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Application of Thornthwaite moisture index to some areas in Türkiye

Yıl 2025, Cilt: 42 Sayı: 3, 237 - 249, 30.12.2025
https://doi.org/10.55507/gopzfd.1708188
https://izlik.org/JA26AP78GT

Öz

The source of water, the basic need of all living things in nature, is rainfall. When the same amount of rainfall is insufficient or does not fall globally, some regions experience drought problems. In some areas, floods occur due to excessive rainfall. Apart from the normal process of drought and flood, human interventions such as global warming also play an active role in the occurrence of both natural disasters. In order to track drought, several moisture indices have been developed in the literature. Moisture conditions and the extent of a water deficit in a particular area are usually ascertained using moisture indices, characterizing the equilibrium between water inflows and outflows. In this study, Thornthwaite moisture index (TMI) was used to evaluate moisture deficit. The study was conducted in the provinces of Tokat, Kayseri, Ankara, Konya, Karaman, Afyon, Denizli and Burdur. The first effort for this purpose was made according to the Innovative Polygon Trend Analysis (IPTA) of seasonal variation of rainfall and potential evapotranspiration (PET) values. Regular polygons were not obtained at any station in both data sets. Although precipitation data showed a general decreasing trend in all stations during the summer months except June, PET values had the opposite pattern. The monthly TMI index for all stations showed that there was a moisture deficit from April (except for the Afyon station) to October. A striking finding in the annual TMI results was that negative values were detected at all stations. These findings will contribute to relevant decision makers in water-related planning and awareness studies.

Etik Beyan

There is no need to obtain permission from the ethics committee for this study.

