Package 'SoilConservation'

Title: Soil and Water Conservation
Description: Includes four functions: RFactor_calc(), RFactor_est(), KFactor() and SoilLoss(). The rainfall erosivity factors can be calculated or estimated, and soil erodibility will be estimated by the equation extracted from the monograph. Soil loss will be estimated by the product of five factors (rainfall erosivity, soil erodibility, length and steepness slope, cover-management factor and support practice factor. In the future, additional functions can be included. This efforts to advance research in soil and water conservation, with fast and accurate results.
Authors: Dione Pereira Cardoso [aut, cre] , Paulo Cesar Ossani [aut] , Junior Cesar Avanzi [aut]
Maintainer: Dione Pereira Cardoso <[email protected]>
License: GPL-3
Version: 1.0.1
Built: 2025-02-12 06:02:46 UTC
Source: https://github.com/cran/SoilConservation

Help Index

Soil and Water Conservation.

Description

Includes four functions: RFactor_calc(), RFactor_est(), KFactor() and SoilLoss(). The rainfall erosivity factors can be calculated or estimated, and soil erodibility will be estimated by the equation extracted from the monograph. Soil loss will be estimated by the product of five factors (rainfall erosivity, soil erodibility, length and steepness slope, cover-management factor and support practice factor. In the future, additional functions can be included. This efforts to advance research in soil and water conservation, with fast and accurate results.

Details

Package: SoilConservation
Type: Package
Version: 1.0.1
Date: 2024-12-14
License: GPL (>= 3)

Author(s)

Dione Pereira Cardoso [email protected]

Paulo Cesar Ossani [email protected]

Junior Cesar Avanzi [email protected]

References

Arnoldus H. M. J. (1980). An approximation of the rainfall factor in the universal soil loss equation. In: De Boodt M, Gabriels D (eds) Assessment of erosion. JohnWiley & Sons, Chichister, pp 127–132. <https:...>.

Brown, L.C. and Foster, G.R. (1987). Storm erosivity using idealized intensity distributions. Trans. ASAE 30, 2, 379–386. <https:...>.

Cemaden (2024). Centro nacional de monitoramento e alertas de desastres naturais - <http://www.cemaden.gov.br/apresentacao/>.

Denardin, J. E. (1990). “Erodibilidade de solo estimada por meio de parâmetros físicos e químicos”. Piracicaba, ESALQ, 1990. 81p. (Tese de Doutorado). <https:...>

Godoi, R. F.; Rodrigues, D. B.; Borrelli, P.; Oliveira, P. T. S. (2021). “High-resolution soil erodibility map of Brazil”. Science of The Total Environment, v. 781, p. 146673. <doi:10.1016/j.scitotenv.2021.146673>.

INMET - Instituto Nacional de Meteorologia (2018). “BDMEP - Banco de Dados Meteorológicos para Ensino e Pesquisa - Série Histórica - Dados Mensais – Precipitação (mm)”. Brasília.

Oliveira, P. T. S. and Wendland, E.; Nearing, M. A. (2013). “Rainfall erosivity in Brazil: A review”. Catena, v. 100, p. 139-147, 2013. <doi:10.1016/j.catena.2012.08.006>.

RadamBrasil, P. (1981a). Folha SC. 22 Tocantins, Rio de Janeiro: Ministério das Minas e Energia. 524p. <https:...>

RadamBrasil, P. (1981b). FOLHA SD. 22 Goiás, Rio de Janeiro: Ministério das Minas e Energia. 640p. <https:...>

RadamBrasil, P. (1982). Folha SD. 23: Brasília, Rio de Janeiro: Ministério das Minas e Energia. 660p. <https:...>

RadamBrasil, P. (1983). Folha SE. 22 Goiânia, Rio de Janeiro: Ministério das Minas e Energia. 768p. <https:...>

Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., Yoder, D. C. (1997). Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE), Agriculture Handbook Number 703. <https:...>

USDA-Agricultural Research Service. (2013). Science Documentation Revised Universal Soil Loss Equation Version 2. <https://www.ars.usda.gov/ARSUserFiles/60600505/RUSLE/RUSLE2_Science_Doc.pdf>.

