Inquiry Search
Rec-ID | Code | Recommendation |
---|---|---|
REC315-3832 | 8 - Communications and warnings | That, in order to improve the provision of evidence-based public health messaging about air quality during bush fire events, Government develop a public education campaign and supporting systems before the next bush fire season. This should include: |
REC315-3847 | 17 - Assets and technology | That, in order to ensure Australia’s fire fighting aerial capacity capitalises on existing assets and is made up of the right mix, Government: |
REC315-3802 | 26 - Research | That Government establish NSW as a major world centre of bush fire research, and technology development and commercialisation. This should include: |
REC315-3868 | 33 - Relief and recovery | That, in order to ensure people only need to tell their story once to access government agency support following an emergency, Resilience NSW and Service NSW jointly design an inclusive, person-centred approach to information collection at evacuation centres. This should be supported by an opt-in scheme enabling personal information to be shared between NSW government agencies, local councils and non-governmental organisations administering support services for disaster-affected people. |
REC315-3831 | 26 - Research | That, in order to capture and understand the impacts of bush fire smoke better, Government invest in operational air quality forecasting and alert systems, and public health research and policy development. This would involve investment to: |
REC315-3845 | 26 - Research | That Government commission further research on the potential risks and benefits of backburning during severe, extreme and catastrophic conditions and/or in particular terrain, and that the NSW RFS use this research to inform future backburning protocols and training. |
REC315-3801 | 13 - Mapping and data quality | That, in order to improve capability to detect ignitions and monitor accurately all fire edge intensity and progression automatically across the State in near real time, Government establish a spatial technology acceleration program to maximise the information available from the various remote sensing technologies currently in use and to plan for inclusion of new remote sensing systems that can sense precisely and rapidly through heavy smoke, cloud, fog and dust. This will require work within the State and with partners nationally and internationally. |
REC315-3865 | 8 - Communications and warnings | That the NSW RFS include the following priorities in the Fires Near Me improvements roadmap: |
REC315-3819 | 13 - Mapping and data quality | That, as part of the spatial technology acceleration program, Government support deployment of remote sensing and picture processing technologies to monitor and audit how well Asset Protection Zones and defendable space are being maintained, especially around towns. |
REC315-3843 | 17 - Assets and technology | That, in order to improve early fire suppression, the NSW RFS trial initial aerial dispatch in areas of high bush fire risk. The trial should identify the most appropriate and cost-effective mix of aircraft, and any associated infrastructure improvements that would be required. |
REC315-3800 | 13 - Mapping and data quality | That the NSW Government, along with other Australian governments, ask AFAC to establish a national bush fire database. This database would enable: |
REC315-3862 | 8 - Communications and warnings | That, in order to improve information flows and increase public awareness of ABC emergency broadcasts, Government: |
REC315-3818 | 26 - Research | That, in order to improve understanding of optimal hazard reduction techniques and their application in the landscape: |
REC315-3837 | 17 - Assets and technology | That, in order to improve firefighter safety, Government fire authorities: |
REC315-3849 | 17 - Assets and technology | That, in order to enhance NSW’s fire fighting capacity, Government trial aerial fire fighting at night in the 2020-21 season with a view to full implementation if successful. |
REC315-3815 | 17 - Assets and technology | That, in order to equip NSW RFS with comprehensive information on all structures and assets at risk of bush fire, Government ensures that: |
REC315-3836 | 17 - Assets and technology | That, in order to ensure frontline personnel have appropriate personal protective clothing during bush fires: |
REC315-3848 | 17 - Assets and technology | That, in order to enhance NSW’s ability to improve situational awareness, Government expand FRNSW’s Remotely Piloted Aerial Systems (RPAS) capability (both capital assets and trained operators) to major regional centres and ensure the NSW RFS and other NSW government agencies can access this capability as required. |
REC315-3811 | 8 - Communications and warnings | That in order to provide greater consistency in public information and warnings, especially in border areas: |
Rec-ID | Code | Recommendation |
---|---|---|
REC260-1050 | 13 - Mapping and data quality | Alternatively, I recommend that the RFS consider developing such capacity to deploy weather balloons itself, in conjunction with mobile weather stations, for this purpose. |
REC260-1049 | 13 - Mapping and data quality | That the Rural Fire Service consider proposing an arrangement with the Bureau of Meteorology to deploy weather balloons specifically for the purpose of assessing atmospheric instability during periods of severe to catastrophic fire danger in locations most likely to be severely affected, for example, areas in which a very high C-Haines index reading is registered and local fires have been identified. |
REC260-1059 | 8 - Communications and warnings | That the Rural Fire Service and National Parks and Wildlife Service consider amending their protocols for upgrading advices to higher levels to emphasise the significance and urgency of raising warning levels as soon as the potential dangers of fire to lives or property materially increase. |
REC260-1051 | 8 - Communications and warnings | That the Rural Fire Service consider redrafting the disclaimer in its fire predictions to make abundantly clear where the potential errors or omissions may affect the prediction and how to detect them if they are there (for example, by comparing them with linescans) and what other factors (such as VLS) may affect the predictions and in what way. |