Deep learning in hydrology and water resources disciplines: Concepts, methods, applications, and research directions
KP Tripathy, AK Mishra - Journal of Hydrology, 2023 - Elsevier
Deep Learning (DL) methods have gained significant recognition in hydrology and water
resources applications in recent years. Beginning with a discussion on fundamental …
resources applications in recent years. Beginning with a discussion on fundamental …
[HTML][HTML] A review of recent advances in urban flood research
Due to a changing climate and increased urbanization, an escalation of urban flooding
occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms …
occurrences and its aftereffects are ever more dire. Notably, the frequency of extreme storms …
Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities
As a result of urbanization and climate change, urban areas are increasingly vulnerable to
flooding, which can have devastating effects on the loss of life and property. Remote sensing …
flooding, which can have devastating effects on the loss of life and property. Remote sensing …
Rapid urban flood risk mapping for data-scarce environments using social sensing and region-stable deep neural network
Urban flooding is one of the most widespread natural hazards in modern cities. Risk
mapping provides critical information for flood risk management to reduce life and economic …
mapping provides critical information for flood risk management to reduce life and economic …
Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos
The number and intensity of flood events have been on the rise in many regions of the world.
In some parts of the US, for example, almost all residential properties, transportation …
In some parts of the US, for example, almost all residential properties, transportation …
Quantifying flood risks during monsoon and post-monsoon seasons: An integrated framework for resource-constrained coastal regions
Global coastal regions are transforming into “flooding hot-spots” due to the multi-faceted
confluence of several flood-drivers. Unfortunately, these regions are often poorly gauged …
confluence of several flood-drivers. Unfortunately, these regions are often poorly gauged …
Multiparameter flood hazard, socioeconomic vulnerability and flood risk assessment for densely populated coastal city
In the current study, flood risk assessment of densely populated coastal urban Surat City, on
the bank of the lower Tapi River in India, was conducted by combining the hydrodynamic …
the bank of the lower Tapi River in India, was conducted by combining the hydrodynamic …
Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches
S Duwal, D Liu, PM Pradhan - Geomatics, Natural Hazards and …, 2023 - Taylor & Francis
Abstract The Karnali River Basin (KRB) comprises the longest river in Nepal, located south
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …
Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan
Flooding is a natural but unavoidable disaster that occurs over time. Flooding threatens
human life, property, and resources and affects regional and national economies. Through …
human life, property, and resources and affects regional and national economies. Through …
Characterising the coincidence of soil moisture–precipitation extremes as a possible precursor to European floods
Studies around the world have shown that increases in extreme precipitation are not directly
resulting in reported instances of flooding. Despite the evidence that antecedent soil …
resulting in reported instances of flooding. Despite the evidence that antecedent soil …