VFS-package {VFS}R Documentation

Vegetated Filter Strip and Erosion Model

Description

Empirical models for runoff, erosion, and phosphorus loss across a vegetated filter strip, given slope, soils, climate, and vegetation (Gall et al., 2018) <doi:10.1007/s00477-017-1505-x>. It also includes functions for deriving climate parameters from measured daily weather data, and for simulating rainfall. Models implemented include MUSLE (Williams, 1975) and APLE (Vadas et al., 2009 <doi:10.2134/jeq2008.0337>).

Details

The DESCRIPTION file:

Package: VFS
Title: Vegetated Filter Strip and Erosion Model
Version: 1.0.2
Date: 2018-10-01
Authors@R: c(person("Sarah", "Goslee", role = c("aut", "cre"), email = "Sarah.Goslee@ars.usda.gov"), person("Heather", "Gall", role = "aut"), person("Tamie", "Veith", role = "aut"))
Depends: R (>= 3.4.0)
Imports: stats, graphics, e1071, nleqslv (>= 3.3.0)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Description: Empirical models for runoff, erosion, and phosphorus loss across a vegetated filter strip, given slope, soils, climate, and vegetation (Gall et al., 2018) <doi:10.1007/s00477-017-1505-x>. It also includes functions for deriving climate parameters from measured daily weather data, and for simulating rainfall. Models implemented include MUSLE (Williams, 1975) and APLE (Vadas et al., 2009 <doi:10.2134/jeq2008.0337>).
License: GPL-3
BugReports: https://github.com/sgoslee/VFS/issues
LazyData: true
Author: Sarah Goslee [aut, cre], Heather Gall [aut], Tamie Veith [aut]
Maintainer: Sarah Goslee <Sarah.Goslee@ars.usda.gov>

Index of help topics:

APLE                    Agricultural Phosphorus Loss Estimator
MUSLE                   Modified Universal Soil Loss Equation
MUSLE.K                 Estimate soil erodibility factor K.
MUSLE.LS                Estimate landscape factor LS
USC00368449.dly         GHCN Data for State College, PA, 1980-2009
VFS                     Vegetated filter strip and erosion model
VFS-package             Vegetated Filter Strip and Erosion Model
VFSAPLE                 Link the VFS and APLE models.
bufferdat               Parameters for vegetated buffers
peak                    Rational method to calculate peak discharge
print.APLE              Printing the result of APLE
print.VFS               Printing the result of VFS
rainfall                Generate simulated daily rainfall
read.dly                Read GHCN DLY daily weather file into a data
                        frame
soildat                 Soil texture class properties
summary.APLE            Summarize the result of APLE
summary.VFS             Summarize the result of VFS
temperature             Generate simulated mean temperature
weather                 Ten years of daily weather data
wth.param               Calculate weather parameters from daily data
                        for use in climate simulations

This package implements runoff, erosion, filter strip, and phosphorus loss models in R.

Author(s)

NA

Maintainer: NA

References

Gall, H. E., Schultz, D., Veith, T. L, Goslee, S. C., Mejia, A., Harman, C. J., Raj, C. and Patterson, P. H. (2018) The effects of disproportional load contributions on quantifying vegetated filter strip sediment trapping efficiencies. Stoch Environ Res Risk Assess 32(8), 2369–2380. doi: 10.1007/s00477-017-1505-x

Examples


# state college GHCN data
#
# weather <- read.dly(system.file("extdata", "USC00368449.dly", package = "VFS"))
data("weather") # same object

weather.param <- wth.param(weather, method="markov")

rain.compare <- rainfall(365*3, weather.param)
temp.compare <- temperature(365*3, weather.param)

data(soildat)
data(bufferdat)

# bluegrass buffer, clay loam soil
vfs.CL <- VFS(nyears = 3, thissoil = subset(soildat, Soil == "CL"), 
rain=rain.compare, temperature=temp.compare, 
thisbuffer = subset(bufferdat, Species == "bluegrass"), Duration = 2, 
FieldArea = 4000, VFSwidth = 10.7, VFSslope = 0.02, 
z = 1000, b =1.5)

print(vfs.CL)
summary(vfs.CL)

aple.CL <- VFSAPLE(vfs.CL, soilP = 120, OM = 2)

print(aple.CL)
summary(aple.CL)


[Package VFS version 1.0.2 Index]