In szipper/streamDepletr: Estimate Streamflow Depletion Due to Groundwater Pumping

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streamDepletr

streamDepletr is an R package with functions for assessing the impacts of groundwater pumping on streams. There are two primary categories of functions:

• Analytical streamflow depletion models, which estimate the change in groundwater inputs to a stream resulting from pumping (hunt, glover, hantush, intermittent_pumping)
• Depletion apportionment equations, which distribute streamflow depletion estimating using the analytical models to different reaches within a stream network (apportion_inverse, apportion_web, apportion_polygon, apportion_wedge)
• Data preparation functions to prepare inputs for the analytical models and depletion apportionment equations (depletion_max_distance, prep_reach_dist, streambed_conductance)

Combined, these functions will allow the user to estimate the impacts of an existing or proposed well (or group of wells) on individual stream reaches within a stream network.

Installation

You can install streamDepletr from CRAN: install.packages("streamDepletr")

Alternately, you can use devtools to install the development version:

devtools::install_github("FoundrySpatial/streamDepletr", build_vignettes = T)

Example

Calculate and plot streamflow depletion as a fraction of the pumping rate (Qf) over the 100 days of pumping:

require(streamDepletr)

# calculate depletion fraction
Qf <- glover(
  t = seq(1, 100), # timesteps to evaluate
  d = 150, # well to stream distance
  S = 0.10, # specific yield
  Tr = 50 * 1e-5 * 86400
) # 50 m thick aquifer with hydraulic conductivity of 1e-5 m/s

# plot
plot(seq(1, 100), Qf, type = "l", xlab = "Time [days]", ylab = "Qf, Streamflow Depletion Fraction")

For more examples, please check out the package vignette:

browseVignettes("streamDepletr")

Package Development

streamDepletr was developed by Foundry Spatial Ltd. and the University of Victoria with support from the National Sciences and Engineering Research Council of Canada.

szipper/streamDepletr documentation built on Feb. 2, 2024, 4:10 a.m.