Prediction of cation exchange capacity of agricultural soil in Tainan by pedotransfer function

碩士 === 國立屏東科技大學 === 環境工程與科學系所 === 95 === In the survey reports of rural soils in Taiwan, 68 soil series have been established in Tainan county. According to parent materials in Tainan County, the rural soils were divied into six types including Sandstone-shale lime new-alluvial soils, sandstone-shal...

Full description

Bibliographic Details
Main Authors: Feng-Chun Tsai, 蔡峰淳
Other Authors: Zeng-Yei Hseu
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/29280551533261741505
Description
Summary:碩士 === 國立屏東科技大學 === 環境工程與科學系所 === 95 === In the survey reports of rural soils in Taiwan, 68 soil series have been established in Tainan county. According to parent materials in Tainan County, the rural soils were divied into six types including Sandstone-shale lime new-alluvial soils, sandstone-shale lime-nodule new-alluvial soils, non-lime sandstone-shale new-alluvial soils, lime-nodule Taiwan clays, non-lime Taiwan clays and sandstone-shale old-alluvial soils. Based on Soil Taxonomy, they include Entisoils, Inceptisoils and Alfisoils. However, the dominant Soil Orders are Entisols and Inceptisols, and Alfisols were only found in local Taiwan clays. Pedotransfer function (PTF) has been used to predict soil properties, which were determined costly. Therefore, this study applied PTF to predict cation exchange (CEC) for the rural soils in Tainan county by the variables of pH, organic matter (OM) and clay, and further verify the predicted CEC values with measured CEC. The study results showed that the variables of pH, OM and clay corrected well with CEC (r2> 0.77 (n=411). Moreover, r2 were more than 0.80 under variables of OM and clay. Therefore, the differences between predicted and measured CEC are lower than 10% evaluated by OM and clay. Based on the above analysis, clay can be effectively predicted CEC for the rural soils in Tainan county, and their relationship is CEC=0.47×clay(%).