Scientific Basis for Modeling Wildland Fire Management
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Introduction to Fire Behavior Modeling (2012)
Introduction to Fire Behavior Modeling Introduction to Wildfire Behavior Modeling Introduction Table of Contents Introduction ........................................................................................................ 5 Chapter 1: Background........................................................................................ 7 What is wildfire? ..................................................................................................................... 7 Wildfire morphology ............................................................................................................. 10 By shape........................................................................................................ 10 By relative spread direction ........................................................................... 12 Wildfire behavior characteristics ........................................................................................... 14 Flame front rate of spread (ROS) ................................................................... 15 Heat per unit area (HPA) ................................................................................ 17 Fireline intensity (FLI) .................................................................................... 19 Flame size ..................................................................................................... 23 Major influences on fire behavior simulations ....................................................................... 24 Fuelbed structure ......................................................................................... -
5A.4 Forest Fire Impact on Air Quality: the Lancon-De-Provence 2005 Case
5A.4 FOREST FIRE IMPACT ON AIR QUALITY: THE LANCON-DE-PROVENCE 2005 CASE S. Strada∗ and C. Mari - CNRS - University of Toulouse, Toulouse, France J. B. Filippi and F. Bosseur - CNRS, Corte, France 1. INTRODUCTION et al., 1998). The model was developped jointly between Meteo-France and Laboratoire d’Aerologie In Mediterranean region climate change is mak- (CNRS). In the present study, Meso-NH is run with ing weather conditions more extremes, allowing huge four interactively nested domains whose horizontal forested areas to become ignited. Forest fires are a mesh sizes are, respectively, 25, 5, 1 km and 200 m risk to the environment and to communities, more- (Figure 1). The simulation starts on June 29, over wildfire represent a significant source of gas and 2005, 00:00 UTC, and is integrated for 72 h, with aerosols. Depending on the meteorological condi- different time steps for each domain. The initial and tions, these emissions can efficiently perturb air qual- boundary conditions for the dynamical variables are ity and visibility far away from the sources. taken from ECMWF operational reanalyses. The aim of this work is to simulate the interactions The vertical grid had 72 levels up to 23 km with of a mediterranean fire with its environment both in a level spacing of 40 m near the ground and 600 m terms of dynamics and air quality. at high altitude. The microphysical scheme included the three water phases with five species of precipitat- 2. FIRE-ATMOSPHERE COUPLING ing and nonprecipitating liquid and solid water (Pinty and Jabouille, 1999). The turbulence parametriza- The fire spread model ForeFire has been coupled tion was based on a 1.5-order closure (Cuxart et al., with the French mesoscale atmospheric model Meso- 2000). -
Brea Fire Department 2020 Annual Report Brea Fire Annual Report 2020 a Message from Your Brea Fire Chief
7 91 S . 1 M EST E UE FIRE RESC BREA2020 FIRE ANNUAL DEPARTMENT REPORT BREA FIRE ANNUAL REPORT 2020 A MESSAGE FROM YOUR BREA FIRE CHIEF I’m extremely proud to introduce our first ever Brea Fire Department Annual Report for 2020! This was a year filled with many unique challenges from a worldwide pandemic, to extreme wildfires, to civil unrest. Throughout these challenges, the men and women of the Brea Fire Department continued to respond to our community as compassionate professionals. As a highly trained, all-hazard fire department, we take great pride in handling any situation that comes our way. It is important to take time to reflect on our past accomplishments so we remain focused to exceed