Results 11 to 20 of about 584,789 (249)
Ordinary kriging approach to predicting long-term particulate matter concentrations in seven major Korean cities [PDF]
Environmental Health and Toxicology, 2014 Objectives Cohort studies of associations between air pollution and health have used exposure prediction approaches to estimate individual-level concentrations. A common prediction method used in Korean cohort studies is ordinary kriging.
Sun-Young Kim +6 more
doaj +2 more sources
International Journal of Mining Science and Technology, 2012 This paper is devoted to application of ordinary kriging method in Choghart north anomaly iron ore deposit in Yazd province, Iran. In order to estimate the deposit, 2329 input data gained from 26 boreholes were used.
Daya Ali Akbar
exaly +3 more sources
Sustainability, 2017 An accurate estimation of soil organic matter (SOM) content for spatial non-point prediction is an important driving force for the agricultural carbon cycle and sustainable productivity.
YILUN Liu
exaly +2 more sources
Lognormal Ordinary Kriging Metamodel in Simulation Optimization
Operations Research and Applications : An International Journal, 2018 This paper presents a lognormal ordinary kriging (LOK) metamodel algorithm and its application to optimize a stochastic simulation problem. Kriging models have been developed as an interpolation method in geology. They have been successfully used for the
M. Balaban, B. Dengiz
semanticscholar +3 more sources
A Comparison Between Bayesian and Ordinary Kriging Based on Validation Criteria: Application to Radiological Characterisation [PDF]
Mathematical Geosciences, 2023 In decommissioning projects of nuclear facilities, radiological characterisation aims to estimate the quantity and spatial distribution of different radionuclides.
Martin Wieskotten +4 more
semanticscholar +1 more source
Agronomy, 2022 Machine Learning (ML) algorithms have been used as an alternative to conventional and geostatistical methods in digital mapping of soil attributes. An advantage of ML algorithms is their flexibility to use various layers of information as covariates ...
Gustavo Willam Pereira +5 more
semanticscholar +1 more source
Taiyuan Ligong Daxue xuebao, 2022 In order to optimize the data analysis of radon detection, the ordinary Kriging interpolation pertaining to Geostatistics was introduced to avoid the interpolation distortion caused by the minimum curvature fitting method currently in effect.
Xuan LIU +3 more
doaj +1 more source
Ordinary Kriging Interpolation Method Combined with FEM for Arch Dam Deformation Field Estimation
Mathematics, 2023 The deformation characteristic of the arch dam can directly reflect its service performance, which can be analyzed on the basis of the dam deformation field.
Chenfei Shao +4 more
semanticscholar +1 more source
Guan'gai paishui xuebao, 2022 【Objective】 Canopy temperature varies with leaf water content and can be used as a proxy of crop water deficit. In this paper, we compare different interpolation methods for calculating spatial distribution of crop water deficit based on canopy ...
ZHANG Minne +3 more
doaj +1 more source
Evaluation of Interpolation Techniques for Estimating Groundwater Level and Groundwater Salinity in the Salman Farsi Sugarcane Plantation [PDF]
علوم و مهندسی آبیاری, 2021 Due to the essential role of groundwater resources as useable and depleting water resources, the study and management of groundwater exploitation are of great importance.
Atefeh Sayadi Shahraki +3 more
doaj +1 more source