Wischmeier, W. and Smith, D. (1978). Predicting rainfall erosion losses: a guide to conservation planning. Agricultural Handbook No. 537. U.S. Department of Agriculture, Washington DC, USA. <https:...>

Erodibility dataset.

Description

Dataset of physical and chemical attributes used in estimating soil erodibility.

Usage

data(Data_Erodibility)

Format

Physical and chemical attributes used in estimating soil erodibility.

Author(s)

Dione Pereira Cardoso

Paulo Cesar Ossani

Junior Cesar Avanzi

References

Denardin, J. E. (1990). “Erodibilidade de solo estimada por meio de parâmetros físicos e químicos”. Piracicaba, ESALQ, 1990. 81p. (Tese de Doutorado). <https:...>

RadamBrasil, P. (1981a). Folha SC. 22 Tocantins, Rio de Janeiro: Ministério das Minas e Energia. 524p. <https:...>

RadamBrasil, P. (1981b). FOLHA SD. 22 Goiás, Rio de Janeiro: Ministério das Minas e Energia. 640p. <https:...>

RadamBrasil, P. (1982). Folha SD. 23: Brasília, Rio de Janeiro: Ministério das Minas e Energia. 660p. <https:...>

RadamBrasil, P. (1983). Folha SE. 22 Goiânia, Rio de Janeiro: Ministério das Minas e Energia. 768p. <https:...>

Examples

data(Data_Erodibility)
head(Data_Erodibility)

Rainfall dataset.

Description

Sub-hourly rainfall data for the municipality of Peixe, TO, for the period January to December 2023.

Usage

data(Data_Rainfall_minutes)

Format

Data set with 22,032 observations with 3 variables, referring to precipitation from January to December 2023, in the municipality of Peixe, TO, Brazil. The columns being: date, times and rainfall.

Author(s)

Dione Pereira Cardoso

Paulo Cesar Ossani

Junior Cesar Avanzi

References

Cemaden (2024). Centro nacional de monitoramento e alertas de desastres naturais - <http://www.cemaden.gov.br/apresentacao/>.

Examples

data(Data_Rainfall_minutes)
head(Data_Rainfall_minutes)

Rainfall dataset.

Description

Monthly rainfall data for the municipality of Peixe, TO, for the period from 2013 to 2023 (Source: BDMEP-INMET, 2024).

Usage

data(Data_Rainfall_month)

Format

Dataset monthly referring to rainfall in 2013 and 2023, in the municipality of Peixe, TO, Brazil.

Author(s)

Dione Pereira Cardoso

Paulo Cesar Ossani

Junior Cesar Avanzi

References

INMET - Instituto Nacional de Meteorologia (2018). “BDMEP - Banco de Dados Meteorológicos para Ensino e Pesquisa - Série Histórica - Dados Mensais – Precipitação (mm)”. Brasília.

Examples

data(Data_Rainfall_month)
head(Data_Rainfall_month)

Water erosion dataset.

Description

Dataset of erosivity, erodibility, topography, LULC, and support conservation practices.

Usage

data(Data_SoilLoss)

Format

Dataset of erosivity, erodibility, topography, LULC, and support conservation practices of several years.

Author(s)

Dione Pereira Cardoso

Paulo Cesar Ossani

Junior Cesar Avanzi

Examples

data(Data_SoilLoss)
head(Data_SoilLoss)

Estimates soil erodibility.

Description

The function estimates the soil erodibility factor.

Usage

KFactor(df_kfactor)

Arguments

df_kfactor

Data to be analyzed.

Value

kfactor

Tabulated results of the k factor.

Author(s)

Dione Pereira Cardoso

Paulo Cesar Ossani

Junior Cesar Avanzi

References

Godoi, R. F.; Rodrigues, D. B.; Borrelli, P.; Oliveira, P. T. S. (2021). “High-resolution soil erodibility map of Brazil”. Science of The Total Environment, v. 781, p. 146673. <doi:10.1016/j.scitotenv.2021.146673>.