the following year’s expectations. More importantly, this is our opportunity to provide a behind-the-scenes look at the details of your fire department and the positive impact they are having on our community. It is our belief that the quality of life in our neighborhoods depends on strong partnerships between our citizens, business leaders, elected officials, and City employees. We welcome every opportunity to participate in these partnerships, especially as we continue to move back to our normal way of life. ADAM LOESER BREA FIRE CHIEF BREA FIRE ANNUAL REPORT 2020 PROTECTING OUR CITY Each member of our team has a heart for serving the City of Brea. From our Firefighters to our volunteers, Brea is in great hands. 42 RON ARISTONDO FIREFIGHTERS Fire Prevention Specialist II 3 YEARS OF BREA SERVICE 3 FIRE PREVENTION STAFF 1 JOHN AGUIRRE EMERGENCY Fire Engineer MANAGER 25 YEARS OF BREA SERVICE 2 PROFESSIONAL STAFF ELIZABETH DANG Administrative Clerk II 164 7 YEARS OF BREA SERVICE COMMUNITY EMERGENCY RESPONSE TEAM (CERT) VOLUNTEERS 8 CHIEF OFFICERS* 1 EMERGENCY MEDICAL SERVICES (EMS) MANAGER* 1 FIRE CHAPLAIN* *Shared with the City of Fullerton BREA FIRE ANNUAL REPORT 2020 COMMAND STAFF Since 2011, the cities of Brea and Fullerton have operated under a Shared Command Staff Agreement. -
Fire Departments by County FDID Dept Name Mailing Address City Zip Chief Namereg Year Phone Chief E-Mail
Fire Departments by County FDID Dept Name Mailing Address City Zip Chief NameReg Year Phone Chief E-Mail ADAIR 00105 ADAIR COUNTY RURAL FIRE DIST #1 801 N Davis Greentop 63546 Barry Mitchell2010 (660) 627-5394 [email protected] 00103 EASTERN ADAIR FIRE & RESCUE P. O. BOX 1049 Brashear 63533 JAMES SNYDER2010 (660) 865-9886 [email protected] 00101 KIRKSVILLE FIRE DEPARTMENT 401 N FRANKLIN KIRKSVILLE 63501 RANDY BEHRENS2010 (660) 665-3734 [email protected] 00106 NOVINGER COMMUNITY VOL FIRE ASSOCATION INC P. O. BOX 326 NOVINGER 63559 DAVID KETTLE2010 (660) 488-7615 00104 SOUTHWESTERN ADAIR COUNTY FIRE DEPARTMENT 24013 STATE HIGHWAY 3 KIRKSVILLE 63501 DENNIS VANSICKEL2010 (660) 665-8338 [email protected] ANDREW 00202 BOLCKOW FIRE PROTECTION DISTRICT PO BOX 113 BOLCKOW 64427 JIM SMITH2008 (816) 428-2012 [email protected] 00201 COSBY-HELENA FIRE PROTECTION DISTRICT COSBY 64436 Dennis Ford2010 (816) 662-2106 [email protected] 00203 FILLMORE FIRE PROTECTION DIST P. O. BOX 42 FILLMORE 64449 RON LANCE2008 (816) 487-4048 00207 ROSENDALE FIRE PROTECTION DISTRICT PO BOX 31 ROSENDALE 64483 BRYAN ANDREW 2003 00205 SAVANNAH FIRE DEPARTMENT PO BOX 382 SAVANNAH 64485 Tommy George2010 (816) 324-7533 [email protected] 00206 SAVANNAH RURAL FIRE PROTECTION DISTRICT PO BOX 382 SAVANNAH 64485 Tommy George2010 (816) 324-7533 [email protected] ATCHISON 00301 FAIRFAX VOLUNTEER FIRE DEPT P.O. BOX 513 FAIRFAX 64446 ROBERT ERWIN 2008 00308 ROCK PORT VOLUNTEER FIRE DEPARTMENT PO Box 127 ROCK PORT 64482 STEPHEN SHINEMAN2010 (660) 744-2141 [email protected] 00304 TARKIO FIRE DEPARTMENT 112 WALNUT TARKIO 64491 DUANE UMBAUGE 2006 00306 WATSON VOLUNTEER FIRE DEPARTMENT PO BOX 127 ROCKPORT 64482 TOM GIBSON2008 (660) 744-2141 00305 WEST ATCHISON RURAL FIRE DISTRICT 516 SOUTH MAIN ST ROCKPORT 64482 STEPHEN SHINEMAN2010 (660) 744-2141 [email protected] 00302 WESTBORO VOLUNTEER FIRE DEPT. -
Wildfire Smoke Effects on Health: Implementing an Air Quality Alert System for UCSD
Wildfire Smoke Effects on Health: Implementing an Air Quality Alert System for UCSD Melina Cunha June 2019 Acknowledgements This capstone project would not have been possible without the help of my Committee. I would like to thank Tarik Benmarhnia, my Committee Chair and faculty professor at Scripps Institution of Oceanography, for being an amazing mentor and guiding me through this entire process. His guidance in both the scientific basis of climate change and health as well as implementation of the alert system at UCSD has been instrumental to my success. I also want to thank Corey Gabriel for encouraging me to choose wildfires as my direction of study and helping me to brainstorm all of the different directions I could have gone with this project. I want to thank everyone in the Environment, Health, and Safety Emergency Management & Business Continuity Division at UCSD who were involved in the development and implementation of the alert system, including Dismas Abelman, Eric Delucien, and Matt Hussmann. Dismas was enthusiastic from the beginning and eager to do everything he could to help me complete this project. Eric developed the website that I created as a resource for students to get more information about wildfire smoke, air quality, and health. Matt was my initial contact with EH&S who helped me understand the function of Triton Alerts and the Emergency Division and connected me with Dismas. I also want to thank everyone else who discussed my capstone with me throughout the year and in the early days when I was considering other projects. Thank you also to my friends, family, and CSP cohort for supporting and inspiring me this past year. -
