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Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales

Yıl 2026, Cilt: 9 Sayı: 2, 989 - 1007, 15.03.2026
https://doi.org/10.34248/bsengineering.1895301
https://izlik.org/JA59BD56NA

Öz

Meteorological drought is frequently defined as an extended interval of sub-normal precipitation persisting over a duration of months to multiple years. Drought severity and duration is two important parameters to characterize droughts. In this study, the aim is to monitor the variability of meteorological drought characteristics for selected 3 stations in Mediterranean Region, Türkiye. Initially by taking the mean monthly temperature and monthly total precipitation data for 1950-2024 period from General Directorate of Meteorology of Türkiye, Standardized Precipitation index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) have been used to predict drought events at multiple time scales of 1-month and 3-month. For a comprehensive monitoring of meteorological drought, spatial distribution of drought categories has been analyzed using Inverse Distance Weighting (IDW). Secondly, drought characteristics which are severity and duration have been obtained by Theory of Runs. Possible trends in these characteristics have been examined by Mann-Kenndal Test (MKT), Spearman’s Rho (SRT), Wilcoxon Test (WT), Sen’s Slope Test (SST), Innovative Trend Analysis (ITA) and Combination of Wilcoxon Test and Scatter Diagram (CWTSD). Results have shown that many drought events have been observed that indicates many parts of the region were experienced with different drought. Among all categories Normal and Wet (combination of all wet categories) have been most prevalent in the selected stations. Among all determined severity and duration series, the highest drought severity and the longest drought duration have been observed as 58.044 and 49 months during 2019(4)- 2023(4) that have been obtained with SPEI-3 of 17300 station. Trend results by MKT, SRT and WT test considering α=0.01 significance level have put forth that a big part of the series of drought characteristics have been detected with increasing trends. Decreasing trends have been obtained with less amount. However, these trends have been significant only in 9 series out of 24. SST results have shown that there has been mostly increasing trends in severity, while all duration series have shown no trend. The results of ITA and NO-ITA have demonstrated that trends of the characteristics have been increasing in many times. Unlike the MKT, SRT and WT, no trend cases have been observed in a small amount of severity series. In severity series, MKT, SRT, WT, SST, ITA and NO-ITA techniques have a good agreement in 21 series out of 24, in terms of trend type. The findings of this study are expected to be beneficial for local authorities for effective drought action plans in order to keep life, water resources, environment and sustainability.

Etik Beyan

Ethics committee approval was not required for this study because of there was no study on animals or humans.

Teşekkür

The General Directorate of Meteorology (MGM) of Türkiye is to be acknowledged for providing meteorological data.

