Development of pedotransfer functions using a group method of data handling for the soil of the Pianura Padano–Veneta region of North Italy: water retention properties

Ungaro, Fabrizio; Calzolari, Costanza; Busoni, E.

doi:10.1016/j.geoderma.2004.05.007

Cited by 71 publications

(63 citation statements)

References 34 publications

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“…(1) is subjected to specified initial and boundary conditions, and requires known relationships between the soil hydraulic variables moisture θ, pressure head h and hydraulic conductivity K. The following relations between these variables were used (van Genuchten, 1980;Mualem, 1976):…”

Section: Swap Modelmentioning

confidence: 99%

“…Three additional points of the water retention function were measured with the pressure chamber method (corresponding to matric pressure head values of −3000, −6000 and −12 000 cm). The water retention function of van Genuchten (1980) was fitted to the measured θ − h values using the RETC code (van Genuchten et al, 1991). In the optimisation, θ s values were fixed to those determined in the laboratory.…”

Section: Laboratory Measurementsmentioning

confidence: 99%

“…The water retention function of van Genuchten (1980) was fitted to the field measured θ − h values using the RETC code (van Genuchten et al, 1991). In the optimisation, θ s values were fixed to those determined during the calibration of the CS probes, conducted in laboratory on samples collected in the summer 2006, after tillage activities.…”

Section: Field Measurementsmentioning

confidence: 99%

“…Tietje and Hennings, 1996;Romano, 1999). In most cases the methods are evaluated by comparing the values of selected soil hydraulic parameters obtained by the measurement techniques that are supposed to be more accurate with the indirectly estimated parameter values (Tietje and Tapkenhinrichs, 1993;Bastet et al, 1999;Nemes et al, 2003;Ungaro et al, 2005). These comparisons show that good performances can be obtained with predictive methods, but generally the results are site-specific.…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity

Baroni

Facchi

Gandolfi

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. Data of soil hydraulic properties forms often a limiting factor in unsaturated zone modelling, especially at the larger scales. Investigations for the hydraulic characterization of soils are time-consuming and costly, and the accuracy of the results obtained by the different methodologies is still debated. However, we may wonder how the uncertainty in soil hydraulic parameters relates to the uncertainty of the selected modelling approach. We performed an intensive monitoring study during the cropping season of a 10 ha maize field in Northern Italy. The data were used to: i) compare different methods for determining soil hydraulic parameters and ii) evaluate the effect of the uncertainty in these parameters on different variables (i.e. evapotranspiration, average water content in the root zone, flux at the bottom boundary of the root zone) simulated by two hydrological models of different complexity: SWAP, a widely used model of soil moisture dynamics in unsaturated soils based on Richards equation, and ALHyMUS, a conceptual model of the same dynamics based on a reservoir cascade scheme. We employed five direct and indirect methods to determine soil hydraulic parameters for each horizon of the experimental profile. Two methods were based on a parameter optimization of: a) laboratory measured retention and hydraulic conductivity data and b) field measured retention and hydraulic conductivity data. The remaining three methods were based on the application of widely used Pedo-Transfer Functions: c) Rawls and Brakensiek, d) HYPRES, and e) ROSETTA. Simulations were performed using meteorological, irrigation and crop data measured at the experimental site during the period June -October 2006. Results showed a wide range of soil hydraulic parameter values generated with the different Correspondence to: G. Baroni (gabriele.baroni@email.it) methods, especially for the saturated hydraulic conductivity K sat and the shape parameter α of the van Genuchten curve. This is reflected in a variability of the modeling results which is, as expected, different for each model and each variable analysed. The variability of the simulated water content in the root zone and of the bottom flux for different soil hydraulic parameter sets is found to be often larger than the difference between modeling results of the two models using the same soil hydraulic parameter set. Also we found that a good agreement in simulated soil moisture patterns may occur even if evapotranspiration and percolation fluxes are significantly different. Therefore multiple output variables should be considered to test the performances of methods and models.

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Section: Swap Modelmentioning

confidence: 99%

Section: Laboratory Measurementsmentioning

confidence: 99%

Section: Field Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity

Baroni

Facchi

Gandolfi

et al. 2010

Hydrol. Earth Syst. Sci.

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“…The hydrological parameters of the soil are among the least available in routine surveys and among the most expensive to measure. Throughout the years were consequently developed several pedotransfer functions for their derivation using soil data routinely measured [40,41]. The two following steps were used to estimate these data:…”

Section: Estimation Of the Irrigation Scheduling Parametersmentioning

confidence: 99%

Effects of Climate Change on the Irrigation Scheduling Parameters in Calabria (South Italy) during 1925-2013

Capra¹,

Mannino²

2015

Irrigat Drainage Sys Eng

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Pedotransfer functions for estimating soil water retention properties of northern China agricultural soils: Development and needs*

Sun

et al. 2021

Irrigation and Drainage

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Many agro‐environmental studies focusing on the efficient management of soils and water resources make use of soil water simulation models. Reliable soil hydraulic properties are critical for ensuring the accuracy of model simulations. However, soil hydraulic parameters in northern China are generally derived using external pedotransfer functions (PTFs) that do not take into account the specificities of local edaphoclimatic conditions due to the lack of a better alternative. Therefore, the main objective of this paper was to develop PTFs for estimating the soil water retention curve (SWRC) in northern China agricultural soils (named PTF‐ANC). A total of 440 soil horizons were collected from the existing literature. A flexible soil‐textural conversion program was first developed to harmonize soil particle‐size data into the United States Department of Agriculture (USDA) classification system. The SWRC parameters of the van Genuchten model were also generated by curve fitting. Then, the PTF‐ANC were developed using artificial neural networks, with soil texture and bulk density being used as input data and with a basic three‐layer back‐propagation neural network. The PTF‐ANC showed an acceptable accuracy when predicting the SWRC, indicating a strong application potential for northern China soils. Comparison of estimates with two widely used external PTFs also showed that these were not suitable for characterizing the SWRC of northern China agricultural soils. This is due to the fact that the main soil textures (silt and silty loam textures) found in northern China soils were misrepresented in those external soil databases. Overall, this paper presented the absolute necessity of developing specific PTFs for northern China agricultural soils.

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Development of pedotransfer functions using a group method of data handling for the soil of the Pianura Padano–Veneta region of North Italy: water retention properties

Cited by 71 publications

References 34 publications

Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity

Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity

Effects of Climate Change on the Irrigation Scheduling Parameters in Calabria (South Italy) during 1925-2013

Pedotransfer functions for estimating soil water retention properties of northern China agricultural soils: Development and needs*

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