Journals / Tarım Bilimleri Dergisi / 2014 / Cilt: 20 - Sayı: 3

Temporal variation of reference evapotranspiration (ET0) in Southeastern anatolia region and meteorological Drought analysis through RDI (Reconnaissance Drought Index) method

Güneydoğu Anadolu bölgesinde referans bitki su tüketiminin (ET0) zamansal değişimi ve RDI (Keşif kuraklık indeksi) yöntemiyle meteorolojik kuraklık analizi

Pages
248–260
Publication Date
2022-10-17
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, significant increasing trends for reference evapotranspiration have been detected and according to RDI method used for estimating meteorological drought in provinces, mild drought has been experienced in general, and however there have been also a significant amount of events where moderate and severely droughts occurred.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Analysis of temporal variation of reference evapotranspiration (ET0) is important in arid and semi-arid regions where water resources are limited.
📊
Key Findings & Data:In this study, temporal variation of reference evapotranspiration (ET0) and meteorological drought analysis through RDI (Reconnaissance Drought Index) method have been carried out in provinces of Southeastern Anatolia Region.
💡
Conclusion & Impact:As a result, significant increasing trends for reference evapotranspiration have been detected and according to RDI method used for estimating meteorological drought in provinces, mild drought has been experienced in general, and however there have been also a significant amount of events where moderate and severely droughts occurred.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Analysis of temporal variation of reference evapotranspiration (ET0) is important in arid and semi-arid regions where water resources are limited. In this study, temporal variation of reference evapotranspiration (ET0) and meteorological drought analysis through RDI (Reconnaissance Drought Index) method have been carried out in provinces of Southeastern Anatolia Region. Reference evapotranspiration of concerning provinces in the region has been estimated using Penman-Monteith method and one calendar year has been split up four periods as k1, k2, k3 and k4. Temporal variation of reference evapotranspiration according to four periods has been analyzed through parametric Dickey-Fuller test and non-parametric Mann-Whitney U test. As a result, significant increasing trends for reference evapotranspiration have been detected and according to RDI method used for estimating meteorological drought in provinces, mild drought has been experienced in general, and however there have been also a significant amount of events where moderate and severely droughts occurred.

Özet

Su kaynaklarının kısıtlı olduğu kurak ve yarı kurak bölgelerde referans bitki su tüketiminin zamansal değişiminin analizi oldukça önemlidir. Bu çalışmada Güneydoğu Anadolu Bölgesinde referans bitki su tüketiminin (ET0) zamansal değişimi ve RDI (Keşif Kuraklık İndeksi) yöntemiyle meteorolojik kuraklık analizi gerçekleştirilmiştir. Bölgedeki illere ait referans bitki su tüketimi Penman-Monteith yöntemiyle tahmin edilmiş ve bir yıl dört döneme (k1, k2, k3 ve k4) ayrılmıştır. Dört döneme göre referans bitki su tüketiminin zamansal değişimi parametrik Dickey-Fuller ve parametrik olmayan Mann Whitney U testleri ile analiz edilmiştir. Sonuç olarak referans bitki su tüketiminde zaman içinde önemli artan eğilimlerin olduğu saptanmış ve illerdeki meteorolojik kuraklığı tahmin etmek için uygulanan RDI yöntemine göre bölgede genelde hafif kuraklığın egemen olduğu ve önemli sayıda da orta ve şiddetli kuraklığın meydana geldiği görülmüştür.

🔖

Cite This Article

ANLI, A. S. (2022). Temporal variation of reference evapotranspiration (ET0) in Southeastern anatolia region and meteorological Drought analysis through RDI (Reconnaissance Drought Index) method. Tarım Bilimleri Dergisi, Cilt: 20 - Sayı: 3, 248–260. https://ajindex.com/articles/595033

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Agnew C T (1990) Spatial aspects of drought in the Sahel. Journal of Arid Environments 18: 279-293 Agnew C T & Warren A (1996) A framework for tackling drought and degradation: Journal of Arid Environments 33: 309-320
  2. Allen R G, Pereira L S, Raes D & Smith M (1998) Crop Evapotranspiration. (Guidelines for computing crop water requirements), FAO Irrigation and Drainage Paper No. 56 Anderson T W & Darling D A (1952) Asymptotic theory of certain “goodness-of-fit” criteria based on stochastic processes Annals of Mathematical Statistics 23: 193– 212 Anlı A S, Polat H E & Semiz G D (2011) Kırşehir ilinin kuraklığının analizi ve sulak alanlara etkisi. II. Türkiye Sulak Alanlar Kongresi. Bildiriler 22-24
  3. Haziran, Kırşehir, s. 79-85 Dickey D A & Fuller W A (1979) Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association 74: 427–431
  4. EKODIALOG(2014)Ekodialog.http://www.ekodialog. com/Turkiye_ekonomi/guney_dogu_anadolu.html (Erişim tarihi: 23.01.2014)
  5. Enders W (1995)
  6. Applied Econometric Time Series, John Wiley and Sons, UK FAO (2013) Database & Software CROPWAT 8. Natural Resources and Environment Department. http://www. fao.org (Erişim tarihi: 26.12.2013)
  7. Güngör Y, Erözel A Z & Yıldırım O (2012) Sulama. Ankara Üniversitesi Ziraat Fakültesi Yayınları: 1592, Ders Kitabı: 544, Ankara Koç A C & Güner Ü (2005) Mevcut sulama projelerinin FAO kriterleriyle yeniden değerlendirilmesi: Tavas Ovası örneği. Dumlupınar Üniversitesi Fen Bilimleri Enstitüsü Dergisi 9: 93-106 Nalbantis I & Tsakiris G (2009) Assessment of hydrological drought revisited: Water Resources Management 23(5): 881-897
  8. Stephens M A (1974) EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association 69: 730-737
  9. Şimşek O, Mermer A, Yıldız H, Özaydın K A & Çakmak B (2007) AgroMetShell modeli kullanılarak Türkiye’de buğdayın verim tahmini. Tarım Bilimleri Dergisi 13(3): 299-307
  10. Tabari H, Aeini A, Talaee H & Some’e S (2012) Spatial distribution and temporal variation of reference evapotranspiration in arid and semi-arid regions of Iran. Hydrological Processes 26: 500-512
  11. Tsakiris G, Nalbantis I, Pangalou D, Tigkas D & Vangelis H (2006) Drought meteorological monitoring network design for the Reconnaissance Drought Index (RDI): Options Mediterraneennes, Series A, 80: 57-62
  12. Ünlükara A, Yürekli K, Anlı A S & Örs İ (2010) Ankara ilinin aylık ve mevsimsel referans bitki su tüketimi değişiminin analizi. I.