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Report on Assessing Defendable Space Around Houses in Bushfire-prone Environments A report prepared by: Dr Kevin Tolhurst Senior Lecturer, Fire Ecology and Management Department of Forest and Ecosystem Science University of Melbourne, Water Street, Creswick, Victoria. Dated: 18 th June 2009 This report has been written in response to the request by the Counsel Assisting the Royal Commission (letter dated 12 June 2009). EXP.003.005.0001

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  • Report on Assessing Defendable Space Around Houses in Bushfire-prone

    Environments

    A report prepared by: Dr Kevin Tolhurst Senior Lecturer, Fire Ecology and Management Department of Forest and Ecosystem Science University of Melbourne, Water Street, Creswick, Victoria. Dated: 18th June 2009

    This report has been written in response to the request by the Counsel Assisting the Royal Commission (letter dated 12 June 2009).

    EXP.003.005.0001

  • Report on Assessing Defendable Space Around Houses 1 in Bushfire-prone Environments 2 3 Dr Kevin Tolhurst, 18th June 2009 4 5 6 This report has been written in response to the request by the Counsel Assisting the 7 Royal Commission (letter dated 12 June 2009). Specifically, the request was to provide 8 a written report which outlines: 9

    (a) the House Ignition Likelihood Index (HILI) which was briefly outlined in your 10 appearance before the Commission on 21 May 2009, including: 11

    (i) an explanation of how the model was developed and how it is applied; 12 (ii) an overview of the benefits and limitation of the model; 13 (iii) evidence on the accuracy of the model; 14 (iv) examples of locations where the model has been used; and 15 (v) comments on other comparable and/or complementary models, including the 16

    CSIRO House Survival Meter developed by Andrew Wilson and the Project 17 Vesta model. 18

    (b) the issues involved in creating a “defendable space” around houses / structures in 19 bushfire-prone areas on the basis that the Commission will consider this issue in 20 greater details during another block of hearings. 21

    22

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    Preface 1 My interest in “Defendable Space” was raised following the release of the Australian 2 Standard for “Construction of Buildings in Fire-prone Areas” (AS 3959-1999) 3 published in 1999. It was my view, and the view of some others, that the assessment of 4 bushfire threat in this Standard was inadequate. The assessment of the “Bushfire Attack 5 Level” (BAL) has been improved in the revised Standard released this year (AS 3959-6 2009), but it still does not describe the vegetation in terms of its fuel properties, nor 7 does it adequately take into account local weather conditions and topography. 8 Following discussions in 1999 with Dr Noreen Krusel, a CFA (Country Fire Authority) 9 Officer, I undertook to assess the Standard as part of a student’s honours project. Kelly 10 Howlett was the student who undertook the field data collection and analysis as part of 11 her Bachelor of Forest Science Honours degree. This work was done in the Macedon 12 Ranges, the same area where Andrew Wilson had conducted his research, as part of a 13 Masters of Forest Science degree, on the factors important to house survival following 14 the 1983, Ash Wednesday fires. Ms Howlett’s report was completed by November 15 2000 and I passed the report on to Dr Krusel in May 2001. To make the findings from 16 Ms Howlett’s report more useful, I summarized her results and other available research 17 into a spreadsheet-based model which I called the “House Ignition Likelihood Index” 18 (HILI) and presented the index and its basis to an international fire conference in 19 Sydney in 2003 (Tolhurst & Howlett, 2003). 20 21 The House Ignition Likelihood Index deals mainly with the effect of different fuel 22 arrangements on the probability of a house catching fire in a bushfire under variable fire 23 weather for a specific topographic location for a house with a specific height. The 24 model does not consider the likely survival of a house in a bushfire, this was done by 25 the House Survival meter developed by Wilson & Ferguson (1986) which takes into 26 account the nature of the house design, construction material and the presence or 27 absence of someone to defend the house. 28 29 As part of the Bushfire CRC, significantly more research has been undertaken into 30 House Survival by Mr Justin Leonard and his colleagues (e.g. Blanchi & Leonard 31 2005), but much of Wilson’s House Survival meter (model) (Wilson 1988) remains 32 relevant. 33 34 35

