Citation

Singh P, Sinha VSP, Vijhani A, Pahuja N. Int. J. Disaster Risk Reduct. 2018; 28: 237-250.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.ijdrr.2018.03.017

PMID

unavailable

Abstract

Flood and flood-related problems have become more rampant all over the world leading to loss of life, infrastructure damage, and epidemics every year. There are evidences in recent years where heavy precipitation events have resulted in severe detrimental floods in India. A number of major cities in India have reported a series of devastating floods in the recent decade. The immediate impact of floods specifically in urban areas is on the transport system. Most of the studies on transport vulnerability consider topographic properties along with supply and demand side of transport system to access the disruption; but less attention is given to the potential impacts of weather extremes on the performance of transportation network. In response to that, this study aims to provide a framework to assess the vulnerability of urban road network due to floods. An integrated framework linking meteorological information, land use functions, and hydrodynamic model with safety speed function is used to relate flood depth to reduction in speed in order to determine road network vulnerability. Two rainfall events with 1-in-10 year and 1-in-100 year return period were simulated for inundation mapping over road network and spatial vulnerability of road network was assessed. A critical map and index is developed to identify affected road length vulnerable to flood. It has been observed that more than 40% of road length across the network becomes immovable for 1-in-100 year rainfall event. Also, there is a significant decrease in average maximum speed in each road category corresponding to its normal.

Language: en

Keywords

Flood mapping; Gumbel distribution; MIKE 21; Road Network Vulnerability; Urban Flood