Kaynakça

  • Abdulla, H.J. (2008). Evaluation of moisture deficit index in dry land in Iraq. Middle East Journal of Scientific Research, 3(3): 116–119.
  • Acar, R. (2024). A comparison of the performance of different innovative trend assessment approaches for air temperature and precipitation data: an application to Elazığ Province (Turkey). Journal of Water and Climate Change, 15(3), 1417-1437.
  • Agnew, C. (1993). World Atlas of Desertification: United Nations Environment Programme, London: Edward Arnold. Ahmad, H., Zafar, S. A., Naeem, M. K., Shokat, S., Inam, S., Rehman, M. A. U., ... & Khan, M. R. (2022). Impact of pre-anthesis drought stress on physiology, yield-related traits, and drought-responsive genes in green super rice. Frontiers in Genetics, 13, 832542.
  • Allen, R.G., Pereira, L.S., Raes, D., & Smith, M. (1998). Crop Evapotranspiration. Guidelines for Computing Crop Water Requirements, FAO, Rome, Italy (FAO Irrigation and Drainage Paper, No, 56, 300 p).
  • AFAD. (2020). https://www.afad.gov.tr/afadem/dogal-afetler (23.04.2020)
  • Boers, N., Goswami, B., Rheinwalt, A., Bookhagen, B., Hoskins, B., & Kurths, J. (2019). Complex networks reveal global pattern of extreme-rainfall teleconnections. Nature, 566(7744), 373-377.
  • Cao, Y., Chen, S., Wang, L., Zhu, B., Lu, T., & Yu, Y. (2019). An agricultural drought index for assessing droughts using a water balance method: A case study in Jilin Province, Northeast China. Remote Sensing, 11(9), 1066.
  • Cengiz, T. M. (2024). Orta Karadeniz Bölgesi Yağış Değişimlerinin İstatistiksel ve Grafiksel Yaklaşımlarla Analizi. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 7(5), 2263-2283.
  • Ceribasi, G., & Ceyhunlu, A. I. (2021). Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method. Journal of Water and Climate Change, 12(5), 1532-1543.
  • Di Nunno, F., De Matteo, M., Izzo, G., & Granata, F. (2023). A combined clustering and trends analysis approach for characterizing reference evapotranspiration in veneto. Sustainability, 15(14), 11091.
  • Erdogan Karaagacli, M., Yurekli, K., Comert, M. M., & Menevse, N. (2025). Statistically scrutinizing impact of climate variability on forest fire incidents in Turkey. Natural Hazards, 121(9), 10323-10353.
  • Esit, M. (2023). Investigation of innovative trend approaches (ITA with significance test and IPTA) comparing to the classical trend method of monthly and annual hydrometeorological variables: a case study of Ankara region, Turkey. Journal of Water and Climate Change, 14(1), 305-329.
  • 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.
  • Feddema, J.J. (1994). Evaluation of terrestrial climate variability using a moisture index, University of Delaware. Grundstein, A. (2009). Evaluation of climate change over the continental United States using a moisture index. Climate Change, 93, 103–115. https://doi.org/10.1007/s10584-008-9480-3
  • Guofeng, Z., Dahe, Q., Huali, T., Yuanfeng, L., Jiafang, L., Dongdong, C., Kai, W., & Pengfei, H. (2016). Variation of Thornthwaite moisture index in Hengduan Mountains, China. Chinese Geographical Science, 26(5): 687–702. https://doi.org/10.1007/s11769-016-0820-3
  • Hırca, T., Eryılmaz Türkkan, G., & Niazkar, M. (2022). Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey. Theoretical and Applied Climatology, 147(1), 651-667.
  • Jewell, SA., & Mitchell, PW. (2009). The Thornthwaite moisture index and seasonal soil movement in Adelaide. Australian Geomechanics, 44(1), 59.
  • Kapluhan, E. (2013). Drought and Drought in Turkey Effect of Agriculture, Marmara Coğrafya Dergisi, Sayı: 27, 487-510.
  • Katipoğlu, O. M. (2023). Revealing the trend and change point in Hargreaves equation based on potential evapotranspiration values with various statistical approaches. Environmental Science and Pollution Research, 30(27), 70604-70620.
  • Keim, B. 2(010). The lasting scientific impact of the Thornthwaite water-balance model. Geographical Review, 100(3): 295–300. https://doi.org/10.1111/j.1931-0846.2010.00035.x
  • Kisi, O. (2015). An innovative method for trend analysis of monthly pan evaporations. Journal of Hydrology, 527, 1123-1129.
  • Körük, A. E., Kankal, M., Yıldız, M. B., Akçay, F., Şan, M., & Nacar, S. (2023). Trend analysis of precipitation using innovative approaches in northwestern Turkey. Physics and Chemistry of the Earth, Parts A/B/C, 131, 103416.
  • Koycegiz, C., & Buyukyildiz, M. (2024). Applications of innovative polygon trend analysis (IPTA) and trend polygon star concept (TPSC) methods for the variability of precipitation in Konya Closed Basin (Turkey). Theoretical and Applied Climatology, 155(4), 2641-2656.
  • Mather, J.R. (1978). The climatic water budget in environmental analysis. Lexington Books, Lexington, MA. McCabe, J.G.J., & Wolock, DM. (1992). Effects of climatic change and climatic variability on the Thornthwaite moisture index in the Delaware River Basin. Climate Change, 20(2): 143–153. doi: 10,1007/BF00154172
  • Mishra, B. K., Kumar, P., Saraswat, C., Chakraborty, S., & Gautam, A. (2021). Water security in a changing environment: Concept, challenges and solutions. Water, 13(4), 490.
  • Sadeghi, AR., Kamgar-Haghighi, AA., Sepaskahah, AR., Khalili, D., & Zand-Parsa, S. (2002). Regional classification for dryland agriculture in southern Iran. Journal of Arid Environments 50, 333–341. https://doi.org/10.1006/jare.2001.0822
  • Salehi, M. (2022). Global water shortage and potable water safety; Today’s concern and tomorrow’s crisis. Environment International, 158, 106
  • Şen, Z., Şişman, E., & Dabanli, I. (2019). Innovative polygon trend analysis (IPTA) and applications. Journal of Hydrology, 575, 202-210.
  • Tabari, H., & Talaee, PH. (2013). Moisture index for Iran: Spatial and temporal analyses. Global and Planetary Change, Sayı:100, 11–19. https://doi.org/10.1016/j.gloplacha.2012.08.010
  • Thornthwaite, CW. (1948). An approach toward a rational classification of climate. Geographical Review, 55–94. https://doi.org/10.2307/210739 Thornthwaite, CW., & Mather, JR. (1955). The Water Balance, Publications in Climatology, VIII(1): 1-104, Drexel Institute Of Climatology, Centerton, New Jersey.
  • Wang, X., & Liu, L. (2023). The impacts of climate change on the hydrological cycle and water resource management. Water, 15(13), 2342.
  • Willmott, CJ., & Feddema, JJ. (1992). A more rational climatic moisture index. The Professional Geographer, 44(1): 84–88. https://doi.org/10.1111/j.0033-0124.1992.00084.x
  • Yong, S. L. S., Ng, J. L., Huang, Y. F., & Ang, C. K. (2022, May). Innovative trend analysis of reference crop evapotranspiration in peninsular Malaysia. In IOP Conference Series: Earth and Environmental Science (Vol. 1022, No. 1, p. 012071). IOP Publishing.

