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Chakraborty et al. (2011), point water-retention PTFs for Indian soils.

Source

Chakraborty, D., Mazumdar, S. P., Garg, R. N., Banerjee, S., Santra, P., Singh, R., & Tomar, R. K. (2011). Pedotransfer functions for predicting points on the moisture retention curve of Indian soils. Indian Journal of Agricultural Sciences, 81(11), 1030.

Scope

Territory: India

Dataset: 187 soil samples from three or more horizons at locations across India; 107 samples were used for regression development and 80 independent samples for validation. Analyses were performed during 2006-2008.

Functions

calc_ptf_chakraborty2011_eq1

Estimate four gravimetric water contents from clay and silt.

Status: implemented

Prediction target: Gravimetric water content at -33, -100, -500, and -1500 kPa.

Models: \(h(\theta)\) — Four point estimates from regression equation set 1

Inputs

Name Type Unit Domain Description
clay number % — Clay content by mass.
silt number % — Silt content by mass.

Outputs

Name Unit Domain Description
water_content_33 g/g — Gravimetric water content at -33 kPa matric potential.
water_content_100 g/g — Gravimetric water content at -100 kPa matric potential.
water_content_500 g/g — Gravimetric water content at -500 kPa matric potential.
water_content_1500 g/g — Gravimetric water content at -1500 kPa matric potential.

Note

Table 3 reports R-squared values of 0.820, 0.709, 0.698, and 0.489 at -33, -100, -500, and -1500 kPa, respectively.

Note

Table 3 reports SEE values of 4.351, 5.051, 3.837, and 4.488 percentage points at the four respective potentials.

Warning

Use outside the source Indian-soil dataset requires independent validation.

calc_ptf_chakraborty2011_eq2

Estimate four gravimetric water contents from sand and bulk density.

Status: implemented

Prediction target: Gravimetric water content at -33, -100, -500, and -1500 kPa.

Models: \(h(\theta)\) — Four point estimates from regression equation set 2

Inputs

Name Type Unit Domain Description
sand number % — Sand content by mass.
bulk_density number Mg/m^3 1.17 <= value <= 1.98 Dry soil bulk density.

Outputs

Name Unit Domain Description
water_content_33 g/g — Gravimetric water content at -33 kPa matric potential.
water_content_100 g/g — Gravimetric water content at -100 kPa matric potential.
water_content_500 g/g — Gravimetric water content at -500 kPa matric potential.
water_content_1500 g/g — Gravimetric water content at -1500 kPa matric potential.

Note

Table 3 reports R-squared values of 0.812, 0.726, 0.721, and 0.519 at -33, -100, -500, and -1500 kPa, respectively.

Note

Table 3 reports SEE values of 4.454, 4.875, 3.691, and 4.352 percentage points at the four respective potentials.

Warning

Use outside the source Indian-soil dataset requires independent validation.

calc_ptf_chakraborty2011_eq3

Estimate four gravimetric water contents from clay, silt, and bulk density.

Status: implemented

Prediction target: Gravimetric water content at -33, -100, -500, and -1500 kPa.

Models: \(h(\theta)\) — Four point estimates from regression equation set 3

Inputs

Name Type Unit Domain Description
clay number % — Clay content by mass.
silt number % — Silt content by mass.
bulk_density number Mg/m^3 1.17 <= value <= 1.98 Dry soil bulk density.

Outputs

Name Unit Domain Description
water_content_33 g/g — Gravimetric water content at -33 kPa matric potential.
water_content_100 g/g — Gravimetric water content at -100 kPa matric potential.
water_content_500 g/g — Gravimetric water content at -500 kPa matric potential.
water_content_1500 g/g — Gravimetric water content at -1500 kPa matric potential.

Note

Table 3 reports R-squared values of 0.830, 0.711, 0.701, and 0.490 at -33, -100, -500, and -1500 kPa, respectively.

