Identification of Inundation Hazard Zones in Manas Basin, China, Using Hydrodynamic Modeling and Remote Sensing

Like Ning, Hailong Liu, Anming Bao

Water Resources and Architectural Engineering College of Shihezi University, Shihezi, China.
Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China.

DOI: 10.4236/jwarp.2013.54046                

Abstract

A two-dimensional hydrodynamic model, Floodarea was applied to simulate the flood inundation area and flood depth in Manas basin, China. Two scenes of Landsat TM images were also used in this research. One image was used to produce the spatial distributed manning roughness to feed the model, the other one was used to delineate the actual inundated area by a modified NDWI method. The model and the manning roughness were validated by the comparison of simulated flood inundation extent and the corresponding actual inundated area obtained from Landsat image. The results show that the actual inundation extent obtained from Landsat image was 240.45 km², and the modeled inundation area was276.15 km². It indicates that manning roughness ranging from 0.025 to 0.833 is appropriate in the basin. In addition, the modeled flood depth varied from 0 to7.77 m. Taking land use into account, five hazard zones were identified in the study area. This study would be beneficial to flood control and disaster reduction.

Keywords

Flood Inundation; Floodarea; Remote Sensing; Modified NDWI

Conflicts of Interest

The authors declare no conflicts of interest.

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