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Assessment of land cover resolution impact on flood modeling uncertainty.

Authors :
Jihui Fan
Galoie, Majid
Motamedi, Artemis
Jing Huang
Source :
Hydrology Research. Feb2021, Vol. 52 Issue 1, p78-90. 13p.
Publication Year :
2021

Abstract

The main objective of this paper is to evaluate the impact of land cover resolution, in comparison with the digital elevation model (DEM) resolution, on hydrological modeling outputs. Three different basins in the various resolutions of DEM (12.5, 25, 50, 100, 500 and 1,000 m) and land-use maps (250, 1,000 and 2,500 m) were collected in this study, and the hydrological modeling process was performed using the Soil and Water Assessment Tool (SWAT) model. The soil type resolution was 1,000 m for all basins, and the runoff modeling was done based on the Soil Conservation Service Curve Number (SCS-CN) method. The final model outputs showed that the DEM cell size variations affect significantly the topographical characteristics of a catchment such as area, mean slope, river network and time to concentration which alter the flood modeling outputs especially in hilly watersheds (mean slope more than 15%) up to 15% for a DEM cell size of 1,000 m in comparison to 12.5 m. Also, the resolution and spatial distribution of land cover maps which directly specify SCS-CN values, can change the output simulated runoff results up to 49% for a land cover cell size of 2,500 m in comparison to 250 m. These results indicated that the quality of the land cover map is more important than the quality of DEM in hydrological modeling. Also, the results showed that for an identical land-use cell size, the differences between model outputs using DEM cell sizes less than 100 m were not very significant. Furthermore, in all models by increasing the DEM cell size, the simulated runoff depth was decreased. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19989563
Volume :
52
Issue :
1
Database :
Academic Search Index
Journal :
Hydrology Research
Publication Type :
Academic Journal
Accession number :
148921213
Full Text :
https://doi.org/10.2166/nh.2020.043