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    Context 1 There are four major factors that need to be considered when assessing the defendability 2 of a house. These are: 1) weather, 2) fire, 3) building design & maintenance and 4) 3 level of defence. These factors are shown diagrammatically in Figure 1. 4 5 Defendability is a measure of the resistance to damage for a given level of pressure 6 or attack. 7 8 9

    Figure 1. Factors important in determining the level of defendability of a house in a 10 bushfire-prone environment. 11

    12 “Defendable Space” is therefore a relative concept that can only be assessed in the 13 context of the severity of the impact pressure and the strength of the property design and 14 defence force able to be mounted to resist the pressure from a bushfire. The concept of 15 “defendable space” therefore implies a level of probability of success and a probability 16 of failure; it does not ensure certain safety. 17 18

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    House Ignition Likelihood Index (HILI) 1 The House Ignition Likelihood Index (HILI) was designed to quantify the level of fire 2 attack on a house for a specified fuel level within 2000 m of the house, in a given 3 topographic location, under specified weather conditions. It was felt by myself and 4 others, that the Australian Standard did not go far enough to give a realistic assessment 5 of the potential bushfire threat – called the Bushfire Attack Level (BAL) in the 6 Australian Standard (AS 3959-2009). 7 8 The House Ignition Likelihood Index does not deal with the level of resistance to 9 bushfire that might be achieved through building design and maintenance or the effect 10 of defence efforts such as fire suppression in and around a house during the time of a 11 bushfire. 12 13 The model was developed following the collection of data in the Mount Macedon area 14 which had been previously studied by Andrew Wilson following the Ash Wednesday 15 fires in 1983 (Wilson & Ferguson 1986). 16 17 Detailed site assessments were made of 38 houses in Mt Macedon, 10 of which had 18 survived the Ash Wednesday fire and 28 which had been built / rebuilt since the fire. 19 The assessments included using the approach suggested in the Australian Standard (AS 20 3959-1999) and a much more detailed assessment of the fuels and topography 21 surrounding each house. 22 23 A review of the available literature on the factors affecting house ignition was used to 24 produce a single model of house ignition likelihood. This incorporated the degree of 25 ember attack, the extent of radiant heating, the presence or absence of flame contact and 26 the presence or absence of significant convective heating. These four potential ignition 27 factors were rated separately and in combination to compute a single index – the HILI. 28 29 Unlike the Australian Standard (AS 3959), the House Ignition Likelihood Index 30 requires the vegetation to be assessed in terms of its fuel properties, including 31 consideration of the plant species and fire history of the vegetation, rather than simply 32 its structure. In HILI, fuels are divided into “suites” to recognise the fact that low levels 33 of fuel hazards close to a house may be more important than high levels of fuels far 34 away and vice versa. For example embers carried from burning stringybark trees 35 several hundred meters from a house may represent a high level of threat or shrubs up 36 against the house may represent the greatest threat. It is important to know where the 37 potential ignition sources are coming from and what the most likely ignition mechanism 38 might be. In the House Ignition Likelihood Index, the ignition factor contributing the 39 greatest threat from any of the fuel suites is included in the calculation of the index. 40 41

    Information Entered and Calculated in the HILI Spreadsheet 42 An example of the spreadsheet used to calculate the House Ignition Likelihood Index is 43 shown in Figure 2. The column on the left is where the data are entered and the column 44 on the right is where most of the calculated values are displayed. The first section in the 45 left column is where the weather conditions being used for the evaluation are entered. 46 These weather conditions need to be varied depending on the location being assessed 47 and the severity being considered. These weather conditions can also be varied to see 48

