TY - JOUR
T1 - Soil salinity measurement via portable X-ray fluorescence spectrometry
AU - Swanhart, Samantha
AU - Weindorf, David C.
AU - Chakraborty, Somsubhra
AU - Bakr, Noura
AU - Zhu, Yuanda
AU - Nelson, Courtney
AU - Shook, Kayla
AU - Acree, Autumn
N1 - Publisher Copyright:
Copyright © 2014 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2014/9/1
Y1 - 2014/9/1
N2 - Saline soils are defined as those containing appreciable salts more soluble than gypsum (e.g., various combinations of Na+, Mg2+, Ca2+, K+, Cl-, SO42-, HCO3-, and CO32-). Saline soils can occur across diverse climates and geological settings. As such, salinity is not germane to specific soil textures or parentmaterials. Traditionalmethods of measuring soil salinity (e.g., electrical conductance), although accurate, provide limited data and require laboratory analysis. Given the success of previous studies using portable X-ray fluorescence (PXRF) as a tool for measuring soil characteristics, this study evaluated its applicability for soil salinity determination. Portable X-ray fluorescence offers accurate quantifiable data that can be produced rapidly, in situ, and with minimal sample preparation. For this study, 122 surface soil samples (0-15 cm) were collected from salt-impacted soils of coastal Louisiana. Soil samples were subjected to standard soil characterization, including particle size analysis, losson- ignition organic matter, electrical conductivity (EC), and elemental quantification via PXRF. Simple and multiple linear regression models were developed to correlate elemental concentrations and auxiliary input parameters (simple: Cl; multiple: Cl, S, K, Ca, sand, clay, and organic matter) to EC results. In doing so, logarithmic transformation was used to normalize the variables to obtain a normal distribution for the error term (residual, ei). Although both models resulted in similar acceptable r2 between soil EC and elemental data produced by PXRF (0.83 and 0.90, respectively), multiple linear regression is recommended. In summary, PXRF has the ability to predict soil EC with reasonable accuracy from elemental data.
AB - Saline soils are defined as those containing appreciable salts more soluble than gypsum (e.g., various combinations of Na+, Mg2+, Ca2+, K+, Cl-, SO42-, HCO3-, and CO32-). Saline soils can occur across diverse climates and geological settings. As such, salinity is not germane to specific soil textures or parentmaterials. Traditionalmethods of measuring soil salinity (e.g., electrical conductance), although accurate, provide limited data and require laboratory analysis. Given the success of previous studies using portable X-ray fluorescence (PXRF) as a tool for measuring soil characteristics, this study evaluated its applicability for soil salinity determination. Portable X-ray fluorescence offers accurate quantifiable data that can be produced rapidly, in situ, and with minimal sample preparation. For this study, 122 surface soil samples (0-15 cm) were collected from salt-impacted soils of coastal Louisiana. Soil samples were subjected to standard soil characterization, including particle size analysis, losson- ignition organic matter, electrical conductivity (EC), and elemental quantification via PXRF. Simple and multiple linear regression models were developed to correlate elemental concentrations and auxiliary input parameters (simple: Cl; multiple: Cl, S, K, Ca, sand, clay, and organic matter) to EC results. In doing so, logarithmic transformation was used to normalize the variables to obtain a normal distribution for the error term (residual, ei). Although both models resulted in similar acceptable r2 between soil EC and elemental data produced by PXRF (0.83 and 0.90, respectively), multiple linear regression is recommended. In summary, PXRF has the ability to predict soil EC with reasonable accuracy from elemental data.
KW - Electrical conductivity
KW - Portable X-ray fluorescence
KW - Salinity
UR - http://www.scopus.com/inward/record.url?scp=84937840520&partnerID=8YFLogxK
U2 - 10.1097/SS.0000000000000088
DO - 10.1097/SS.0000000000000088
M3 - Article
AN - SCOPUS:84937840520
SN - 0038-075X
VL - 179
SP - 417
EP - 423
JO - Soil Science
JF - Soil Science
IS - 9
ER -