: Introductionmentioning

confidence: 99%

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

Hawker,

Neal,

Savage

et al. 2024

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. 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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

Hawker,

Neal,

Savage

et al. 2024

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

Beaches in Focus: Challenges and Opportunities of the Coastsnap Ne Project in Citizen Science

Braga,

de Paula,

Leisner

et al. 2024

Preprint

View full text Add to dashboard Cite

Long-term hydro-morphological changes in rivers: a case study

Azim

2024

Water Practice &Amp; Technology

View full text Add to dashboard Cite

Over time, river hydro-morphological changes cause net aggradation or degradation in bed cross-sections. The presence of sediments in the flowing water as suspended or bed loads, as well as modifications to flow characteristics like velocity and discharge, are the main causes of these alterations. This study examined long-term hydro-morphological changes over 21 years (1982–2003) in the third Egyptian Nile River reach using bathymetric and hydrological data together with numerical simulation. The aims were to track the hydro-morphological changes, including aggradation and degradation, check the ability of HEC-RAS to determine the water surface profile, and check sections of different zones for navigation. It was found that most of the reach under study suffered degradation in the 21–year study period, with net volumes ranging between 8 and 779 m3/m; the water surface profile calculated using HEC-RAS matched well with the measured one, the zone located between km 526 and km 534 changed from safe to unsafe for navigation, and the zone located between km 397 and km 385 changed from unsafe to safe for navigation.

show abstract

Filling data gaps using citizen science for flood modeling in urbanized catchment of Akaki

Cited by 4 publications

References 15 publications

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

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

Beaches in Focus: Challenges and Opportunities of the Coastsnap Ne Project in Citizen Science

Long-term hydro-morphological changes in rivers: a case study

Contact Info

Product

Resources

About