Kaynakça

  • Abu Arra, A., & Şişman, E. (2024). A comprehensive analysis and comparison of SPI and SPEI for spatiotemporal drought evaluation. Environmental Monitoring and Assessment, 196(10), 980. https://doi.org/10.1007/s10661-024-13127-7
  • Akbas, E., Acar, R., Eşit, M., & Koycegiz, C. (2026). An Investigation of the Variability of Short-Term Drought with SPEI-Based Severity, Duration and Magnitude Parameters in a Transboundary Basin. Pure and Applied Geophysics. https://doi.org/10.1007/s00024-025-03893-x
  • Akşan, G. N., & Bacanlı, Ü. G. (2021). Comparison of the meteorological drought indices according to the parameter(s) used in the Southeastern Anatolia Region, Turkey. Environmental Research and Technology, 4(3), Article 3. https://doi.org/10.35208/ert.912990
  • Aksoy, H., Cetin, M., Eris, E., Burgan, H. I., Cavus, Y., Yildirim, I., & Sivapalan, M. (2021). Critical drought intensity-duration-frequency curves based on total probability theorem-coupled frequency analysis. Hydrological Sciences Journal, 66(8), 1337–1358. https://doi.org/10.1080/02626667.2021.1934473
  • Aktürk, G., Çıtakoğlu, H., Demir, V., & Beden, N. (2024). Meteorological Drought Analysis and Regional Frequency Analysis in the Kızılırmak Basin: Creating a Framework for Sustainable Water Resources Management. Water, 16(15), 2124. https://doi.org/10.3390/w16152124
  • Akturk, G., Zeybekoglu, U., & Yildiz, O. (2022). Assessment of meteorological drought analysis in the Kizilirmak River Basin, Turkey. Arabian Journal of Geosciences, 15(9), 850. https://doi.org/10.1007/s12517-022-10119-0
  • Avsaroglu, Y., & Gumus, V. (2022). Assessment of hydrological drought return periods with bivariate copulas in the Tigris river basin, Turkey. Meteorology and Atmospheric Physics, 134(6), 95. https://doi.org/10.1007/s00703-022-00933-2
  • Bacanlı, Ü. G., & Akşan, G. N. (2019). Drought analysis in Mediterranean Region. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 25(6), 665–671.
  • Boustani, A., & Asli, U. (2020). Investigation of meteorological drought indices for environmental assessment of Yesilirmak region.
  • Byakatonda, J., Parida, B. P., Moalafhi, D. B., & Kenabatho, P. K. (2018). Analysis of long term drought severity characteristics and trends across semiarid Botswana using two drought indices. Atmospheric Research, 213, 492–508. https://doi.org/10.1016/j.atmosres.2018.07.002
  • Cavus, Y., & Aksoy, H. (2019). Spatial Drought Characterization for Seyhan River Basin in the Mediterranean Region of Turkey. Water, 11(7), 1331. https://doi.org/10.3390/w11071331
  • Deger, İ. H. (2026). Examining the best probability distributions of meteorological parameters based on annual scale. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, (1), 126–141. https://doi.org/10.17714/gumusfenbil.1795995
  • Deger, I. H., Yuce, M. I., & Esit, M. (2025a). Determination of univariate, bivariate and conditional return periods of hydrological droughts using two-dimensional multivariate functions. Stochastic Environmental Research and Risk Assessment, 39(11), 5169–5193. https://doi.org/10.1007/s00477-025-03076-z
  • Deger, I. H., Yuce, M. I., & Esit, M. (2025b). Spatio-Temporal Variability of Hydrological Drought and Trends: Implementation of Classical and Innovative Approaches. Water Resources Management. https://doi.org/10.1007/s11269-025-04229-z
  • Dikshit, A., Pradhan, B., & Huete, A. (2021). An improved SPEI drought forecasting approach using the long short-term memory neural network. Journal of Environmental Management, 283, 111979. https://doi.org/10.1016/j.jenvman.2021.111979
  • Dracup, J. A., Lee, K. S., & Paulson Jr, E. G. (1980). On the definition of droughts. Water Resources Research, 16(2), 297–302.
  • Eris, E., Cavus, Y., Aksoy, H., Burgan, H. I., Aksu, H., & Boyacioglu, H. (2020). Spatiotemporal analysis of meteorological drought over Kucuk Menderes River Basin in the Aegean Region of Turkey. Theoretical and Applied Climatology, 142(3), 1515–1530. https://doi.org/10.1007/s00704-020-03384-0
  • Esit, M., & Yuce, M. I. (2023). Copula-based bivariate drought severity and duration frequency analysis considering spatial–temporal variability in the Ceyhan Basin, Turkey. Theoretical and Applied Climatology, 151(3), 1113–1131. https://doi.org/10.1007/s00704-022-04317-9
  • Esit, M., Yuce, M. I., Deger, İ. H., & Yasa, I. (2024). Trend and variability analysis in rainfall and temperature records over Van Province, Türkiye. Theoretical and Applied Climatology, 155(1), 451–472. https://doi.org/10.1007/s00704-023-04644-5
  • Esit, M., Yuce, M. I., Yasa, I., & Deger, I. H. (2025a). Enhanced Drought Vulnerability in the Kızılırmak Basin: Understanding the Influence of Climate Models. Pure and Applied Geophysics, 182(9), 3813–3830. https://doi.org/10.1007/s00024-025-03788-x
  • Esit, M., Yuce, M. I., Yasa, I., & Deger, I. H. (2025b). Enhanced Drought Vulnerability in the Kızılırmak Basin: Understanding the Influence of Climate Models. Pure and Applied Geophysics. https://doi.org/10.1007/s00024-025-03788-x
  • Filipović, L., Putniković, S., Stosic, B., Stosic, T., Djurdjević, V., & Tošić, I. (2025). Analysis of Spatio-Temporal Characteristics of Drought in Serbia From 1961 to 2020 Using SPI and SPEI. International Journal of Climatology, 45(7), e8803. https://doi.org/10.1002/joc.8803
  • Fuentes, I., Padarian, J., & Vervoort, R. W. (2022). Spatial and Temporal Global Patterns of Drought Propagation. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.788248
  • Gond, S., Gupta, N., Patel, J., & Dikshit, P. K. S. (2023). Spatiotemporal evaluation of drought characteristics based on standard drought indices at various timescales over Uttar Pradesh, India. Environmental Monitoring and Assessment, 195(3), 439. https://doi.org/10.1007/s10661-023-10988-2
  • Güçlü, Y. S., Acar, R., & Saplıoğlu, K. (2025). Seasonally adjusted periodic time series for Mann-Kendall trend test. Physics and Chemistry of the Earth, Parts A/B/C, 138, 103848. https://doi.org/10.1016/j.pce.2024.103848
  • Gümüş, V. (2017). Akim Kuraklik İndeksİ İle Asİ Havzasinin Hİdrolojİk Kuraklik Analİzİ. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 5(1), 65–73.
  • Gumus, V. (2023). Evaluating the effect of the SPI and SPEI methods on drought monitoring over Turkey. Journal of Hydrology, 626, 130386. https://doi.org/10.1016/j.jhydrol.2023.130386
  • Gumus, V., Simsek, O., Avsaroglu, Y., & Agun, B. (2021). Spatio‐temporal trend analysis of drought in the GAP Region, Turkey. Natural Hazards, 109(2), 1759–1776. https://doi.org/10.1007/s11069-021-04897-1
  • Güner Bacanli, Ü. (2017). Trend analysis of precipitation and drought in the Aegean region, Turkey. Meteorological Applications, 24(2), 239–249. https://doi.org/10.1002/met.1622
  • Hadri, A., Ndiaye, A. S., Khadir, L., Jaffar, O., Zamzami, H. A., Mahdi El Khalki, E., Amazirh, A., Bouchaou, L., & Chehbouni, A. (2024). Spatio-temporal analysis of meteorological drought return periods in a Mediterranean arid region, the center of Morocco. Journal of Water and Climate Change, 15(9), 4573–4595. https://doi.org/10.2166/wcc.2024.192
  • Hallouz, F., Meddi, M., Ali Rahmani, S. E., & Abdi, I. (2024). Innovative versus traditional statistical methods in hydropluviometric: A detailed analysis of trends in the Wadi Mina Basin (Northwest of Algeria). Theoretical and Applied Climatology, 155(8), 8263–8286. https://doi.org/10.1007/s00704-024-05127-x
  • Ipek, A. F., Altas, A., Serencam, U., & Dabanli, I. (2025). Spatio-Temporal Drought Assessment by Using the Innovative Probability of Drought Severity (PDS) Method. Water Resources Management, 39(10), 5135–5150. https://doi.org/10.1007/s11269-025-04199-2
  • İslam, Y., & Turgay, P. (2025). Türkiye’s climate change: Rising temperatures and shifting rainfall patterns. Theoretical and Applied Climatology, 156(12), 685. https://doi.org/10.1007/s00704-025-05938-6
  • Jamalzi, A. R., Rahman, G., Akhtar, F., Ikram, Q. D., & Kwon, H.-H. (2025). Spatiotemporal assessment and trend analysis of meteorological drought in Afghanistan (1974–2023) using SPI and SPEI indices. Journal of Hydrology: Regional Studies, 61, 102711. https://doi.org/10.1016/j.ejrh.2025.102711
  • Kartal, V., & Nones, M. (2024). Assessment of meteorological, hydrological and groundwater drought in the Konya closed basin, Türkiye. Environmental Earth Sciences, 83(9), 285. https://doi.org/10.1007/s12665-024-11587-1
  • Kartal, V., Yavuz, V. S., Ariman, S., Kaya, K., Alkanjo, S., & Simsek, O. (2024). Climate change trends in the Southeastern Anatolia region of Türkiye: Precipitation and drought. Journal of Water and Climate Change, 15(12), 5893–5919. https://doi.org/10.2166/wcc.2024.503
  • Katipoğlu, O. M., & Acar, R. (2022). Space-time variations of hydrological drought severities and trends in the semi-arid Euphrates Basin, Turkey. Stochastic Environmental Research and Risk Assessment, 36(12), 4017–4040. https://doi.org/10.1007/s00477-022-02246-7
  • Kenabatho, P. K. (2025). Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management. Journal of Hydrology: Regional Studies, 58, 102217. https://doi.org/10.1016/j.ejrh.2025.102217
  • Kendall, M. (1975). Rank Correlation Methods; Griffin: London, UK.
  • Kesgin, E., Yaldız, S. G., & Güçlü, Y. S. (2024). Spatiotemporal variability and trends of droughts in the Mediterranean coastal region of Türkiye. International Journal of Climatology, 44(4), 1036–1057.
  • Kiliç, Z. (2026). Spatiotemporal Analysis of Drought and Soil Moisture Dynamics for Sustainable Water and Agricultural Management in the Southeastern Anatolia Project (GAP) Region, Türkiye. Sustainability, 18(2), 579. https://doi.org/10.3390/su18020579
