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Makale detayı · 2025 · article

The Statistical Methods for Precipitation Prediction with Trend Analysis

Dergi Fırat Üniversitesi Mühendislik Bilimleri Dergisi
ISSN1308-9072
YÖKSİS OpenAlex Açık erişim · diamond TR Index
Yıl2025
Atıf0OpenAlex
Yüzdelik%2,6
FWCI0,01,00 = dünya ortalaması

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıFırat Üniversitesi Mühendislik Bilimleri Dergisi
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

This study investigates the condensation of water vapor in the atmosphere, precipitating to the ground in either solid or liquid form. This meteorological variable exhibits temporal and spatial variations influenced by climate change and other factors. To better analyze the effects of climate change on precipitation, the Konya Closed Basin was selected as the research area. Key parameters and datasets critical for various sectors and activities—from hydraulic structure design to irrigation planning—were identified. Seasonal and annual precipitation trend analyses were conducted for the provinces of Aksaray, Ankara, Isparta, Mersin, and Nevşehir using statistical methods, including the Mann-Kendall test, Spearman’s Rho, and the Innovative Şen Test, with the aid of XLSTAT software. The results revealed negative precipitation trends in Aksaray, Ankara, and Nevşehir, while positive trends were observed in Isparta and Mersin. Additionally, complementary data were collected from the Muş Meteorology Provincial Directorate to support the findings.

Konular

Atıflar

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Yazarlar

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  1. FATİH ŞEVGİN MUŞ ALPARSLAN ÜNİVERSİTESİ 1