The aim of this paper to assesses the potential of machine learning approaches, ie multi-
linear regression (MLR), support vector regression (SVR), Gaussian process (GP) …

Infiltration models are very helpful in designing and evaluating surface irrigation systems.
The main purpose of this study is to compare infiltration models which are used to evaluate …

Abstract Knowledge of infiltration process is very helpful in designing and planning of
irrigation networks. In this study, the Artificial Neural Network (ANN) technique was used to …

Improving degradation rates of emerging organic compounds (EOCs) in groundwater is still
a challenge. Although their degradation is not fully understood, it has been observed that …

Physical heterogeneity determines interstitial fluxes in porous media. Nutrients and organic
matter distribution in depth influence physicochemical and microbial processes occurring in …

Redox potential (Eh) measurements are widely used as indicators of the dominant reduction–
oxidation reactions occurring underground. Yet, Eh data are mostly used in qualitative terms …

Managed Aquifer Recharge (MAR) is a technique used worldwide to increase the
availability of water resources. We study how MAR modifies microbial ecosystems and its …

Groundwater flow models are usually characterized as being either transient flow models or
steady state flow models. Given that steady state groundwater flow conditions arise as a …

Subsurface microorganisms must deal with quite extreme environmental conditions. The
lack of light, oxygen, and potentially nutrients are the main environmental stresses faced by …

Acquisition, management and/or use of spatial information are crucial for the quality of water
resources studies. In this sense, several geomatic methods arise at the service of water …