  • Koycegiz, C., & Buyukyildiz, M. (2024). Analysis of seasonal rainfall variability with innovative graphical methods of Konya Closed Basin, Türkiye. Physics and Chemistry of the Earth, Parts A/B/C, 136, 103767. https://doi.org/10.1016/j.pce.2024.103767
  • Lange, M. A. (2020). Climate change in the Mediterranean: Environmental impacts and extreme events. IEMed Mediterranean Yearbook, 2020, 224–229.
  • Lionello, P., & Scarascia, L. (2018). The relation between climate change in the Mediterranean region and global warming. Regional Environmental Change, 18(5), 1481–1493. https://doi.org/10.1007/s10113-018-1290-1
  • Liu, Q., Yang, S., Li, S., Zhang, H., Zhang, J., & Fan, H. (2024). The optimal applications of scPDSI and SPEI in characterizing meteorological drought, agricultural drought and terrestrial water availability on a global scale. Science of The Total Environment, 952, 175933. https://doi.org/10.1016/j.scitotenv.2024.175933
  • Mann, H. B. (1945). Nonparametric Tests Against Trend. Econometrica, 13(3), 245–259. https://doi.org/10.2307/1907187
  • McKee, T. B., Doesken, N. J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology, 17(22), 179–183.
  • Mersin, D., Gulmez, A., Safari, M. J. S., Vaheddoost, B., & Tayfur, G. (2022). Drought Assessment in the Aegean Region of Turkey. Pure and Applied Geophysics, 179(8), 3035–3053. https://doi.org/10.1007/s00024-022-03089-7
  • Mirabbasi, R., Fakheri-Fard, A., & Dinpashoh, Y. (2012). Bivariate drought frequency analysis using the copula method. Theoretical and Applied Climatology, 108(1), 191–206. https://doi.org/10.1007/s00704-011-0524-7
  • Mishra, A. K., & Singh, V. P. (2010). A review of drought concepts. J Hydrol, 391. https://doi.org/10.1016/j.jhydrol.2010.07.012
  • Niemeyer, S. (2008). New drought indices. Options Méditerranéennes. Série A: Séminaires Méditerranéens, 80, 267–274.
  • Ogunrinde, A. T., Adigun, P., Xue, X., Koji, D., & Jing, Q. (2025). Spatiotemporal analysis of drought patterns and trends across Africa: A multi-scale SPEI approach (1960–2018). International Journal of Digital Earth, 18(1), 2447342. https://doi.org/10.1080/17538947.2024.2447342
  • Öllükçü, M. N., & Katipoğlu, O. M. (2025). Hydroclimatic drought trends and change point detection in the Yeşilirmak basin: A comprehensive evaluation using SPI, SPEI, DMI indices and ITA, SQMK, IPTA approaches. Theoretical and Applied Climatology, 156(5), 270. https://doi.org/10.1007/s00704-025-05502-2
  • Öz, F. Y., Özelkan, E., & Tatlı, H. (2024). Comparative analysis of SPI, SPEI, and RDI indices for assessing spatio-temporal variation of drought in Türkiye. Earth Science Informatics, 17(5), 4473–4505. https://doi.org/10.1007/s12145-024-01401-8
  • Rahman, M. A., Yunsheng, L., & Sultana, N. (2017). Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model. Meteorology and Atmospheric Physics, 129(4), 409–424. https://doi.org/10.1007/s00703-016-0479-4
  • Robleh, H. B., Yuce, M. I., Esit, M., & Deger, I. H. (2024). Meteorological drought monitoring in Kızılırmak Basin, Türkiye. Environmental Earth Sciences, 83(9), 265. https://doi.org/10.1007/s12665-024-11550-0
  • Sahu, R., Kumar, P., Gupta, R., & Ahirwar, S. (2025). Teleconnections and Long-term Precipitation Trends in the Alaknanda River Basin, Uttarakhand, India. Earth Systems and Environment. https://doi.org/10.1007/s41748-024-00536-4
  • Salimi, H., Asadi, E., & Darbandi, S. (2021). Meteorological and hydrological drought monitoring using several drought indices. Applied Water Science, 11(2), 11. https://doi.org/10.1007/s13201-020-01345-6
  • Saplıoğlu, K., & Güçlü, Y. S. (2022). Combination of Wilcoxon test and scatter diagram for trend analysis of hydrological data. Journal of Hydrology, 612, 128132. https://doi.org/10.1016/j.jhydrol.2022.128132
  • Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc, 63. https://doi.org/10.1080/01621459.1968.10480934
  • Şen, Z. (2012). Innovative Trend Analysis Methodology. Journal of Hydrologic Engineering, 17(9), 1042–1046. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556
  • Serkendiz, H., Tatli, H., Kılıç, A., Çetin, M., & Sungur, A. (2024). Analysis of drought intensity, frequency and trends using the spei in Turkey. Theoretical and Applied Climatology, 155(4), 2997–3012. https://doi.org/10.1007/s00704-023-04772-y
  • Shiau, J. T. (2006). Fitting drought duration and severity with two-dimensional copulas. Water Resources Management, 20, 795–815.
  • Simsek, O., Şenol, H. İ., & Keskiner, A. D. (2025). Examination of area-based trend and drought characteristics of drought classes in the context of climate change. Natural Hazards, 121(13), 15707–15732. https://doi.org/10.1007/s11069-025-07412-y
  • SÖNMEZ, F. KEMAL., KÖMÜSCÜ, A. Ü., ERKAN, A., & TURGU, E. (2005). An Analysis of Spatial and Temporal Dimension of Drought Vulnerability in Turkey Using the Standardized Precipitation Index. Natural Hazards, 35(2), 243–264. https://doi.org/10.1007/s11069-004-5704-7
  • Soylu Pekpostalci, D., Tur, R., & Danandeh Mehr, A. (2023). Spatiotemporal Variations in Meteorological Drought Across the Mediterranean Region of Turkey. Pure and Applied Geophysics, 180(8), 3089–3104. https://doi.org/10.1007/s00024-023-03312-z
  • Spearman, C. (1904). The Proof and Measurement of Association between Two Things. The American Journal of Psychology, 15(1), 72–101. https://doi.org/10.2307/1412159
  • Sunusi, N., & Auliana, N. H. (2025). Assessing SPI and SPEI for drought forecasting through the power law process: A case study in South Sulawesi, Indonesia. MethodsX, 14, 103235. https://doi.org/10.1016/j.mex.2025.103235
  • Swain, S., Mishra, S. K., Pandey, A., & Dayal, D. (2022). Assessment of drought trends and variabilities over the agriculture-dominated Marathwada Region, India. Environmental Monitoring and Assessment, 194(12), 883. https://doi.org/10.1007/s10661-022-10532-8
  • Terzi, T. B., & Üçüncü, O. (2025). Assessing meteorological droughts in the Çoruh River basin, Turkey: A probabilistic approach using SPI, SPEI, and copulas. Physics and Chemistry of the Earth, Parts A/B/C, 140, 104002. https://doi.org/10.1016/j.pce.2025.104002
  • Thornthwaite, C. W. (1948). An Approach toward a Rational Classification of Climate. Geographical Review, 38(1), 55–94. https://doi.org/10.2307/210739
  • Tirivarombo, S., Osupile, D., & Eliasson, P. (2018). Drought monitoring and analysis: Standardised Precipitation Evapotranspiration Index (SPEI) and Standardised Precipitation Index (SPI). Physics and Chemistry of the Earth, Parts A/B/C, 106, 1–10. https://doi.org/10.1016/j.pce.2018.07.001
  • Tuğrul, T., & Hinis, M. A. (2024). Trend analysis of hydrological and meteorological drought in Apa Dam, Türkiye. Environmental Earth Sciences, 83(17), 502. https://doi.org/10.1007/s12665-024-11791-z
  • Ullah, I., Ma, X., Yin, J., Omer, A., Habtemicheal, B. A., Saleem, F., Iyakaremye, V., Syed, S., Arshad, M., & Liu, M. (2023). Spatiotemporal characteristics of meteorological drought variability and trends (1981–2020) over South Asia and the associated large-scale circulation patterns. Climate Dynamics, 60(7), 2261–2284. https://doi.org/10.1007/s00382-022-06443-6
  • Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010). A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. https://doi.org/10.1175/2009JCLI2909.1
  • Vicente-Serrano, S. M., Peña-Angulo, D., Beguería, S., Domínguez-Castro, F., Tomás-Burguera, M., Noguera, I., Gimeno-Sotelo, L., & El Kenawy, A. (2022). Global drought trends and future projections. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2238), 20210285. https://doi.org/10.1098/rsta.2021.0285
  • Wilcoxon, F. (1945). Individual Comparisons by Ranking Methods. Biometrics Bulletin, 1(6), 80–83. https://doi.org/10.2307/3001968
  • Yaşa, İ., & Partal, T. (2024a). Drought trend and variability based wavelet transform in Euphrates-Tigris Basin, Türkiye. Atmospheric Research, 302, 107291. https://doi.org/10.1016/j.atmosres.2024.107291
  • Yaşa, İ., & Partal, T. (2024b). Trend Analysis of Drought Severity in Southeast Region of Türkiye. Journal of the Institute of Science and Technology, 14(2), 681–695. https://doi.org/10.21597/jist.1330260
  • Yevjevich, V. M. (1967). Objective approach to definitions and investigations of continental hydrologic droughts, An. Colorado State University. Libraries.
  • Yuce, M. I., & Esit, M. (2021). Drought monitoring in Ceyhan Basin, Turkey. Journal of Applied Water Engineering and Research, 9(4), 293–314. https://doi.org/10.1080/23249676.2021.1932616
  • Yuce, M. I., Deger, I. H., & Esit, M. (2023). Hydrological drought analysis of Yeşilırmak Basin of Turkey by streamflow drought index (SDI) and innovative trend analysis (ITA). Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-023-04545-7
  • Yuce, M., Aksoy, H., Aytek, A., Eşit, M., UĞUR, F., Yaşa, İ., Şimşek, A., & Deger, İ. (2022). SPI ve SPEI ile Samsun İli Kuraklık Analizi. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 25, 285–295. https://doi.org/10.17780/ksujes.1108663
  • Zarei, A. R. (2019). Analysis of changes trend in spatial and temporal pattern of drought over south of Iran using standardized precipitation index (SPI). SN Applied Sciences, 1(5), 465. https://doi.org/10.1007/s42452-019-0498-0
  • Zarei, A. R. (2025). Spatiotemporal evaluation and prediction of drought susceptibility. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-025-07047-w
  • Zhang, Y., Li, J., Feng, P., & Tian, J. (2025). Assessing the Spatio-Temporal Evolution Mechanisms from Meteorological to Hydrological Drought in a Heavily Human-Influenced River Basin. Water Resources Management, 39(4), 1873–1892. https://doi.org/10.1007/s11269-024-04049-7

Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales

Yıl 2026, Cilt: 9 Sayı: 2, 989 - 1007, 15.03.2026
https://doi.org/10.34248/bsengineering.1895301
https://izlik.org/JA59BD56NA

Öz

Meteorological drought is frequently defined as an extended interval of sub-normal precipitation persisting over a duration of months to multiple years. Drought severity and duration is two important parameters to characterize droughts. In this study, the aim is to monitor the variability of meteorological drought characteristics for selected 3 stations in Mediterranean Region, Türkiye. Initially by taking the mean monthly temperature and monthly total precipitation data for 1950-2024 period from General Directorate of Meteorology of Türkiye, Standardized Precipitation index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) have been used to predict drought events at multiple time scales of 1-month and 3-month. For a comprehensive monitoring of meteorological drought, spatial distribution of drought categories has been analyzed using Inverse Distance Weighting (IDW). Secondly, drought characteristics which are severity and duration have been obtained by Theory of Runs. Possible trends in these characteristics have been examined by Mann-Kenndal Test (MKT), Spearman’s Rho (SRT), Wilcoxon Test (WT), Sen’s Slope Test (SST), Innovative Trend Analysis (ITA) and Combination of Wilcoxon Test and Scatter Diagram (CWTSD). Results have shown that many drought events have been observed that indicates many parts of the region were experienced with different drought. Among all categories Normal and Wet (combination of all wet categories) have been most prevalent in the selected stations. Among all determined severity and duration series, the highest drought severity and the longest drought duration have been observed as 58.044 and 49 months during 2019(4)- 2023(4) that have been obtained with SPEI-3 of 17300 station. Trend results by MKT, SRT and WT test considering α=0.01 significance level have put forth that a big part of the series of drought characteristics have been detected with increasing trends. Decreasing trends have been obtained with less amount. However, these trends have been significant only in 9 series out of 24. SST results have shown that there has been mostly increasing trends in severity, while all duration series have shown no trend. The results of ITA and NO-ITA have demonstrated that trends of the characteristics have been increasing in many times. Unlike the MKT, SRT and WT, no trend cases have been observed in a small amount of severity series. In severity series, MKT, SRT, WT, SST, ITA and NO-ITA techniques have a good agreement in 21 series out of 24, in terms of trend type. The findings of this study are expected to be beneficial for local authorities for effective drought action plans in order to keep life, water resources, environment and sustainability.

Etik Beyan

Ethics committee approval was not required for this study because of there was no study on animals or humans.

Teşekkür

The General Directorate of Meteorology (MGM) of Türkiye is to be acknowledged for providing meteorological data.

