Toward an integrated disaster management approach: how artificial intelligence can boost disaster management

SK Abid, N Sulaiman, SW Chan, U Nazir, M Abid… - Sustainability, 2021 - mdpi.com
Technical and methodological enhancement of hazards and disaster research is identified
as a critical question in disaster management. Artificial intelligence (AI) applications, such as …

A systematic review of the flood vulnerability using geographic information system

SW Chan, SK Abid, N Sulaiman, U Nazir, K Azam - Heliyon, 2022 - cell.com
The world has faced many disasters in recent years, but flood impacts have gained immense
importance and attention due to their adverse effects. More than half of global flood …

[HTML][HTML] Flash flood detection and susceptibility mapping in the Monsoon period by integration of optical and radar satellite imagery using an improvement of a …

SV Razavi-Termeh, MB Seo, A Sadeghi-Niaraki… - Weather and Climate …, 2023 - Elsevier
Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

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 …

A raster-based spatial clustering method with robustness to spatial outliers

H Wang, C Song, J Wang, P Gao - Scientific Reports, 2024 - nature.com
Spatial clustering is an essential method for the comprehensive understanding of a region.
Spatial clustering divides all spatial units into different clusters. The attributes of each cluster …

Assessment of rural vulnerability to sand and dust storms in Iran

A Darvishi Boloorani, M Soleimani, N Neysani Samany… - Atmosphere, 2023 - mdpi.com
Climate-related hazards such as sand and dust storms (SDS) have various impacts on
human health, socio-economy, environment, and agroecosystems. Iran has been severely …

The multi-scale spatial heterogeneity of ecosystem services' supply–demand matching and its influencing factors on urban green space in China

W Zhao, X Li, L Zhang, L Peng, Y Liu, Z Wang, L Jiao… - Forests, 2023 - mdpi.com
As population growth and urbanization continue to accelerate, city dwellers are increasingly
conscious of the demand for urban green space (UGS) and the ecosystem services (ESs) it …

Economic, social, and ecological impact evaluation of traffic network in Beijing–Tianjin–Hebei urban agglomeration based on the entropy weight TOPSIS method

L Zhang, X Zhang, S Yuan, K Wang - Sustainability, 2021 - mdpi.com
In recent years, with the rapid development of urban transportation network in China, many
problems have been exposed, especially in the Beijing–Tianjin–Hebei (BTH) region. Under …

Health hazard scenarios in Italy after the COVID-19 outbreak: a methodological proposal

B Murgante, G Balletto, G Borruso, L Saganeiti… - Scienze …, 2021 - rivisteweb.it
The health emergency (COVID-19) in Italy had a great impact mainly in the Northern part.
The geographical and environmental similarities observed between this area and the …

A methodological proposal to evaluate the health hazard scenario from COVID-19 in Italy

B Murgante, G Balletto, G Borruso, L Saganeiti… - Environmental …, 2022 - Elsevier
Abstract 2019 Coronavirus disease (COVID-19) had a big impact in Italy, mainly
concentrated in the northern part of the Country. All this was mainly due to similarities of this …