TESTING SOME PEDO-TRANSFER FUNCTIONS (PTFS) IN APULIA REGION

The knowledge of soil water retention vs. soil water matric potential is used to study irrigation and drainage schedules, soil water storage capacity (plant available water), solute movement, plant growth and water stress. The hydraulic soil properties measuring is expensive, laborious and takes too...

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Main Authors: Floriano Buccigrossi, Angelo Caliandro, Pietro Rubino, Mario Alberto Mastro
Format: Article
Language:English
Published: PAGEPress Publications 2009-03-01
Series:Journal of Agricultural Engineering
Subjects:
Online Access:http://www.agroengineering.org/index.php/jae/article/view/68
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author Floriano Buccigrossi
Angelo Caliandro
Pietro Rubino
Mario Alberto Mastro
author_facet Floriano Buccigrossi
Angelo Caliandro
Pietro Rubino
Mario Alberto Mastro
author_sort Floriano Buccigrossi
collection DOAJ
description The knowledge of soil water retention vs. soil water matric potential is used to study irrigation and drainage schedules, soil water storage capacity (plant available water), solute movement, plant growth and water stress. The hydraulic soil properties measuring is expensive, laborious and takes too long time, so, frequently, matemathic models, called pedo-transfer functions (PTFs) are utilized to estimate hydraulic soil properties through soil chimical and phisical characteristics. Six pedo-transfer functions have been evaluated (Gupta & Larson, 1979; Rawls et al., 1982; De Jong et al., 1983; Rawls & Brakensiek, 1985; Saxton et al., 1986; Vereecken et al., 1989) by comparing estimated with measured soil moisture values at soil water matric potential of –33 and –1500 kPa of 361 soil samples collected from 185 pedons of Apulia Region (South Italy), having various combinations of particle-size distribution, soil organic matter content and bulk density. Accuracy of the soil moisture predictions have been evaluated by statistic indexes such as Weighted stantard error (WSEE), Mean Deviation (MD), Root Mean Squared Deviation (RMSD) and the determination coefficient (R2) between estimated and measured water retention values. The Rawls PTF model demostrated to have the lowest values of WSEE, MD and RMSD indexes (0.044, -0.007 and 0.059 m3 H2O m-3 soil, respectively) at –33 Kpa soil water matric potential (Field Capacity), while for estimating soil moisture at the Wilting Point (-1500 kPa) Rawls & Brakensiek model is adequate (WSEE, MD and RMSD of 0.034, -0.016 and 0.046 m3 H2O m-3 soil). De Jong, Saxton and Rawls & Brakensiek models, at –33 kPa soil water matric potential and Gupta & Larson and De Jong models at –1500 kPa soil water matric potential, showed the highest statistic errors.
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spelling doaj.art-f91f98b0c2f248f08fcb4c0b408e8fe92022-12-21T23:02:08ZengPAGEPress PublicationsJournal of Agricultural Engineering1974-70712239-62682009-03-01401193110.4081/jae.2009.1.1959TESTING SOME PEDO-TRANSFER FUNCTIONS (PTFS) IN APULIA REGIONFloriano BuccigrossiAngelo CaliandroPietro RubinoMario Alberto MastroThe knowledge of soil water retention vs. soil water matric potential is used to study irrigation and drainage schedules, soil water storage capacity (plant available water), solute movement, plant growth and water stress. The hydraulic soil properties measuring is expensive, laborious and takes too long time, so, frequently, matemathic models, called pedo-transfer functions (PTFs) are utilized to estimate hydraulic soil properties through soil chimical and phisical characteristics. Six pedo-transfer functions have been evaluated (Gupta & Larson, 1979; Rawls et al., 1982; De Jong et al., 1983; Rawls & Brakensiek, 1985; Saxton et al., 1986; Vereecken et al., 1989) by comparing estimated with measured soil moisture values at soil water matric potential of –33 and –1500 kPa of 361 soil samples collected from 185 pedons of Apulia Region (South Italy), having various combinations of particle-size distribution, soil organic matter content and bulk density. Accuracy of the soil moisture predictions have been evaluated by statistic indexes such as Weighted stantard error (WSEE), Mean Deviation (MD), Root Mean Squared Deviation (RMSD) and the determination coefficient (R2) between estimated and measured water retention values. The Rawls PTF model demostrated to have the lowest values of WSEE, MD and RMSD indexes (0.044, -0.007 and 0.059 m3 H2O m-3 soil, respectively) at –33 Kpa soil water matric potential (Field Capacity), while for estimating soil moisture at the Wilting Point (-1500 kPa) Rawls & Brakensiek model is adequate (WSEE, MD and RMSD of 0.034, -0.016 and 0.046 m3 H2O m-3 soil). De Jong, Saxton and Rawls & Brakensiek models, at –33 kPa soil water matric potential and Gupta & Larson and De Jong models at –1500 kPa soil water matric potential, showed the highest statistic errors.http://www.agroengineering.org/index.php/jae/article/view/68Hydraulic soil properties, pedotransfer functions, soil water retention models
spellingShingle Floriano Buccigrossi
Angelo Caliandro
Pietro Rubino
Mario Alberto Mastro
TESTING SOME PEDO-TRANSFER FUNCTIONS (PTFS) IN APULIA REGION
Journal of Agricultural Engineering
Hydraulic soil properties, pedotransfer functions, soil water retention models
title TESTING SOME PEDO-TRANSFER FUNCTIONS (PTFS) IN APULIA REGION
title_full TESTING SOME PEDO-TRANSFER FUNCTIONS (PTFS) IN APULIA REGION
title_fullStr TESTING SOME PEDO-TRANSFER FUNCTIONS (PTFS) IN APULIA REGION
title_full_unstemmed TESTING SOME PEDO-TRANSFER FUNCTIONS (PTFS) IN APULIA REGION
title_short TESTING SOME PEDO-TRANSFER FUNCTIONS (PTFS) IN APULIA REGION
title_sort testing some pedo transfer functions ptfs in apulia region
topic Hydraulic soil properties, pedotransfer functions, soil water retention models
url http://www.agroengineering.org/index.php/jae/article/view/68
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