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    how different the risk of house ignition will be, for example how different it will be for 1 an “Ash Wednesday” scenario to a “Black Saturday” one. 2 3 The second section is where you enter the height of the house and the steepness of the 4 slope leading to the house. The ground slope of concern is the average slope in the 5 direction of interest which may be one to two kilometres from the house. 6 7 The third section is where the fuels in up to four suites are described using the Overall 8 Fuel Hazard Guide (McCarthy et al. 1999). For example, the first suite may deal with 9 the garden or paths closest to the house. The second suite may deal with the main 10 garden area, the third suite may be an area of modified native vegetation, and the fourth 11 suite may be an area of native forest. Typically, these fuels would be described for a 12 distance of up to two kilometres from the house, since embers will easily travel this 13 distance and it is known that houses have been ignited from embers emanating from up 14 to 700 m away. 15 16 The fourth section on the left-hand side of the table is the wind mitigation factor. This 17 takes into account the benefit of trees in locally reducing the wind speed at a house. 18 The shelter of trees affects the wind in the area of the “Suite 1” by either increasing or 19 decreasing the effective wind speed and therefore affecting the effective fire behaviour 20 in this zone. 21 22 The right-hand column shows the various calculated values for the expected fire 23 behaviour and the associated likely impact of “Convective Heat Load”, “Flame Zone 24 Contact”, “Ember Attack Load”, “Radiant Heat Load” and the combined “House 25 Ignition Likelihood Index” based on the combination of the four ignition mechanisms. 26 Fire behaviour characteristics are calculated using the McArthur fire behaviour model 27 (McArthur 1977, Noble et al. 1980). The idea of having all this information displayed 28 is that a house owner is able to identify the source of the threat and may be able to deal 29 specifically with that issue. 30 31 The HILI has been arbitrarily divided into four classes based on experience rather than 32 experimental results. A rating of “Low” means that there are likely to be only a few 33 ignition impacts on a house which would be relatively easily defended by a well 34 prepared individual. A rating of “Medium” means that there may be several possible 35 impact points that could be controlled with a concerted defence. A rating of “High” 36 means that it would be very difficult to defend this house because the number of 37 ignition points is likely to overwhelm the owner. An “Extreme” rating indicates that it 38 would be virtually impossible to defend this house under the conditions specified, with 39 any conventional fire suppression effort. 40 41 These house ignition likelihood ratings are not only dependent on the nature of the fuels 42 in the vicinity of the house, but also the weather conditions. A house that may have a 43 High house ignition likelihood under “Ash Wednesday” weather conditions may be 44 rated as Extreme under “Black Saturday” weather conditions. This means that the 45 ability to defend a house is a function of more than just the nature of the defendable 46 space around it. 47

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    1 Figure 2. An example of the worksheet used to calculate the House Ignition Likelihood 2

    Index. In this case, the probability of ignition is “Extreme” due to convective 3 heating, flame contact, embers attack and radiant heating. 4

    5 6

    House Ignition Likelihood IndexTolhurst and Howlett (2001) DRAFT (* last revised June 2009)Disclaimer

    Legend Default input House Ignition Likelihood Index 5.39Input Ignition Likelihood Rating ExtremeResults

    Inputs Outputs1 in 45 year bushfire weather Fire Behaviour Suite 1 Suite 2 Suite 3 Suite 4Air Temperature (oC) 38 Forward Rate of Spread (m/h) 1205 1506 3012 4518Relative Humidity (%) 10 Flame Height (m) 15.6 20.0 42.0 63.9Wind @ 10m in open (km/h) 50 Spotting Distance (m) 4345 5422 10211 14006KBDI 100 Fireline Intensity (kW/m) 4980 7781 31123 70026Time since rain (days) 10 Flame Length (m) 10.4 15.1 47.9 94.1Last rainfall (mm) 10 Duration (min) 0 1 13 17Fine Fuel Moisture Content (%) 3Drought Factor 10 Convective Heat LoadForest Fire Danger Index 102 102 Assumed rate of plume rise (m/min) 700

    3,000 kW/m10,000 kW/m DefaultLocal Topography Distance to convective heat (m) 2 30 100 mSlope below house (degrees) 3 Slope to house top (degrees) 63.9 10.5Height of house above slope (m) 4 Plume slope (degrees) 40.0 40.0

    Convective Heat Index (0,1,2) 1

    Local FuelsRating

    (L,M,H,VH,E)

    Equivalent Fuel Load

    (t/ha)Distance (m) Start - Stop Flame Zone Contact

    Suite 1 (adjacent to house) Flame contact Suite 1? YesSurface FF m 6 2 Flame contact Suite 2? No

