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npj Natural Hazards is a peer-reviewed journal published by Springer Nature, covering Flood Risk Assessment and Management, Tropical and Extratropical Cyclones Research, Climate variability and models. Over its lifetime it has published 227 papers, which have received 1,261 citations.
| 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. npj Natural Hazards 12, 45–58 (2023).
Formats any DOI in npj Natural Hazards style. No sign-up. |
| Publishes research in | Flood Risk Assessment and Management Tropical and Extratropical Cyclones Research Climate variability and models Landslides and related hazards Disaster Management and Resilience |
| ISSN | 2948-2100 |
| Citation impact (2-yr) | 5.56 |
| h-index | 17 |
| i10-index | 44 |
| Article processing charge | $2,090 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Beijing Normal University |
| Journal website | {http://link.springer.com/journal/44304,https://www.nature.com/npjnathazards/} |
| 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.
Abstract A catastrophic Mw7.8 earthquake hit southeast Turkey and northwest Syria on February 6th, 2023, leading to more than 44 k deaths and 160 k building collapses. The interpretation of earthquake-triggered building damage is usually subjective, labor intensive, and limited by accessibility to the sites and the availability of instant, high-resolution images. Here we propose…
Abstract Limited studies investigated the reasons for not adopting specific preparedness actions. This paper addresses this gap using national survey data from China. Seven disaster preparedness actions are used to measure preparedness behaviors, including “preparing food and water at home,” “paying attention to disaster-related information,” “making emergency plans,” “being aware of nearest shelters,” “being aware…
Machine learning (ML) models can simulate flood risk by identifying critical non-linear relationships between flood damage locations and flood risk factors (FRFs). To explore it, Tampa Bay, Florida, is selected as a test site. The study’s goal is to simulate flood risk and identify dominant FRFs using historical flood damage data as target variable, with…
Previous studies have overlooked the nonlinear dependency of drought propagation, limiting our understanding of its mechanisms. By establishing a causality chain, this study identifies the nonlinear propagation pathways of meteorological drought to agricultural drought across different climatic zones in China from 2000 to 2018 and elucidates the driving factors contributing to the divergences in propagation…
Abstract Infrastructure resilience plays an important role in mitigating the negative impacts of natural hazards by ensuring the continued accessibility and availability of resources. Increasingly, equity is recognized as essential for infrastructure resilience. Yet, after about a decade of research on equity in infrastructure resilience, what is missing is a systematic overview of the state…
