Bibliographic Details
| Title: |
Simulation-Based Assessment of Subsurface Drip Irrigation Efficiency for Crops Grown in Raised Beds |
| Authors: |
Vsevolod Bohaienko, Mykhailo Romashchenko, Andrii Shatkovskyi, Maksym Scherbatiuk |
| Source: |
Eng, Vol 5, Iss 1, Pp 447-460 (2024) |
| Publisher Information: |
MDPI AG, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| Subject Terms: |
simulation, moisture transport, subsurface drip irrigation, raised bed technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2673-4117 |
| Relation: |
https://www.mdpi.com/2673-4117/5/1/24; https://doaj.org/toc/2673-4117 |
| DOI: |
10.3390/eng5010024 |
| Access URL: |
https://doaj.org/article/d19075ae3e4e41e9b789c8f5adf492c9 |
| Accession Number: |
edsdoj.19075ae3e4e41e9b789c8f5adf492c9 |
| Database: |
Directory of Open Access Journals |
