DOI: 10.1007/s11069-020-04392-z
论文题名: Hydrodynamic modelling and vulnerability analysis to assess flood risk in a dense Indian city using geospatial techniques
作者: Bhattacharjee S. ; Kumar P. ; Thakur P.K. ; Gupta K.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 105, 期: 2 起始页码: 2117
结束页码: 2145
语种: 英语
中文关键词: Hazard
; Risk assessment
; SWMM
; Urban flood
英文关键词: flooding
; hazard management
; hydrodynamics
; hydrological modeling
; image resolution
; lidar
; remote sensing
; risk assessment
; runoff
; satellite data
; socioeconomic conditions
; urban area
; vulnerability
; Bhubaneswar
; India
; Odisha
英文摘要: Urban flooding and waterlogging are causing menace in many cities around the world from the perspective of day-to-day functioning, health and hygiene, communication, and the consequent damages they cause to urban environment. The present study is an attempt to understand the urban flood risks in parts of Bhubaneswar City, India, based on its hydrodynamic set-up and level of urbanisation. The Storm Water Management Model is used for peak flow analysis, and the flooding extent has been assessed while taking into consideration the elevation, slope, land use/land cover (LULC) and design Storm Water Drain (SWD) infrastructure of the city. The micro-watersheds for each SWD are delineated using digital surface model derived from airborne Light Detection and Ranging (LiDAR) data (1 m), and the LULC information is obtained from high-resolution optical remote sensing data. After the model simulation, it is estimated that peak runoff is relatively higher, i.e. 0.1–0.5 cumecs for a large number of micro-watersheds, even rising to more than 1.5 cumecs for some, indicating the severity of urban floods in the city. After integrating the simulated flooding pattern with the vulnerability associated with socio-economic characteristics of urban dwellers, the flood risk has been assessed. The study suggests that capacity of design SWD systems needs augmentation according to present and predicted flooding conditions for the city. © 2020, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168919
Appears in Collections: 气候变化与战略
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作者单位: Department of Civil Engineering, Indian Institute of Technology, Guwahati, India; Urban and Regional Studies Department, Indian Institute of Remote Sensing, Dehradun, India; Water Resources Department, Indian Institute of Remote Sensing, Dehradun, India
Recommended Citation:
Bhattacharjee S.,Kumar P.,Thakur P.K.,et al. Hydrodynamic modelling and vulnerability analysis to assess flood risk in a dense Indian city using geospatial techniques[J]. Natural Hazards,2021-01-01,105(2)