Journals / İTÜ Dergisi Seri D: Mühendislik / 2003 / Cilt: 2 - Sayı: 2

Meteorological drought modelling and application to Turkey

Meteorolojik kuraklık modellemesi ve Türkiye uygulaması

Pages
95–103
Publication Date
2022-11-05
DOI
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AI Summary & Key Takeaways

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

In real-time drought monitoring across Turkey, minimum and maximum of these drought descriptors should be mapped in order to identify areal drought stricken and wet areas so as to transfer water from wet to dry regions.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Droughts are among the most significant natural hazards that might damage human life and property under different meteorological and environmental conditions.
📊
Key Findings & Data:On the basis of SPI, a drought event is defined for each time scale as a period in which the SPI is continuously negative and the SPI reaches a value of -1.0 or less.
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Conclusion & Impact:In real-time drought monitoring across Turkey, minimum and maximum of these drought descriptors should be mapped in order to identify areal drought stricken and wet areas so as to transfer water from wet to dry regions.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Droughts are among the most significant natural hazards that might damage human life and property under different meteorological and environmental conditions. Droughts are precipitation deficit related phenomena and their continuation for extended periods that leads to water shortages which results in, agricultural food deterioration concerning both quantity and quality aspects, social disruptions in addition to economically undesirable consequences. The simplest methodology of temporal drought assessment is the standardized precipitation index (SPI) which is used to quantify the precipitation deficit for several time scales, i.e. time averaging periods. On the basis of SPI, a drought event is defined for each time scale as a period in which the SPI is continuously negative and the SPI reaches a value of -1.0 or less. The Standardized precipitation time series is commonly used the run analysis for the identification of various drought characteristics such as the duration, magnitude, and intensity at different standard truncation levels. The relationships between the drought duration and magnitude are provided in the form of scatter diagrams with the best straight-line fits. These are obtained for different truncation levels. In real-time drought monitoring across Turkey, minimum and maximum of these drought descriptors should be mapped in order to identify areal drought stricken and wet areas so as to transfer water from wet to dry regions.

Özet

Kuraklık diğer doğal afetler arasında canlı yaşamı ve ekonomisi için en büyük etkiye sahip, farklı meteorolojik ve çevresel şartlar altında gelişen en önemli afettir. Zamansal kuraklık değerlendirmesinin basit yöntemi ortalama zaman periyotlarında birçok zaman ölçeği için yağış kayıplarının miktarını belirlemede kullanılan standart yağış indisi (SYİ) 'dir. Standart yağış zaman serisinden gidilerek kuraklık genliği, süre ve şiddet değerleri farklı kesim seviyeleri için elde edilmiştir. Kuraklık süresi ve genliği arasındaki ikili ilişki saçılma grafiklerine en uygun doğrunun geçirilmesi ile sağlanmıştır. Türkiye için işletmeye dayalı kuraklık izlemesi, minimum ve maksimum kuraklık büyüklükleri alansal kuraklığın yayılımım tanımlamak için haritalama yapılmıştır.

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Cite This Article

SIRDAŞ, S., ŞEN, Z. (2022). Meteorological drought modelling and application to Turkey. İTÜ Dergisi Seri D: Mühendislik, Cilt: 2 - Sayı: 2, 95–103. https://ajindex.com/articles/652183

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