Dari et al. (2024) Quantifying the Hydrological Impacts of Irrigation on a Mediterranean Agricultural Context Through Explicit Satellite‐Derived Irrigation Estimates

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Identification

• Journal: Water Resources Research
• Year: 2024
• Authors: Jacopo Dari, Pere Quintana Seguí, Anaïs Barella-Ortiz, Mehdi Rahmati, Carla Saltalippi, Alessia Flammini, Luca Brocca
• DOI: 10.1029/2023wr036510

Research Groups

Land Surface Modeling Hydrological Sciences Remote Sensing and Earth Observation

Short Summary

This study investigates the hydrological impact of irrigation in the Ebro basin (Spain) using the SURFEX/ISBA Land Surface Model, finding that incorporating satellite-derived irrigation data significantly improves the simulation of soil moisture and evaporative flux, leading to maximum increases of +30% for soil moisture and +220% for evaporation in July.

Objective

• To quantify how explicit, remote sensing-derived irrigation water use affects hydrological flux (total evaporative flux, drainage, and runoff) and state variables (surface soil moisture) within an anthropized portion of the Ebro basin.

Study Configuration

• Spatial Scale: A portion of the Ebro basin (Spain), focusing on a heavily irrigated area.
• Temporal Scale: Analysis of mean daily rates per month, focusing on the main watering season.

Methodology and Data

• Models used: SURFEX/ISBA (SURFace EXternalisée/Interaction Sol Biosphère Atmosphère) Land Surface Model.
• Data sources: Atmospheric forcing input; Remote sensing-derived irrigation amounts (added to liquid precipitation); MODIS (MODerate-resolution Imaging Spectroradiometer) satellite evapotranspiration data (for validation); Wavelet coherence analysis (for validation).

Main Results

• Surface soil moisture (SM) and total evaporative flux (E) were the variables most significantly impacted by the inclusion of irrigation during the main watering season.
• Considering mean daily rates per month, maximum increases over the irrigation districts were found in July: SM increased by +30%; E increased by +220%.
• The inclusion of irrigation data improved model performance, reducing the Root Mean Square Error (RMSE) between monthly anomalies of modeled E and MODIS reference data by 41% during the main watering season.

Contributions

• Demonstrated the potential of integrating explicit, satellite-derived irrigation water use data into Land Surface Models (LSMs) to accurately track anthropogenic impacts.
• Quantified the substantial influence of irrigation on key hydrological variables (SM and E) in a heavily managed basin.
• Validated the improved reliability of hydrological simulations in anthropized regions through comparison with satellite evapotranspiration data and wavelet coherence analysis.

Funding

Not specified in the text.

Citation

@article{Dari2024Quantifying,
  author = {Dari, Jacopo and Quintana‐Seguí, Pere and Barella-Ortiz, Anaïs and Rahmati, Mehdi and Saltalippi, Carla and Flammini, Alessia and Brocca, Luca},
  title = {Quantifying the Hydrological Impacts of Irrigation on a Mediterranean Agricultural Context Through Explicit Satellite‐Derived Irrigation Estimates},
  journal = {Water Resources Research},
  year = {2024},
  doi = {10.1029/2023wr036510},
  url = {https://doi.org/10.1029/2023wr036510}
}

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