A Carbon-Cycle Based Stochastic Cellular Automata Climate Model
A CARBON-CYCLE BASED STOCHASTIC CELLULAR AUTOMATA CLIMATE MODEL KLAUS LICHTENEGGER, Institut f¨urPhysik, Karl-Franzens-Universit¨atGraz, Institut f¨urAnalysis und Computational Number Theory, Technische Universit¨atGraz; A-8010 Graz, Austria, [email protected] WILHELM SCHAPPACHER, Institute of Mathematics and Scientific Computing, Heinrichstraße 36 Graz University, 8010 Graz, Austria [email protected] March 23rd, 2011 Abstract In this article a stochastic cellular automata model is examined, which has been developed to study a \small" world, where local changes may noticeably alter global characteristics. This is applied to a climate model, where global temperature is determined by an interplay between atmo- spheric carbon dioxide and carbon stored by plant life. The latter can be relased by forest fires, giving rise to significant changes of global conditions within short time. Keywords: Cellular Automata; Forest Fire; Climate Dynamics; Carbon Cycle PACS Nos.: 64.60.ah, 89.75.-k, 89.75.Fb, 89.75.kd 1 Introduction arXiv:1103.4532v1 [nlin.CG] 23 Mar 2011 1.1 A Brief Note on Cellular Automata Cellular Automata (CA), as studied first by von Neumann and Ulam [1], provide systems both interesting from a fundamental point of view and for practical purposes of model builders. Among the systems most frequently studied are CA versions of daisyworld [2, 3, 4] and forest fire models [5, 6, 7, 8, 9]. The main idea is to study a grid or network of identical units (cells), which each can take discrete states, and where the time evolution of each cell is gov- erned by simple local rules: The state si(t) of a cell labelled by i at timestep t 1 is only determined by its previous state si(t − 1) and the states sjk (t − 1) of a small number k of neighbours, labelled by jk. -
Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
fire Article Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California Katelyn Zigner 1,* , Leila M. V. Carvalho 1,2 , Seth Peterson 1, Francis Fujioka 3, Gert-Jan Duine 2 , Charles Jones 1,2, Dar Roberts 1,2 and Max Moritz 1,2,4 1 Department of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USA; [email protected] (L.M.V.C.); [email protected] (S.P.); [email protected] (C.J.); [email protected] (D.R.); [email protected] (M.M.) 2 Earth Research Institute, University of California, Santa Barbara, CA 93106, USA; [email protected] 3 CEESMO, Chapman University, Orange, CA 92866, USA; [email protected] 4 University of California Cooperative Extension, Agriculture and Natural Resources Division, Oakland, CA 94607, USA * Correspondence: [email protected] Received: 12 June 2020; Accepted: 7 July 2020; Published: 10 July 2020 Abstract: Extreme, downslope mountain winds often generate dangerous wildfire conditions. We used the wildfire spread model Fire Area Simulator (FARSITE) to simulate two wildfires influenced by strong wind events in Santa Barbara, CA. High spatial-resolution imagery for fuel maps and hourly wind downscaled to 100 m were used as model inputs, and sensitivity tests were performed to evaluate the effects of ignition timing and location on fire spread. Additionally, burn area rasters from FARSITE simulations were compared to minimum travel time rasters from FlamMap simulations, a wildfire model similar to FARSITE that holds environmental variables constant. Utilization of two case studies during strong winds revealed that FARSITE was able to successfully reconstruct the spread rate and size of wildfires when spotting was minimal. -
Computational Modeling of Extreme Wildland Fire Events
