calculate_paddlesports: Calculate frequency of lake and flood conditions

In WDNR-Water-Use/CSLSscenarios: CSLS MODFLOW Scenario Analysis

Description

Given a data frame with columns for "lake" and "level" as well as additional information about the elevation at which lake becomes a lake and suitable for paddleboating and the elevation at which the lake floods back floating leaf plants, evaluate the frequency of lake conditions, good paddleboating conditions during warm months (April thorugh September), and flooded conditions at all lakes with lake information.

Usage

calculate_paddlesports(
  df,
  lake_info = data.frame(lake = c("Long", "Plainfield"), elev_m = c(334.29, 334.15))
)

Arguments

df	a data frame with a "lake" and a "level" column
lake_info	a data frame with the "min_elev_m" and "max_elev_m" at which each "lake" becomes a lake/good for paddleboating and floods back vegetation.

Value

a data frame with the number of months and percent of time with lake, good paddleboating, and flooded vegetation conditions at each lake included in "lake_info".

WDNR-Water-Use/CSLSscenarios documentation built on Nov. 10, 2021, 4:14 p.m.