    Near-surface FF l 0 10 Flame contact Suite 3? NoElevated FF m 0 5 Flame contact Suite 4? No

    Bark FF h 2 Flame Contact Index (0,1) 1Overall FF H 8

    Suite 2 (away from house)Surface FF m 6 10 Ember Attack Load

    Near-surface FF m 2 30 Max duration of ember attack (min) 216Elevated FF m 0 18 Expected duration of ember attack(min) 32

    Bark FF h 2 Max ember attack value (t*min) 13.0 Ember A.I. RatingOverall FF H 10 Local ember attack value (t*min) 10.7 0 - 0.40 Low

    Suite 3 (further away) Ember Viability (0-1) 0.85 0.41 - 0.80 MediumSurface FF h 10 30 Ember Attack Index 1.39 0.81 - 1.20 High

    Near-surface FF m 2 700 Ember Attack Class Extreme > 1.20 ExtremeElevated FF vh 6 164

    Bark FF h 2Overall FF E 20 Radiant Heat Load

    Suite 4 (surrounding vegetation) Radiation Suite 1 32.8 Radiant I.I. RatingSurface FF vh 15 700 Radiation Suite 2 13.6 < 20 0

    Near-surface FF h 4 2000 Radiation Suite 3 17.5 20-29 1Elevated FF vh 6 1200 Radiation Suite 4 2.0 >29 2

    Bark FF vh 5 Radiant Heat Flux (kW/m2) 32.8Overall FF E 30 Radiant Heat Ignition Index (0,1,2) 2

    House I.L.I. RatingWind Mitigation Factor 0 - 0.5 LowForest within 2 tree heights 0.3 House Ignition Likelihood Index 5.39 0.51 - 1.80 MediumForest within 2 to 5 tree heights 0.5 Ignition Rating Extreme 1.81 - 2.80 HighClear view to horizon or >100m cl 0.8 >2.80 ExtremeHill top, ridge top 1

    Factor here = 0.3

    This is a draft program requiring further verification. It is intended to provide a guide to house ignition likelihood. The likelihood of ignition is dependent on a complex number of factors and their interactions.There is an onus of verification and interpretation on the user as the quality of the input data and the appropriateness of the application of the model cannot be taken by the authors of this model.

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    Evidence of Accuracy of the Model 1 The House Ignition Likelihood Index has been used intensively in the Otways region by 2 Parks Victoria and the Department of Sustainability and Environment and in the Sydney 3 region by Rod Rose, a bushfire consultant. In both instances, the index has been 4 valuable in decision making, but has not been tested with bushfires. The following are 5 three case studies where the model has been tested after bushfires. 6 7 Case Study 1 8 At the time of its development, the House Ignition Likelihood Index (HILI) was used to 9 rate the 38 houses assessed at Mt Macedon. About 70% of the houses that survived Ash 10 Wednesday were rated as having a Low or Medium house ignition likelihood and those 11 classified as having and Extreme HILI only represented 10% of the Ash Wednesday 12 survivors (Figure 3). This contrasted with over 40% of the rebuilt homes being on 13 Extreme sites, indicating that many of the houses on Extreme sites had been lost on Ash 14 Wednesday. Although it is acknowledged that a few new house sites had been 15 established since Ash Wednesday and that the fuels around some houses may have been 16 different at the time of the survey than they were in 1983. The House Ignition 17 Likelihood Index still provides good predictive power of houses more likely to be 18 defendable. 19 20

    Figure 3. House Ignition Likelihood rating of 10 surviving houses and 28 new houses 21 in the Mt Macedon area burnt in 1983 (data from Howlett 2000). 22

    23 Case Study 2 24 The House Ignition Likelihood Index was also used to assess the Sheahan’s house in 25 Reedy Creek in 2004. Fuel modification around this house had dropped the House 26 Ignition Likelihood from Extreme to Moderate assuming a Forest Fire Danger Index of 27 100. This house was exposed to fire intensities of about 60,000 kW/m on Black 28 Saturday and was subjected to intense heat and embers for over an hour (Figure 8). The 29 family of four adults were able to defend their home in spite of the house catching alight 30 several times during the fire. All other houses in their neighbourhood would have had a 31 House Ignition Likelihood Index of High or Extreme and were destroyed (Figure 7). 32 33

