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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/24793
Title: Regionalized Design Rainfall Estimation: an Appraisal of Inundation Mapping for Flood Management Under Data-Scarce Situations
Authors: Prakash Mohanty, MohitP.
Sherly M.A.
Karmakar S.
Ghosh S.
Published in: Water Resources Management
Abstract: Availability of regionalized design rainfall is crucial for flood modeling, particularly over the regions with sparse raingauge networks. This study proposes a new comprehensive framework for generating regionalized design rainfall time series for data-poor catchments involving non-linear and non-parametric optimization approaches. A large set of parametric and non-parametric families of distribution were considered for multivariate rainfall frequency analysis using at-site station data, while a unique design temporal pattern over the region was derived by quantifying the flood causing potential of design hyetographs. The regionalized design rainfall time series was used as one of the inputs to a two-dimensional (2D) flood model. The accuracy and performance of the derived regionalized design rainfall for flood inundation modeling were evaluated by comparing with those derived from different spatial interpolation methods. There was a high consensus of the former with those of widely used kriging and spline interpolation methods. A severely flood-prone and data-poor (no raingauge available within study area) large coastal catchment lying along the coast of the Bay of Bengal, India, was chosen for a demonstration of the proposed framework. The study showed that the framework can be used for extreme events arising due to floods, even under changing climatic scenarios. It further invokes the necessity for incorporating the proposed framework into various commercially and freely available flood models along with other existing interpolation techniques to support improved flood management. © 2018, Springer Nature B.V.
Citation: Water Resources Management, 32(14): 4725-4746
URI: https://doi.org/10.1007/s11269-018-2080-8
http://repository.iitr.ac.in/handle/123456789/24793
Issue Date: 2018
Publisher: Springer Netherlands
Keywords: Flood management
Multivariate rainfall frequency analysis
Regionalized design rainfall time series
Spatial interpolation methods
Two-dimensional flood model
ISSN: 9204741
Author Scopus IDs: 57203633749
56816964100
13805286500
10341128500
Author Affiliations: Mohanty, M.P., Centre for Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India
Sherly, M.A., IITB-Monash Research Academy, Mumbai, India
Karmakar, S., Centre for Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai, 400076, India, Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai, India, Centre for Urban Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India
Ghosh, S., Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai, India, Centre for Urban Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India, Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, India
Funding Details: Acknowledgements The work presented here is supported financially by ISRO-IIT (B)-Space Technology Cell (STC) through a sponsored project (No. 14ISROC009). Authors sincerely thank the India Meteorological Department (IMD) Pune, for providing at-site hourly rainfall data for the 3 stations considered in the study. The authors also thank National Remote Sensing Centre (NRSC), Hyderabad; Department of Water Resources (DoWR), Govt. of Odisha; and Odisha Space Applications Centre (ORSAC), Odisha, for providing relevant data for carrying out the research. The authors are grateful to Mr. G. Srinivasa Rao, NRSC and Mr. C. M Bhatt, NRSC, for allowing the access to LiDAR DEM and MIKE 21 model. The authors thank Mr. Aditya Gusain, Centre for Environmental Science and Engineering (CESE), IIT Bombay for his help in obtaining data from IMD, Pune. The support towards computational resources has been provided by IIT Bombay. 14ISROC009; Department of Water Resources, DWR; Indian Institute of Technology Bombay, IITB
Corresponding Author: Karmakar, S.; Centre for Environmental Science and Engineering, India; email: skarmakar@iitb.ac.in
Appears in Collections:Journal Publications [WR]

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