Journal article
Vinay Ashok Rangari, K. V. Gopi, U. Nanduri, Roshan M. Bodile
2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 2020
2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 2020
Semantic Scholar
DOI
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APA
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Rangari, V. A., Gopi, K. V., Nanduri, U., & Bodile, R. M. (2020). ANN based Scaling of Rainfall Data for Urban Flood Simulations. 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC).
Chicago/Turabian
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Rangari, Vinay Ashok, K. V. Gopi, U. Nanduri, and Roshan M. Bodile. “ANN Based Scaling of Rainfall Data for Urban Flood Simulations.” 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC) (2020).
MLA
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Rangari, Vinay Ashok, et al. “ANN Based Scaling of Rainfall Data for Urban Flood Simulations.” 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC), 2020.
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@article{vinay2020a,
title = {ANN based Scaling of Rainfall Data for Urban Flood Simulations},
year = {2020},
journal = {2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC)},
author = {Rangari, Vinay Ashok and Gopi, K. V. and Nanduri, U. and Bodile, Roshan M.}
}
Abstract
Lately, many cities in India reported sequential urban flood events due to uncontrolled and unplanned urbanization along with climate change. Kerala (2018), Hyderabad (2016, 2000), Chennai (2015, 2004), Srinagar (2014), Guwahati (2010), Delhi (2009, 2002, 2003), Surat (2006), Mumbai (2005) are some of the notable flood events amongst them. Urban flood events are associated with localized direct rainfall producing a quick response from altered urban catchments. The flooding often takes place with little warning and very unpredictable in nature. Thus modeling such events becomes a complex and time-consuming process and poses a challenge to disaster managers and environmental scientists. Furthermore, the accuracy of the urban flood model relies on the availability of short term rainfall data which is not available at most locations. In this study, the hourly precipitation data of Hyderabad city is scaled down using Artificial Neural Networks (ANN). A flood modeling software HEC-RAS 2-d is used to simulate scaled rainfall data and flood-prone zones are identified for part of Hyderabad city.