POSTFIRE RUNOFF MODELING FOR PRE-FIRE HAZARD MITIGATION PLANNING, SOUTHERN CALIFORNIA

Evaluating fuel complexes for fire hazard mitigation planning in the southeastern United States

Forest Ecology and Management ◽

10.1016/j.foreco.2011.06.040 ◽

2012 ◽

Vol 273 ◽

pp. 4-16 ◽

Cited By ~ 9

Author(s):

Anne G. Andreu ◽

Dan Shea ◽

Bernard R. Parresol ◽

Roger D. Ottmar

Keyword(s):

United States ◽

Fire Hazard ◽

Hazard Mitigation ◽

Southeastern United States ◽

Mitigation Planning

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Fire hazard mitigation in distribution systems through high impedance fault detection

Electric Power Systems Research ◽

10.1016/j.epsr.2020.106928 ◽

2020 ◽

pp. 106928

Author(s):

O.A. Gashteroodkhani ◽

M. Majidi ◽

M. Etezadi-Amoli

Keyword(s):

Fault Detection ◽

Distribution Systems ◽

Fire Hazard ◽

Hazard Mitigation ◽

High Impedance ◽

High Impedance Fault

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Predicting spatial patterns of fire on a southern California landscape

International Journal of Wildland Fire ◽

10.1071/wf07087 ◽

2008 ◽

Vol 17 (5) ◽

pp. 602 ◽

Cited By ~ 150

Author(s):

Alexandra D. Syphard ◽

Volker C. Radeloff ◽

Nicholas S. Keuler ◽

Robert S. Taylor ◽

Todd J. Hawbaker ◽

...

Keyword(s):

Spatial Patterns ◽

Southern California ◽

Vegetation Type ◽

Fire Hazard ◽

Fire Regimes ◽

Fire Frequency ◽

Fuel Loading ◽

Landscape Characteristics ◽

Management Actions ◽

Fire Ignitions

Humans influence the frequency and spatial pattern of fire and contribute to altered fire regimes, but fuel loading is often the only factor considered when planning management activities to reduce fire hazard. Understanding both the human and biophysical landscape characteristics that explain how fire patterns vary should help to identify where fire is most likely to threaten values at risk. We used human and biophysical explanatory variables to model and map the spatial patterns of both fire ignitions and fire frequency in the Santa Monica Mountains, a human-dominated southern California landscape. Most fires in the study area are caused by humans, and our results showed that fire ignition patterns were strongly influenced by human variables. In particular, ignitions were most likely to occur close to roads, trails, and housing development but were also related to vegetation type. In contrast, biophysical variables related to climate and terrain (January temperature, transformed aspect, elevation, and slope) explained most of the variation in fire frequency. Although most ignitions occur close to human infrastructure, fires were more likely to spread when located farther from urban development. How far fires spread was ultimately related to biophysical variables, and the largest fires in southern California occurred as a function of wind speed, topography, and vegetation type. Overlaying predictive maps of fire ignitions and fire frequency may be useful for identifying high-risk areas that can be targeted for fire management actions.

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SOCIALIZATION OF FIRE MITIGATION IN DENSELY POPULATED AREA AT JATI SAMPURNA, BEKASI

ICCD ◽

10.33068/iccd.vol2.iss1.250 ◽

2019 ◽

Vol 2 (1) ◽

pp. 616-617

Author(s):

Anjas Handayani

Keyword(s):

Fire Hazard ◽

Hazard Mitigation ◽

Fire Risk ◽

Mitigation Measures ◽

Populated Area ◽

Fire Hazards ◽

Fire Victims ◽

Fire Mitigation ◽

Special Rules ◽

The City

During the first quarter of 2019, from January to March 2019 there were 45 fire incidents in the city of Bekasi with losses ranging from Rp. 2,365,000,000 (based on data from the Bekasi City fire dept Service). From 45 events in the city of Bekasi, 3 of them occurred in Jatisampurna sub-district. Based on the type of object 45 events 15 of which are residential houses.With the data above, it can be said that the risk of fire can cause material and immaterial losses and can also cause trauma to fire victims. The importance of knowledge and information on fire hazard mitigation and how mitigation measures against fire hazards need to be conveyed to people who live in densely populated areas where the risk of fire is quite large. Laws or regulations on fire are not yet widely owned by most regions, so there are no special rules that can be covered in relation to fire risk.

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