Computational modeling of extreme wildland fire events: a synthesis of scientific understanding with applications to forecasting, land management, and firefighter safety Janice L. Coena,b W. Schroederc S Conwayd L Tarnaye a National Center for Atmospheric Research, Boulder, Colorado b Corresponding author. [email protected] c NOAA/NESDIS/OSPO/SPSD, College Park, MD d Conway Conservation Group, Incline Village, NV e USDA Forest Service, Region 5 Remote Sensing Laboratory, McClellan, CA ACCEPTED Journal of Computational Science Formal publication location: https://doi.org/10.1016/j.jocs.2020.101152 1 Abstract The understanding and prediction of large wildland fire events around the world is a growing interdisciplinary research area advanced rapidly by development and use of computational models. Recent models bidirectionally couple computational fluid dynamics models including weather prediction models with modules containing algorithms representing fire spread and heat release, simulating fire-atmosphere interactions across scales spanning three orders of magnitude. Integrated with weather data and airborne and satellite remote sensing data on wildland fuels and active fire detection, modern coupled weather-fire modeling systems are being used to solve current science problems. Compared to legacy tools, these dynamic computational modeling systems increase cost and complexity but have produced breakthrough insights notably into the mechanisms underlying extreme wildfire events such as fine-scale extreme winds associated with interruptions of the electricity grid and have been configured to forecast a fire's growth, expanding our ability to anticipate how they will unfold. We synthesize case studies of recent extreme events, expanding applications, and the challenges and limitations in our remote sensing systems, fire prediction tools, and meteorological models that add to wildfires' mystery and apparent unpredictability. -
News Headlines 09/09/2020
____________________________________________________________________________________________________________________________________ News Headlines 09/09/2020 CAL FIRE California Statewide Fire Summary for Wednesday Morning, September 9, 2020 El Dorado Fire Wednesday: Containment Grows But New Evacuation Warnings In Place 1 CAL FIRE California Statewide Fire Summary for Wednesday Morning, September 9, 2020 Staff Writer, Gold Rush Cam Posted: Friday, September 9, 2020 September 9, 2020 - Yesterday, and overnight, wind conditions allowed many fires to grow significantly with extreme fire behavior. While containment on Cal firemany of last month’s lightning fires grows closer, several new wildfires ignited and were fanned by strong gusty winds. Today approximately 14,000 firefighters are battling 28 major wildfires across California. The newest fire, the Willow in Yuba County, broke out late last evening near the community of Dobbins, forcing evacuations. The Bear Fire, which is part of the North Complex, spread rapidly yesterday due to Red Flag conditions and moved towards multiple communities east of Oroville, and forced more evacuations. This year, wildfires have now burned over 2.5 million acres in California. There have been 8 fatalities and over 3,700 structures destroyed. While Red Flag Warnings remain in effect across much of the state, winds are expected to weaken as we go through the day. Wind gusts are possible up to 55mph in mountain and foothill areas. Minimum humidity will be mainly in the single digits and teens through Wednesday and will likely increase Thursday. Tomorrow, wind conditions improve and seasonal temperatures and dry conditions will persist into the weekend. Do you have a plan for all your family should a wildfire strike near you? Don’t forget everyone, including your four-legged family members! Have a plan in place for your pets, and have go bag ready for them to keep with yours. -
An Ever-Expanding Disaster Risk Is Transforming the California Fire
