Analysing the role of AHP model to identify flood hazard zonation in a coastal island, India

PK Roy, A Ghosh, SK Basak, S Mohinuddin… - Journal of the Indian …, 2023 - Springer
Although floods are blessed by nature, they create disaster and terror in the lives of the
people. From a geographical point of view, it has been observed that most of the world's …

Prediction of flash flood susceptibility of hilly terrain using deep neural network: A case study of Vietnam

H Thi Thanh Ngo, N Duc Dam, QA Thi Bui… - … -Computer Modeling in …, 2023 - diva-portal.org
Flash floods are one of the most dangerous natural disasters, especially in hilly terrain,
causing loss of life, property, and infrastructures and sudden disruption of traffic. These types …

Flood susceptibility mapping using ANNs: a case study in model generalization and accuracy from Ontario, Canada

R Khalid, UT Khan - Geocarto International, 2024 - Taylor & Francis
Accurate flood susceptibility mapping (FSM) is critical for mitigating the environmental, social
and economic consequences of floods. The influence of model generalizability onto new …

Flash-flood susceptibility modelling in a data-scarce region using a novel hybrid approach and trend analysis of precipitation

MS Rana, C Mahanta - Hydrological Sciences Journal, 2023 - Taylor & Francis
Recently, the incidence of heavy rainfall events and associated flash floods have
encouraged us to investigate long-term trends in extreme rainfall and flash flood …

Spatial Prediction of Flood in Kuala Lumpur City of Malaysia Using Logistic Regression

A Tella, MRU Mustafa… - … Archives of the …, 2023 - isprs-archives.copernicus.org
Flooding is one of the most prevalent natural disasters affecting people worldwide. Flooding
is a devastating natural disaster in Malaysia regarding the number of people affected …

[HTML][HTML] Urban Flash flood prediction modelling using probabilistic and statistical approaches

P Saha, R Mitra, J Das, DK Mandal - Results in Earth Sciences, 2024 - Elsevier
The development of a detailed strategy to mitigate the negative consequences of any natural
calamities depends on accurately identifying sensitive zones where natural hazards …

Developing Flood Risk Zones during an Extreme Rain Event from the Perspective of Social Insurance Management

S PC, K Hirano, K Iwanami - Sustainability, 2023 - mdpi.com
Recently, Japan has been hit by more frequent and severe rainstorms and floods. Typhoon
Hagibis caused heavy flooding in many river basins in central and eastern Japan from 12 …

A Kernelized Classification Approach for Cancer Recognition Using Markovian Analysis of DNA Structure Patterns as Feature Mining

V Kalal, BK Jha - Cell Biochemistry and Biophysics, 2024 - Springer
Nucleotide-based molecules called DNA and RNA are essential for several biological
processes that affect both normal and cancerous cells. They contain the critical genetic …

Pluvial Flood Susceptibility in the Local Community of the City of Gospić (Croatia)

S Šiljeg, R Milošević, M Mamut - Sustainability, 2024 - mdpi.com
Pluvial flooding (PF), resulting from intense short-duration rainfall events, is challenging in
urban areas amidst climate change and rapid urbanization. Identifying flood-prone zones …

Application of soft computing models with input vectors of snow cover area in addition to hydro-climatic data to predict the sediment loads

WU Hussan, M Khurram Shahzad, F Seidel… - Water, 2020 - mdpi.com
The accurate estimate of sediment load is important for management of the river ecosystem,
designing of water infrastructures, and planning of reservoir operations. The direct …