Optimization of saturated hydraulic conductivity estimation using kriging in drainage networks

• DOI: 10.1007/s13201-023-01897-3
• Publication Date: 2023-03-06T16:02:37Z
• Authors: Yaser Hoseini
• Keywords: Variogram; Geostatistics

Abstract Statistical analysis of saturated hydraulic conductivity is the fundamental engineering plans for water resource projects . In other words, project solutions and designs depend directly on accuracy these statistical analyses methods that develop them to studied area. One recent was used estimate variables such as Kriging method. this study, GIS software purpose kriging method soil. Spherical model with nugget effect 0.0039 sill 0.0262 best variogram determining soil in method, which expressed high strength regional variable structure The results showed simple a regression coefficient 0.82 has highest modeling function. Also, geostatistical index higher than traditional Thiessen