Determination of Pedo-Transfer Function Using the Relation Between Soil Particle Distribution, Organic Matter and Water Movement in Soil Originated from Limestone
2009
Hur, S.O., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea | Jung, K.H., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea | Sonn, Y.K., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea | Ha, S.K., National Academy of Agricultural Science, RDA, Suwon, Republic of Korea | Kim, J.G., Korea University, Seoul, Republic of Korea
Soils originated from limestone, located at the southern part of Kangwon province and Jecheon, Danyang of Chungbuk province are mainly composed of fine texture, have different properties from soils originated from granite and granite gneiss, especially for water movement. This study was conducted for making PTF(Pedo-Transfer Function) for Kfs(field saturaton hydraulic conductivity) estimation, and for investigating the relation between soil particle distribution and the infiltration and percolation rate in soils originated from limestone. Soils used for the experiment were 6 soils of Gwarim, Mosan, Jangseong, Maji, Anmi and Pyongan series. Infiltration and percolation rate for the soil were measured by a disc tension infiltrometer and a Guelph permeameter, respectively. The particle size distribution and organic matter content of the soils were analyzed. Kfs was not related with sand, silt, clay, and organic mattrer (OM) content because of forest soils which contained high gravel, pebble, and cobble content, and O layer with high OM content. After Mosan soil series and O layer of Gwarim series were excluded for the data analysis, Kfs was explained as a linear function with sand and clay content and a exponential function with OM content. As a result, the PTF equation was obtained as Kfs=-4.20558+0.479706*(S) +0.023187*exp(1.829*OM) (R²=0.6558*).
Show more [+] Less [-]AGROVOC Keywords
Bibliographic information
This bibliographic record has been provided by Korea Agricultural Science Digital Library