scholarly journals A framework for prioritising prescribed burning on public land in Western Australia

2020 ◽  
Vol 29 (5) ◽  
pp. 314
Author(s):  
Trevor Howard ◽  
Neil Burrows ◽  
Tony Smith ◽  
Glen Daniel ◽  
Lachlan McCaw

A risk-based framework for targeting investment in prescribed burning in Western Australia is presented. Bushfire risk is determined through a risk assessment and prioritisation process. The framework provides principles and a rationale for programming fuel management with indicators to demonstrate that bushfire risk has been reduced to an acceptable level. Indicators provide targets for fuel management that are applicable throughout the state and can be customised to meet local circumstances. The framework identifies eight bushfire risk management zones having broad consistency of land use, fire environment and management approach, which combine to create a characteristic risk profile. Thirteen fuel types based primarily on structural attributes of the vegetation that influence fire behaviour are recognised and used to assign models for fuel accumulation and fire behaviour prediction. Each bushfire risk management zone is divided into fire management areas, based on the management intent. These are areas where fuels will be managed primarily to minimise the likelihood of fire causing adverse impacts on human settlements or critical infrastructure, to reduce the risk of bushfire at the landscape scale or to achieve other land management outcomes. Indicators of acceptable bushfire risk are defined for each fire management area and are modified according to the distribution of assets and potential fire behaviour in the landscape. Risk criteria established in the framework can be converted to spatially represented targets for fuel management in each zone and can be reported against to measure the effectiveness of the fuel management program. In areas where the primary intent is to reduce the risk of bushfire at the landscape scale, managers have flexibility to apply prescribed fire in ways that maintain and enhance ecosystem services, nature conservation and landscape values through variation in the seasonality, intensity and scale of planned burning.

Author(s):  
Mark Leir ◽  
Michael Reed ◽  
Eugene Yaremko

Terasen Pipelines (Terasen) owns and operates an 1146 km low vapour pressure petroleum products pipeline between Edmonton, Alberta and Burnaby, British Columbia. Its right-of-way passes through some of the most geotechnically, hydrotechnically, and environmentally challenging terrain in Western Canada. This paper describes the latest advancement of a natural hazards and risk management database application that has supported a 6-year hazard management program to quantitatively assess and prioritize the geotechnical and hydrotechnical risk along the pipeline. This database was first reported at IPC 2002 in a paper entitled “Natural hazard database application — A tool for pipeline decision makers” [1]. This second paper describes the advancements since then, including the addition of the Hydrotechnical Field Inspection Module (FIM), an add-on tool that allows field inspection observations to adjust hazard and vulnerability. This paper discusses the challenges in building a methodology that is practical enough for field maintenance personnel to use yet sufficiently comprehensive to accurately describe improving or worsening hydrotechnical hazard conditions. Functionality to enter hazard inspection data, review inspection results in the office, and authorize changes to the hydrotechnical hazard probabilities are described in the paper and demonstrated in the conference presentation. The relationship between revised hazard, vulnerability, risk, and response thresholds (such as inspection frequency, monitoring, site surveys, or mitigation) are demonstrated using a river crossing with a dynamic hazard history. As in previous years, this paper is targeted to pipeline managers who are seeking a systematic hazard and risk management approach for their natural hazards.


2014 ◽  
Vol 23 (8) ◽  
pp. 1097 ◽  
Author(s):  
Eva Marino ◽  
Carmen Hernando ◽  
Javier Madrigal ◽  
Mercedes Guijarro

Fuel management is one of the main challenges for wildfire prevention in the Mediterranean region, where wildfires have important environmental and socioeconomic effects. Different treatments are usually applied in fire-prone shrubland to try to modify its flammability. However, a knowledge gap on the effectiveness of fuel management techniques still exists. We studied the effects of two mechanical treatments (shrub crushing and shrub clearing with removal) and of prescribed burning, on fire behaviour, and compared them with untreated vegetation. Experimental burns in 0.8 × 6 m samples of regenerated shrubs 2 years after treatments were performed in an outdoor wind tunnel. All fuel treatments effectively modified fire behaviour, but no significant difference between treatment types was observed. Shrub fuel structure was the main factor affecting fire behaviour. Reduction of fuel load and height, especially necromass fraction, decreased flame height and fire intensity but did not affect fire rate of spread. Moisture contents of live and dead fuel fractions were not significant as independent parameters, but the average moisture level of the shrub fuel complex showed a relevant effect in determining fire behaviour. Temperature regime within and above the shrubs was also related to shrub fuel structure. This study contributes to understanding fuel management in shrubland by providing information about different fuel treatments effects on fire behaviour.


2020 ◽  
pp. 111-136
Author(s):  
Manuela Lucchese ◽  
Giuseppe Sannino ◽  
Paolo Tartaglia Polcini

2001 ◽  
Vol 10 (2) ◽  
pp. 241 ◽  
Author(s):  
Jon B. Marsden-Smedley ◽  
Wendy R. Catchpole

An experimental program was carried out in Tasmanian buttongrass moorlands to develop fire behaviour prediction models for improving fire management. This paper describes the results of the fuel moisture modelling section of this project. A range of previously developed fuel moisture prediction models are examined and three empirical dead fuel moisture prediction models are developed. McArthur’s grassland fuel moisture model gave equally good predictions as a linear regression model using humidity and dew-point temperature. The regression model was preferred as a prediction model as it is inherently more robust. A prediction model based on hazard sticks was found to have strong seasonal effects which need further investigation before hazard sticks can be used operationally.


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