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Simulation of peak-demand hydrographs in pressurized irrigation delivery systems using a deterministic–stochastic combined model. Part I: model development

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Abstract

This study describes a model named HydroGEN that was conceived for simulating hydrographs of daily volumes and hourly flow rates during peak-demand periods in pressurized irrigation delivery networks with on-demand operation. The model is based on a methodology consisting of deterministic and stochastic components and is composed of a set of input parameters to reproduce the crop irrigation management practices followed by farmers and of computational procedures enabling to simulate the soil water balance and the irrigation events for all cropped fields supplied by each delivery hydrant in a distribution network. The input data include values of weather, crop, and soil parameters, as well as information on irrigation practices followed by local farmers. The resulting model outputs are generated flow hydrographs during the peak-demand period, which allow the subsequent analysis of performance achievable under different delivery scenarios. The model can be applied either for system design or re-design, as well as for analysis of operation and evaluation of performance achievements of on-demand pressurized irrigation delivery networks. Results from application of HydroGEN to a real pressurized irrigation system at different scales are presented in a companion paper (Part II: model applications).

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Acknowledgments

The authors would like to express their gratitude to the Division of Land and Water Resources Management at the CIHEAM-Mediterranean Agronomic Institute of Bari (Italy), to the Water Users Organization “Consorzio per la bonifica della Capitanata” of Foggia (Italy), and to the Remote Sensing Services Laboratory, Department of Civil and Environmental Engineering—Irrigation Engineering Division, at Utah State University (USA), which jointly made this research work possible, and for the valuable assistance provided during all phases of data collection, processing and analysis. The research work presented in this study was conducted via a fellowship under the OECD Co-operative Research Programme 2010 on Biological Resource Management for Sustainable Agricultural Systems.

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Authors and Affiliations

  1. Division of Land and Water Resources Management, Mediterranean Agronomic Institute of Bari (CIHEAM-IAMB), Via Ceglie, 9, 70010, Valenzano, Bari, Italy

    Daniele Zaccaria & Nicola Lamaddalena

  2. Irrigation Engineering Division, Department of Civil and Environmental Engineering, Utah State University, Logan, UT, 84322-4110, USA

    Christopher M. U. Neale & Gary P. Merkley

  3. Istituto di Ricerca Sulle Acque (IRSA), Consiglio Nazionale delle Ricerche (CNR), Via De Blasio, 5, 70125, Bari, Italy

    Nicola Palmisano & Giuseppe Passarella

Authors
  1. Daniele Zaccaria
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  2. Nicola Lamaddalena
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  3. Christopher M. U. Neale
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  4. Gary P. Merkley
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  5. Nicola Palmisano
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  6. Giuseppe Passarella
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Correspondence to Daniele Zaccaria.

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Communicated by J. Kijne.

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Zaccaria, D., Lamaddalena, N., Neale, C.M.U. et al. Simulation of peak-demand hydrographs in pressurized irrigation delivery systems using a deterministic–stochastic combined model. Part I: model development. Irrig Sci 31, 209–224 (2013). https://doi.org/10.1007/s00271-011-0317-x

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