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Soumendra Nath Kuiry

Researcher at Indian Institute of Technology Madras

Publications -  37
Citations -  329

Soumendra Nath Kuiry is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Computer science & Storm surge. The author has an hindex of 8, co-authored 28 publications receiving 234 citations. Previous affiliations of Soumendra Nath Kuiry include Indian Institute of Technology Kharagpur & University of Mississippi.

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Assessing the accuracy of high-resolution topographic data generated using freely available packages based on SfM-MVS approach

TL;DR: The extensive accuracy tests show that the dome effect can be mitigated to a great extent using CASE-II dataset due to additional convergent images, and the comparison with the PhotoScan confirms that the proposed workflows can be used for generating high-resolution DEM of large physical models.
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Modelling coastal barrier breaching flows with well-balanced shock-capturing technique

TL;DR: In this article, a wave action spectral model is coupled with a hydrodynamic model for simulating coastal barrier breaching flows through an inlet which are mostly induced by extreme hydrological conditions such as storm/hurricane surges, waves and tides.
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Investigation of Role of Retention Storage in Tanks (Small Water Bodies) on Future Urban Flooding: A Case Study of Chennai City, India

TL;DR: In this article, the authors analyzed the impact of dredging and tank removal on flooding in CMA under historical, urbanization, and extreme rainfall scenarios utilizing an urbanization-hydrologic-hydraulic modelling framework.
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A high-resolution shallow water model using unstructured quadrilateral grids

TL;DR: In this paper, a two-dimensional cell-centred finite volume model for quadrilateral grids is presented, where the solution methodology of the depth-averaged shallow water equations is based upon a Godunov type upwind finite volume formulation, whereby the inviscid fluxes of the system of equations are obtained using the HLL Riemann solver.