A hybrid ensemble-based automated deep learning approach to generate 3D geo-models and uncertainty analysis

A Abbaszadeh Shahri, S Chunling… - Engineering with …, 2024 - Springer
There is an increasing interest in creating high-resolution 3D subsurface geo-models using
multisource retrieved data, ie, borehole, geophysical techniques, geological maps, and rock …

Predicting areal extent of groundwater contamination through geostatistical methods exploration in a data-limited rural basin

KI Islam - Groundwater for Sustainable Development, 2023 - Elsevier
The areal extent of regulatory standard exceedance for groundwater arsenic, fluoride, and
nitrate was estimated and compared for multiple methods to evaluate groundwater …

A risk-based approach for accurately delineating the extent of soil contamination: The role of additional sampling in transition zones

H Tao, L Luo, Y Li, D Zhao, H Cao, X Liao - Science of The Total …, 2024 - Elsevier
Accurate soil contamination delineation is crucial for deciding where remediation efforts are
required. However, misjudgments, either in underestimating or overestimating …

Assessing heavy metal contamination in agricultural soils: a new GIS-based Probabilistic Pollution Index (PPI)–case study: Guarda Region, Portugal

S Aparisi-Navarro, M Moncho-Santonja, B Defez… - Annals of …, 2025 - Taylor & Francis
Soil contamination by heavy metals is a global agricultural problem, as these elements can
be absorbed by plants and transferred to humans through the food pathway. Current …

Exploring error estimation methods for natural neighbour interpolation: preliminary research and analysis

M Iurcev, F Pettenati - Bulletin of Geophysics and Oceanography, 2023 - ricerca.ogs.it
Interpolation of scalar data, in the 2D space, is an important topic in many fields of
environmental and geoscience studies, and uncertainty assessment is as important as …