Ember risk modelling for improved wildfire risk management in the peri-urban fringes
Environmental Modelling & Software, ISSN: 1364-8152, Vol: 138, Page: 104956
2021
- 4Citations
- 41Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Although embers are a leading cause of house loss and damage from wildfire, risk reduction activities such as vegetation management and planning requirements do not adequately account for the risk of embers. To help address this, a model of the potential ember risk is presented. It takes into account local vegetation and background wind conditions for both long-range and short-range ember dispersal. This model is developed to provide indications of the importance of embers to the household-level wildfire risk in communities at the wildland-urban interface. The model provides information for householders to improve understanding of the nature of ember risk within the community, and to assist planning in order to respond to that risk. A case study of the 2015 Warringine Park (Coastal Section) bushfire in Australia is presented, which demonstrates how the model could be used to assist with community planning. The utility of this outcome for community and household level wildfire planning and preparation is discussed.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1364815220310136; http://dx.doi.org/10.1016/j.envsoft.2020.104956; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85100301271&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1364815220310136; https://dx.doi.org/10.1016/j.envsoft.2020.104956
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know