Kaynakça

  • Abu Arra, A., & Şişman, E. (2024). A comprehensive analysis and comparison of SPI and SPEI for spatiotemporal drought evaluation. Environmental Monitoring and Assessment, 196(10), 980. https://doi.org/10.1007/s10661-024-13127-7
  • Akbas, E., Acar, R., Eşit, M., & Koycegiz, C. (2026). An Investigation of the Variability of Short-Term Drought with SPEI-Based Severity, Duration and Magnitude Parameters in a Transboundary Basin. Pure and Applied Geophysics. https://doi.org/10.1007/s00024-025-03893-x
  • Akşan, G. N., & Bacanlı, Ü. G. (2021). Comparison of the meteorological drought indices according to the parameter(s) used in the Southeastern Anatolia Region, Turkey. Environmental Research and Technology, 4(3), Article 3. https://doi.org/10.35208/ert.912990
  • Aksoy, H., Cetin, M., Eris, E., Burgan, H. I., Cavus, Y., Yildirim, I., & Sivapalan, M. (2021). Critical drought intensity-duration-frequency curves based on total probability theorem-coupled frequency analysis. Hydrological Sciences Journal, 66(8), 1337–1358. https://doi.org/10.1080/02626667.2021.1934473
  • Aktürk, G., Çıtakoğlu, H., Demir, V., & Beden, N. (2024). Meteorological Drought Analysis and Regional Frequency Analysis in the Kızılırmak Basin: Creating a Framework for Sustainable Water Resources Management. Water, 16(15), 2124. https://doi.org/10.3390/w16152124
  • Akturk, G., Zeybekoglu, U., & Yildiz, O. (2022). Assessment of meteorological drought analysis in the Kizilirmak River Basin, Turkey. Arabian Journal of Geosciences, 15(9), 850. https://doi.org/10.1007/s12517-022-10119-0
  • Avsaroglu, Y., & Gumus, V. (2022). Assessment of hydrological drought return periods with bivariate copulas in the Tigris river basin, Turkey. Meteorology and Atmospheric Physics, 134(6), 95. https://doi.org/10.1007/s00703-022-00933-2
  • Bacanlı, Ü. G., & Akşan, G. N. (2019). Drought analysis in Mediterranean Region. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 25(6), 665–671.
  • Boustani, A., & Asli, U. (2020). Investigation of meteorological drought indices for environmental assessment of Yesilirmak region.
  • Byakatonda, J., Parida, B. P., Moalafhi, D. B., & Kenabatho, P. K. (2018). Analysis of long term drought severity characteristics and trends across semiarid Botswana using two drought indices. Atmospheric Research, 213, 492–508. https://doi.org/10.1016/j.atmosres.2018.07.002
  • Cavus, Y., & Aksoy, H. (2019). Spatial Drought Characterization for Seyhan River Basin in the Mediterranean Region of Turkey. Water, 11(7), 1331. https://doi.org/10.3390/w11071331
  • Deger, İ. H. (2026). Examining the best probability distributions of meteorological parameters based on annual scale. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, (1), 126–141. https://doi.org/10.17714/gumusfenbil.1795995
  • Deger, I. H., Yuce, M. I., & Esit, M. (2025a). Determination of univariate, bivariate and conditional return periods of hydrological droughts using two-dimensional multivariate functions. Stochastic Environmental Research and Risk Assessment, 39(11), 5169–5193. https://doi.org/10.1007/s00477-025-03076-z
  • Deger, I. H., Yuce, M. I., & Esit, M. (2025b). Spatio-Temporal Variability of Hydrological Drought and Trends: Implementation of Classical and Innovative Approaches. Water Resources Management. https://doi.org/10.1007/s11269-025-04229-z
  • Dikshit, A., Pradhan, B., & Huete, A. (2021). An improved SPEI drought forecasting approach using the long short-term memory neural network. Journal of Environmental Management, 283, 111979. https://doi.org/10.1016/j.jenvman.2021.111979
  • Dracup, J. A., Lee, K. S., & Paulson Jr, E. G. (1980). On the definition of droughts. Water Resources Research, 16(2), 297–302.
  • Eris, E., Cavus, Y., Aksoy, H., Burgan, H. I., Aksu, H., & Boyacioglu, H. (2020). Spatiotemporal analysis of meteorological drought over Kucuk Menderes River Basin in the Aegean Region of Turkey. Theoretical and Applied Climatology, 142(3), 1515–1530. https://doi.org/10.1007/s00704-020-03384-0
  • Esit, M., & Yuce, M. I. (2023). Copula-based bivariate drought severity and duration frequency analysis considering spatial–temporal variability in the Ceyhan Basin, Turkey. Theoretical and Applied Climatology, 151(3), 1113–1131. https://doi.org/10.1007/s00704-022-04317-9
  • Esit, M., Yuce, M. I., Deger, İ. H., & Yasa, I. (2024). Trend and variability analysis in rainfall and temperature records over Van Province, Türkiye. Theoretical and Applied Climatology, 155(1), 451–472. https://doi.org/10.1007/s00704-023-04644-5
  • Esit, M., Yuce, M. I., Yasa, I., & Deger, I. H. (2025a). Enhanced Drought Vulnerability in the Kızılırmak Basin: Understanding the Influence of Climate Models. Pure and Applied Geophysics, 182(9), 3813–3830. https://doi.org/10.1007/s00024-025-03788-x
  • Esit, M., Yuce, M. I., Yasa, I., & Deger, I. H. (2025b). Enhanced Drought Vulnerability in the Kızılırmak Basin: Understanding the Influence of Climate Models. Pure and Applied Geophysics. https://doi.org/10.1007/s00024-025-03788-x
  • Filipović, L., Putniković, S., Stosic, B., Stosic, T., Djurdjević, V., & Tošić, I. (2025). Analysis of Spatio-Temporal Characteristics of Drought in Serbia From 1961 to 2020 Using SPI and SPEI. International Journal of Climatology, 45(7), e8803. https://doi.org/10.1002/joc.8803
  • Fuentes, I., Padarian, J., & Vervoort, R. W. (2022). Spatial and Temporal Global Patterns of Drought Propagation. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.788248
  • Gond, S., Gupta, N., Patel, J., & Dikshit, P. K. S. (2023). Spatiotemporal evaluation of drought characteristics based on standard drought indices at various timescales over Uttar Pradesh, India. Environmental Monitoring and Assessment, 195(3), 439. https://doi.org/10.1007/s10661-023-10988-2
  • Güçlü, Y. S., Acar, R., & Saplıoğlu, K. (2025). Seasonally adjusted periodic time series for Mann-Kendall trend test. Physics and Chemistry of the Earth, Parts A/B/C, 138, 103848. https://doi.org/10.1016/j.pce.2024.103848
  • Gümüş, V. (2017). Akim Kuraklik İndeksİ İle Asİ Havzasinin Hİdrolojİk Kuraklik Analİzİ. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 5(1), 65–73.
  • Gumus, V. (2023). Evaluating the effect of the SPI and SPEI methods on drought monitoring over Turkey. Journal of Hydrology, 626, 130386. https://doi.org/10.1016/j.jhydrol.2023.130386
  • Gumus, V., Simsek, O., Avsaroglu, Y., & Agun, B. (2021). Spatio‐temporal trend analysis of drought in the GAP Region, Turkey. Natural Hazards, 109(2), 1759–1776. https://doi.org/10.1007/s11069-021-04897-1
