Interaction of climate change and marine pollution in Southern India: Implications for coastal zone management practices and policies

S Lincoln, P Chowdhury, PE Posen, RS Robin… - Science of the Total …, 2023 - Elsevier
Climate change and marine litter are inextricably linked, and their interaction manifests
differently depending on the specific environmental and biological characteristics, and other …

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 …

The 2018 Kerala floods: a climate change perspective

KMR Hunt, A Menon - Climate Dynamics, 2020 - Springer
Abstract In August 2018, the Indian state of Kerala received an extended period of very
heavy rainfall as a result of a low-pressure system near the beginning of the month being …

A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India

R Mitra, J Das - Environmental Science and Pollution Research, 2023 - Springer
Abstract In the Sub-Himalayan foothills region of eastern India, floods are considered the
most powerful annually occurring natural disaster, which cause severe losses to the socio …

Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin, India

S Das, A Gupta - Geoscience Frontiers, 2021 - Elsevier
Abstract The Subarnarekha River in east India experiences frequent high magnitude
flooding in monsoon season. In this study, we present an in-depth analysis of flood …

[HTML][HTML] The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment

D Feng, H Beck, K Lawson… - Hydrology and Earth …, 2023 - hess.copernicus.org
As a genre of physics-informed machine learning, differentiable process-based hydrologic
models (abbreviated as δ or delta models) with regionalized deep-network-based …

[HTML][HTML] Flood hazards and susceptibility detection for Ganga river, Bihar state, India: Employment of remote sensing and statistical approaches

ZM Yaseen - Results in Engineering, 2024 - Elsevier
Climate change and flooding are related issues on the Earth's surface, while numerous
lowland areas, especially delta regions, are mostly affected by flood hazards. Hence, flood …

[HTML][HTML] An assessment of long-term changes in mortalities due to extreme weather events in India: A study of 50 years' data, 1970–2019

K Ray, RK Giri, SS Ray, AP Dimri… - Weather and Climate …, 2021 - Elsevier
In the Indian subcontinent, the annual average extreme weather events (EWEs) are reported
to be increasing during the last few decades. The impact of increased EWEs on mortality has …

How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region

TK Saha, S Pal, S Talukdar, S Debanshi… - Journal of …, 2021 - Elsevier
Although the effect of digital elevation model (DEM) and its spatial resolution on flood
simulation modeling has been well studied, the effect of coarse and finer resolution image …

The role of global data sets for riverine flood risk management at national scales

MV Bernhofen, S Cooper, M Trigg… - Water Resources …, 2022 - Wiley Online Library
Over the last two decades, several data sets have been developed to assess flood risk at the
global scale. In recent years, some of these data sets have become detailed enough to be …