Modelling and Managing Soil Water Repellency: A Mechanistic Framework for Dryland Agricultural Systems

This research aims to develop a mechanistic framework for understanding and managing soil water repellency (SWR) in dryland agricultural systems by identifying the causes of hydrophobicity, examining its effects on water infiltration and flow, improving HYDRUS-based simulation models, and evaluating the potential of biogels to reduce SWR.

The methodology combines soil sampling and characterization, laboratory infiltration experiments, contact angle measurements, X-ray computed tomography (CT) imaging, and numerical modelling to investigate soil–water interactions and preferential flow processes. Expected outcomes include a comprehensive dataset on SWR behaviour, validated predictive models of water movement, improved understanding of soil–biopolymer interactions, scientific publications, and practical management strategies to enhance water-use efficiency, crop establishment, and resilience in water-limited farming systems.

Indonesia Endowment Fund for Education Agency (LPDP)