36
3 An ERA Acute Model Overview
Fig. 3.1 Frequencies of each scenario from Table 3.1, where Surf = Surface spills, first digit
represents the rate and second digit represents the duration. The sum of the frequency contributions
is the DSHA frequency, 1.2 × 10 −4
Fig. 3.2 Illustration of the impact (population/community loss) and restoration modelling in ERA
Acute following a spill. Impact-, lag- and restoration times are defined along the time axis. The curve
illustrates the initial steep decline in impacted resource, the increase in impact slows down until full
impact is reached. Impact magnitude is at its maximum until restoration can start, which is illustrated
by a re-growth curve. The area formed by the curve and timeline is the total combined expression
of the impact extent and duration (surface) and water column compartments and simplified (dashed
lines) for shoreline and seafloor
exposure, probability of lethal effect given exposure and abundance of vulnerable
resources (Eq. 3.1) (Spikkerud et al. 2006 (Background Report 1)).
Imp sim,cell,comp,V EC,month = pexp sim,cell,comp,V EC × plet sim,cell,comp,V EC × N V EC,cell,comp,month
(3.1)
3 An ERA Acute Model Overview
Fig. 3.1 Frequencies of each scenario from Table 3.1, where Surf = Surface spills, first digit
represents the rate and second digit represents the duration. The sum of the frequency contributions
is the DSHA frequency, 1.2 × 10 −4
Fig. 3.2 Illustration of the impact (population/community loss) and restoration modelling in ERA
Acute following a spill. Impact-, lag- and restoration times are defined along the time axis. The curve
illustrates the initial steep decline in impacted resource, the increase in impact slows down until full
impact is reached. Impact magnitude is at its maximum until restoration can start, which is illustrated
by a re-growth curve. The area formed by the curve and timeline is the total combined expression
of the impact extent and duration (surface) and water column compartments and simplified (dashed
lines) for shoreline and seafloor
exposure, probability of lethal effect given exposure and abundance of vulnerable
resources (Eq. 3.1) (Spikkerud et al. 2006 (Background Report 1)).
Imp sim,cell,comp,V EC,month = pexp sim,cell,comp,V EC × plet sim,cell,comp,V EC × N V EC,cell,comp,month
(3.1)