IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v264y2022ics037837742200049x.html
   My bibliography  Save this article

Nonlinear model predictive control of salinity and water level in polder networks: Case study of Lissertocht catchment

Author

Listed:
  • Aydin, Boran Ekin
  • Oude Essink, Gualbert H.P.
  • Delsman, Joost R.
  • van de Giesen, Nick
  • Abraham, Edo

Abstract

A significant increase in surface water salinization in low-lying deltas is expected globally due to saline groundwater exfiltration driven by rising sea levels and decreasing freshwater availability. Sustaining fresh water-dependent agriculture in such areas will entail an increased demand for fresh water flushing. Unfortunately, the flushing of surface water is not operationally optimised and results in excessive use of scarce freshwater. To meet the increased demand for flushing, while minimizing the need for diverted freshwater, new operational designs are required. This paper presents a novel network model based approach that uses De Saint Venant (SV) and Advection Dispersion (AD) equations to optimize multiple objectives on water level and salinity control using a Nonlinear Model Predictive Control (NMPC). The resulting NMPC problem is solved with a receding horizon implementation, where the nonlinear program (NLP) at each iteration is solved using state-of-the-art large scale interior point solver (IPOPT). We evaluate the performance of the proposed approach and compare it to the traditional fixed flushing for a representative Dutch polder. Firstly, the approach is shown to be capable of controlling the water level and salinity level in the polder. Secondly, the results highlight that the network of canals, which were originally made for drainage, could not be made sufficiently fresh with current intake capacity. A simple design approach was used to identify appropriate new capacities for two of the gates that allow optimal flushing to guarantee the required water level and salinity constraints.

