Evapotranspiration Estimation and Irrigation Performance Assessment Using Remote Sensing: A Case Study of the Ergani Dam Irrigation System (Turkey)
Irrigation and Drainage, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1002/ird.70181
- Dergi Adı: Irrigation and Drainage
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, Environment Index, Greenfile, INSPEC, Natural Science Collection (ProQuest)
- Anahtar Kelimeler: Ergani irrigation system, evapotranspiration, irrigation performance, METRIC, remote sensing
- Akdeniz Üniversitesi Adresli: Evet
Özet
Efficient water resource management is critical for sustainable agriculture, with evapotranspiration (ET) serving as a key parameter. Remote sensing (RS) techniques offer cost-effective approaches for ET estimation and irrigation performance assessment in extensive agricultural systems. This study evaluated the Ergani Dam Irrigation System (Diyarbakır, Turkey) performance using satellite-derived ET indicators for the 2023 and 2024 irrigation seasons. Actual ET was estimated using the METRIC model, whereas crop ET was calculated following FAO-56 guidelines. Performance indicators, including relative water supply (RWS), relative irrigation supply (RIS), overall consumed ratio, depleted fraction (DF), crop water deficit (CWD), relative evapotranspiration (RET) and relative rainfall supply (RRS), were evaluated. The results demonstrated excessive irrigation during April and May 2024, whereas irrigation deficits in June across both years induced crop water stress. July exhibited optimal conditions, whereas August 2023 showed over-irrigation, indicating water conservation potential. September revealed inefficient water utilisation despite excessive diversion. Seasonal values masked monthly temporal dynamics, demonstrating that monthly assessments provide superior diagnostic resolution. The study confirms that RS-based ET mapping is a valuable decision-support tool, whereas enhanced farmer awareness regarding water quantity and application timing would substantially improve irrigation performance and resource sustainability.