Comparative analysis of SPI, SPEI, and RDI ındices for assessing spatio-temporal variation of drought in Türkiye

IF 2.7 4区 地球科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Earth Science Informatics Pub Date : 2024-07-08 DOI:10.1007/s12145-024-01401-8
Fatma Yaman Öz, Emre Özelkan, Hasan Tatlı
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Abstract

This research presents a comprehensive drought analysis using climate data obtained from 219 homogeneously distributed meteorological stations in Türkiye between 1991 and 2022. In this context, Standard Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI) and Reconnaissance Drought Index (RDI) drought indices were used and comparative analysis was made. Türkiye. The study demonstrates that below-normal precipitation over extended periods and increasing temperatures have contributed to the increased frequency of meteorological drought events. Türkiye's topographic conditions, particularly its location in the Mediterranean basin, significantly influence drought occurrences. It is noted that over the past 20 years, Türkiye has been trending towards drier conditions, with rising temperatures reinforcing this trend. The study observes that the moderate drought class range is the most frequently recurring in the SPI, SPEI, and RDI methods utilized. Regarding atmospheric conditions affecting the climate in Türkiye, it is observed that increased drought severity stands out prominently in years when the North Atlantic Oscillation is positive. During these years, increased drought severity is evident in the SPI, SPEI, and RDI indices, particularly in winter and autumn, while a wide area experiences drought effects in the summer months. Long-term analyses emphasize that drought periods occur less frequently but have more prolonged impacts, attributed to variations in precipitation patterns from year to year and the influence of rising temperatures due to global climate change. The potential future increase in drought in the Mediterranean basin due to global climate change and Türkiye's vulnerability to this situation could have adverse effects on water resources, food security, energy sources, and ecosystems.

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用于评估土耳其干旱时空变化的 SPI、SPEI 和 RDI 指数的比较分析
本研究利用 1991 年至 2022 年期间从土耳其 219 个均匀分布的气象站获得的气候数据,对干旱进行了综合分析。在此背景下,使用了标准降水指数 (SPI)、标准化降水蒸散指数 (SPEI) 和勘测干旱指数 (RDI) 等干旱指数,并进行了比较分析。土耳其。研究表明,降水量长期低于正常水平和气温升高导致气象干旱事件发生频率增加。图尔基耶的地形条件,尤其是其位于地中海盆地的地理位置,对干旱的发生有重大影响。研究指出,在过去 20 年里,土耳其一直趋于干旱,而气温的上升则加剧了这一趋势。研究发现,在所使用的 SPI、SPEI 和 RDI 方法中,中度干旱等级范围是最常出现的。关于影响图尔基耶气候的大气条件,研究发现,在北大西洋涛动呈正值的年份,干旱严重程度显著增加。在这些年份中,SPI、SPEI 和 RDI 指数中的干旱严重程度明显增加,尤其是在冬季和秋季,而在夏季则有大面积地区受到干旱影响。长期分析强调,干旱期发生频率较低,但影响持续时间较长,这归因于每年降水模式的变化以及全球气候变化导致气温升高的影响。由于全球气候变化,地中海盆地未来的干旱可能会加剧,而土尔其对这种情况的脆弱性可能会对水资源、粮食安全、能源和生态系统产生不利影响。
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来源期刊
Earth Science Informatics
Earth Science Informatics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
4.60
自引率
3.60%
发文量
157
审稿时长
4.3 months
期刊介绍: The Earth Science Informatics [ESIN] journal aims at rapid publication of high-quality, current, cutting-edge, and provocative scientific work in the area of Earth Science Informatics as it relates to Earth systems science and space science. This includes articles on the application of formal and computational methods, computational Earth science, spatial and temporal analyses, and all aspects of computer applications to the acquisition, storage, processing, interchange, and visualization of data and information about the materials, properties, processes, features, and phenomena that occur at all scales and locations in the Earth system’s five components (atmosphere, hydrosphere, geosphere, biosphere, cryosphere) and in space (see "About this journal" for more detail). The quarterly journal publishes research, methodology, and software articles, as well as editorials, comments, and book and software reviews. Review articles of relevant findings, topics, and methodologies are also considered.
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