Results 41 to 50 of about 6,225 (246)

Assessing the Spatial Distribution of Rainfall and the Effect of Altitude in Iran (Hamadan Province)

open access: yesAir, Soil and Water Research, 2017
Atmospheric phenomena have an enormous influence on natural resources and human life. Lack of sufficient information and knowledge in regard to the management of natural areas and ecosystems will bring about a huge cost. Hamadan province according to the
Seyyed Hadi Sadeghi   +2 more
doaj   +1 more source

XCO2 Fusion Algorithm Based on Multi-Source Greenhouse Gas Satellites and CarbonTracker

open access: yesAtmosphere, 2023
In view of the urgent need for high coverage and high-resolution atmospheric CO2 data in the study of carbon neutralization and global CO2 change research, this study combines the Kriging interpolation and the Triple Collision (TC) algorithm to fuse ...
Ailin Liang   +3 more
doaj   +1 more source

Building accurate radio environment maps from multi-fidelity spectrum sensing data [PDF]

open access: yes, 2015
In cognitive wireless networks, active monitoring of the wireless environment is often performed through advanced spectrum sensing and network sniffing. This leads to a set of spatially distributed measurements which are collected from different sensing ...
Couckuyt, Ivo   +9 more
core   +2 more sources

Spatial Modelling and Prediction Assessment of Soil Iron Using Kriging Interpolation with pH as Auxiliary Information

open access: yesISPRS International Journal of Geo-Information, 2017
In this study, different interpolation techniques are presented, assessed, and compared for the estimation of soil iron (Fe) contents in locations where observations were not available.
Panagiotis Tziachris   +3 more
doaj   +1 more source

A Novel Combination Co-Kriging Model Based on Gaussian Random Process

open access: yesMathematical Problems in Engineering, 2018
Co-Kriging (CK) modeling provides an efficient way to predict responses of complicated engineering problems based on a set of sample data obtained by methods with varying degree of accuracy and computation cost. In this work, the Gaussian random process (GRP) is introduced to construct a novel combination CK model (CK-GRP) to improve the prediction ...
Huan Xie   +4 more
openaire   +1 more source

OPTIMIZATION OF MULTI-FIDELITY DATA USING CO-KRIGING FOR HIGH DIMENSIONAL PROBLEMS [PDF]

open access: yesThe International Conference on Applied Mechanics and Mechanical Engineering, 2014
ABSTRACTThis paper deals with an efficient and multi-fidelity design strategy for high dimensional industrial problems. The most significant factors have been determined based on the Muschelknautz method of modeling (MM) using the screening approach. For cyclone separator, only four (from seven) geometrical parameters are significant.
Elsayed, Khairy, Lacor, Christian
openaire   +2 more sources

Geostatistics as a tool to improve the natural background level definition: An application in groundwater [PDF]

open access: yes, 2017
The Natural Background Level (NBL), suggested by UE BRIDGE project, is suited for spatially distributed datasets providing a regional value that could be higher than the Threshold Value (TV) set by every country.
DALLA LIBERA, Nico   +4 more
core   +1 more source

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu   +5 more
wiley   +1 more source

A comprehensive assessment of spatial interpolation methods for the groundwater quality evaluation of Lahore, Punjab, Pakistan

open access: yesNUST Journal of Engineering Sciences, 2017
Spatial interpolation is commonly used to generate water quality surfaces, but different spatial interpolation methods yield different surfaces from the same data.
Syed Umair Shahid   +2 more
doaj   +1 more source

Kriging, co-kriging and space mapping for microwave circuit modeling

open access: yes2011 41st European Microwave Conference, 2011
Space mapping (SM) is a popular technique that allows creating computationally cheap and reasonably accurate surrogates of EM-simulated microwave structures (so-called fine models) using underlying coarse models, typically equivalent circuits. Here, we consider various ways of enhancing SM surrrogates by exploiting additional training data as well as ...
Couckuyt, Ivo   +2 more
openaire   +2 more sources

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