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Article

Catchment-Scale Flood Modelling in Data-Sparse Regions Using Open-Access Geospatial Technology

1
Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
2
Kawari Technical Services Nigeria Limited, Yenagoa, Nigeria
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(9), 512; https://doi.org/10.3390/ijgi9090512
Received: 8 July 2020 / Revised: 12 August 2020 / Accepted: 17 August 2020 / Published: 25 August 2020
Consistent data are seldom available for whole-catchment flood modelling in many developing regions, hence this study aimed to explore an integrated approach for flood modelling and mapping by combining available segmented hydrographic, topographic, floodplain roughness, calibration, and validation datasets using a two-dimensional Caesar-Lisflood hydrodynamic model to quantify and recreate the extent and impact of the historic 2012 flood in Nigeria. Available segments of remotely-sensed and in situ datasets (including hydrological, altimetry, digital elevation model, bathymetry, aerial photo, optical imagery, and radar imagery data) available to different degrees in the Niger-South hydrological area were systematically integrated to draw maximum benefits from all available data. Retrospective modelling, calibration, and validation were undertaken for the whole Niger- South hydrological catchment area of Nigeria, and then these data were segmented into sub-domains for re-validation to understand how data variability and uncertainties impact the accuracy of model outcomes. Furthermore, aerial photos were applied for the first time in the study area for flood model validation and for understanding how different physio-environmental properties influenced the synthetic aperture radar flood delineation capacity in the Niger Delta region of Nigeria. This study demonstrates how the complementary strengths of open, readily available geospatial datasets and tools can be leveraged to model and map flooding within acceptable levels of uncertainty for flood risk management. View Full-Text
Keywords: open-access; geospatial; remote sensing; hydrodynamic model; Caesar-Lisflood; data-sparse; niger river basin; flood risk management open-access; geospatial; remote sensing; hydrodynamic model; Caesar-Lisflood; data-sparse; niger river basin; flood risk management
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MDPI and ACS Style

Ekeu-wei, I.T.; Blackburn, G.A. Catchment-Scale Flood Modelling in Data-Sparse Regions Using Open-Access Geospatial Technology. ISPRS Int. J. Geo-Inf. 2020, 9, 512. https://doi.org/10.3390/ijgi9090512

AMA Style

Ekeu-wei IT, Blackburn GA. Catchment-Scale Flood Modelling in Data-Sparse Regions Using Open-Access Geospatial Technology. ISPRS International Journal of Geo-Information. 2020; 9(9):512. https://doi.org/10.3390/ijgi9090512

Chicago/Turabian Style

Ekeu-wei, Iguniwari T., and George A. Blackburn 2020. "Catchment-Scale Flood Modelling in Data-Sparse Regions Using Open-Access Geospatial Technology" ISPRS International Journal of Geo-Information 9, no. 9: 512. https://doi.org/10.3390/ijgi9090512

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