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International Journal of Disaster Risk Science

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JOURNAL INFORMATION
Publisher Springer Science + Business Media
Open Access YES
Quartile Q1
Citation Count 793
P-ISSN 2192-6395
E-ISSN 2095-0055
Categories Geography, Planning and Development, Management, Monitoring, Policy and Law
Area Environmental Science, Social Sciences
Region Northern America
Country United States
Summary

  1. International Journal of Disaster Risk Science is published by Springer Science + Business Media
  2. It is an oppen access journal
  3. The Subject Area : Environmental Science; Social Sciences

Latest Articles published

Last updated: 24/11/2024

A Convolutional Neural Network-Weighted Cellular Automaton Model for the Fast Prediction of Urban Pluvial Flooding Processes


Last updated: 24/11/2024

Exploring Key Capacities: Insights from Assessing the Resilience of the Public Health System Before and After the Kahramanmaraş Earthquakes


Last updated: 24/11/2024

Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code


Last updated: 24/11/2024

Use of Standard Operating Procedures for Supporting Cross-Organizational Emergency Management: Challenges and Opportunities Identified from a Tabletop Exercise


Last updated: 24/11/2024

Significant Association Between Arctic Oscillation and Winter Wildfires in Southern China


Last updated: 24/11/2024

Comparative Analysis of Tsunami Casualty Estimation Approaches: Agent-Based Modeling versus Simplified Approach in Japanese Coastal Cities


Last updated: 24/11/2024

Evaluating Factors Affecting Flood Susceptibility in the Yangtze River Delta Using Machine Learning Methods


Last updated: 24/11/2024

A Multicriteria Decision Analytic Approach to Systems Resilience


Last updated: 24/11/2024

Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain


Last updated: 24/11/2024

A Dynamic Early Warning Model for Flash Floods Based on Rainfall Pattern Identification