The impact of sensitivity and uncertainty of soil physical parameters on the terms of the water balance: Some case studies with default R packages. Part I: Theory, methods and case descriptions

Jan Wesseling*, Joop Kroes, Thalita Campos Oliveira, Francisco Damiano

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

These papers (part I and part II) emphasize the need for sensitivity and uncertainty analyses. A number of techniques are applied, e.g. latin hypercube sampling, impact response surfaces and Sobol-analyses. Five examples are presented, four of them concerning the numerical model SWAP. The data generation and analysis is performed with standard R packages. Although the computations can be made on any computer, the most time-consuming examples in this paper have been run on a High Performance Computer Cluster. With the relatively simple Impact Response Surface technique it is shown that variation of the saturated hydraulic conductivity has far less impact than changing the moisture content at saturation. Analyses according to the Sobol-Jansen method show that when the soil physical relationships are described according to Damiano, then the parameter b has a very large influence on the results. If the well-known Mualem - Van Genuchten equations are applied, most variation can be explained by the parameter n.

Original languageEnglish
Article number105054
JournalComputers and Electronics in Agriculture
DOIs
Publication statusE-pub ahead of print - 13 Nov 2019

Fingerprint

water balance
water budget
uncertainty
case studies
Soils
Hydraulic conductivity
hydraulic conductivity
Water
Numerical models
soil
moisture content
Moisture
saturated hydraulic conductivity
saturation
Sampling
sampling
methodology
water content
parameter
method

Keywords

  • HPC
  • IRS
  • LHS
  • Numerical model
  • R
  • Sensitivity
  • Sobol
  • SWAP
  • Uncertainty

Cite this

@article{295d76a5f7344801af86ac71100db91e,
title = "The impact of sensitivity and uncertainty of soil physical parameters on the terms of the water balance: Some case studies with default R packages. Part I: Theory, methods and case descriptions",
abstract = "These papers (part I and part II) emphasize the need for sensitivity and uncertainty analyses. A number of techniques are applied, e.g. latin hypercube sampling, impact response surfaces and Sobol-analyses. Five examples are presented, four of them concerning the numerical model SWAP. The data generation and analysis is performed with standard R packages. Although the computations can be made on any computer, the most time-consuming examples in this paper have been run on a High Performance Computer Cluster. With the relatively simple Impact Response Surface technique it is shown that variation of the saturated hydraulic conductivity has far less impact than changing the moisture content at saturation. Analyses according to the Sobol-Jansen method show that when the soil physical relationships are described according to Damiano, then the parameter b has a very large influence on the results. If the well-known Mualem - Van Genuchten equations are applied, most variation can be explained by the parameter n.",
keywords = "HPC, IRS, LHS, Numerical model, R, Sensitivity, Sobol, SWAP, Uncertainty",
author = "Jan Wesseling and Joop Kroes and {Campos Oliveira}, Thalita and Francisco Damiano",
year = "2019",
month = "11",
day = "13",
doi = "10.1016/j.compag.2019.105054",
language = "English",
journal = "Computers and Electronics in Agriculture",
issn = "0168-1699",
publisher = "Elsevier",

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T1 - The impact of sensitivity and uncertainty of soil physical parameters on the terms of the water balance: Some case studies with default R packages. Part I: Theory, methods and case descriptions

AU - Wesseling, Jan

AU - Kroes, Joop

AU - Campos Oliveira, Thalita

AU - Damiano, Francisco

PY - 2019/11/13

Y1 - 2019/11/13

N2 - These papers (part I and part II) emphasize the need for sensitivity and uncertainty analyses. A number of techniques are applied, e.g. latin hypercube sampling, impact response surfaces and Sobol-analyses. Five examples are presented, four of them concerning the numerical model SWAP. The data generation and analysis is performed with standard R packages. Although the computations can be made on any computer, the most time-consuming examples in this paper have been run on a High Performance Computer Cluster. With the relatively simple Impact Response Surface technique it is shown that variation of the saturated hydraulic conductivity has far less impact than changing the moisture content at saturation. Analyses according to the Sobol-Jansen method show that when the soil physical relationships are described according to Damiano, then the parameter b has a very large influence on the results. If the well-known Mualem - Van Genuchten equations are applied, most variation can be explained by the parameter n.

AB - These papers (part I and part II) emphasize the need for sensitivity and uncertainty analyses. A number of techniques are applied, e.g. latin hypercube sampling, impact response surfaces and Sobol-analyses. Five examples are presented, four of them concerning the numerical model SWAP. The data generation and analysis is performed with standard R packages. Although the computations can be made on any computer, the most time-consuming examples in this paper have been run on a High Performance Computer Cluster. With the relatively simple Impact Response Surface technique it is shown that variation of the saturated hydraulic conductivity has far less impact than changing the moisture content at saturation. Analyses according to the Sobol-Jansen method show that when the soil physical relationships are described according to Damiano, then the parameter b has a very large influence on the results. If the well-known Mualem - Van Genuchten equations are applied, most variation can be explained by the parameter n.

KW - HPC

KW - IRS

KW - LHS

KW - Numerical model

KW - R

KW - Sensitivity

KW - Sobol

KW - SWAP

KW - Uncertainty

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DO - 10.1016/j.compag.2019.105054

M3 - Article

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

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