    0.0

    10.0

    20.0

    30.0

    40.0

    50.0

    60.0

    70.0

    Low Medium High Extreme

    House Ignition Likelihood Rating

    Perc

    ent o

    f Tot

    al

    NewSurvivors

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    1 Figure 4 a & b. Forest to south of Sheahan’s house before and after “Black Saturday”. 2

    This forest extended for 1 km to the valley on an average slope of 25 3 degrees. 4

    5

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    1 Figure 5. View of house from entrance gate before fire (2004). Extent of clearing 2

    evident. Plans were in place to plant low-flammability tree species in this 3 area with grazed grass underneath. 4

    5

    6 Figure 6. Fuel management zones around house as indicated to be needed by HILI. 7

    Blue area is low fuel area and yellow area is woodland with grassy 8 understorey. Designed for a Forest FDI of 100. 9

    10

    Fig. 4

    Fig. 5

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    1 Figure 7. Google Earth aerial photo of Reedy Creek showing the location of the 2

    Sheahan property (yellow circle) and location of buildings destroyed by the 3 Black Saturday fire (red crosses). 4

    5

    6 Figure 8. Satellite image of Reedy Creek area after the Black Saturday Kilmore East fire 7

    showing the burn severity in the vicinity of the Sheahan property (yellow 8 circle). The fire approached from the south after the wind change. 9

    10

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    Case Study 3 1 I made a similar analysis of Wesley College’s Chum Creek Camp in 2003. The 2 recommendations of my report to reduce the fuel hazards to Moderate or less in the 3 vicinity of the dormitories and main buildings were all acted upon. On Black Saturday, 4 the East Kilmore fire approached the camp from the west with average flame heights of 5 about 4 metres (Figure 9). The fuel modified zones were sufficient to prevent the fire 6 impinging on the dormitories (Figure 10). 7 8

    9 Figure 9. Forest burnt as fire approached school camp buildings from the west at 10

    Chum Creek Camp, Wesley College. Average flame heights were estimated 11 to be 4 metres. No fuel modification in this zone. 12

    13 On days subsequent to Black Saturday, fire approached the camp from the east. Fuel 14 modified areas such as those shown in Figure 11, made it easy to prevent the fire 15 burning any closer to the facilities. These fuel modified areas were defendable zones. 16 A combination of slashing, manual removal of fuels, prescribed burning and selective 17 planting/thinning of trees are used to modify the fuel hazard levels. The bush character 18 of the site has been maintained. 19 20 As a contingency, a significant fire shelter was built on the site in a carefully planned 21 location (Figure 12). A few essential facilities such as water, toilet and first aid kit are 22 stored in the shelter (Figure 13). The preferred plan is to evacuate the site early, but if 23 this is not possible, then it is planned to use the shelter. No school children were at the 24 camp on Black Saturday and the staff evacuated before fire reached the camp and 25 returned Sunday morning and blacked-out areas still burning. 26 27 In the absence of the defendable space, the dormitories and other buildings are likely to 28 have been destroyed. 29

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    1 Figure 10. Flame height reduced to 0.5 metres and less in fuel modified zone within 30 2

    metres of dormitories. Only peppermint eucalypts retained in this area; no 3 stringybark species to generate embers. Chum Creek Camp, Wesley College. 4

    5

    6 Figure 11. Fuel modified zone on north east side of buildings. Fire approached camp 7

    from east on subsequent days but was easily held on these fuel breaks – 8 slashed in foreground, prescribed burnt in gully. Chum Creek Camp, Wesley 9 College. 10

    11

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    1 Figure 12. Emergency fire shelter (centre) at Chum Creek Camp, Wesley College. 2

