by Efthymios Chrysanthopoulos, Andreas Kallioras Environ. Process. 12, 47 (2025). https://doi.org/10.1007/s40710-025-00791-1 Abstract Soil structure is the predominant factor of water, gases, and nutrients movement within the unsaturated zone. Despite the growing interest in the influence of structured soil media on soil-water dynamics, there is a gap in explicit technical documentation

by Efthymios Chrysanthopoulos, Andreas Kallioras CATENA, 257, 109156. https://doi.org/10.1016/j.catena.2025.109156 Abstract The inherent characteristic of machine learning algorithms to extrapolate when the convex hull is expanded with new unseen instances, can be exploited in soil moisture prediction, concerning temporal and geographic extrapolation. This study describes the implementation of a machine learning

by Dimitra Pappa, Dimitris Kaliampakos Environments 2025, 12(2), 59; https://doi.org/10.3390/environments12020059 Abstract Wetlands are highly productive ecosystems with multidimensional value and significant social and economic impacts. Estimating the economic value of their non-marketed goods and services—benefits not traded in conventional markets—can provide essential insights to guide protection, restoration, and sustainable management

by Dimitra Pappa, Andreas Kallioras, Dimitris Kaliampakos Al-Qadisiyah Journal for Agriculture Sciences, 14(1), 90–106. https://doi.org/10.33794/qjas.2024.149833.1175 Abstract The present study concerns the plain of Arta, located in the northwestern part ofGreece, in one of the most surplus water areas of the country, where the highest annualprecipitation occurs. However, despite the region’s

by Efthymios Chrysanthopoulos, Martha Perdikaki, Konstantinos Markantonis and Andreas Kallioras Water 2024, 16(22), 3297; https://doi.org/10.3390/w16223297 – 17 Nov 2024 Abstract The present work aims to compare two different subsurface hydrological models, namely HYDRUS and MODFLOW UZF package, in terms of groundwater recharge; thus, both models were coupled with MODFLOW. The