Türkiye'deki bazı alanlara Thornthwaite nem indeksinin uygulanması

Yıl 2025, Cilt: 42 Sayı: 3, 237 - 249, 30.12.2025
https://doi.org/10.55507/gopzfd.1708188
https://izlik.org/JA26AP78GT

Öz

Doğadaki tüm canlıların temel ihtiyacı olan suyun kaynağı yağıştır. Küresel olarak aynı miktarda yağış yeterli olmadığında veya düşmediğinde bazı bölgelerde kuraklık sorunları yaşanmaktadır. Bazı bölgelerde aşırı yağış nedeniyle seller meydana gelmektedir. Kuraklık ve sel gibi normal süreçlerin dışında, küresel ısınma gibi insan müdahaleleri de her iki doğal afetin meydana gelmesinde etkin rol oynamaktadır. Kuraklığı takip etmek için literatürde çeşitli nem endeksleri geliştirilmiştir. Belirli bir bölgedeki nem koşulları ve su açığının boyutu genellikle su girişleri ve çıkışları arasındaki dengeyi karakterize eden nem endeksleri kullanılarak belirlenmektedir. Bu çalışmada nem açığını değerlendirmek için Thornthwaite nem endeksi (TMI) kullanılmıştır. Çalışma Tokat, Kayseri, Ankara, Konya, Karaman, Afyon, Denizli ve Burdur illerinde yürütülmüştür. Bu amaçla yapılan çalışmada ilk olarak, yağış ve PET değerlerinin aylık değişimi Yenilikçi Poligon Trend Analizi (IPTA)'ne göre yapılmıştır. Her iki veri setinde de hiçbir istasyonda düzenli poligonlar elde edilmemiştir. Yağış verileri yaz aylarında Haziran hariç tüm istasyonlarda genel bir azalan eğilim gösterse de potansiyel evapotraspirasyon (PET) değerleri tam tersi bir desene sahiptir. Tüm istasyonlar için aylık TMI sonuçları Nisan ayından (Afyon istasyonu hariç) Ekim ayına kadar bir nem açığı olduğunu göstermektedir. Yıllık TMI sonuçlarında tüm istasyonlarda negatif değerlerin tespit edilmesi ise dikkat çekici bir bulgudur. Bu bulgular su ile ilgili planlama ve farkındalık çalışmalarında ilgili karar vericilere katkı sağlayacaktır.

