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Layer: Potential Control Location - Integrated (Top Quantile Only) (ID:4)

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Name: Potential Control Location - Integrated (Top Quantile Only)

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Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: <div style="text-align:Left;"><div><div><p style="margin:0 0 11;">PCL boundaries are part of a wildfire transmission analysis that comprises the Tier I success metric within the Wildfire Crisis Strategy Prioritization Framework for the Mount Hood National Priority Landscape (NPL). This transmission analysis models the origin points of fires that burn communities, key infrastructure, and drinking water sources, how they move across the landscape, and what potential control lines they cross. Summarizing these results within Potential Operational Delineations (PODs) will allow prioritization of area-based treatments within PODs. Summarizing transmission along PCL boundaries will help support strategic decision-making, suppression effectiveness, and reduce firefighter exposure during wildfire response.</p><p style="margin:0 0 11;">The analysis utilizes fire simulation output from the Pacific Northwest Quantitative Wildland Fire Risk Assessment (QWRA) (McEvoy et al., 2023) conducted by Pyrologix, specifically the ignitions and associated perimeters from the Large Fire Simulator (FSIM), and select values data compiled for the QWRA Highly Valued Resources and Assets (HVRAs).</p><p style="margin:0 0 11;">PODs were selected from the Forest Service <a href="https://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/Nat_PODs_Public/FeatureServer" target="_blank"><u>national feature service</u></a> dataset on 3/21/2024. FSIM ignitions and perimeter data were based on the 12/15/2022 event set. HVRA point data was converted to a grid representing number of structures per grid cell (sum). HVRA line and polygon data was also converted to a grid where each grid cell was given a value of one. Grid resolution was ninety meters. Only ignitions-perimeters originating within PODs that intersected the analysis area were utilized.</p><p style="margin:0 0 11;"><i>Potential Control Location Prioritization</i></p><p style="margin:0 0 11;">Potential Control Lines were prioritized by simply summing the perimeter HVRA counts (number of values which intersect each perimeter) from those perimeters that intersected each PCL and then normalizing/rescaling using the same process as above. It should be pointed out there is no consideration of flow direction in this process i.e., PCL received the HVRA perimeter sum even if they were not between the ignition and the PCL.</p><p style="margin:0 0 11;"><i>Potential Operational Delineation Prioritization</i></p><p style="margin:0 0 11;">For each HVRA value, grid zonal statistics were performed on each perimeter to obtain the sum of total impacted, regardless of land ownership or analysis area boundary. The sum of structures per ignition (perimeter) was then divided by the total number of ignition iterations to normalize across Fire Occurrence Areas.</p><p style="margin:0 0 11;">Finally, the number of structures per ignition iteration were summed by POD, and then divided by the total number of ignitions within the POD to normalize across PODS and multiplied by ten thousand (majority FOA iterations) to rescale the value to represent a relative number of HVRA impacted per uncontrolled fire per POD. This value was then rescaled again to between zero and one so that HVRA could be combined based on relative importance and/or HVRA type.</p><p style="margin:0 0 11;">2023 PNW QWRA Methods Report: <a href="https://oe.oregonexplorer.info/externalcontent/wildfire/PNW_QWRA_2023Methods.pdf" target="_blank"><u>https://oe.oregonexplorer.info/externalcontent/wildfire/PNW_QWRA_2023Methods.pdf</u></a></p><p style="margin:0 0 11;">Primary Data Contact: Ian Rickert, Regional Fire Planner, Forest Service R6/R10, <a href="mailto:ian.rickert@usda.gov"><u>ian.rickert@usda.gov</u></a></p><p style="margin:0 0 11;">Citations:</p><p style="margin:0 0 11;">McEvoy, Andy; Dunn, Christopher; Rickert, Ian. 2023 PNW Quantitative Wildfire Risk Assessment Methods (2023). [Unpublished Manuscript].</p></div></div></div>

Copyright Text: U.S. Forest Service; McEvoy, Andy; Dunn, Christopher; Rickert, Ian. 2023 PNW Quantitative Wildfire Risk Assessment Methods (2023)

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Last Edit Date: 12/11/2024 10:29:49 PM

Schema Last Edit Date: 4/2/2024 2:10:21 AM

Data Last Edit Date: 4/2/2024 2:10:21 AM

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