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International Journal of Disaster Risk Science is a peer-reviewed journal published by Springer Nature, covering Disaster Management and Resilience, Flood Risk Assessment and Management, Disaster Response and Management.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. International Journal of Disaster Risk Science 12, 45–58 (2023).
Formats any DOI in International Journal of Disaster Risk Science style. No sign-up. |
| Publishes research in | Disaster Management and Resilience Flood Risk Assessment and Management Disaster Response and Management Infrastructure Resilience and Vulnerability Analysis Tropical and Extratropical Cyclones Research |
| ISSN | 2095-0055 |
| Citation impact (2-yr) | 4.66 |
| h-index | 73 |
| i10-index | 522 |
| Total citations | 24,778 |
| Open access | Yes |
| Top institutions publishing here | Beijing Normal University |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) is the first global policy framework of the United Nations’ post-2015 agenda. It represents a step in the direction of global policy coherence with explicit reference to health, development, and climate change. To develop SFDRR, the United Nations Office for Disaster Risk Reduction (UNISDR) organized and…
This article briefly reviews the causes and impacts of the massive eastern Japan earthquake and tsunami of 11 March 2011, and comments on the response measures taken by Japan to cope with this devastating disaster. Mass losses occurred mostly because the intensity of the quake and the induced tsunami exceeded local coping capacity. Particularly, the…
The increasing frequency, intensity, and severity of natural hazards is one of the most pressing global environmental change problems. From the local to the global level, governments and civil society need to increase resilience to these hazards. Despite what is now a very sizeable literature on designing governance systems to produce resilience, a substantial gap…
Abstract Forest fires have caused considerable losses to ecologies, societies, and economies worldwide. To minimize these losses and reduce forest fires, modeling and predicting the occurrence of forest fires are meaningful because they can support forest fire prevention and management. In recent years, the convolutional neural network (CNN) has become an important state-of-the-art deep learning…
This study highlights drought characteristics and the many responses to drought stresses employed by Turkana pastoralists of northwestern Kenya. Multiple data sources, including socioeconomic interviews with 302 households, focus group discussions, and informal interviews with pastoralists were used to capture various aspects of drought and drought adaptation and coping practices. Standardized precipitation index derived from…
