rrv {reservoir} | R Documentation |
Reliability, resilience, and vulnerability analysis for water supply reservoirs
Description
Computes time-based, annual, and volumetric reliability, as well as resilience and dimensionless vulnerability for a single reservoir.
Usage
rrv(Q, target, capacity, double_cycle = FALSE, surface_area, max_depth, evap,
plot = TRUE, S_initial = 1, policy)
Arguments
Q |
vector or time series object. Net inflow totals to the reservoir. Recommended units: Mm^3 (Million cubic meters). |
target |
numerical. The target release constant. Recommended units: Mm^3 (Million cubic meters). |
capacity |
numerical. The reservoir capacity. Should be same volumetric unit as Q and R. |
double_cycle |
logical. If TRUE the input series will be replicated and placed end-to-end to double the simulation. (Recommended if the critical period occurs at the end of the recorded inflow time series) |
surface_area |
numerical. The reservoir water surface area at maximum capacity. Recommended units: km^2 (square kilometers). |
max_depth |
numerical. The maximum water depth of the reservoir at maximum capacity. If omitted, the depth-storage-area relationship will be estimated from surface area and capacity only. Recommended units: meters. |
evap |
vector or time series object of length Q, or a numerical constant. Evaporation from losses from reservoir surface. Varies with level if depth and surface_area parameters are specified. Recommended units: meters, or kg/m2 * 10 ^ -3. |
plot |
logical. If TRUE (the default) the storage behavior diagram and release time series are plotted. |
S_initial |
numeric. The initial storage as a ratio of capacity (0 <= S_initial <= 1). The default value is 1. |
policy |
list. The output of the SDP function. If omitted, Standard Operating Policy is assumed. |
Value
Returns reliability, resilience and vulnerability metrics based on supply deficits.
Examples
# Compare reliability, resilience and vulnerability for two operating policies (SOP and SDP).
rrv(resX$Q_Mm3, capacity = 20*resX$cap_Mm3, target = 0.95 * mean(resX$Q_Mm3))
pol_Markov <- sdp_supply(resX$Q_Mm3, capacity = 20 * resX$cap_Mm3,
target = 0.95 * mean(resX$Q_Mm3), Markov = TRUE)
rrv(resX$Q_Mm3, capacity = 20*resX$cap_Mm3, target = 0.95 * mean(resX$Q_Mm3), policy = pol_Markov)