Flood management in India: A focussed review on the current status and future challenges

MP Mohanty, S Mudgil, S Karmakar - International Journal of Disaster Risk …, 2020 - Elsevier
Despite massive investments and continuous flood-control efforts in India, the socio-
economic damages and death toll continue to remain high. Undoubtedly, the process of …

On the need of ensemble flood forecast in India

JS Nanditha, V Mishra - Water Security, 2021 - Elsevier
Floods affect a large fraction of the Indian population during the monsoon (June-September)
every year. Floods disrupt all aspects of the socio-economic conditions and cause enormous …

Flood forecasting system based on integrated big and crowdsource data by using machine learning techniques

S Puttinaovarat, P Horkaew - IEEE Access, 2020 - ieeexplore.ieee.org
Flood is one of the most disruptive natural hazards, responsible for loss of lives and damage
to properties. A number of cities are subject to monsoons influences and hence face the …

Urban flood hazard assessment and management practices in south asia: a review

B Manandhar, S Cui, L Wang, S Shrestha - Land, 2023 - mdpi.com
Urban flooding is a frequent disaster in cities. With the increasing imperviousness caused by
rapid urbanization and the rising frequency and severity of extreme events caused by …

Assessing flood early warning systems for flash floods

MJ Henao Salgado, J Zambrano Nájera - Frontiers in Climate, 2022 - frontiersin.org
Flash floods are an increasing concern, especially in regions with abrupt topography and
small areas where floods are rapid and energy-filled. That is the case of the El Guamo …

A flood forecasting framework coupling a high resolution WRF ensemble with an urban hydrologic model

S Davis, L Pentakota, N Saptarishy… - Frontiers in Earth …, 2022 - frontiersin.org
Numerical weather prediction (NWP) models such as the Weather Research and
Forecasting (WRF) model are increasingly used over the Indian region to forecast extreme …

Quantile mapping bias correction methods to IMDAA reanalysis for calibrating NCMRWF unified model operational forecasts

K Niranjan Kumar, MS Thota, R Ashrit… - Hydrological …, 2022 - Taylor & Francis
This study focuses on assessing different quantile mapping (QM) bias correction
approaches based on empirical and parametric methods to bias-correct the Indian Monsoon …

Local-inertial shallow water model on unstructured triangular grids

B Sridharan, PD Bates, D Sen, SN Kuiry - Advances in Water Resources, 2021 - Elsevier
Two-dimensional shallow water models are widely used for flood risk assessment.
Application of these models to large-scale urban areas significantly increases the …

Investigation of role of retention storage in tanks (small water bodies) on future urban flooding: a case study of Chennai City, India

N Nithila Devi, B Sridharan, VM Bindhu, B Narasimhan… - Water, 2020 - mdpi.com
The Adyar River flowing through Chennai Metropolitan Area (CMA) in Southern India
functions as a surplus course of upstream water bodies that are locally known as tanks …

A comparison of two statistical postprocessing methods for heavy‐precipitation forecasts over India during the summer monsoon

M Angus, M Widmann, A Orr, R Ashrit… - Quarterly Journal of …, 2024 - Wiley Online Library
Accurate ensemble forecasts of heavy precipitation in India are vital for many applications
and essential for early warning of damaging flood events, especially during the monsoon …