    Planned to be used if early evacuation not possible. 3 4

    5 Figure 13. Inside the emergency fire shelter at Chum Creek Camp, Wesley College. 6 7

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    Benefits and Limitations of the House Ignition Likelihood Index 1 The House Ignition Likelihood Index provides a better fire context in which to assess 2 house defendability than other existing models and guidelines. Specifically: 3 • Fuels are explicitly assessed as fuels and fed into the fire behaviour calculations. 4 • It is applied individually to each house site and will consistently apply the same 5

    method of evaluation to different houses. 6 • The HILI also allows for “what if ?” scenarios to be explored so that limits of 7

    defendable space effectiveness can be tested and weakest links identified. 8 • The HILI calculation is not limited to a specific range of slope, weather, fuel or 9

    other input conditions as are some other models. 10 11 Limitations of the HILI include: 12 • A need for the user to be competent in assessing bushfire fuels and understanding 13

    the possible fire weather conditions for the site being assessed. This requires a 14 certain level of expertise that may not be held by all house owners, firefighters, or 15 municipal officers. 16

    • HILI is also based on a range of published and unpublished impact models which 17 have not been fully validated. Field validation is required to improve the 18 confidence in the index and the ratings it produces. 19

    • The HILI only deals with issues concerned with the level of “pressure” on house 20 survival, it does not deal with the level of “resistance” that can be mounted through 21 planning, design and intervention during a fire. 22

    23 24

    Other Models 25

    Australian Standard AS 3959-2009 26 The Australian Standard (AS 3959-2009) uses an assessment of the potential “Bushfire 27 Attack Level” (BAL), as a basis for determining the need for different design features in 28 buildings in bushfire-prone areas. 29 30 The Bushfire Attack Level is based on an assumed Forest Fire Danger Index of 100 for 31 all of Victoria except alpine areas were an index of 50 is assumed. This sets a design 32 condition, but the likelihood of an FDI of 100 will vary across the State and as a 33 consequence the level of design protection will also vary across the State. Weather 34 conditions where the FDI exceeds 100 are not considered. 35 36 The second step in determining the Bushfire Attack Level is to assess the vegetation. 37 The assumption here is that the fuel hazard level is directly related to the vegetation 38 structure. This is not the case. Two vegetation types of similar structure can have very 39 different fuel characteristics depending on the fire history in the area, the species 40 present, the age of the vegetation and a range of other factors. The assessment of the 41 vegetation structure on its own is not a good measure of fuel characteristics. 42 43 Vegetation more than 100 m from a house or strips of vegetation less than 20 m wide 44 and more than 20 m from a house (such as roadside and streamside vegetation) are not 45 considered. Research shows that embers and heat from fires as far away as 700 m can 46

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    be sufficient to destroy houses. The 100 m limit may have some administrative benefit, 1 but it does not acknowledge the real bushfire threat. 2 3 The way in which slopes are considered in the Standard, assume relatively low intensity 4 and small-scale fires. We know that most house loss occurs in high intensity, large-5 scale fires. Sites where the ground slope is greater than 20 degrees (such as the Sheahan 6 property at Reedy Creek) are not considered. 7 8 The maximum fine fuel loads for any vegetation type is taken to be 35 t/ha. In wetter 9 forest types (e.g. Yarra Ranges, South Gippsland, Otways) during drought, the available 10 fine fuel load could be 50 t/ha. The Standard, therefore, significantly under-estimates 11 the potential fire intensity in these forest types. 12 13

    Wilson’s House Survival Meter (1987) 14 Wilson’s House Survival Meter (Appendix 1) calculates the probability of an individual 15 house surviving in a bushfire; based on the slope of the ground and fine fuel levels in 16 close proximity to the house, the building materials used in the walls and roof of the 17 house, the presence or absence of someone actively defending the house and the 18 presence or absence of trees or other flammable material such as wood heaps or sheds 19 within close proximity of the house. The survival probability is based on the experience 20 of the 1983 Ash Wednesday fires at Mt Macedon. 21 22 This model provides a guide to the chances of a house surviving in a bushfire and 23 enables the importance of various contributing factors to be explored. The inputs to this 24 model are largely factors that can be controlled by the house owner and do not include 25 the contribution of fuels and fire behaviour on neighbouring property such as State 26 Parks or Forests. 27 28 Considerably more research and surveys have been conducted since Wilson’s work on 29 house survival. However, the general relationships and the main contributing factors 30 have held true. The importance of house-to-house ignition has been highlighted as an 31 important factor in more recent fires (e.g. Blanchi & Leonard 2005), and this has not 32 been specifically included in Wilson’s model. 33 34