Volume 25 | No. 3 Third Quarter 2017 n the pre-dawn hours on October 9th, a Berkeley Fire Department strike team rolled into Santa Rosa, called in on a mutual aid response to what they thought was a large wildland fire. As they EVOLVING arrived in their assigned staging area – a Kmart Iparking lot in northwest Santa Rosa – they knew it was much bigger: The Kmart was completely up in flames. “Are you serious?” wondered one incredulous Engine 6 firefighter. Up the road, fellow Berkeley firefighter Josh Block UNDER FIRE had already seen the worst of it. He and his brother had been forced to flee the home they shared in Santa An Ever-Expanding Disaster Risk is Rosa. “The whole cul-de-sac was up in flames in like 10 minutes,” he later marveled. “Fifty-foot flame lengths … I’ve never seen anything like it.” Transforming the California Fire Service The North Bay Firestorm that would unfold in the blistering week that followed was, by many accounts, one for the ages: 43 deaths (most ever in a single fire incident in California history), more than 8,000 structures lost, total losses estimated in the billions. More than three dozen firefighters lost their own homes in the event – many of them while they were themselves on the fire lines. For the California fire service, cataclysmic events are starting to seem like just another day at the office. In just the second half of 2017, a string of incidents – far flung and close-to-home – have tested the capa- bilities, training, stamina and courage of the state’s first responders: JULY: A series of windblown wildland fires charred an area the size of New York City, sending tens of thousands fleeing from their homes. -
Up in Flames: Containing Wildfire Liability for Utilities in the West
Up in Flames: Containing Wildfire Liability for Utilities in the West Anthony Nordman & Isaac Hall* I. INTRODUCTION ....................................................................................56 II. GETTING FIRED UP ..............................................................................58 A. Electricity Infrastructure in the West ................................. 59 B. Increasing Wildfire Costs ................................................... 63 1. Worsening Fire Seasons ....................................................63 2. Rising Costs for Utilities ...................................................64 3. Utility-Caused Wildfires and the Duty to Serve Rural Customers ................................................................66 C. Comparing State Wildfire Liability Laws ........................... 67 1. California ...........................................................................68 2. Other Western States .........................................................70 III. BEFORE THE BLAZE: EX-ANTE APPROACHES TO ADDRESSING THE UTILITY WILDFIRE LIABILITY PROBLEM .....................................74 A. Greater Collaboration in Wildfire Prevention Plans ......... 74 B. Smarter Sharing of Duties Between Federal Agencies and States ............................................................ 76 C. Allocating Risk: The Moral Hazard Problem and Wildfires ............................................................................. 79 1. Incentivizing Landowners in Fire-Prone Areas to Invest in UVM ...................................................................79 -
Camp Fire Air Quality Data Analysis
July 2021 Camp Fire Air Quality Data Analysis Cover image courtesy of CAL FIRE CARB's mission is to promote and protect public health, welfare, and ecological resources through effective reduction of air pollutants while recognizing and considering effects on the economy. CARB is the lead agency for climate change programs and oversees all air pollution control efforts in California to attain and maintain health-based air quality standards. Camp Fire Air Quality Data Analysis c Contents Executive Summary vi Background viii Monitoring and Air Quality 2 Monitoring 2 Air Quality 2 Data Comparison - Camp Fire and Summer Wildfires 5 Particulate Matter 5 Metals 6 Chemical Species 8 Health Impacts 11 Wildfire Smoke 11 Smoke from Structural Fires 11 Wildfire Ash 12 Specific Chemical Compounds 12 Fine Particulate Matter (PM2.5) 12 Metals, Organic Carbon, Ammonium Nitrate, and Ammonium Sulfate 13 Health Effects Summary 15 Going Forward 16 Health Effects Research 16 Complex mixtures of smoke: 16 High short-term exposures: 16 Repeated or long-term exposure to wildfires: 16 Chemical-biological analysis of smoke: 16 Modeling 17 Monitoring 17 Appendix A: Resources 18 California Air Resources Board 18 California Department of Public Health 18 U.S. Environmental Protection Agency 18 Appendix B: Satellite Imagery and PM2.5 AQI Values 19 Appendix C: Toxics Air Monitoring Sites 22 Camp Fire Air Quality Data Analysis e Executive Summary The 2018 Camp Fire was the deadliest wildfire in California history. At least 85 people died as the catastrophic wildfire burned through Butte County, destroying nearly 19,000 buildings and most of the town of Paradise.