  • Güner Bacanli, Ü. (2017). Trend analysis of precipitation and drought in the Aegean region, Turkey. Meteorological Applications, 24(2), 239–249. https://doi.org/10.1002/met.1622
  • Hadri, A., Ndiaye, A. S., Khadir, L., Jaffar, O., Zamzami, H. A., Mahdi El Khalki, E., Amazirh, A., Bouchaou, L., & Chehbouni, A. (2024). Spatio-temporal analysis of meteorological drought return periods in a Mediterranean arid region, the center of Morocco. Journal of Water and Climate Change, 15(9), 4573–4595. https://doi.org/10.2166/wcc.2024.192
  • Hallouz, F., Meddi, M., Ali Rahmani, S. E., & Abdi, I. (2024). Innovative versus traditional statistical methods in hydropluviometric: A detailed analysis of trends in the Wadi Mina Basin (Northwest of Algeria). Theoretical and Applied Climatology, 155(8), 8263–8286. https://doi.org/10.1007/s00704-024-05127-x
  • Ipek, A. F., Altas, A., Serencam, U., & Dabanli, I. (2025). Spatio-Temporal Drought Assessment by Using the Innovative Probability of Drought Severity (PDS) Method. Water Resources Management, 39(10), 5135–5150. https://doi.org/10.1007/s11269-025-04199-2
  • İslam, Y., & Turgay, P. (2025). Türkiye’s climate change: Rising temperatures and shifting rainfall patterns. Theoretical and Applied Climatology, 156(12), 685. https://doi.org/10.1007/s00704-025-05938-6
  • Jamalzi, A. R., Rahman, G., Akhtar, F., Ikram, Q. D., & Kwon, H.-H. (2025). Spatiotemporal assessment and trend analysis of meteorological drought in Afghanistan (1974–2023) using SPI and SPEI indices. Journal of Hydrology: Regional Studies, 61, 102711. https://doi.org/10.1016/j.ejrh.2025.102711
  • Kartal, V., & Nones, M. (2024). Assessment of meteorological, hydrological and groundwater drought in the Konya closed basin, Türkiye. Environmental Earth Sciences, 83(9), 285. https://doi.org/10.1007/s12665-024-11587-1
  • Kartal, V., Yavuz, V. S., Ariman, S., Kaya, K., Alkanjo, S., & Simsek, O. (2024). Climate change trends in the Southeastern Anatolia region of Türkiye: Precipitation and drought. Journal of Water and Climate Change, 15(12), 5893–5919. https://doi.org/10.2166/wcc.2024.503
  • Katipoğlu, O. M., & Acar, R. (2022). Space-time variations of hydrological drought severities and trends in the semi-arid Euphrates Basin, Turkey. Stochastic Environmental Research and Risk Assessment, 36(12), 4017–4040. https://doi.org/10.1007/s00477-022-02246-7
  • Kenabatho, P. K. (2025). Innovative trend analysis of long-term spatial-temporal rainfall patterns over Botswana: Implications for water resources management. Journal of Hydrology: Regional Studies, 58, 102217. https://doi.org/10.1016/j.ejrh.2025.102217
  • Kendall, M. (1975). Rank Correlation Methods; Griffin: London, UK.
  • Kesgin, E., Yaldız, S. G., & Güçlü, Y. S. (2024). Spatiotemporal variability and trends of droughts in the Mediterranean coastal region of Türkiye. International Journal of Climatology, 44(4), 1036–1057.
  • Kiliç, Z. (2026). Spatiotemporal Analysis of Drought and Soil Moisture Dynamics for Sustainable Water and Agricultural Management in the Southeastern Anatolia Project (GAP) Region, Türkiye. Sustainability, 18(2), 579. https://doi.org/10.3390/su18020579
  • Koycegiz, C., & Buyukyildiz, M. (2024). Analysis of seasonal rainfall variability with innovative graphical methods of Konya Closed Basin, Türkiye. Physics and Chemistry of the Earth, Parts A/B/C, 136, 103767. https://doi.org/10.1016/j.pce.2024.103767
  • Lange, M. A. (2020). Climate change in the Mediterranean: Environmental impacts and extreme events. IEMed Mediterranean Yearbook, 2020, 224–229.
  • Lionello, P., & Scarascia, L. (2018). The relation between climate change in the Mediterranean region and global warming. Regional Environmental Change, 18(5), 1481–1493. https://doi.org/10.1007/s10113-018-1290-1
  • Liu, Q., Yang, S., Li, S., Zhang, H., Zhang, J., & Fan, H. (2024). The optimal applications of scPDSI and SPEI in characterizing meteorological drought, agricultural drought and terrestrial water availability on a global scale. Science of The Total Environment, 952, 175933. https://doi.org/10.1016/j.scitotenv.2024.175933
  • Mann, H. B. (1945). Nonparametric Tests Against Trend. Econometrica, 13(3), 245–259. https://doi.org/10.2307/1907187
  • McKee, T. B., Doesken, N. J., & Kleist, J. (1993). The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology, 17(22), 179–183.
  • Mersin, D., Gulmez, A., Safari, M. J. S., Vaheddoost, B., & Tayfur, G. (2022). Drought Assessment in the Aegean Region of Turkey. Pure and Applied Geophysics, 179(8), 3035–3053. https://doi.org/10.1007/s00024-022-03089-7
  • Mirabbasi, R., Fakheri-Fard, A., & Dinpashoh, Y. (2012). Bivariate drought frequency analysis using the copula method. Theoretical and Applied Climatology, 108(1), 191–206. https://doi.org/10.1007/s00704-011-0524-7
  • Mishra, A. K., & Singh, V. P. (2010). A review of drought concepts. J Hydrol, 391. https://doi.org/10.1016/j.jhydrol.2010.07.012
  • Niemeyer, S. (2008). New drought indices. Options Méditerranéennes. Série A: Séminaires Méditerranéens, 80, 267–274.
  • Ogunrinde, A. T., Adigun, P., Xue, X., Koji, D., & Jing, Q. (2025). Spatiotemporal analysis of drought patterns and trends across Africa: A multi-scale SPEI approach (1960–2018). International Journal of Digital Earth, 18(1), 2447342. https://doi.org/10.1080/17538947.2024.2447342
  • Öllükçü, M. N., & Katipoğlu, O. M. (2025). Hydroclimatic drought trends and change point detection in the Yeşilirmak basin: A comprehensive evaluation using SPI, SPEI, DMI indices and ITA, SQMK, IPTA approaches. Theoretical and Applied Climatology, 156(5), 270. https://doi.org/10.1007/s00704-025-05502-2
  • Öz, F. Y., Özelkan, E., & Tatlı, H. (2024). Comparative analysis of SPI, SPEI, and RDI indices for assessing spatio-temporal variation of drought in Türkiye. Earth Science Informatics, 17(5), 4473–4505. https://doi.org/10.1007/s12145-024-01401-8
  • Rahman, M. A., Yunsheng, L., & Sultana, N. (2017). Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model. Meteorology and Atmospheric Physics, 129(4), 409–424. https://doi.org/10.1007/s00703-016-0479-4
  • Robleh, H. B., Yuce, M. I., Esit, M., & Deger, I. H. (2024). Meteorological drought monitoring in Kızılırmak Basin, Türkiye. Environmental Earth Sciences, 83(9), 265. https://doi.org/10.1007/s12665-024-11550-0
  • Sahu, R., Kumar, P., Gupta, R., & Ahirwar, S. (2025). Teleconnections and Long-term Precipitation Trends in the Alaknanda River Basin, Uttarakhand, India. Earth Systems and Environment. https://doi.org/10.1007/s41748-024-00536-4
