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Urban flood vulnerability assessment of Vadodara city using rainfall–run-off simula­tions


Affiliations
1 S. S. Agrawal Institute of Engineering and Technology, Navsari 396 445, India, India
2 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India, India
3 Civil Engineering Department, Faculty of Technology and Engineering, The M. S. University of Baroda, Vadodara 390 001, India, India
 

In this study, we demonstrate an approach for citywide urban flood vulnerability assessment based on the cap­ability of storm-water drainage networks. The daily rainfall data of 45 years were used to generate intensity–duration–frequency curves of 2, 5, 10, 50 and 100-yr return periods. The performance of the storm-water drainage network was subsequently evaluated for each of these probable storms using rainfall–run-off simulations employing the SWMM software of US EPA. The duration of flooding at drainage nodes under storms of different return periods was considered for identifying flood-prone regions in the study city. It was observed that about 21% of the city is currently under high and very high urban flood severity zones
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  • Urban flood vulnerability assessment of Vadodara city using rainfall–run-off simula­tions

Abstract Views: 205  |  PDF Views: 95

Authors

Harsh D. Patel
S. S. Agrawal Institute of Engineering and Technology, Navsari 396 445, India, India
Gaurav V. Jain
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India, India
Suvarna D. Shah
Civil Engineering Department, Faculty of Technology and Engineering, The M. S. University of Baroda, Vadodara 390 001, India, India

Abstract


In this study, we demonstrate an approach for citywide urban flood vulnerability assessment based on the cap­ability of storm-water drainage networks. The daily rainfall data of 45 years were used to generate intensity–duration–frequency curves of 2, 5, 10, 50 and 100-yr return periods. The performance of the storm-water drainage network was subsequently evaluated for each of these probable storms using rainfall–run-off simulations employing the SWMM software of US EPA. The duration of flooding at drainage nodes under storms of different return periods was considered for identifying flood-prone regions in the study city. It was observed that about 21% of the city is currently under high and very high urban flood severity zones

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DOI: https://doi.org/10.18520/cs%2Fv124%2Fi1%2F79-86