外文摘要：PurposeSoil salinity is often measured with electrical conductivity (EC) of soil-water extracts (ECw), and thus, conversion of ECw to saturated paste EC (ECe) is required for practical uses of ECw. However, conversion factors (CF, the ratio of ECe to ECw) vary widely depending on soil properties such as soil texture and ionic composition. This study was conducted to develop a novel procedure to obtain soil-specific CF by performing random forest (RF) and multiple regression (MR) modeling using EC and soil properties.MethodsSoil samples (n = 320) were collected from paddy fields in 16 reclaimed coastal areas of South Korea in 2018-2022. The samples were analyzed for EC (EC1:5 and ECe) and other soil properties including soil particle size, organic matter content, and exchangeable sodium percentage (ESP). The most important soil properties affecting the CF ratios were explored using RF modeling, and a MR equation was developed to estimate ECe using EC1:5 and the soil properties as parameters.ResultsThe RF model indicated that ESP and clay content are the key soil factors affecting CF variability, contributing 56.6% and 20.0% of the variability, respectively. Therefore, a multiple regression model was developed to predict CF using ESP and clay content, CF = 7.179 - 0.084 x Clay + 1.096 x ln(ESP). The predicted ECe was linearly correlated with the measured ECe (r2 = 0.84) with a marginal error (3.1%).ConclusionOur study provides a novel method to estimate ECe from ECw by performing RF and MR modeling using soil-specific variables such as clay content and ESP.
外文关键词：Soil salinity;clay content;Electrical conductivity;Exchangeable sodium percentage;Reclaimed tideland
作者：Park, Hyun-Jin;Baek, Nuri;Seo, Bo-Seong;Jeong, Young-Jae;Yang, Hye In;Lee, Se-In;Yoon, Kwang-Sik;Kim, Han-Yong;Choi, Woo-Jung
作者单位：Chonnam Natl Univ;Rural Dev Adm;Max Planck Inst Biogeochem
期刊名称：JOURNAL OF SOILS AND SEDIMENTS
期刊影响因子：0.0
出版年份：2024
出版刊次：24(3)
原文传递申请：江苏省科技资源（工程技术文献）统筹服务平台