نتایج جستجو برای: pedotransfer functions

تعداد نتایج: 490748  

2006
A. K. Guber R. E. Cady

Using pedotransfer functions (PTF) to estimate soil hydraulic properties may be necessary in soil water flow simulations for large-scale projects or in pilot studies. The accuracy of a PTF outside of its development dataset is generally unknown. The existence of multiple models that are developed and tested in one region, but may perform relatively poorly in other regions, is also common in met...

Journal: :Revista Brasileira de Geografia Física 2021

Pedotransfer Functions (FPT) are mathematical models that estimate difficult-to-measure soil properties through more accessible variables, generating optimization of time and financial resources. In this study, six Functions, based on the equation Van Genuchten, analyzed for prediction volumetric moisture Brazilian soils, with data from global database Soil Data Task. Applied pressures 0, 0.01,...

2013
Krishna Gopal Mandal Dilip Kumar Kundu Ravender Singh Ashwani Kumar Rajalaxmi Rout Jyotiprakash Padhi Pradipta Majhi Dillip Kumar Sahoo

Effects of cropping practices on soil properties viz. particle size distribution, pH, bulk density (BD), field capacity (FC, -33 kPa), permanent wilting point (PWP, -1500 kPa), available water capacity (AWC) and soil organic carbon (SOC) were assessed. The pedotransfer functions (PTFs) were developed for saturated hydraulic conductivity (Ks), water retention at FC and PWP of soils for different...

Journal: Desert 2017
F. Ramazani H. Shekofteh,

Soil cation exchange capacity (CEC) is a parameter that represents soil fertility. Being difficult to measure, pedotransfer functions (PTFs) can be routinely applied for prediction of CEC by soil physicochemical properties that can be easily measured. This study developed the support vector regression (SVR) combined with genetic algorithm (GA) together with the adaptive network-based fuzzy infe...

Journal: :Environmental Modelling and Software 2008
Attila Nemes R. T. Roberts Walter J. Rawls Yakov A. Pachepsky M. Th. van Genuchten

A computer tool has been developed that uses a k-Nearest Neighbor (k-NN) lazy learning algorithm to estimate soil water retention at 33 and 1500 kPa matric potentials and its uncertainty. The user can customize the provided source data collection to accommodate specific local needs. Ad hoc calculations make this technique a competitive alternative to publish pedotransfer equations, as re-develo...

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