نتایج جستجو برای: ordinary kriging ok was suitable for ph
تعداد نتایج: 11235498 فیلتر نتایج به سال:
Abstract. In this study, the detection and characteristics of dry/wet spells (defined as episodes when precipitation is abnormally low or high compared to usual climatology) drawn from several datasets are for Senegal. Here, four based on satellite data (TRMM-3B42 V7, CMORPH V1.0, TAMSAT V3, CHIRPS V2. 0), two reanalysis products (NCEP-CFSR ERA5), three rain gauge observations (CPC Unified V1.0...
In light of the unavailability traffic volume data for all road segments, scientific literature proposes estimating this variable using spatial interpolators. However, most methods found use Euclidean distance between database points as a proximity measure, in addition to ignoring anisotropy phenomenon. Thus, objective present study was apply Ordinary Kriging (OK) with network distances and ani...
there are two major theories of measurement in psychometrics: classical test theory (ctt) and item-response theory (irt). despite its widespread and long use, ctt has a number of shortcomings, which make it problematic to be used for practical and theoretical purposes. irt tries to solve these shortcomings, and provide better and more dependable answers. one of the applications of irt is the as...
the purpose of this study is to identify the effect of ordinary kriging (ok) and inverse distance weighted (idw) estimation methods for the delineation of mineralized zones based on subsurface data using concentration–volume (c–v) multifractal modeling in the dardevey iron ore deposit, ne iran. variograms and anisotropic ellipsoid were generated for the fe distribution by the above estimation m...
asymmetric polyethersulfone (pes) microfiltration flat sheet membranes were composed by the phase inversion method (pim) and were used as supports. composite membranes were fabricated by coating silicone rubber as selective layer. effect of different concentrations of pes and pdms and different solvent such as nmp, dmf and dms effects as pes solvents and support thickness and different coagulat...
This paper evaluates the performance of spatial methods to estimate leaf area index (LAI) fields from ground-based measurements at high-spatial resolution over a cropland landscape. Three geostatistical model variants of the kriging technique, the ordinary kriging (OK), the collocated cokriging (CKC) and kriging with an external drift (KED) are used. The study focused on the influence of the sp...
Spatial patterns of soil moisture across a field seem to exhibit some degree of temporal stability, which has been proved to be related to such invariant attributes as topography and soil characteristics. However, how these patterns and locations might be predicted from these attributes is not well understood. Motivated by a desire to understand these relationships, the objective of this study ...
Aiming at the tracing problem of ambient air quality exceeding standard caused by unorganized emission multiple pollution sources in chemical industry park, an method based on OK-IGSO integrated algorithm is proposed. First all, ordinary Kriging (OK) geostatistics applied to prediction and interpolation atmospheric pollutants so that distribution closer reality; Then, improved glowworm (IGSO), ...
Accurate interpolation when compiling bathymetric maps is essential in any water depth study. In the case of Saldanha Bay, continuous dredging operations are constantly altering ocean floor, which has a detrimental effect on sedimentation and coastal hydrodynamics. If integrity coastline to be secured, accurate bathymetry predictions would invaluable determining erosion. Inverse distance weight...
The relationship between soil properties and environmental covariates is mostly nonlinear for human impacted areas. Herein, we proposed a model mapping organic carbon (SOC) total nitrogen (TN) in typical area (a small watershed of Poyang Lake, China), namely radial basis function neural network combined with agricultural land use (RBFNN_ALU). results showed that the RBFNN_ALU performs better th...
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