[HTML][HTML] Dynamic risk assessment of waterlogging disaster to spring peanut (Arachis hypogaea L.) in Henan Province, China

C Liu, K Li, J Zhang, S Guga, R Wang, X Liu… - Agricultural Water …, 2023 - Elsevier
In recent years, global warming has led to frequent waterlogging disaster (WLD), hindering
the normal growth and development of crops, affecting the sustainable development of the …

[HTML][HTML] Towards integrated multi-risk reduction strategies: A catalog of flood and earthquake risk mitigation measures at the building and neighborhood scales

A FathiAzar, S De Angeli, S Cattari - International Journal of Disaster Risk …, 2024 - Elsevier
The integration of risk reduction measures for earthquakes and floods is a promising
concept in the field of multi-hazard disaster risk reduction. However, existing studies mostly …

An objective methodology for waterlogging risk assessment based on the entropy weighting method and machine learning

A Bezdan, J Bezdan, M Marković, D Mirčetić… - Catena, 2025 - Elsevier
Waterlogging disasters are one of the most severe and widespread agricultural
meteorological disasters. They affect about 15% of land surface globally, causing a …

Strategies for Humanitarian Logistics and Supply Chain in Organizational Contexts: Pre-and Post-Disaster Management Perspectives

A Aghsami, S Sharififar, N Markazi Moghaddam… - Systems, 2024 - mdpi.com
Every organization typically comprises various internal components, including regional
branches, operations centers/field offices, major transportation hubs, and operational units …

Bibliometric Study: Rainfall Classification-Prediction using Machine Learning Methods

OS Riza, A Nuryadi - Digital Zone: Jurnal Teknologi Informasi …, 2023 - journal.unilak.ac.id
This Research aims to review the machine learning methods used for classifying or
predicting rainfall, using various features from existing data. The study used a bibliometric …

Effect of urbanization on surface runoff and performance of green roofs and permeable pavement for mitigating urban floods

Ş Öztürk, K Yılmaz, AE Dinçer, V Kalpakcı - Natural Hazards, 2024 - Springer
Floods are increasingly becoming a significant concern due to climate change, global
warming, and excessive urbanization. The Intergovernmental Panel on Climate Change …

Long-term monitoring of active large-scale landslides for non-structural risk mitigation-integrated sensors and web-based platform

FT Catelan, G Bossi, L Schenato, M Tondo… - Journal of Mountain …, 2025 - Springer
Large-scale deep-seated landslides pose a significant threat to human life and
infrastructure. Therefore, closely monitoring these landslides is crucial for assessing and …

Contribution of Disaster Response Team in Assisting Natural Disaster Mitigation in Cianjur

H Lumbantobing, ADW Sidik… - Jurnal Pengabdian …, 2023 - jppmi.ptti.web.id
This article discusses the contribution of the natural disaster response team in assisting with
natural disaster mitigation in Cianjur. The disaster response team consists of several experts …

Flood Risk Management Using HecRAS Model for the Planning of Artificial

S Chourushi, PP Lodha, I Prakash - Advances in Water Treatment …, 2024 - books.google.com
A flood is a natural phenomenon that occurs mostly during the monsoon season in river
basins and lakes due to rise of water levels. Overtop** of the banks of water bodies …

Flood Risk Management Using HecRAS Model for the Planning of Artificial Levees as a Structural Measure: A Case Study of Upper Sabarmati River Basin, Gujarat …

S Chourushi, PP Lodha, I Prakash - … on Advances in Water Treatment and …, 2023 - Springer
Floods are among the most devastating natural phenomena, causing significant loss of life,
damage to property and infrastructure, and affecting the socioeconomic conditions of …