Wischmeier, W. and Smith, D. (1978). Predicting rainfall erosion losses: a guide to conservation planning. Agricultural Handbook No. 537. U.S. Department of Agriculture, Washington DC, USA. <https:...>

Examples

data(Data_Erodibility)
kfactor <- KFactor(Data_Erodibility)
round(kfactor,6) # result K factor

Determination the rainfall erosivity .

Description

The function calculates the rainfall erosivity factor.

Usage

RFactor_calc(data, erosive.precip = 10, equation = "WS")

Arguments

data

Data to be analyzed.
erosive.precip

Precipitation considered erosive (default = 10).
equation

"WS" - Wischmeier and Smith (defaul),
"BF" - Brown and Foster,
"RUSLE2" - USDA-Agriculture Research Service.

Value

result

Tabulated results.
record

Record of rainfall relative to 5, 10, 15, 30 or 60 minutes.

Author(s)

Dione Pereira Cardoso

Paulo Cesar Ossani

Junior Cesar Avanzi

References

Brown, L.C. and Foster, G.R. (1987). Storm erosivity using idealized intensity distributions. Trans. ASAE 30, 2, 379–386. <https:...>.

USDA-Agricultural Research Service. (2013). Science Documentation Revised Universal Soil Loss Equation Version 2. <https://www.ars.usda.gov/ARSUserFiles/60600505/RUSLE/RUSLE2_Science_Doc.pdf>.

Wischmeier, W. and Smith, D. (1978). Predicting rainfall erosion losses: a guide to conservation planning. Agricultural Handbook No. 537. U.S. Department of Agriculture, Washington DC, USA. <https:...>.

Examples

data(Data_Rainfall_minutes)
 res <- RFactor_calc(Data_Rainfall_minutes, erosive.precip = 10, equation = "WS")
 res$result

Estimation the rainfall erosivity.

Description

The function estimates the rainfall erosivity factor.

Usage

RFactor_est(data, latitude, longitude)

Arguments

data

Data to be analyzed.
latitude

Latitude
longitude

Longitude

Value

RFactor

Estimated rainfall erosivity.
equation

Equation used for estimations.

Author(s)

Dione Pereira Cardoso

Paulo Cesar Ossani

Junior Cesar Avanzi

References

Arnoldus H. M. J. (1980). An approximation of the rainfall factor in the universal soil loss equation. In: De Boodt M, Gabriels D (eds) Assessment of erosion. JohnWiley & Sons, Chichister, pp 127–132. <https:...>.

Oliveira, P. T. S. and Wendland, E.; Nearing, M. A. (2013). “Rainfall erosivity in Brazil: A review”. Catena, v. 100, p. 139-147, 2013. <doi:10.1016/j.catena.2012.08.006>.

Examples

data(Data_Rainfall_month)
rfactor <- RFactor_est(Data_Rainfall_month[,2:13], 
                       latitude = -12.01527777, 
                       longitude = -48.544444440)
rfactor$RFactor
rfactor$equation

Estimation soil losses by water erosion.

Description

The function estimates soil losses according to USLE and its revised versions (RUSLE).

Usage

SoilLoss(df_SoilLoss)

Arguments

df_SoilLoss

Data to be analyzed.

Value

result.A

Tabulated results of the A (Soil loss).

Author(s)

Dione Pereira Cardoso

Paulo Cesar Ossani

Junior Cesar Avanzi

References

Wischmeier, W. and Smith, D. (1978). Predicting rainfall erosion losses: a guide to conservation planning. Agricultural Handbook No. 537. U.S. Department of Agriculture, Washington DC, USA. <https:...>.

Examples

data(Data_SoilLoss)
SoilLoss <- SoilLoss(Data_SoilLoss[,2:6])
round(SoilLoss,2) # result Soil loss