Quantitative Wildfire Risk Assessment (QWRA) Output Reports

Quantitative Wildfire Risk Assessment (QWRA) Reports are generated from My Workspace (see Generating and Viewing Reports for instruction on how to create reports).

QWRA Reports have four primary sections:

  • Conditional Weighted Net Value Change (NVC)
  • Expected Weighted Net Value Change (NVC)
  • Response Functions
  • Relative Importance

Conditional Weighted Net Value Change (NVC)

The Conditional Weighted NVC map, bar chart, and table represent risk at the individual pixel level. Each pixel's fire intensity level (proportion of flame length), Primary/Sub-HVRA relative importance, and Sub-HVRA response functions are taken into account. In cases where multiple Sub-HVRA's overlap, the net effects for that pixel are displayed. Values are binned into classes based on orders of magnitude.

Conditional Weighted NVC provides an overview of the relative magnitude and distribution of risk without taking burn probability into account.

Important! Conditional Weighted NVCs are calculated using fire intensity level (proportion of flame length), relative importance, and HVRA response functions - burn probability is not taken into account.

Conditional weighted NVC map in the background with a bar chart displaying the same data in the foreground.

Cumulative Conditional Weighted NVC

Cumulative Conditional Weighted NVC differs from Conditional Weighted NVC in that the values represent the calculated total (sum) threat and/or benefit rather than binned classes. Both threat and benefit are displayed and in some cases one may offset the other resulting in a positive, negative, or zero Cumulative Net Value Change. The % of Max is normalized based on the highest threat or benefit value for the analysis.

These products provide a useful way to summarize magnitude of Cumulative Conditional Weighted NVC for the analysis area or across Sub-HVRAs. These metrics are not directly comparable across analyses but do provide an approximation of the over-all quantification of risk without factoring in burn probability.

cumulative conditional weighted NVC bar charts displaying data for the landscape (top) and sub-hvras (bottom).

Expected Weighted Net Value Change (NVC)

Expected Weighted NVC combines Conditional Weighted NVC and Burn Probability. The map, bar chart, and table represent risk at the individual pixel level. Each pixel's burn probability, fire intensity level (proportion of flame length), Primary/Sub-HVRA relative importance, and Sub-HVRA response functions are taken into account. In cases where multiple Sub-HVRA's overlap, the net effects for that pixel are displayed. Values are binned into classes based on orders of magnitude.

Expected Weighted NVC provides an overview of the relative magnitude and distribution of risk.

Important! Expected Weighted NVCs for each pixel are calculated using fire intensity level (proportion of flame length), relative importance, HVRA response functions, AND burn probability.

Expected weighted NVC map in the background with a bar chart displaying the same data in the foreground.

Cumulative Expected Weighted NVC

Cumulative Expected Weighted NVC differs from Expected Weighted NVC in that the values represent the calculated total (sum) threat and/or benefit rather than binned classes. Both threat and benefit are displayed and in some cases one may offset the other resulting in a positive, negative, or zero Cumulative Expected Net Value Change. The % of Max is normalized based on the highest threat or benefit value for the analysis.

These products provide a useful way to summarize magnitude of Cumulative Expected Weighted NVC for the Analysis Area or across Sub-HVRAs. These metrics are not directly comparable across analyses but do provide an approximation of the over-all quantification of risk for a particular analysis.

cumulative expected weighted NVC chart displaying data for the landscape (top) and each sub-hvra (bottom).

Mean Burn Probability x Mean Conditional Weighted NVC - Sub-HVRA

The graph provides a useful reference for considering how various fire management strategies may target different values (Sub-HVRAs). The X-axis displays mean Burn Probability and the Y-axis displays mean Conditional Weighted NVC. Blue points represent Sub-HVRA's with positive mean Conditional Weighted NVC and orange with negative.

scatter plot of data showing mean conditional weighted NVC on the y axis, mean burn probability on the x axis, with sub-hvras plotted as points.

Wildfire risk management activities (fire prevention, preparedness, suppression, hazard reduction and susceptibility reduction) may be preferred anywhere Conditional Weighted NVC is negative with further priority given to values with highest Burn Probability. Where Conditional Weighted NVC is positive, a wider variety of wildland fire management practices (prescribed fire and management of unplanned ignitions) are potentially available (Scott and others 2014).

Response Functions

Response Functions (RFs) represent the susceptibility, or response, of a Highly Valued Resource or Asset (HVRA) to wildfire. Response functions are expert-defined and translate fire effects into value change (-100 to +100), based upon fire intensity.

Relative Importance

Relative Importance (RI) is used to account for the fact that some HVRAs have reason to be prioritized over others, whether due to policy, land management objectives, or other factors. Overall Importance, shown in a pie chart, is a calculated percentage for Primary and Sub-HVRAs determined by adjusting user RI inputs and weighting them based on relative extent (acreage) of Sub-HVRA.

Important! When an Area of Interest (AOI) is applied for a summary report, only the Relative Extent acreage in the table reflects the AOI. Relative Importance per Pixel and Overall Importance are derived at the landscape level.

Relative Importance pie chart displaying sub-hvras and primary hvra categories.