Research Article

INVESTIGATION OF PRECIPITATION DATA OF DİYARBAKIR PROVINCE WITH DIFFERENT TREND ANALYSIS METHODS

Volume: 28 Number: 1 March 3, 2025
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INVESTIGATION OF PRECIPITATION DATA OF DİYARBAKIR PROVINCE WITH DIFFERENT TREND ANALYSIS METHODS

Abstract

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

Keywords

References

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Details

Primary Language

English

Subjects

Water Resources Engineering , Water Resources and Water Structures

Journal Section

Research Article

Publication Date

March 3, 2025

Submission Date

October 14, 2024

Acceptance Date

January 17, 2025

Published in Issue

Year 2025 Volume: 28 Number: 1

APA
Gül, B. (2025). INVESTIGATION OF PRECIPITATION DATA OF DİYARBAKIR PROVINCE WITH DIFFERENT TREND ANALYSIS METHODS. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(1), 350-368. https://doi.org/10.17780/ksujes.1567174