Optimizing the Main Drainage Channel Route Using GIS: A Case Study of Marvdasht-Kharameh Basin, Iran
Abstract
Efficient drainage canal route optimization is critical for sustainable water resource management, particularly in agricultural basins where effective runoff control and irrigation efficiency are essential. Traditional manual canal alignment methods are time-intensive, laborious, and costly, while fully automated GIS-based methods, despite their hydrological precision, often fail to account for land-use constraints and real-world feasibility. This study employs Geographic Information System (GIS) technology to identify the optimal main drainage canal route in the Marvdasht-Kharameh Basin, Iran, comparing three distinct approaches: (i) a manual method, (ii) an automated GIS-based method, and (iii) a hybrid approach integrating both techniques. The manual method, while flexible, exhibited limited hydrological accuracy, covering only 65% of primary drainage paths. The GIS-based method significantly improved hydrological precision (87%) but lacked practical feasibility considerations. The hybrid approach emerged as the most effective, achieving 94% hydrological accuracy, covering 98% of primary drainage routes, and ensuring full downstream connectivity. The hybrid method optimizes drainage network planning, reduces implementation costs, and enhances agricultural water management efficiency by integrating GIS-based hydrological modeling with expert-driven refinements. The findings contribute to advancing GIS-driven infrastructure planning, providing a scalable, cost-effective framework adaptable to other agricultural basins worldwide.
Keywords
References
- Sunny MAU. Unveiling spatial insights: navigating the parameters of dynamic Geographic Information Systems (GIS) analysis. International Journal of Science and Research Archive. 2024;11(2):1976-1985.
- Dirnböck T, Grabherr G. GIS assessment of vegetation and hydrological change in a high mountain catchment of the Northern Limestone Alps. Mt Res Dev. 2000;20(2):172-179.
- Bilal H, Lahlou FZ, Al-Ansari T. Land suitability assessment and self-sufficiency evaluation for fodder crop production in a hyper arid environment coupling GIS-based multi-criteria decision making and optimization. Ecol Modell. 2025;501:111021.
- Arianti I, Rafani M, Fitriani N, Vatria B. Development of an Adaptive Drainage System for Flood Mitigation Using GIS. European Journal of Applied Science, Engineering and Technology. 2024;2(6):81-89.
- Knox JW, Weatherhead EK, Bradley RI. Mapping the spatial distribution of volumetric irrigation water requirements for maincrop potatoes in England and Wales. Agric Water Manag. 1996;31(1-2):1-15.
- McKinney DC, Cai X. Linking GIS and water resources management models: an object-oriented method. Environmental Modelling & Software. 2002;17(5):413-425.
- Bianucci SP, Sordo-Ward Á, Garrote L. Current and future blue water availability for agriculture in the Mediterranean. In: EGU General Assembly Conference Abstracts. 2024:14767.
- Ganjali N, Guney C. A Multi‐Objective Optimization for Determination of Sustainable Crop Pattern Using Game Theory. Journal of Multi‐Criteria Decision Analysis. 2024;31(5-6):e70000.
Details
Primary Language
English
Subjects
Geospatial Information Systems and Geospatial Data Modelling
Journal Section
Research Article
Authors
Narges Ganjali
*
Türkiye
Publication Date
March 26, 2026
Submission Date
March 11, 2025
Acceptance Date
March 13, 2026
Published in Issue
Year 1970 Volume: 4 Number: 1