Kaynakça

  • Abdulla, H.J. (2008). Evaluation of moisture deficit index in dry land in Iraq. Middle East Journal of Scientific Research, 3(3): 116–119.
  • Acar, R. (2024). A comparison of the performance of different innovative trend assessment approaches for air temperature and precipitation data: an application to Elazığ Province (Turkey). Journal of Water and Climate Change, 15(3), 1417-1437.
  • Agnew, C. (1993). World Atlas of Desertification: United Nations Environment Programme, London: Edward Arnold. Ahmad, H., Zafar, S. A., Naeem, M. K., Shokat, S., Inam, S., Rehman, M. A. U., ... & Khan, M. R. (2022). Impact of pre-anthesis drought stress on physiology, yield-related traits, and drought-responsive genes in green super rice. Frontiers in Genetics, 13, 832542.
  • Allen, R.G., Pereira, L.S., Raes, D., & Smith, M. (1998). Crop Evapotranspiration. Guidelines for Computing Crop Water Requirements, FAO, Rome, Italy (FAO Irrigation and Drainage Paper, No, 56, 300 p).
  • AFAD. (2020). https://www.afad.gov.tr/afadem/dogal-afetler (23.04.2020)
  • Boers, N., Goswami, B., Rheinwalt, A., Bookhagen, B., Hoskins, B., & Kurths, J. (2019). Complex networks reveal global pattern of extreme-rainfall teleconnections. Nature, 566(7744), 373-377.
  • Cao, Y., Chen, S., Wang, L., Zhu, B., Lu, T., & Yu, Y. (2019). An agricultural drought index for assessing droughts using a water balance method: A case study in Jilin Province, Northeast China. Remote Sensing, 11(9), 1066.
  • Cengiz, T. M. (2024). Orta Karadeniz Bölgesi Yağış Değişimlerinin İstatistiksel ve Grafiksel Yaklaşımlarla Analizi. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 7(5), 2263-2283.
  • Ceribasi, G., & Ceyhunlu, A. I. (2021). Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method. Journal of Water and Climate Change, 12(5), 1532-1543.
  • Di Nunno, F., De Matteo, M., Izzo, G., & Granata, F. (2023). A combined clustering and trends analysis approach for characterizing reference evapotranspiration in veneto. Sustainability, 15(14), 11091.
  • Erdogan Karaagacli, M., Yurekli, K., Comert, M. M., & Menevse, N. (2025). Statistically scrutinizing impact of climate variability on forest fire incidents in Turkey. Natural Hazards, 121(9), 10323-10353.
  • Esit, M. (2023). Investigation of innovative trend approaches (ITA with significance test and IPTA) comparing to the classical trend method of monthly and annual hydrometeorological variables: a case study of Ankara region, Turkey. Journal of Water and Climate Change, 14(1), 305-329.
  • 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.
  • Feddema, J.J. (1994). Evaluation of terrestrial climate variability using a moisture index, University of Delaware. Grundstein, A. (2009). Evaluation of climate change over the continental United States using a moisture index. Climate Change, 93, 103–115. https://doi.org/10.1007/s10584-008-9480-3
  • Guofeng, Z., Dahe, Q., Huali, T., Yuanfeng, L., Jiafang, L., Dongdong, C., Kai, W., & Pengfei, H. (2016). Variation of Thornthwaite moisture index in Hengduan Mountains, China. Chinese Geographical Science, 26(5): 687–702. https://doi.org/10.1007/s11769-016-0820-3
  • Hırca, T., Eryılmaz Türkkan, G., & Niazkar, M. (2022). Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey. Theoretical and Applied Climatology, 147(1), 651-667.
  • Jewell, SA., & Mitchell, PW. (2009). The Thornthwaite moisture index and seasonal soil movement in Adelaide. Australian Geomechanics, 44(1), 59.
