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Advancing Sustainable Water Management in Southern Italy Through Integrated Hydrological Modeling and Earth Observation

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Computational Science and Its Applications – ICCSA 2024 Workshops (ICCSA 2024)

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Abstract

In water-scarce regions, effective water resource management is crucial for performing sustainable agriculture. Scientists and decision-makers increasingly exploit the coupled use of hydrological and crop models to address resource conservation and productivity challenges. While emphasizing crop system performance and environmental impact assessment, equal attention is needed for ensuring sustainable crop production and effective water management.

In response to these needs, the Italian Space Agency (ASI), within the framework of the I4DP-SCIENCE programme, supports the collaborative THETIS project (EarTH Observation for the Early forecasT of Irrigation needS; Agreement n. 2023-52-HH.0).

THETIS aims at developing a spatial decision support system that integrates hydrologic and crop growth models with advanced Earth observation (EO) products, Artificial Intelligence, and a WEBGIS interface. Starting activities focus on processing tomatoes, which are highly water-demanding. A synergic data exchange between models is established to provide estimates of water needs before, at the beginning, and during the irrigation season with periodic updates.

An essential component of the project entails producing estimated time series of root zone soil moisture, crucial for initializing the AquaCrop model and evaluating the water balance within the designated fields. To accomplish this task, in the THETIS project a joint use of the daily basin-scale hydrological model DREAM and the physically based Soil Moisture Analytical Relationship (SMAR) model forming a Soil Water Balance (SWB) module is proposed.

This paper provides a brief contextualization of the THETIS project focusing on the need for reliable estimations of soil moisture dynamics. To this end a review of the existing application of SMAR model is presented. It helped to draw remarks about the main challenges and perspectives of use of the model within a context where soil moisture may be strongly influenced by irrigation volumes and agricultural practices.

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Author information

Authors and Affiliations

  1. Politecnico di Bari, Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Bari, Italy

    Vito Iacobellis, Andrea Gioia, Vincenzo Totaro, Margherita Lombardo & Aras Botan Izzaddin

  2. Università degli Studi di Napoli Federico II, Dipartimento di Ingegneria Civile, Edile e Ambientale (DICEA), Napoli, Italy

    Salvatore Manfreda & Ruodan Zhuang

  3. Consiglio Nazionale Delle Ricerche (CNR), Istituto per il Rilevamento Elettromagnetico dell’Ambiente (IREA), Bari, Italy

    Giuseppe Satalino, Anna Balenzano, Cinzia Albertini, Francesco Mattia, Francesco Lovergine & Davide Palmisano

  4. Consiglio per la Ricerca in Agricoltura e l’analisi dell’Economia Agraria (CREA), Cerealicoltura e Colture Industriali (CREA-CI), Foggia, Italy

    Michele Rinaldi

  5. Consiglio per la Ricerca in Agricoltura e l’analisi dell’Economia Agraria (CREA), Agricoltura e Ambiente (CREA-AA), Bari, Italy

    Sergio Ruggieri & Pasquale Garofalo

  6. Università degli Studi di Bari Aldo Moro, Dipartimento di Informatica, Bari, Italy

    Donato Impedovo

  7. Consorzio per la Bonifica della Capitanata, Foggia, Italy

    Nicoletta Noviello, Luigi Nardella & Michele Di Cataldo

  8. Agenzia Spaziale Italiana (ASI), Rome, Italy

    Rocchina Guarini, Maria Virelli, Patrizia Sacco & Deodato Tapete

Authors
  1. Vito Iacobellis
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  2. Andrea Gioia
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  3. Vincenzo Totaro
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  4. Margherita Lombardo
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  5. Aras Botan Izzaddin
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  6. Salvatore Manfreda
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  7. Ruodan Zhuang
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  8. Giuseppe Satalino
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  9. Anna Balenzano
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  10. Cinzia Albertini
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  11. Francesco Mattia
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  12. Francesco Lovergine
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  13. Davide Palmisano
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  14. Michele Rinaldi
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  15. Sergio Ruggieri
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  16. Pasquale Garofalo
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  17. Donato Impedovo
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  18. Nicoletta Noviello
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  19. Luigi Nardella
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  20. Michele Di Cataldo
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  21. Rocchina Guarini
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  22. Maria Virelli
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  23. Patrizia Sacco
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  24. Deodato Tapete
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Corresponding author

Correspondence to Vito Iacobellis .

Editor information

Editors and Affiliations

  1. University of Perugia, Department of Mathematics and Computer Science, Perugia, Italy

    Osvaldo Gervasi

  2. School of Engineering, University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Department of Civil and Environmental Engineering and Architecture, University of Cagliari, Cagliari, Italy

    Chiara Garau

  4. Faculty of Information Technology, Clayton Campus, Monash University, Clayton, VIC, Australia

    David Taniar

  5. Algoritmi Research Centre, University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  6. Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy

    Maria Noelia Faginas Lago

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Iacobellis, V. et al. (2024). Advancing Sustainable Water Management in Southern Italy Through Integrated Hydrological Modeling and Earth Observation. In: Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A.M.A., Faginas Lago, M.N. (eds) Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024. Lecture Notes in Computer Science, vol 14819. Springer, Cham. https://doi.org/10.1007/978-3-031-65282-0_14

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  • DOI: https://doi.org/10.1007/978-3-031-65282-0_14

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