Analysis of temperature and precipitation series of Hirfanli Dam Basin by Mann Kendall, Spearman’s Rho and Innovative Trend Analysis

Author:

GÜNDÜZ Fatma1ORCID,ZEYBEKOĞLU Utku2ORCID

Affiliation:

1. SINOP UNIVERSITY

2. SİNOP ÜNİVERSİTESİ

Abstract

In this study long-term trend analysis of precipitation and temperature series are determined in the Hirfanli dam basin of Turkey. Data is obtained from the Turkish State Meteorological Service for the period of 1968 to 2017 for Gemerek, Kayseri, Kirsehir, Nevsehir, Sivas and Zara. Mann-Kendall, Spearman's Rho and Innovative Trend Analysis are used for trend analysis with 95% confidence levels. According to the results of the temperature series upward trend were determined. The results of all methods are similar but increasing significant trends were determined by Mann Kendall and Spearman's Rho except Zara. According to the precipitation series results, with decreasing trends in Gemerek, Kirsehir, Nevsehir and Zara, increasing trends were determined in Kayseri and Sivas. The results of Mann Kendall and Spearman's Rho methods show parallelism with each other. Contrary to other methods, Innovative Trend Analysis determined a decreasing trend in Kayseri. As a result of the analysis, the trends in the precipitation series are not significant at the 95% confidence level. In addition to statistical analyzes, evaluations were made in terms of integrated disaster management for drought disaster in the basin with arid climate characteristics.

Publisher

Turkish Journal of Engineering

Subject

General Medicine

Reference63 articles.

1. Zeybekoğlu, U., Partal, T., (2018), Sinop iline ait aylık ve yıllık yağış yükseklikleri ile standart süreli yağış şiddetlerinin farklı trend analizi yöntemleriyle değerlendirilmesi. İklim Değişikliği ve Çevre, 3, (1) 1–8

2. Partal, T., & Kahya, E. (2006). Trend analysis in Turkish precipitation data. Hydrological Processes, 20(9), 2011-2026. https://doi.org/10.1002/hyp.5993

3. Türkeş, M. (1996). Spatial and temporal analysis of annual rainfall variations in Turkey. International Journal of Climatology, 16(9), 1057-1076. https://doi.org/10.1002/(SICI)1097-0088(199609)16:9<1057::AID-JOC75>3.0.CO;2-D

4. Singh, S., & Kumara, S. (2021). Non-Parametric Trend Analysis in South-East Regions of Uttarakhand, India. International Journal of Earth Sciences Knowledge and Applications, 3(3), 301-304.

5. Jayasekara, S. M., Aeysingha, N. S., & Meegastenna, T. J. (2020). Streamflow trends of Kelani River basin in Sri Lanka (1983-2013). Journal of the National Science Foundation of Sri Lanka, 48(4), 449–462. http://dx.doi.org/10.4038/jnsfsr.v48i4.9440

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3