RT - Journal Article
T1 - Preference assessment of spatial interpolation methods on soil resistance zoning(Case study: parvaz town)
JF - geospace
YR - 2018
JO - geospace
VO - 18
IS - 61
UR - http://geographical-space.iau-ahar.ac.ir/article-1-1633-en.html
SP - 125
EP - 140
K1 - allowable resistance
K1 - kriging
K1 - inverse distance weighted
K1 - radial basis functions
K1 - polynomial
AB - Geotechnical studies to identify physical properties of soils is important in designs. Borehole drilling, sampling and geotechnical tests in addition to cost and time may lead to irreparable losses, such as gas pipelines, reversal of nearby buildings and so on. In conventional buildings using spatial interpolation methods can be made to solve this problem without the performing required examinations. In the study, geostatistical methods such as kriging, inverse distance weighted, radial basis functions, local polynomial and global polynomial is used for estimating the allowable resistance. The results indicate that the interpolation methods, ordinary kriging with spherical model with the greatest correlation and least squares error (R2 =NASH=0/94, NRMSE =0/018) is the best method to estimate allowable soil resistance.
LA eng
UL http://geographical-space.iau-ahar.ac.ir/article-1-1633-en.html
M3
ER -