    Project Vesta Model 35 The VESTA fire behaviour model is based on field experiments in Western Australia 36 (Gould et al. 2007a, b). This model gives estimates of fire behaviour such as spread 37 rate and spotting distances which can be used to evaluate the bushfire intensity and 38 severity at houses in forested environments. 39 40 A range of other fire behaviour models can also be used for estimating the likely 41 characteristics of bushfires. Some models have been developed for specific fuel types 42 such as pine plantations, heathlands, and grasslands. 43 44

    Guidelines for Building in a Wildfire Management Overlay Area 45 The Country Fire Authority (CFA) produced guidelines for building design and 46 vegetation management in areas identified as having a high level of bushfire risk (CFA 47

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    2007). Residential development in areas covered by a Wildfire Management Overlay 1 have specific planning permit controls managed by local governments. Developments 2 in a Wildfire Management Overlay area are subject to restrictions on building design, 3 location and ongoing site management. 4 5 The assumed design fire-weather conditions for the guidelines is not specified (I would 6 assume it is for a Forest Fire Danger Index of 100), but it is uniformly applied across 7 Victoria. 8 9 Fuels are divided into just two categories: “lower risk” and “higher risk”. Fuels are not 10 specifically assessed and it is assumed that vegetation structure is strongly related to 11 fuel characteristics which it is often not the case. Fuels are only assessed within 100 m 12 of a house so it is mainly concerned with the impact of flame contact and radiant heat 13 not ember attack. 14 15 Slope steepness is not specifically considered. Slopes are categorised as being 16 “up slope”, “down slope” or “flat”. Fire intensity varies greatly with slope steepness, so 17 by not including this, the assumed intensity could vary by a factor of 10 from the 18 “design” conditions. 19 20 The extent of defendable space is divided into two zones. The inner zone extends for 21 10 m from the house in all directions and the outer zone will extend up to an additional 22 85 m depending on the slope and vegetation present. (I believe that the extent of the 23 inner zone is less than 10 m in some areas such as the Yarra Ranges and in alpine 24 resorts). No specific fuel levels are given for either zone, but it is assumed that the fuels 25 in the inner zone will be modified: “to eliminate direct flame contact from the 26 vegetation in the outer zone, and reduce radiant heat, fire intensity and ember attack to 27 a level where the house is unlikely to be ignited from passage of wild fire.” The purpose 28 of the outer zone is: “to moderate the fire behaviour so that the inner zone vegetation 29 management is effective.” The problem with limiting the planning considerations to the 30 area within 100 m of the house is that under severe conditions such as Black Saturday, 31 the fire can be impacting on a house while it is a kilometre or more away from the 32 house. The nature of a fire within 1 to 2 kilometres of a house will determine how 33 effectively a house owner can defend their home if the fire conditions are extreme. 34 35