Suggested Citation

  • Aydin, Boran Ekin & Oude Essink, Gualbert H.P. & Delsman, Joost R. & van de Giesen, Nick & Abraham, Edo, 2022. "Nonlinear model predictive control of salinity and water level in polder networks: Case study of Lissertocht catchment," Agricultural Water Management, Elsevier, vol. 264(C).
    • Handle: RePEc:eee:agiwat:v:264:y:2022:i:c:s037837742200049x
    DOI: 10.1016/j.agwat.2022.107502
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837742200049X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107502?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Raats, Peter A.C., 2015. "Salinity management in the coastal region of the Netherlands: A historical perspective," Agricultural Water Management, Elsevier, vol. 157(C), pages 12-30.
    2. Hassani, Yousef & Hashemy Shahdany, Seied Mehdy & Maestre, J.M. & Zahraie, Banafsheh & Ghorbani, Mohammad & Henneberry, Shida Rastegari & Kulshreshtha, Suren N., 2019. "An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing," Agricultural Water Management, Elsevier, vol. 221(C), pages 348-361.
    3. Romero, R. & Muriel, J.L. & García, I. & Muñoz de la Peña, D., 2012. "Research on automatic irrigation control: State of the art and recent results," Agricultural Water Management, Elsevier, vol. 114(C), pages 59-66.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhu, Zheli & Guan, Guanghua & Wang, Kang, 2023. "Distributed model predictive control based on the alternating direction method of multipliers for branching open canal irrigation systems," Agricultural Water Management, Elsevier, vol. 285(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zheng Yuan & Baohua Wen & Cheng He & Jin Zhou & Zhonghua Zhou & Feng Xu, 2022. "Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review," IJERPH, MDPI, vol. 19(11), pages 1-31, May.
    2. Silva, Marcos Dornelas Freitas Machado e & Calijuri, Maria Lúcia & Sales, Francisco José Ferreira de & Souza, Mauro Henrique Batalha de & Lopes, Lucas Sampaio, 2014. "Integration of technologies and alternative sources of water and energy to promote the sustainability of urban landscapes," Resources, Conservation & Recycling, Elsevier, vol. 91(C), pages 71-81.
    3. Pedro Garcia-Caparros & Juana Isabel Contreras & Rafael Baeza & Maria Luz Segura & Maria Teresa Lao, 2017. "Integral Management of Irrigation Water in Intensive Horticultural Systems of Almería," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
    4. Hrozencik, Aaron & Wallander, Steven & Aillery, Marcel, 2021. "Irrigation Organizations: Water Storage and Delivery Infrastructure," Economic Brief 327232, United States Department of Agriculture, Economic Research Service.
    5. Petit, Julien & García, Sílvia Mas & Molle, Bruno & Bendoula, Ryad & Ait-Mouheb, Nassim, 2022. "Methods for drip irrigation clogging detection, analysis and understanding: State of the art and perspectives," Agricultural Water Management, Elsevier, vol. 272(C).
    6. Habibeh Sharifi & Abbas Roozbahani & Seied Mehdy Hashemy Shahdany, 2021. "Evaluating the Performance of Agricultural Water Distribution Systems Using FIS, ANN and ANFIS Intelligent Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1797-1816, April.
    7. Chiara Bersani & Ahmed Ouammi & Roberto Sacile & Enrico Zero, 2020. "Model Predictive Control of Smart Greenhouses as the Path towards Near Zero Energy Consumption," Energies, MDPI, vol. 13(14), pages 1-17, July.
    8. Avargani, Habib Karimi & Hashemy Shahdany, S. Mehdy & Kamrani, Kazem & Maestre, Jose, M. & Hashemi Garmdareh, S. Ebrahim & Liaghat, Abdolmajid, 2022. "Prioritization of surface water distribution in irrigation districts to mitigate crop yield reduction during water scarcity," Agricultural Water Management, Elsevier, vol. 269(C).
    9. Luis Pastor Sánchez-Fernández & Diego Alberto Flores-Carrillo & Luis Alejandro Sánchez-Pérez, 2024. "Computer Model for an Intelligent Adjustment of Weather Conditions Based on Spatial Features for Soil Moisture Estimation," Mathematics, MDPI, vol. 12(1), pages 1-33, January.
    10. Leonardo D. Garcia & Camilo Lozoya & Antonio Favela-Contreras & Emanuele Giorgi, 2023. "A Comparative Analysis between Heuristic and Data-Driven Water Management Control for Precision Agriculture Irrigation," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
    11. Jolfan, Mohsen Hosseini & Hashemy Shahdany, S. Mehdy & Javadi, Saman & Milan, Sami Ghordoyee & Neshat, Aminreza & Berndtsson, Ronny & Tork, Hamed, 2023. "Modernization in agricultural water distribution system for aquifer storage and recovery – A case study," Agricultural Water Management, Elsevier, vol. 282(C).
    12. Afsaneh Kaghazchi & Seied Mehdy Hashemy Shahdany & Alireza Firoozfar, 2022. "Prioritization of agricultural water distribution operating systems based on the sustainable development indicators," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 23-40, February.
    13. Hrozencik, Aaron & Wallander, Steven & Aillery, Marcel, 2021. "Irrigation Organizations: Water Storage and Delivery Infrastructure," USDA Miscellaneous 314931, United States Department of Agriculture.
    14. Nathan Felipe da Silva Caldana & Pablo Ricardo Nitsche & Alan Carlos Martelócio & Anderson Paulo Rudke & Geovanna Cristina Zaro & Luiz Gustavo Batista Ferreira & Paulo Vicente Contador Zaccheo & Sergi, 2019. "Agroclimatic Risk Zoning of Avocado ( Persea americana ) in the Hydrographic Basin of Paraná River III, Brazil," Agriculture, MDPI, vol. 9(12), pages 1-11, December.
    15. Yonela Mndela & Naledzani Ndou & Adolph Nyamugama, 2023. "Irrigation Scheduling for Small-Scale Crops Based on Crop Water Content Patterns Derived from UAV Multispectral Imagery," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    16. Barkhordari, Soroush & Hashemy Shahdany, Seied Mehdy, 2021. "Developing a smart operating system for fairly distribution of irrigation water, based on social, economic, and environmental considerations," Agricultural Water Management, Elsevier, vol. 250(C).
    17. Karimi Avargani, Habib & Hashemy Shahdany, S. Mehdy & Hashemi Garmdareh, S. Ebrahim & Liaghat, Abdolmajid & Guan, Guanghua & Behzadi, Farhad & Milan, Sami Ghordoyee & Berndtsson, Ronny, 2023. "Operational loss estimation in irrigation canals by integrating hydraulic simulation and crop growth modeling," Agricultural Water Management, Elsevier, vol. 288(C).
    18. Yaltaghian Khiabani, M. & Hashamy Shahadany, S.M. & Maestre, J.M. & Stepanian, R. & Mallakpour, I., 2020. "Potential assessment of non-automatic and automatic modernization alternatives for the improvement of water distribution supplied by surface-water resources: A case study in Iran," Agricultural Water Management, Elsevier, vol. 230(C).
    19. Paul, Manashi & Negahban-Azar, Masoud & Shirmohammadi, Adel & Montas, Hubert, 2020. "Assessment of agricultural land suitability for irrigation with reclaimed water using geospatial multi-criteria decision analysis," Agricultural Water Management, Elsevier, vol. 231(C).
    20. Rob Roggema, 2021. "From Nature-Based to Nature-Driven: Landscape First for the Design of Moeder Zernike in Groningen," Sustainability, MDPI, vol. 13(4), pages 1-21, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:264:y:2022:i:c:s037837742200049x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.