Results 121 to 130 of about 2,909,867 (244)

A Bayesian Geostatistical Approach to Analyzing Groundwater Depth in Mining Areas

Geosciences
This study addresses the spatial variability of groundwater levels within a mining basin in Greece. The objective is to develop an accurate spatial model of groundwater levels in the area to support an integrated groundwater management plan.
Maria Chrysanthi, Andrew Pavlides, Emmanouil A Varouchakis   +2 more
doaj   +1 more source

Comparison of Gaussian process modeling software [PDF]

, 2016
Gaussian process fitting, or kriging, is often used to create a model from a set of data. Many available software packages do this, but we show that very different results can be obtained from different packages even when using the same data and model ...
Ankenman, Bruce E., Erickson, Collin B., Sanchez, Susan M.   +2 more
core   +2 more sources

REGIONALIZATION OF PROBABLE RAINFALL USING REGRESSION ANALYSIS AND KRIGING

Doboku Gakkai Ronbunshu, 1992
地域内のいくつかの観測地点のデータから, 観測データのない地点の推定量を求める方法について検討する. 本研究では, 特に流域内任意地点の確率雨量を対象として, それを推定するのに, 回帰分析法と kriging 法を用いる. これらの方法によれば, 任意地点の確率雨量の推定値のみならず, その推定精度も得られる. 地形効果を考慮するために, 回帰分析法と kriging 法を組み合わせた方法を試みる. 野洲川流域を対象として, 上記の方法の推定精度を比較検討して, その利害得失を明らかにしている.
Kaoru TAKARA, Akio OKA
openaire   +2 more sources

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

Energy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.
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, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Khurram Hashmi, Abbas Javed, Basem Alamri, Krzysztof Ejsmont   +6 more
wiley   +1 more source

Machine learning and topological kriging for river water quality data interpolation

AIMS Environmental Science
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, Kris Suryowati, Maria Oktafiana Dedu, Eka Sulistyaningsih, Erma Susanti   +4 more
doaj   +1 more source

Active Pediatric Systemic Lupus Erythematosus in Fars Province, Iran: Associations With Geographical and Meteorological Determinants—A Retrospective Cross‑Sectional Study

Health Science Reports, Volume 9, Issue 2, February 2026.
ABSTRACT Background and Aims Pediatric systemic lupus erythematosus (SLE) is a complex autoimmune disease influenced by genetic and environmental factors such as sunlight and temperature. This retrospective study investigated the association between meteorological and geographical factors and active pediatric SLE in Fars province, southwest Iran ...
Zahra Kanannejad, Walter Robert Taylor, Koorosh Nikaein, Seyed Hesamedin Nabavizadeh, Soheila Alyasin, Ali Ghorbanpour, Mohammad Amin Ghatee   +6 more
wiley   +1 more source

Spatial Downscaling of the Tropical Rainfall Measuring Mission Precipitation Using Geographically Weighted Regression Kriging over the Lancang River Basin, China

Chinese Geographical Science, 2019
Satellite-based precipitation products have been widely used to estimate precipitation, especially over regions with sparse rain gauge networks. However, the low spatial resolution of these products has limited their application in localized regions and ...
Yungang Li, Yueyuan Zhang, Daming He, Xian Luo, X. Ji   +4 more
semanticscholar   +1 more source

Forcing of Subannual‐to‐Decadal Sea Level Variability and the Recent Rapid Rise Along the U.S. Gulf Coast

Journal of Geophysical Research: Oceans, Volume 131, Issue 2, February 2026.
Abstract From the mid‐late 2000s through at least the mid‐2010s, dynamic sea level (DSL) along the U.S. Gulf Coast rose at a rate of ∼5–6 mm yr−1 ${\text{yr}}^{-1}$, almost twice the rate of global mean steric plus barystatic sea level rise. Previous statistical and numerical modeling studies have suggested a number of hypotheses for this enhanced rise.
Andrew Delman, Ou Wang, Tong Lee
wiley   +1 more source

Mapping Topsoil Total Nitrogen Using Random Forest and Modified Regression Kriging in Agricultural Areas of Central China. [PDF]

Plants (Basel), 2023
Zhang L, Wu Z, Sun X, Yan J, Sun Y, Liu P, Chen J.   +6 more
europepmc   +1 more source

Comparing the prediction performance, uncertainty quantification and extrapolation potential of regression kriging and random forest while accounting for soil measurement errors

Geoderma, 2022
Bertin Takoutsing, G. Heuvelink
semanticscholar   +1 more source