INVESTIGATION OF PRECIPITATION DATA OF DİYARBAKIR PROVINCE WITH DIFFERENT TREND ANALYSIS METHODS DOI Open Access
Burak Gül

Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, Год журнала: 2025, Номер 28(1), С. 350 - 368

Опубликована: Март 3, 2025

Global climate change leads to significant alterations in systems, affecting natural resource management, agriculture, and water security. As these impacts are also felt at the local level, regional analyses crucial. This study analyzes precipitation data from Diyarbakır province between 1970 2022 examine effects of change. Trend were conducted using Mann-Kendall, Sen's Slope, Spearman’s Rho, Innovative Analysis (ITA) methods. The Mann-Kendall test assessed statistical significance trends, while Slope estimated magnitude trends. results indicated no statistically trends on an annual or seasonal basis. However, ITA method revealed decreasing summer totals, alongside increasing spring autumn precipitation. No detected for winter Rho identified a positive relationship total seasons, but observed among seasons themselves. highlights importance contributes preparedness future changes. Continuous monitoring plays critical role making informed strategic decisions, particularly management agricultural policies.

Язык: Английский

INVESTIGATION OF PRECIPITATION DATA OF DİYARBAKIR PROVINCE WITH DIFFERENT TREND ANALYSIS METHODS DOI Open Access
Burak Gül

Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, Год журнала: 2025, Номер 28(1), С. 350 - 368

Опубликована: Март 3, 2025

Global climate change leads to significant alterations in systems, affecting natural resource management, agriculture, and water security. As these impacts are also felt at the local level, regional analyses crucial. This study analyzes precipitation data from Diyarbakır province between 1970 2022 examine effects of change. Trend were conducted using Mann-Kendall, Sen's Slope, Spearman’s Rho, Innovative Analysis (ITA) methods. The Mann-Kendall test assessed statistical significance trends, while Slope estimated magnitude trends. results indicated no statistically trends on an annual or seasonal basis. However, ITA method revealed decreasing summer totals, alongside increasing spring autumn precipitation. No detected for winter Rho identified a positive relationship total seasons, but observed among seasons themselves. highlights importance contributes preparedness future changes. Continuous monitoring plays critical role making informed strategic decisions, particularly management agricultural policies.

Язык: Английский

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