Development of Pedotransfer Functions to Predict Soil Physical Properties in Southern Quebec (Canada)

نویسندگان

چکیده

Pedotransfer functions (PTFs) are empirical fits to soil property data and have been used as an alternative tool in situ measurements for estimating hydraulic properties the last few decades. PTFs of Saxton Rawls, 2006 (PTFs’S&R.2006) some most widely because their global aspect. However, yield more accurate results when trained locally. This study proposes a set agricultural developed southern Quebec, Canada three horizons (A, B, C). Four response variables (bulk density (ρb), saturated conductivity (Ksat), volumetric water content at field capacity (θ33), permanent wilting point (θ1500)) four predictors (clay, silt, organic carbon, coarse fragment percentages) were this modeling process. The new using stepwise forward regression (SFR) canonical correlation analysis (CCA) algorithms. CCA- SFR-PTFs cases accurate. Θ1500 θ33 estimates improved with SFR. ρb A horizon was moderately estimated by PTFs’S&R.2006, while performed equally well B C horizons, yet qualified weak. all Ksat unacceptable. Estimation could be considering other morphological (soil structure, drainage information, etc.).

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimation of Soil Physical Properties Using Pedotransfer Functions in the Bank of Yangtze River of China

1Assistant Professor, Department of Water Engineering, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran E-mail: [email protected], Af. Member of ASCE 2Research assistant, Nanjing hydraulic research institute, Geotechnical Engineering Department, Nanjing, P.R. China E-mail: [email protected] 3Assistant Professor, Department of Soil Science, Faculty of Agriculture, Khorasgan Is...

متن کامل

Multiscale Pedotransfer Functions for Soil Water Retention

Soil hydraulic properties are needed in globaland regionalscale circulation models for hydrologic and climate forecasting. They are also necessary in pointand nonpoint-source contaminant transport models. Prediction accuracy of these models is highly dependent on the quality of the model parameters. Collecting the required soil hydraulic parameters by direct measurement at any model grid scale ...

متن کامل

Soil Carbon Stocks in Two Hybrid Poplar-Hay Crop Systems in Southern Quebec, Canada

Tree-based intercropping (TBI) systems, consisting of a medium to fast-growing woody species planted in widely-spaced rows with crops cultivated between tree rows, are a potential sink for atmospheric carbon dioxide (CO2). TBI systems contribute to farm income in the long-term by improving soil quality, as indicated by soil carbon (C) storage, generating profits from crop plus tree production a...

متن کامل

Learning to Predict Physical Properties using Sums of Separable Functions

We present an algorithm for learning the function that maps a material structure to its value on some property, given the value of this function on several structures. We pose this problem as one of learning (regressing) a function of many variables from scattered data. Each structure is first converted to a weighted set of points by a process that removes irrelevant translations and rotations ...

متن کامل

Soil Hydraulics Properties Estimation by Using Pedotransfer Functions in a Northeastern Semiarid Zone Catchment, Brazil

Hydrological modeling of the unsaturated soil zone fluxes allows the transfer processes simulation through the hydrological active soil zone. The pedotransfer functions (FTP) are useful tools in the modeling process. They contain analytical functions derived through statistic optimization process using a large amount of soil information data. This paper aims to analyze the level of reliability ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Agronomy

سال: 2022

ISSN: ['2156-3276', '0065-4663']

DOI: https://doi.org/10.3390/agronomy12020526