No single spatial interpolation method reigns supreme for modelling the precise spatial
distribution of groundwater quality data. This study addresses this challenge by evaluating …

Continental shelf sediments contain some of the largest stocks of organic carbon (OC) on
Earth and play a vital role in influencing the global carbon cycle. Quantifying how much OC …

An artificial intelligence-based geostatistical optimization algorithm was developed to
upgrade a test Iranian aquifer's existing groundwater monitoring network. For that aquifer, a …

This study aims to construct a coastal vulnerability assessment conceptual framework to
improve the outcomes of Coastal Vulnerability Index (CVI) for local scale areas …

Canola (Brassica napus L.) yield prediction using a combined application of small
unmanned aerial system (sUAS) and vegetation indices (VIs) have gained significant …

Abstract Despite the European Mediterranean Region (Euro-Med) being highly vulnerable
to climate change the evaluation of General Circulation Models (GCMs) is limited in this …

The uses of variogam and kriging as a tool in geostatistical analysis have gained greater
prominence recently in the diverse scientific field, especially for mineral exploration purpose …

The ground-based gravity data reveals diverse anomaly signatures in areas of the Main
Ethiopian rift where active volcanic and tectonic activities are dominant. In such a region …

The rainfall erosivity factor (R-factor) is the critical factor for calculating the rates of soil
erosion implemented by many soil erosion modeling methods, such as the Revised …

The comprehensive and accurate assessment of the indoor air quality (IAQ) in large spaces,
such as offices or multipurpose facilities, is essential for IAQ management. It is widely …