Yogesh Kumar Singh
(Emerging Solutions & e-Governance Group, Center for Development of Advanced Computing (C-DAC), Pune 411008, India)
Upasana Dutta
(Emerging Solutions & e-Governance Group, Center for Development of Advanced Computing (C-DAC), Pune 411008, India)
T. S. Murugesh Prabhu
(Emerging Solutions & e-Governance Group, Center for Development of Advanced Computing (C-DAC), Pune 411008, India)
I. Prabu
(Emerging Solutions & e-Governance Group, Center for Development of Advanced Computing (C-DAC), Pune 411008, India)
Jitendra Mhatre
(Emerging Solutions & e-Governance Group, Center for Development of Advanced Computing (C-DAC), Pune 411008, India)
Manoj Khare
(Emerging Solutions & e-Governance Group, Center for Development of Advanced Computing (C-DAC), Pune 411008, India)
Sandeep Srivastava
(Emerging Solutions & e-Governance Group, Center for Development of Advanced Computing (C-DAC), Pune 411008, India)
Subasisha Dutta
(Civil Engineering Department, Indian Institute of Technology, Guwahati 781039, India)
Journal: Hydrology
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• MDPI AG
• ISSN: 2306-5338
Abstract
Flood Response System (FRS) is a network-enabled solution developed using open-source software. The system has query based flood damage assessment modules with outputs in the form of spatial maps and statistical databases. FRS effectively facilitates the management of post-disaster activities caused due to flood, like displaying spatial maps of area affected, inundated roads, etc., and maintains a steady flow of information at all levels with different access rights depending upon the criticality of the information. It is designed to facilitate users in managing information related to flooding during critical flood seasons and analyzing the extent of damage. The inputs to FRS are provided using two components: (1) a semi-automated application developed indigenously, to delineate inundated areas for Near-Real Time Flood Monitoring using Active Microwave Remote Sensing data and (2) a two-dimensional (2D) hydrodynamic river model generated outputs for water depth and velocity in flooded areas for an embankment breach scenario. The 2D Hydrodynamic model, CCHE2D (Center for Computational Hydroscience and Engineering Two-Dimensional model), was used to simulate an area of 600 km2 in the flood-prone zone of the Brahmaputra basin. The resultant inundated area from the model was found to be 85% accurate when validated with post-flood optical satellite data.
Yogesh Kumar Singh, Upasana Dutta, T. S. Murugesh Prabhu, et al. (2017). "Flood Response System—A Case Study". Hydrology. https://doi.org/10.3390/hydrology4020030