Results 21 to 30 of about 78,859 (235)
Assessment of Severity of Droughts Using Geostatistics Method(Case Study: Southern Iran) [PDF]
Desert, 2013 Drought monitoring is a fundamental component of drought risk management. It is normally performed usingvarious drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables.In many instances, drought ...
A. Nohegar, M. Heydarzadeh, A. Malekian
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Ordinary kriging as a tool to estimate historical daily streamflow records [PDF]
Hydrology and Earth System Sciences, 2016 Efficient and responsible management of water resources relies on accurate streamflow records. However, many watersheds are ungaged, limiting the ability to assess and understand local hydrology.
W. H. Farmer
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Raster data projection transformation based-on Kriging interpolation approximate grid algorithm
Alexandria Engineering Journal, 2021 To solve the problems of small area, slow calculation speed and low precision in the projection transformation algorithm of raster data, the idea of using Kriging interpolation approximate grid algorithm for raster data projection transformation is ...
Junzhen Meng
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Stochastic modeling error reduction using Bayesian approach coupled with an adaptive Kriging based model [PDF]
, 2014 Purpose - Magnetic material properties of an electromagnetic device (EMD) can be recovered by solving a coupled experimental numerical inverse problem. In order to ensure the highest possible accuracy of the inverse problem solution, all physics of the ...
Dupré, Luc +1 more
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Soil and Water Research, 2013 North Bohemia belongs to one of the most heavily industrialized and polluted regions in Europe. The enormous acid deposition which culminated in the 1970s has largely contributed to the accelerated acidification process in the soils and consequently to ...
Radim VAŠÁT +4 more
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Monitoring of power factor for induction machines using estimation techniques [PDF]
, 2015 Power factor is a significant element in power systems which is defined as the angle difference between voltages and currents that produces power fluctuation between sources and loads.
Abbod, M, Khodapanah, M, Zobaa, AF
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On Prediction Properties of Kriging: Uniform Error Bounds and Robustness
, 2019 Kriging based on Gaussian random fields is widely used in reconstructing unknown functions. The kriging method has pointwise predictive distributions which are computationally simple. However, in many applications one would like to predict for a range of
Tuo, Rui, Wang, Wenjia, Wu, C. F. Jeff
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Investigation of Spatial Variation of Some Soil Properties Using Geostatistical Methods (Case study: Margon Town, Kohgiluyeh and Boyer-Ahmad Province, Iran) [PDF]
محیط زیست و مهندسی آبThe aim of this study was to investigate the spatial variation of some soil properties such as soil texture, organic carbon content, soil pH and electrical conductivity (EC) using geostatistical methods in Margon town, Kohgiluyeh and Boyer-Ahmad province,
Vali Behnam +2 more
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Kriging Interpolating Cosmic Velocity Field
, 2015 [abridged] Volume-weighted statistics of large scale peculiar velocity is preferred by peculiar velocity cosmology, since it is free of uncertainties of galaxy density bias entangled in mass-weighted statistics.
Jing, Yipeng +3 more
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Journal of China University of Geosciences, 2008 Indicator kriging (IK) is a spatial interpolation technique devised for estimating a conditional cumulative distribution function at an unsampled location. The result is a discrete approximation, and its corresponding estimated probability density function can be viewed as a composition in the simplex. This fact suggested a compositional approach to IK
Tolosana-Delgado, Raimon +2 more
openaire +2 more sources