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    Conclusions 1 The concept of “Defendable Space” makes the assumption that it is possible to establish 2 an area around a house where it will be safe to actively defend you home during a 3 bushfire. It does not assume that your home will be saved, but the chances of the house 4 surviving are increased. It does assume that your personal safety is assured. 5 6 Defendable space can only be considered in the context of the nature and extent of the 7 fire and the severity of the weather conditions on one side, and the adequacy of the 8 design and maintenance of a house and the level of active defence that can be mounted 9 during a bushfire, on the other. Whether or not a house is defendable is a function of 10 the interplay of all these factors. 11 12 Most existing standards, prescriptions, guidelines and models do not adequately 13 consider the full array of interacting factors. Most definitions of “defendable” are for a 14 fixed set of conditions without the flexibility of being able to reassess the degree of 15 defendability under different sets of circumstances such as more severe weather 16 conditions. 17 18 The House Ignition Likelihood Index incorporates a greater degree of flexibility in 19 assessing the degree of defendability in an unlimited range of conditions. To date, the 20 HILI has provided good guidance to the level of defendability, but it needs more 21 extensive testing. 22 23 Fuels need to be assessed as such and not indirectly as vegetation types. There are 24 specific properties of fuels not adequately accounted for in broad vegetation 25 descriptions, but which are critical to fire behaviour. 26 27 Fuels and site conditions need to be assessed beyond 100 m of a house to give a realistic 28 evaluation of the potential fire impact. In Extreme fire events, when most house losses 29 have historically occurred, the nature of the fire up to two kilometres away is important 30 to the defendability of a house. 31 32 There is a need to have a certain level of expertise to competently assess the degree of 33 house defendability. This level of expertise is often not locally available. 34 35 Life saving options when the level of defendability is exceeded need to be considered. 36 These considerations should include the use of fire shelters and provision of safe access 37 and egress from houses to safe areas. 38 39 A link should be made between warning messages, given out by fire agencies and the 40 Bureau of Meteorology, and the level of defendability people know they have at their 41 home. 42 43 Defendability needs to be communicated as a conditional concept, not a guarantee. 44 45

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    References 1 2 Blanchi, R. and Leonard, J. (2005) Investigation of bushfire attack mechanisms resulting in 3

    house loss in the ACT bushfire 2003. Bushfire CRC Report, 61pp. 4 http://www.bushfirecrc.com/publications/D_Blanchi.pdf 5

    CFA (2007) Building in a Wildfire Management Overlay – Applicant’s Kit 2007. Country Fire 6 Authority, Victoria. 26pp. 7

    Gould, J.S., McCaw, W.L., Cheney, N.P., Ellis, P.F. and Matthews, S. (2007a) Field Guide – 8 Fuel Assessment and Fire Behaviour Prediction in Dry Eucalypt Forest. Interim 9 Edition 2007. Ensis-CSIRO, Canberra ACT, and Department of Environment and 10 Conservation, Perth WA. 84pp. 11

    Gould, J.S., McCaw, W.L., Cheney, N.P., Ellis, P.F., Knight, I.K. and Sullivan, A.L. (2007b) 12 Project Vesta – Fire in Dry Eucalypt Forest: Fuel Structure, Fuel Dynamics and Fire 13 Behaviour. Ensis – CSIRO, Canberra ACT, and Department of Environment and 14 Conservation, Perth WA.. 218pp. 15

    Howlett, K.A. (2000) A critical review of the Bushfire Attack Assessment Methodology used 16 for sites deemed to be situated within a Bushfire-prone Area by Standards Australia in 17 AS 3959-1999. 86pp. Honours project, B.For.Sc., University of Melbourne. 18

    McArthur, A.G. (1977) Forest Fire Danger Meter, Mk.5. Forestry and Timber Bureau, 19 Canberra, Australia. 20

    McCarthy, G.J., Tolhurst, K.G. and Chatto, K. (1999). Overall Fuel Hazard Guide. Third 21 Edition. Fire Research Report No. 47, Department of Sustainability and Environment, 22 Victoria. 28pp. 23

    Noble, I.R., Bary, G.A.V. and Gill, A.M. (1980) McArthur's fire danger meters expressed as 24 equations, Aust. J. Ecol., 5:201-203. 25

    Tolhurst, K.G. and Howlett, K.A. (2003) House Ignition Likelihood Index - An Hazard 26 Assessment Method for Land Managers in the Wildland-Urban Interface. 3rd 27 International Wildland Fire Conference and 10th Annual AFAC Conference, 2-6 28 October 2003, Sydney, Australia. 10pp.. 29

    Wilson, A.A.G. (1988) A simple device for calculation the probability of a house surviving a 30 bushfire. Australian Forestry 51(2), 119-123. 31

    Wilson, A.A.G. and Ferguson, I.S. (1986) Predicting the probability of house survival during 32 bushfires. Journal of Environmental Management 23, 259-270. 33

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    Appendix 1 – Wilson’s House Survival Meter, 1987 1

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