[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 …

Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft …

C Madhushani, K Dananjaya, IU Ekanayake… - Journal of …, 2024 - Elsevier
Streamflow forecasting is essential for effective water resource planning and early warning
systems. Streamflow and related parameters are often characterized by uncertainties and …

[HTML][HTML] An integration of geospatial and fuzzy-logic techniques for multi-hazard mapping

M Gohil, D Mehta, M Shaikh - Results in Engineering, 2024 - Elsevier
A hazard is a natural occurrence that might harm humans, animals or the environment. It
may cause loss of life, illness or other health consequences, property damage, social and …

[HTML][HTML] Comparative analysis of data driven rainfall-runoff models in the Kolar river basin

DK Tiwari, V Kumar, A Goyal, KM Khedher… - Results in …, 2024 - Elsevier
To effectively tackle the challenges posed by climate change, it is crucial to enhance the
accuracy of rainfall-runoff models to ensure reliability amidst changing climatic conditions …

[HTML][HTML] Floodwaters and vehicle hydrodynamics: A deep dive into risk mitigation unraveling vehicle stability in floods

E Al-Qadami, MAM Razi, SMH Shah, JH Pu… - Results in …, 2024 - Elsevier
Vehicles are frequently impacted objects during floods, susceptible to being washed away
when the flow velocity and water depth surpass specific thresholds. Thus, understanding the …

[HTML][HTML] A data-driven approach to river discharge forecasting in the Himalayan region: Insights from Aglar and Paligaad rivers

V Kumar, S Unal, SK Bhagat, T Tiyasha - Results in Engineering, 2024 - Elsevier
This study aims to better understand the time series forecasting of Aglar and Paligaad rivers'
discharge (which has a significant impact on the Himalayan river) using advanced time …

[HTML][HTML] River stream flow prediction through advanced machine learning models for enhanced accuracy

N Kedam, DK Tiwari, V Kumar, KM Khedher… - Results in …, 2024 - Elsevier
Abstract The Narmada River basin, a significant water resource in central India, plays a
crucial role in supporting agricultural, industrial, and domestic water supply. Effective …

Assessing impact of nature based solutions on peak flow using HEC-HMS

DS Agarwal, A Bharat, TR Kjeldsen… - Water Resources …, 2024 - Springer
The objective of the study is to explore and assess the potential of Nature based Solutions
(NbS) to mitigate the peak discharge rate in Banas River catchment, India. Dynamic …

Evidencing anthropogenic pollution of surface waters in a tropical region: a case study of the Culiacan River basin

YA Bustos-Terrones, JG Loaiza… - Environmental …, 2024 - Springer
Nowadays, one of the most critical challenges is reduced access to water. Climate change,
industrialization, and population growth have caused many countries to suffer from water …

Proposal of a flood damage road detection method based on deep learning and elevation data

J Sakamoto - Geomatics, Natural Hazards and Risk, 2024 - Taylor & Francis
Identifying an inundation area after a flood event is essential for planning emergency rescue
operations. In this study, we propose a method to automatically determine inundated road …