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Fig 1.

Anticipated key cost categories impacted by WildFireSat, once operational.

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Fig 1 Expand

Fig 2.

Cost component values over the 2013–2018 period.

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Fig 2 Expand

Table 1.

Description of the datasets used to form each cost category, an assessment of the confidence associated with the dataset/transformations, and dataset sources.

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Table 1 Expand

Fig 3.

Simulated distributions of impacts assumptions (percentage change) for each cost component a) Suppression costs, variable, b) Suppression costs, fixed, c) Timber losses, d) Property, asset and infrastructure losses, e) Evacuation costs, f) Health costs.

Note that the dashed line within each panel represents a 0% change in cost component value (i.e., the case without WildFireSat).

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Fig 3 Expand

Table 2.

Assumed distribution parameters for all cost categories.

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Table 2 Expand

Table 3.

Description of the parametrization of the distribution of WildFireSat impacts.

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Table 4.

Cost component estimates, in millions ($2019, CAD), 90% confidence intervals and median present values (in brackets).

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Table 4 Expand

Table 5.

Calculation results across all distributions, 90% confidence intervals with median present values in brackets, in millions ($2019, CAD).

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Table 5 Expand

Fig 4.

Results distributions, illustrating the Net Present Value (NPV) for each set of impact assumption distributions.

A negative value indicates costs exceed benefits, and a positive value indicates benefits exceed costs.

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Fig 4 Expand

Table 6.

Calculation results across each sensitivity analysis simulation, 90% confidence intervals with median NPVs in brackets, expressed in millions.

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Table 6 Expand

Fig 5.

Correlation scenario results, by impact assumption distribution (a) Pessimistic, (b) Conservative, (c) Positively biased, (d) Optimistic.

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Fig 5 Expand

Table 7.

Correlations between datasets used within the sensitivity analysisa.

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