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DOI10.1007/s11069-020-04392-z
Hydrodynamic modelling and vulnerability analysis to assess flood risk in a dense Indian city using geospatial techniques
Bhattacharjee S.; Kumar P.; Thakur P.K.; Gupta K.
发表日期2021
ISSN0921030X
起始页码2117
结束页码2145
卷号105期号:2
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.
关键词HazardRisk assessmentSWMMUrban 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
语种英语
来源期刊Natural Hazards
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/206120
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
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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],2021,105(2).
APA Bhattacharjee S.,Kumar P.,Thakur P.K.,&Gupta K..(2021).Hydrodynamic modelling and vulnerability analysis to assess flood risk in a dense Indian city using geospatial techniques.Natural Hazards,105(2).
MLA Bhattacharjee S.,et al."Hydrodynamic modelling and vulnerability analysis to assess flood risk in a dense Indian city using geospatial techniques".Natural Hazards 105.2(2021).
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