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Level of Service
The Level of Service (LOS) is an assessment that focuses
on identifying areas with the potential of unacceptable loss and high-cost
fires. For this assessment, the department created a new model.
There are several components that define an unacceptable
loss and high suppression cost fire. The department narrowed down four components
that are common factors with damaging-costly fires. They are potential loss,
travel times to the fire, historical occurrence, and resistance to control.
Mt.
Vision Fire- October 1995
The defining factor for fire suppression cost
and fire loss is the number of structures involved or threatened by fire.
Every summer, hundreds of local government engines are dispatched to protect
structures. With the cost of local government equipment and the sheer number
of fire apparatus needed to protect neighborhoods, it is quite easy to expend
a million dollars a day.
Loss figures are also compounded by structures destroyed
by wildland fire. Historically, most large dollar loss fires involved numerous
homes.
| Fire Name |
Date |
County |
Acres |
Homes Destroyed |
| TUNNEL |
Oct. 1991 |
ALAMEDA |
1,600 |
2,900 |
| JONES |
Oct. 1999 |
SHASTA |
26,200 |
954
|
| PAINT |
Sept. 1990 |
SANTA BARBARA |
4,900 |
641 |
| FOUNTAIN |
Aug. 1992 |
SHASTA |
63,960 |
636 |
| BERKELEY |
Sept. 1923 |
ALAMEDA |
130 |
584 |
| BEL AIR |
Nov. 1961 |
LOS ANGELES |
6,090 |
484 |
| LAGUNA |
Oct. 1993 |
ORANGE |
14,437 |
441 |
| LAGUNA |
Sept.1970 |
SAN DIEGO |
175,425 |
382 |
| PANORAMA |
Nov. 1980 |
SAN BERNARDINO |
23,600 |
325 |
| TOPANGA |
Nov. 1993 |
LOS ANGELES |
18,000 |
323 |
| 49ER |
Sept.1988 |
NEVADA |
33,700 |
312 |
| SYCAMORE |
July 1977 |
SANTA BARBARA |
805 |
234 |
| CANYON |
Sept. 1999 |
SHASTA |
2,580 |
230 |
| KANNAN |
Oct. 1978 |
LOS ANGELES |
25,385 |
224 |
| KINNELOA |
Oct. 1993 |
LOS ANGELES |
5,485 |
196 |
| OLD GULCH |
Aug. 1992 |
CALAVERAS |
17,386 |
170 |
| TAMALPAIS |
July 1929 |
MARIN |
2,500 |
117 |
| HARMONY |
Oct. 1996 |
SAN DIEGO |
8,000 |
110 |
| CALIFORNIA |
Oct. 1993 |
RIVERSIDE |
25,100 |
107 |
| HARLOW |
July 1961 |
MARIPOSA |
41,200 |
106 |
Topographic maps were divided into 81 cells called Quad 81st. Each Q81st
is approximately 450 acres.
To model structure losses and protection
cost potential, parcel information was queried to indicate parcels with
at least one living unit. The entire state was divided into 450 acre cells
called Quad 81st. Quad 81st cells (Q81) were overlaid
and combined with the parcel information to indicate how many living units
per Q81. Ranks were established for the Q81 based on the number of living
units per cell.
For each of the Q81st the following formula was
used:
| Number of Living Units |
Q81st Rank |
Rank Value |
| 0 Living Units |
No Rank
|
0
|
| 1-10 Living Units |
Low
|
1
|
| 11-100 Living Units |
Moderate
|
2
|
| 101-500 Living Units |
High
|
3
|
| Over 500 Living Units |
Very High
|
4
|
Living Unit Ranking Map
Wildland fires became large, thus costly,
due to response time. Using the Behave fire model, a fire burning in annual
grasses, under a 10-mph wind, with a ten-percent slope, will grow to over
10 acres in five minutes. In ten minutes, the fire will be over 50 acres.
To model response times throughout the county, every fire
station regardless of jurisdiction was mapped. Response times were modeled
from the fire station to the center of each Q81. The Q81 with a majority of
the area covered by ocean were not ranked.
For each of the Q81st the following formula was
used:
| Response to the center of a Q81 |
Q81st Rank |
Rank Value |
| Under 5 Minutes |
Low
|
1
|
| 5-8 Minutes |
Moderate
|
2
|
| 8-10 Minutes |
High
|
3
|
| Over 10 Minutes |
Very High
|
4
|
Response Time Ranking Map

The probability of a wildland fire can be based on past
ignitions. Over 880 fires were mapped to the nearest address. The dates
of the wildfires were between May 1, 1990, and December 31, 1997. The
fire location was mapped from the California Fire Information Reporting
System reports. The total number of fires per Q81 was calculated. There
is a strong correlation to population density, travel corridors, and ignition
density.
| Number of responses within a Q81 |
Q81st Rank |
Rank Value |
| No Responses |
Not Ranked
|
0
|
| 1-2 Fires |
Low
|
1
|
| 3-5 Fires |
Moderate
|
2
|
| 6-10 Minutes |
High
|
3
|
| 11 Or More Fires |
Very High
|
4
|
Probability of Ignition Ranking Map
The last factor used in the department’s Level of Service
model is resistance of control potential. There are several factors that
influence a fire’s ability to overwhelm suppression forces. The focus
is to determine the resistance of fire control in each Q81.
How fast and how hot a fire burns determines the success
rate of fire suppression. How fast (or a fire’s rate of spread) is measured
in feet per minute. Fuel models 1 and 2 (with a high percent of annual grass)
have the highest rates of spread.
How hot a fire burns is a measurement of intensity rates.
Intensity rates are highest for brush or timber types of vegetation. Fuel
models 4, 9, and 10 were used to determine areas with high intensity rates.
Access to fires is determined by the road system in place.
Streets, both paved and in the county’s fire road system, were used to determine
access. Areas more than 500 feet from a road were identified.
The last criteria used to determine the resistance of fire
control is slope. Slope restricts fire engine use, slows down fireline production,
and increases the rate of spread for wildfires. Slopes with a 40 percent grade
are beyond the driving capability of fire engines. Areas with more than a
40 percent slope were identified.
Percent of RTC Area Within a Q81 |
Rank |
Rank Value |
|
0
|
Not Ranked
|
0
|
|
1-10%
|
Low
|
1
|
|
11-30%
|
Moderate
|
2
|
|
31-50%
|
High
|
3
|
|
Over 50%
|
Very High
|
4
|
The rank values for all four models
are added together to determine the areas with the highest probability for
a large, costly, and damaging fire.
Click on the following map to display the level of service:

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