Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised Beds
This paper considers the application of a scenario simulation technique to assess subsurface drip irrigation system efficiency while using it to irrigate crops grown under raised bed technology. For simulating purposes, we use a model based on the two-dimensional Richards equation stated in terms of...
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MDPI AG
2024-03-01
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Series: | Eng |
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Online Access: | https://www.mdpi.com/2673-4117/5/1/24 |
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author | Vsevolod Bohaienko Mykhailo Romashchenko Andrii Shatkovskyi Maksym Scherbatiuk |
author_facet | Vsevolod Bohaienko Mykhailo Romashchenko Andrii Shatkovskyi Maksym Scherbatiuk |
author_sort | Vsevolod Bohaienko |
collection | DOAJ |
description | This paper considers the application of a scenario simulation technique to assess subsurface drip irrigation system efficiency while using it to irrigate crops grown under raised bed technology. For simulating purposes, we use a model based on the two-dimensional Richards equation stated in terms of water head in a curvilinear domain. Solutions to problems are obtained using a finite-difference scheme with dynamic time step change. Using the data from pressure measurements obtained while growing potatoes on sandy loess soil in production conditions, we performed a calibration of the model using the particle swarm optimization algorithm. Further, the accuracy of the model was tested and average absolute errors in the range from 3.16 to 5.29 kPa were obtained. Having a calibrated model, we performed a series of simulations with different irrigation pipeline placements determining the configuration under which water losses are minimal. The simulated configuration, under which infiltration losses were minimal, was the installation of pipelines under the raised bed at the depth of 10 cm below the soil surface. The results confirm that the applied technique can be used for decision-making support while designing subsurface drip irrigation systems combined with raised bed growing technology. |
first_indexed | 2024-04-24T18:20:40Z |
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id | doaj.art-d19075ae3e4e41e9b789c8f5adf492c9 |
institution | Directory Open Access Journal |
issn | 2673-4117 |
language | English |
last_indexed | 2024-04-24T18:20:40Z |
publishDate | 2024-03-01 |
publisher | MDPI AG |
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series | Eng |
spelling | doaj.art-d19075ae3e4e41e9b789c8f5adf492c92024-03-27T13:36:00ZengMDPI AGEng2673-41172024-03-015144746010.3390/eng5010024Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised BedsVsevolod Bohaienko0Mykhailo Romashchenko1Andrii Shatkovskyi2Maksym Scherbatiuk3VM Glushkov Institute of Cybernetics of NAS of Ukraine, 03187 Kyiv, UkraineResearch Sector, Kyiv Agrarian University, 03022 Kyiv, UkraineInstitute of Water Problems and Land Reclamation, National Academy of Agrarian Sciences of Ukraine, 03022 Kyiv, UkraineInstitute of Water Problems and Land Reclamation, National Academy of Agrarian Sciences of Ukraine, 03022 Kyiv, UkraineThis paper considers the application of a scenario simulation technique to assess subsurface drip irrigation system efficiency while using it to irrigate crops grown under raised bed technology. For simulating purposes, we use a model based on the two-dimensional Richards equation stated in terms of water head in a curvilinear domain. Solutions to problems are obtained using a finite-difference scheme with dynamic time step change. Using the data from pressure measurements obtained while growing potatoes on sandy loess soil in production conditions, we performed a calibration of the model using the particle swarm optimization algorithm. Further, the accuracy of the model was tested and average absolute errors in the range from 3.16 to 5.29 kPa were obtained. Having a calibrated model, we performed a series of simulations with different irrigation pipeline placements determining the configuration under which water losses are minimal. The simulated configuration, under which infiltration losses were minimal, was the installation of pipelines under the raised bed at the depth of 10 cm below the soil surface. The results confirm that the applied technique can be used for decision-making support while designing subsurface drip irrigation systems combined with raised bed growing technology.https://www.mdpi.com/2673-4117/5/1/24simulationmoisture transportsubsurface drip irrigationraised bed technology |
spellingShingle | Vsevolod Bohaienko Mykhailo Romashchenko Andrii Shatkovskyi Maksym Scherbatiuk Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised Beds Eng simulation moisture transport subsurface drip irrigation raised bed technology |
title | Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised Beds |
title_full | Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised Beds |
title_fullStr | Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised Beds |
title_full_unstemmed | Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised Beds |
title_short | Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised Beds |
title_sort | simulation based assessment of subsurface drip irrigation efficiency for crops grown in raised beds |
topic | simulation moisture transport subsurface drip irrigation raised bed technology |
url | https://www.mdpi.com/2673-4117/5/1/24 |
work_keys_str_mv | AT vsevolodbohaienko simulationbasedassessmentofsubsurfacedripirrigationefficiencyforcropsgrowninraisedbeds AT mykhailoromashchenko simulationbasedassessmentofsubsurfacedripirrigationefficiencyforcropsgrowninraisedbeds AT andriishatkovskyi simulationbasedassessmentofsubsurfacedripirrigationefficiencyforcropsgrowninraisedbeds AT maksymscherbatiuk simulationbasedassessmentofsubsurfacedripirrigationefficiencyforcropsgrowninraisedbeds |