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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
But, variation in all seasonal ET0 time series of Kilis site was not detected.
📌 3 Key Takeaways
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Objective & Hypothesis:Öz In the study, variability in reference evapotranspiration (ET0) from Southeastern Anatolian Project (GAP) area was investigated with linear regression method.
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Key Findings & Data:For the purpose, seasonal ET0 time series were formed from monthly reference evapotranspiration (ET0).
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Conclusion & Impact:But, variation in all seasonal ET0 time series of Kilis site was not detected.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Anahtar Kelimeler GAP · reference evapotranspiration · regression analysis
Özet
Öz In the study, variability in reference evapotranspiration (ET0) from Southeastern Anatolian Project (GAP) area was investigated with linear regression method. For the purpose, seasonal ET0 time series were formed from monthly reference evapotranspiration (ET0). The ET0 data sets of three sites showed a statistically significance decreasing trend while there was upward trend in some seasons of two sites. But, variation in all seasonal ET0 time series of Kilis site was not detected.
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Cite This Article
YÜREKLİ, K., CÖMERT, M. M., ERDOĞAN, M., DEMİR, S. (2019). Determination of seasonal variation in reference evapotranspiration using regression analysis. Akademik Ziraat Dergisi, Cilt: 8 - Sayı: 1, 59–62. https://ajindex.com/articles/261956