Results 41 to 50 of about 32,562 (111)
Kriging Interpolation for Constructing Database of the Atmospheric Refractivity in Korea
This paper presents a Kriging interpolation method for constructing a database of atmospheric refractivity in Korea. To collect as much data as possible for the interpolation, meteorological data from 120 regions of Korea, including both land and sea ...
Doyoung Jang, Nammoon Kim, Hosung Choo
doaj +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Spatial Interpolation of Geotechnical Properties Using EBK, IDW, and Kriging: A Case Study in Astana, Kazakhstan [PDF]
This paper investigates the performance of interpolation methods for defining intermediate geotechnical soil properties, such as Empirical Bayesian Kriging (EBK), Inverse Distance Weighting (IDW), and ordinary Kriging.
Mukhamejanova Assel +4 more
doaj +1 more source
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza +3 more
wiley +1 more source
Based on Open CASCADE and Ordinary Kriging interpolation algorithm, a software development framework adding geostatistical interpolation algorithm to CAD geometry operation core for three-dimensional hydrogeological modeling is designed.
LI Peng, JIN Dewu, CHENG Jianyuan, ZHAO Chunhu
doaj +1 more source
Fluid flow through a single fracture is commonly described by the cubic law. However, deviations from this model are expected because natural fracture surfaces are rough and in contact with each other in discrete regions. In this study, the interactions between fracture closure, contact area, and hydraulic characterization of mesoscopicāscale rough ...
Chenghao Han +5 more
wiley +1 more source
A generative deep neural network as an alternative to co-kriging
In geosciences, kriging is leading spatial interpolation, and co-kriging is the most commonly used method for accomplishing spatial interpolation of a target variable by incorporating information from a secondary variable.
Herbert Rakotonirina +3 more
doaj +1 more source
Surface roughness measurements using UAV LiDAR and analysis of uncertainty factors
Abstract Surface root mean square height (SRMSH) is a key parameter characterizing surface roughness; it reflects soil hydrological properties and influences related physical processes. LiDAR offers an effective means for measuring SRMSH over large areas, yet the method involves several uncertainty factors that require further investigation.
Xiangdong Qin, Zhiguo Pang, Jingxuan Lu
wiley +1 more source
Spatial data is data that is presented in the geographic of an object, related to the location, shape and relationship of the earth in space. One of example of spatial data is rainfall. To determine the value of rainfall in an area, built to predict rain
PUTU MIRAH PURNAMA D. +2 more
doaj +1 more source
Spatial characteristics of thunderstorm rainfall fields and their relation to runoff [PDF]
The main aim of this study was to assess the ability of simple geometric measures of thunderstorm rainfall in explaining the runoff response from the watershed. For calculation of storm geometric properties (e.g.
Goodrich, DC +3 more
core +1 more source

