Delineation of flood-prone areas using modified topographic index for a river basin

Author:

Nagesh Kumar D.1,Shastry Apoorva R.2,Srinivasa Raju K.2

Affiliation:

1. Department of Civil Engineering, Indian Institute of Science, Bangalore 560 012, India

2. Department of Civil Engineering, Birla Institute of Technology and Science, Pilani-Hyderabad Campus, Hyderabad 500 078, India

Abstract

Abstract The modified topographic index () based on digital elevation models (DEMs) was employed to delineate flood-prone areas in Mahanadi basin, India. and flood inundation maps were compared to obtain the threshold () beyond which the area is assumed to be inundated by flood and the exponent of the . Scale dependence was also investigated to evaluate the sensitiveness of spatial resolution of the DEMs. DEMs of five resolutions, namely, ASTER global, SRTM, GMTED2010 (30 arc-seconds), GMTED 2010 (15 arc-seconds), and GMTED 2010 (7.5 arc-seconds), were used and ASTER global was preferred due to its low error compared to the remainder. Flood frequency analysis was conducted to obtain the relationship between flood-prone areas and flood magnitude. It was observed that (i) the exponent in the showed little variation, (ii) is reduced with reducing spatial resolution of the DEM, and (iii) error is also reduced as the DEMs' resolution is reduced.

Funder

Council of Scientific and Industrial Research, India

Publisher

IWA Publishing

Subject

Management, Monitoring, Policy and Law,Environmental Science (miscellaneous),Water Science and Technology

Reference39 articles.

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2. Baliarsingh F. 2000 Long-term and Short-Term Optimal Reservoir Operation for Flood Control. PhD thesis, Indian Institute of Technology, Kharagpur, India.

3. Regional flood frequency analysis of North-bank of the River Brahmaputra by using LH-moments;Water Resour. Manage.,2010

4. Geomorphometric delineation of floodplains and terraces from objectively defined topographic thresholds;Earth Surf. Dyn.,2017

5. Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping;J. Hydrol.,2009

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