  • Salimi, H., Asadi, E., & Darbandi, S. (2021). Meteorological and hydrological drought monitoring using several drought indices. Applied Water Science, 11(2), 11. https://doi.org/10.1007/s13201-020-01345-6
  • Saplıoğlu, K., & Güçlü, Y. S. (2022). Combination of Wilcoxon test and scatter diagram for trend analysis of hydrological data. Journal of Hydrology, 612, 128132. https://doi.org/10.1016/j.jhydrol.2022.128132
  • Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc, 63. https://doi.org/10.1080/01621459.1968.10480934
  • Şen, Z. (2012). Innovative Trend Analysis Methodology. Journal of Hydrologic Engineering, 17(9), 1042–1046. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556
  • Serkendiz, H., Tatli, H., Kılıç, A., Çetin, M., & Sungur, A. (2024). Analysis of drought intensity, frequency and trends using the spei in Turkey. Theoretical and Applied Climatology, 155(4), 2997–3012. https://doi.org/10.1007/s00704-023-04772-y
  • Shiau, J. T. (2006). Fitting drought duration and severity with two-dimensional copulas. Water Resources Management, 20, 795–815.
  • Simsek, O., Şenol, H. İ., & Keskiner, A. D. (2025). Examination of area-based trend and drought characteristics of drought classes in the context of climate change. Natural Hazards, 121(13), 15707–15732. https://doi.org/10.1007/s11069-025-07412-y
  • SÖNMEZ, F. KEMAL., KÖMÜSCÜ, A. Ü., ERKAN, A., & TURGU, E. (2005). An Analysis of Spatial and Temporal Dimension of Drought Vulnerability in Turkey Using the Standardized Precipitation Index. Natural Hazards, 35(2), 243–264. https://doi.org/10.1007/s11069-004-5704-7
  • Soylu Pekpostalci, D., Tur, R., & Danandeh Mehr, A. (2023). Spatiotemporal Variations in Meteorological Drought Across the Mediterranean Region of Turkey. Pure and Applied Geophysics, 180(8), 3089–3104. https://doi.org/10.1007/s00024-023-03312-z
  • Spearman, C. (1904). The Proof and Measurement of Association between Two Things. The American Journal of Psychology, 15(1), 72–101. https://doi.org/10.2307/1412159
  • Sunusi, N., & Auliana, N. H. (2025). Assessing SPI and SPEI for drought forecasting through the power law process: A case study in South Sulawesi, Indonesia. MethodsX, 14, 103235. https://doi.org/10.1016/j.mex.2025.103235
  • Swain, S., Mishra, S. K., Pandey, A., & Dayal, D. (2022). Assessment of drought trends and variabilities over the agriculture-dominated Marathwada Region, India. Environmental Monitoring and Assessment, 194(12), 883. https://doi.org/10.1007/s10661-022-10532-8
  • Terzi, T. B., & Üçüncü, O. (2025). Assessing meteorological droughts in the Çoruh River basin, Turkey: A probabilistic approach using SPI, SPEI, and copulas. Physics and Chemistry of the Earth, Parts A/B/C, 140, 104002. https://doi.org/10.1016/j.pce.2025.104002
  • Thornthwaite, C. W. (1948). An Approach toward a Rational Classification of Climate. Geographical Review, 38(1), 55–94. https://doi.org/10.2307/210739
  • Tirivarombo, S., Osupile, D., & Eliasson, P. (2018). Drought monitoring and analysis: Standardised Precipitation Evapotranspiration Index (SPEI) and Standardised Precipitation Index (SPI). Physics and Chemistry of the Earth, Parts A/B/C, 106, 1–10. https://doi.org/10.1016/j.pce.2018.07.001
  • Tuğrul, T., & Hinis, M. A. (2024). Trend analysis of hydrological and meteorological drought in Apa Dam, Türkiye. Environmental Earth Sciences, 83(17), 502. https://doi.org/10.1007/s12665-024-11791-z
  • Ullah, I., Ma, X., Yin, J., Omer, A., Habtemicheal, B. A., Saleem, F., Iyakaremye, V., Syed, S., Arshad, M., & Liu, M. (2023). Spatiotemporal characteristics of meteorological drought variability and trends (1981–2020) over South Asia and the associated large-scale circulation patterns. Climate Dynamics, 60(7), 2261–2284. https://doi.org/10.1007/s00382-022-06443-6
  • Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010). A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. https://doi.org/10.1175/2009JCLI2909.1
  • Vicente-Serrano, S. M., Peña-Angulo, D., Beguería, S., Domínguez-Castro, F., Tomás-Burguera, M., Noguera, I., Gimeno-Sotelo, L., & El Kenawy, A. (2022). Global drought trends and future projections. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 380(2238), 20210285. https://doi.org/10.1098/rsta.2021.0285
  • Wilcoxon, F. (1945). Individual Comparisons by Ranking Methods. Biometrics Bulletin, 1(6), 80–83. https://doi.org/10.2307/3001968
  • Yaşa, İ., & Partal, T. (2024a). Drought trend and variability based wavelet transform in Euphrates-Tigris Basin, Türkiye. Atmospheric Research, 302, 107291. https://doi.org/10.1016/j.atmosres.2024.107291
  • Yaşa, İ., & Partal, T. (2024b). Trend Analysis of Drought Severity in Southeast Region of Türkiye. Journal of the Institute of Science and Technology, 14(2), 681–695. https://doi.org/10.21597/jist.1330260
  • Yevjevich, V. M. (1967). Objective approach to definitions and investigations of continental hydrologic droughts, An. Colorado State University. Libraries.
  • Yuce, M. I., & Esit, M. (2021). Drought monitoring in Ceyhan Basin, Turkey. Journal of Applied Water Engineering and Research, 9(4), 293–314. https://doi.org/10.1080/23249676.2021.1932616
  • Yuce, M. I., Deger, I. H., & Esit, M. (2023). Hydrological drought analysis of Yeşilırmak Basin of Turkey by streamflow drought index (SDI) and innovative trend analysis (ITA). Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-023-04545-7
  • Yuce, M., Aksoy, H., Aytek, A., Eşit, M., UĞUR, F., Yaşa, İ., Şimşek, A., & Deger, İ. (2022). SPI ve SPEI ile Samsun İli Kuraklık Analizi. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 25, 285–295. https://doi.org/10.17780/ksujes.1108663
  • Zarei, A. R. (2019). Analysis of changes trend in spatial and temporal pattern of drought over south of Iran using standardized precipitation index (SPI). SN Applied Sciences, 1(5), 465. https://doi.org/10.1007/s42452-019-0498-0
  • Zarei, A. R. (2025). Spatiotemporal evaluation and prediction of drought susceptibility. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-025-07047-w
  • Zhang, Y., Li, J., Feng, P., & Tian, J. (2025). Assessing the Spatio-Temporal Evolution Mechanisms from Meteorological to Hydrological Drought in a Heavily Human-Influenced River Basin. Water Resources Management, 39(4), 1873–1892. https://doi.org/10.1007/s11269-024-04049-7
Toplam 86 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Su Kaynakları Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