Note

Table 3 reports SEE values of 4.253, 5.059, 3.843, and 4.509 percentage points at the four respective potentials.

Warning

Use outside the source Indian-soil dataset requires independent validation.

calc_ptf_chakraborty2011_eq4

Estimate four gravimetric water contents from clay, silt, and sand.

Status: implemented

Prediction target: Gravimetric water content at -33, -100, -500, and -1500 kPa.

Models: \(h(\theta)\) — Four point estimates from regression equation set 4

Inputs

Name Type Unit Domain Description
clay number % — Clay content by mass.
silt number % — Silt content by mass.
sand number % — Sand content by mass.

Outputs

Name Unit Domain Description
water_content_33 g/g — Gravimetric water content at -33 kPa matric potential.
water_content_100 g/g — Gravimetric water content at -100 kPa matric potential.
water_content_500 g/g — Gravimetric water content at -500 kPa matric potential.
water_content_1500 g/g — Gravimetric water content at -1500 kPa matric potential.

Note

Table 3 reports R-squared values of 0.844, 0.737, 0.734, and 0.524 at -33, -100, -500, and -1500 kPa, respectively.

Note

Table 3 reports SEE values of 4.078, 4.820, 3.618, and 4.365 percentage points at the four respective potentials.

Warning

Use outside the source Indian-soil dataset requires independent validation.

calc_ptf_chakraborty2011_eq5

Estimate four gravimetric water contents from clay, silt, sand, and bulk density.

Status: implemented

Prediction target: Gravimetric water content at -33, -100, -500, and -1500 kPa.

Models: \(h(\theta)\) — Four point estimates from regression equation set 5

Inputs

Name Type Unit Domain Description
clay number % — Clay content by mass.
silt number % — Silt content by mass.
sand number % — Sand content by mass.
bulk_density number Mg/m^3 1.17 <= value <= 1.98 Dry soil bulk density.

Outputs

Name Unit Domain Description
water_content_33 g/g — Gravimetric water content at -33 kPa matric potential.
water_content_100 g/g — Gravimetric water content at -100 kPa matric potential.
water_content_500 g/g — Gravimetric water content at -500 kPa matric potential.
water_content_1500 g/g — Gravimetric water content at -1500 kPa matric potential.

Note

Table 3 reports R-squared values of 0.847, 0.737, 0.734, and 0.526 at -33, -100, -500, and -1500 kPa, respectively.

Note

Table 3 reports SEE values of 4.045, 4.855, 3.637, and 4.370 percentage points at the four respective potentials.

Warning

Use outside the source Indian-soil dataset requires independent validation.

calc_ptf_chakraborty2011_eq6

Estimate four gravimetric water contents from texture, organic carbon, and bulk density.

Status: implemented

Prediction target: Gravimetric water content at -33, -100, -500, and -1500 kPa.

Models: \(h(\theta)\) — Four point estimates from regression equation set 6

Inputs

Name Type Unit Domain Description
clay number % — Clay content by mass.
silt number % — Silt content by mass.
sand number % — Sand content by mass.
organic_carbon number % 0.02 <= value <= 1.18 Soil organic carbon content by mass.
bulk_density number Mg/m^3 1.17 <= value <= 1.98 Dry soil bulk density.

Outputs

Name Unit Domain Description
water_content_33 g/g — Gravimetric water content at -33 kPa matric potential.
water_content_100 g/g — Gravimetric water content at -100 kPa matric potential.
water_content_500 g/g — Gravimetric water content at -500 kPa matric potential.
water_content_1500 g/g — Gravimetric water content at -1500 kPa matric potential.

Note

Table 3 reports R-squared values of 0.849, 0.750, 0.736, and 0.529 at -33, -100, -500, and -1500 kPa, respectively.

Note

Table 3 reports SEE values of 4.060, 5.682, 3.645, and 4.369 percentage points at the four respective potentials.

Warning

Use outside the source Indian-soil dataset requires independent validation.