Results 81 to 90 of about 543,708 (320)
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
Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil [PDF]
The objective of this work was to compare ordinary kriging with regression kriging to map soil properties at different depths in a tropical dry forest area in Brazil.
Gustavo Mattos Vasques +4 more
doaj +2 more sources
The most important step in a feasibility study of a mining project is the determination of reserves in situ. But the question which arises that no method of estimation can give exact value since there is inevitably an associated error when it is ...
Lamamra Abdessattar +2 more
semanticscholar +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 mesoscopic‐scale rough ...
Chenghao Han +5 more
wiley +1 more source
Machine learning and topological kriging for river water quality data interpolation
Monitoring of river water quality data is crucial to prevent river water pollution. With limited sampling data, the statistical method of kriging interpolation is indispensable. This method can predict unsampled values based on interconnected surrounding
Rokhana Dwi Bekti +4 more
doaj +1 more source
Optimal biased Kriging: Homeogram tapering and applications to geoid undulations in Korea
This article studies the Optimal Biased Kriging (OBK) approach which is an alternative geostatistical method that gives up the unbiasedness condition of Ordinary Kriging (OK) to gain an improved Mean Squared Prediction Error (MSPE).
Schaffrin B., Bae T.-S., Felus Y.
doaj +1 more source
This study presents an alternative vertical total electron content (VTEC) anomaly detection technique based on diurnal VTEC values. In order to assess the consistency of the results, Mw7.9 Wenchuan earthquake occurred on May 12, 2008 was chosen as case ...
Prapas Thammaboribal +3 more
doaj +1 more source
Using udometric network data to estimate an environmental covariate [PDF]
Manyhydrologicalandecologicalstudiesrecognizetheimportanceofcharacterizingthetemporalandspatialvari- ability of precipitation. In this study, geostatistical methodologies were developed in order to estimate a hydro-meteorological factor by (re)building ...
Costa, Marco, Gonçalves, A. Manuela
core +2 more sources
Correcting the Smoothing Effect of Ordinary Kriging Estimates
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source

