Agricultural Water Management—Coupling Hydrological and Crop Models
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 16
Special Issue Editors
Interests: eco-hydrological modelling; crop growth; soil-plant-atmosphere continuum; soil moisture; agricultural water management; solar-induced fluorescence; root water uptake; root growth
Interests: data assimilation; crop growth; soil-plant-atmosphere continuum; soil moisture; agricultural water management; solar-induced fluorescence; remote sensing; deep learning
Special Issue Information
Dear Colleagues,
In the context of global climate change, increasing water scarcity, and rising demands for food production, efficient agricultural water management has become a pressing global concern. Traditional approaches often rely on either hydrological models to simulate water movement and availability or crop models to project plant growth and yield. However, these approaches often fail to capture the complex, dynamic interactions between soil moisture, plant processes, and atmospheric drivers.
To address these challenges, there is a growing interest in coupling hydrological and crop models as an integrated strategy for better simulating the soil–plant–atmosphere continuum. By linking the strengths of both model types, researchers can improve predictions of crop performance under variable water availability, optimize irrigation strategies, and assess the impacts of climate variability on agricultural productivity. Such integrated modeling frameworks offer significant potential to enhance water use efficiency and support decision-making in precision agriculture and sustainable land management.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:
- Coupling frameworks and technical approaches between hydrological models and crop models;
- Coupled model calibration, validation, and uncertainty analysis;
- Improving yield prediction accuracy and water management efficiency through data assimilation and remote sensing integration;
- Applications of the models in water-saving irrigation and drought adaptation;
- Scenario analysis under future climate and land-use change based on process-based models.
We look forward to receiving your contributions.
Dr. Yunfei Wang
Dr. Danyang Yu
Guest Editors
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Keywords
- eco-hydrological modeling
- crop modeling
- model coupling
- soil–plant–atmosphere continuum
- agricultural water management
- root growth and water uptake
- soil moisture
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