[HTML][HTML] A systematic review of trustworthy artificial intelligence applications in natural disasters

AS Albahri, YL Khaleel, MA Habeeb, RD Ismael… - Computers and …, 2024 - Elsevier
Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

[HTML][HTML] The influencing factors and mechanisms for urban flood resilience in China: From the perspective of social-economic-natural complex ecosystem

S Zhu, D Li, H Feng, N Zhang - Ecological Indicators, 2023 - Elsevier
Urban flood is one of the most frequent and deadly natural disasters in the world, seriously
affecting urban sustainability and people's well-being in China. As the largest developing …

An integrated artificial intelligence of things environment for river flood prevention

Z Boulouard, M Ouaissa, M Ouaissa, F Siddiqui… - Sensors, 2022 - mdpi.com
River floods are listed among the natural disasters that can directly influence different
aspects of life, ranging from human lives, to economy, infrastructure, agriculture, etc …

[PDF][PDF] Machine learning based prediction of urban flood susceptibility from selected rivers in a tropical catchment area

BN Ekwueme - Civil Engineering Journal, 2022 - researchgate.net
Unexpected flood due to climate change has caused tremendous damage to both lives and
properties, especially in tropical areas. Nigeria Southeastern region has been devastated by …

[HTML][HTML] Circular homes–An energy-water-materials nexus for community climate engagement and action at grassroots level in the built environment

M Gooroochurn - Results in Engineering, 2022 - Elsevier
The crucial element of community engagement has been recognised as a success factor in
the conception and dispensing of climate solutions, but consists in itself of complex factors to …

[HTML][HTML] Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model

R Al-Ruzouq, A Shanableh, R Jena, MBA Gibril… - Geoscience …, 2024 - Elsevier
Flash floods (FFs) are amongst the most devastating hazards in arid regions in response to
climate change and can cause the loss of agricultural land, human lives and infrastructure …

GIS-based Risk assessment of structure attributes in flood zones of Odiongan, Romblon, Philippines

JG Gacu, CEF Monjardin, KLM de Jesus, DB Senoro - Buildings, 2023 - mdpi.com
Flood triggered by heavy rains and typhoons leads to extensive damage to land and
structures putting rural communities in crucial condition. Most of the studies on risk …

Flood hazard risk assessment based on multi-criteria spatial analysis GIS as input for spatial planning policies in Tegal Regency, Indonesia

AW Sejati, SNAK Putri, S Rahayu, I Buchori… - Geographica …, 2023 - aseestant.ceon.rs
Recent discussions on flood disasters concern the risk factors and causes between nature
and anthropogenic activities. This disaster requires serious handling, which needs to be …

Characteristics and drivers of flooding in recently built urban infrastructure during extreme rainfall

C Fan, J Hou, D Li, G Chen, B Guan, T Wang, L Pinpin… - Urban Climate, 2024 - Elsevier
With the increasing frequency of extreme rainfall events in urban areas, the risk of flooding to
urban infrastructure is on the rise. It is crucial to systematically elucidate the response of …

[HTML][HTML] A comprehensive framework for assessing the spatial drivers of flood disasters using an optimal Parameter-based geographical Detector–machine learning …

L Yang, X Ji, M Li, P Yang, W Jiang, L Chen, C Yang… - Geoscience …, 2024 - Elsevier
Flood disasters pose serious threats to human life and property worldwide. Exploring the
spatial drivers of flood disasters on a macroscopic scale is of great significance for mitigating …