دورية أكاديمية

The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States

التفاصيل البيبلوغرافية
العنوان: The Construction of Probabilistic Wildfire Risk Estimates for Individual Real Estate Parcels for the Contiguous United States
المؤلفون: Edward J. Kearns, David Saah, Carrie R. Levine, Chris Lautenberger, Owen M. Doherty, Jeremy R. Porter, Michael Amodeo, Carl Rudeen, Kyle D. Woodward, Gary W. Johnson, Kel Markert, Evelyn Shu, Neil Freeman, Mark Bauer, Kelvin Lai, Ho Hsieh, Bradley Wilson, Beth McClenny, Andrea McMahon, Farrukh Chishtie
المصدر: Fire, Vol 5, Iss 4, p 117 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Physics
مصطلحات موضوعية: fire model, property-level, climate, fuels, ignition, Physics, QC1-999
الوصف: The methodology used by the First Street Foundation Wildfire Model (FSF-WFM) to compute estimates of the 30-year, climate-adjusted aggregate wildfire hazard for the contiguous United States at 30 m horizontal resolution is presented. The FSF-WFM integrates several existing methods from the wildfire science community and implements computationally efficient and scalable modeling techniques to allow for new high-resolution, CONUS-wide hazard generation. Burn probability, flame length, and ember spread for the years 2022 and 2052 are computed from two ten-year representative Monte Carlo simulations of wildfire behavior, utilizing augmented LANDFIRE fuel estimates updated with all the available disturbance information. FSF-WFM utilizes ELMFIRE, an open-source, Rothermel-based wildfire behavior model, and multiple US Federal Government open data sources to drive the simulations. LANDFIRE non-burnable fuel classes within the wildland–urban interface (WUI) are replaced with fuel estimates from machine-learning models, trained on data from historical fires, to allow the propagation of wildfire through the WUI in the model. Historical wildfire ignition locations and NOAA’s hourly time series of surface weather at 2.5 km resolution are used to drive ELMFIRE to produce wildfire hazards representative of the 2022 and 2052 conditions at 30 m resolution, with the future weather conditions scaled to the IPCC CMIP5 RCP4.5 model ensemble predictions. Winds and vegetation were held constant between the 2022 and 2052 simulations, and climate change’s impacts on the future fuel conditions are the main contributors to the changes observed in the 2052 results. Non-zero wildfire exposure is estimated for 71.8 million out of 140 million properties across CONUS. Climate change impacts add another 11% properties to this non-zero exposure class over the next 30 years, with much of this change observed in the forested areas east of the Mississippi River. “Major” aggregate wildfire exposure of greater than 6% over the 30-year analysis period from 2022 to 2052 is estimated for 10.2 million properties. The FSF-WFM represents a notable contribution to the ability to produce property-specific, climate-adjusted wildfire risk assessments in the US.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2571-6255
العلاقة: https://www.mdpi.com/2571-6255/5/4/117Test; https://doaj.org/toc/2571-6255Test
DOI: 10.3390/fire5040117
الوصول الحر: https://doaj.org/article/ea0d3548a6ab4ddca9e6a0a676fc087dTest
رقم الانضمام: edsdoj.0d3548a6ab4ddca9e6a0a676fc087d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:25716255
DOI:10.3390/fire5040117