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Simulation for fire behaviour, Using historical data

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Simulation for fire behaviour, Using historical data

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Restore affected area, Damage assessment

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Restore affected area, Damage assessment

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Prescribed burns, Fuel Management, Community Engagement

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Prescribed burns, Fuel Management, Community Engagement

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B: Unified understanding and appreciation of what "restoration" means.

S: Dynamic land cover change (e.g. from Earth System Models)

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S

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B: Data availability

C: Availability of Resources

S: Run Awareness training campaigns

T: Mock exercises /simulation tests

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B: Fire is a very complex natural phenomena with factors that vary in time and space and are not totally understood.

C: To improve data quality and fire behaviour models.

S: Inter disciplinary approaches.

T: Plataform integrating data, fire behaviour models and the approaches.

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B: Limitations of the present generation of subseasonal-to-seasonal (s2) climate forecasts

C: Improved early warning systems.

S (& T?): ML applications (in s2s forecasting)

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B: Lack of data

C: Reliability of historical/observed data

Improving data assimilation system, Improving modelling/prediction system

Improving model evaluation frameworks

S: citizen science / in-situ monitoring / generation of large-scale/global datasets

New statistical/AI techniques

Multi-model Multi-metric intercomparison framework

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B: changing climate, land use and land tenure, political will

C: definition of restoration objectives, long-term sustainability

S: assessment by experts, stakeholder engagement, available resources for restoration depending on location and ecosystems

T:

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In general: what are the core building blocks needed to do effective and efficient wildfire risk management? I think a good and close to real-life simulation of fire (as presented today) that can be used in real-time is the basis. AI (supervised and unsupervised learning) could be used potentially?. 

# data[].attributes.subject
In general: what are the core building blocks needed to do effective and efficient wildfire risk management? I think a good and close to real-life simulation of fire (as presented today) that can be used in real-time is the basis. AI (supervised and unsupervised learning) could be used potentially?. 

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B: wildfires are not like the other hazards and they dont have return period

C: we may have different trends for spreading wildfires with rispect to seasons

T: using historical fires and analysing them for finding the causes by QGIS
and treating the fuels

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Organize the "network" in such a way to mitigate possible future fires, e.g. fire breaks, watch towers, organize logistics/supply chain accordingly. 

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Organize the "network" in such a way to mitigate possible future fires, e.g. fire breaks, watch towers, organize logistics/supply chain accordingly. 

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Technology: artificial intellegent to send signal to the firefighters to be aware 

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Technology: artificial intellegent to send signal to the firefighters to be aware 

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T: using susciptibility maps, hazard maps, and risk maps

also using EWS tools like FWI

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Effective response methods, based on real-time decisions (e.g. MDP or reinforcement learning => policies)

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Effective response methods, based on real-time decisions (e.g. MDP or reinforcement learning => policies)

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T: using fire spread simulator

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Barriers

1. Resource Limitations:

• Insufficient Equipment and Personnel: In large-scale fire events, there is often a shortage of firefighting equipment and trained personnel, hindering swift response efforts.

2. Infrastructure Deficiencies:

• Evacuation Routes and Shelters: Many areas lack adequate evacuation routes and shelters, making it difficult to ensure the safe evacuation of a large number of residents.

Challenges

1. Rapidly Changing Fire Conditions:

• Fast Fire Spread: The rapid spread of fire presents significant challenges for suppression and evacuation efforts, requiring timely information and quick decision-making.

2. Public Awareness and Cooperation:

• Evacuation Difficulty: Residents may not take evacuation orders seriously or cooperate effectively, leading to inefficient evacuation processes and increased risk of casualties.

Solutions

1. Enhance Resource Allocation:

• Increase Firefighting Equipment and Personnel: Governments and relevant agencies should invest more in firefighting equipment and personnel to ensure adequate resources are available during fire emergencies.

2. Improve Infrastructure:

• Build Evacuation Routes and Shelters: Proactively plan and construct sufficient evacuation routes and shelters to ensure residents can evacuate safely during fires.

Techniques

1. Real-time Monitoring and Alert Systems:

• Fire Monitoring Technology: Utilize drones, satellites, and ground sensors for real-time fire monitoring and early warning, enhancing the speed and effectiveness of suppression and evacuation responses.

2. Public Information Platforms:

• Emergency Information Dissemination Systems: Establish efficient emergency information dissemination systems, using multiple channels like SMS, social media, and broadcasts to inform the public about fire situations and evacuation orders, thereby improving public cooperation.

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T: Use of remote sensing

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Suggestion: to have high towers to know whats happenning 

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Suggestion: to have high towers to know whats happenning 

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In case it's useful, terminology used in the United Nations is as follows:

Review and Analysis (Prediction)

Risk Reduction (Prevention)

Readiness (Preparation)

Response to fires

Recovery

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B: often lack of funding

C: in many countries, fire effectives not employed out of the fire seasons, also fire seasons becoming longer

S: some countries already shifting paradigm from suppression to prevention >> more funding allocated to prevention activities; awareness raising campaigns and training of rural population and visiting people (very relevant in countries with tourism coming from countries where fire is not such a problem)

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S: early warning systems that include not only fire danger rating but also local population engagement, prevention activities for risk reduction around vulnerable populations (WUI), evacuation planning established in advance

T: some countries having mobile apps, or SMS system to alert of the start of a fire in remote areas