İbrahim Halil Deger 0000-0001-6360-3923

Gönderilme Tarihi 22 Şubat 2026
Kabul Tarihi 15 Mart 2026
Yayımlanma Tarihi 15 Mart 2026
DOI https://doi.org/10.34248/bsengineering.1895301
IZ https://izlik.org/JA59BD56NA
Yayımlandığı Sayı Yıl 2026 Cilt: 9 Sayı: 2

Kaynak Göster

APA Deger, İ. H. (2026). Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales. Black Sea Journal of Engineering and Science, 9(2), 989-1007. https://doi.org/10.34248/bsengineering.1895301
AMA 1.Deger İH. Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales. BSJ Eng. Sci. 2026;9(2):989-1007. doi:10.34248/bsengineering.1895301
Chicago Deger, İbrahim Halil. 2026. “Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales”. Black Sea Journal of Engineering and Science 9 (2): 989-1007. https://doi.org/10.34248/bsengineering.1895301.
EndNote Deger İH (01 Mart 2026) Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales. Black Sea Journal of Engineering and Science 9 2 989–1007.
IEEE [1]İ. H. Deger, “Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales”, BSJ Eng. Sci., c. 9, sy 2, ss. 989–1007, Mar. 2026, doi: 10.34248/bsengineering.1895301.
ISNAD Deger, İbrahim Halil. “Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales”. Black Sea Journal of Engineering and Science 9/2 (01 Mart 2026): 989-1007. https://doi.org/10.34248/bsengineering.1895301.
JAMA 1.Deger İH. Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales. BSJ Eng. Sci. 2026;9:989–1007.
MLA Deger, İbrahim Halil. “Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales”. Black Sea Journal of Engineering and Science, c. 9, sy 2, Mart 2026, ss. 989-1007, doi:10.34248/bsengineering.1895301.
Vancouver 1.İbrahim Halil Deger. Monitoring the Variability of Meteorological Drought Characteristics at Multiple Time Scales. BSJ Eng. Sci. 01 Mart 2026;9(2):989-1007. doi:10.34248/bsengineering.1895301

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