A 3D Irrigation Canal Alignment Optimization Model for a Steep-Sloping Area with Rectangular Inclined Drops

Mehdi Kazemi; Ebrahim Amiri Tokaldani; Manoj K. Jha; Ramesh Rudra

doi:10.47852/bonviewJCCE52024527

Authors

Mehdi Kazemi Department of Irrigation and Reclamation Engineering, University of Tehran, Iran https://orcid.org/0009-0008-3591-1249
Ebrahim Amiri Tokaldani Department of Irrigation and Reclamation Engineering, University of Tehran, Iran
Manoj K. Jha Department of Information Technology, University of Maryland Global Campus, USA https://orcid.org/0000-0001-7351-4764
Ramesh Rudra School of Engineering, University of Guelph, Canada

DOI:

https://doi.org/10.47852/bonviewJCCE52024527

Keywords:

three-dimensional canal route alignment, rectangular inclined drop, optimization, PSO algorithm, canal optimization

Abstract

Traditional optimization approaches for irrigation canal design have primarily focused on identifying cost-effective structural dimensions for simple cross-sections. However, these methods are inadequate for steep terrains where the construction of single or multiple rectangular inclined drops (RIDs) becomes essential. This study introduces a novel three-dimensional optimization model tailored for the optimal design of irrigation canals in such challenging environments. By integrating geospatial data with a particle swarm optimization (PSO) algorithm, the model establishes a continuous search space that facilitates the identification of cost-effective alignments while satisfying hydraulic and construction constraints. To validate its effectiveness, the model was applied to two synthetic case studies that feature varied terrain and slope conditions. Results demonstrated the model's strong capability in optimizing both canal alignment and RID placement. Comparative analysis with genetic algorithm and ant colony optimization revealed that PSO outperformed both in terms of solution accuracy and consistency. Moreover, the proposed model produced results comparable to conventional design methods but with significantly reduced computational time. In addition, pre-cost-estimation tables were developed for various canal route alternatives and RID configurations, offering practical insights for efficient planning and preliminary design of irrigation canals in complex, sloping regions.

Received: 11 October 2024 | Revised: 11 July 2025 | Accepted: 5 August 2025

Conflicts of Interest

Manoj K. Jha is an Associate Editor for Journal of Computational and Cognitive Engineering, and was not involved in the editorial review or the decision to publish this article. The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement

Mehdi Kazemi: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Visualization. Ebrahim Amiri Tokaldani: Conceptualization, Methodology, Validation, Formal analysis, Resources, Data curation, Writing – original draft, Supervision, Project administration. Manoj K. Jha: Conceptualization, Methodology, Validation, Formal analysis, Writing – original draft, Writing – review & editing, Supervision, Project administration. Ramesh Rudra: Validation, Supervision, Project administration.