  • Kapluhan, E. (2013). Drought and Drought in Turkey Effect of Agriculture, Marmara Coğrafya Dergisi, Sayı: 27, 487-510.
  • Katipoğlu, O. M. (2023). Revealing the trend and change point in Hargreaves equation based on potential evapotranspiration values with various statistical approaches. Environmental Science and Pollution Research, 30(27), 70604-70620.
  • Keim, B. 2(010). The lasting scientific impact of the Thornthwaite water-balance model. Geographical Review, 100(3): 295–300. https://doi.org/10.1111/j.1931-0846.2010.00035.x
  • Kisi, O. (2015). An innovative method for trend analysis of monthly pan evaporations. Journal of Hydrology, 527, 1123-1129.
  • Körük, A. E., Kankal, M., Yıldız, M. B., Akçay, F., Şan, M., & Nacar, S. (2023). Trend analysis of precipitation using innovative approaches in northwestern Turkey. Physics and Chemistry of the Earth, Parts A/B/C, 131, 103416.
  • Koycegiz, C., & Buyukyildiz, M. (2024). Applications of innovative polygon trend analysis (IPTA) and trend polygon star concept (TPSC) methods for the variability of precipitation in Konya Closed Basin (Turkey). Theoretical and Applied Climatology, 155(4), 2641-2656.
  • Mather, J.R. (1978). The climatic water budget in environmental analysis. Lexington Books, Lexington, MA. McCabe, J.G.J., & Wolock, DM. (1992). Effects of climatic change and climatic variability on the Thornthwaite moisture index in the Delaware River Basin. Climate Change, 20(2): 143–153. doi: 10,1007/BF00154172
  • Mishra, B. K., Kumar, P., Saraswat, C., Chakraborty, S., & Gautam, A. (2021). Water security in a changing environment: Concept, challenges and solutions. Water, 13(4), 490.
  • Sadeghi, AR., Kamgar-Haghighi, AA., Sepaskahah, AR., Khalili, D., & Zand-Parsa, S. (2002). Regional classification for dryland agriculture in southern Iran. Journal of Arid Environments 50, 333–341. https://doi.org/10.1006/jare.2001.0822
  • Salehi, M. (2022). Global water shortage and potable water safety; Today’s concern and tomorrow’s crisis. Environment International, 158, 106
  • Şen, Z., Şişman, E., & Dabanli, I. (2019). Innovative polygon trend analysis (IPTA) and applications. Journal of Hydrology, 575, 202-210.
  • Tabari, H., & Talaee, PH. (2013). Moisture index for Iran: Spatial and temporal analyses. Global and Planetary Change, Sayı:100, 11–19. https://doi.org/10.1016/j.gloplacha.2012.08.010
  • Thornthwaite, CW. (1948). An approach toward a rational classification of climate. Geographical Review, 55–94. https://doi.org/10.2307/210739 Thornthwaite, CW., & Mather, JR. (1955). The Water Balance, Publications in Climatology, VIII(1): 1-104, Drexel Institute Of Climatology, Centerton, New Jersey.
  • Wang, X., & Liu, L. (2023). The impacts of climate change on the hydrological cycle and water resource management. Water, 15(13), 2342.
  • Willmott, CJ., & Feddema, JJ. (1992). A more rational climatic moisture index. The Professional Geographer, 44(1): 84–88. https://doi.org/10.1111/j.0033-0124.1992.00084.x
  • Yong, S. L. S., Ng, J. L., Huang, Y. F., & Ang, C. K. (2022, May). Innovative trend analysis of reference crop evapotranspiration in peninsular Malaysia. In IOP Conference Series: Earth and Environmental Science (Vol. 1022, No. 1, p. 012071). IOP Publishing.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Biyosistem, Tarımsal Hidroloji
Bölüm Araştırma Makalesi
Yazarlar

Müberra Erdoğan Karaağaçlı 0000-0003-3794-4032

Mehmet Murat Cömert 0000-0002-0264-3611

Kadri Yürekli 0000-0003-4938-663X

Gönderilme Tarihi 28 Mayıs 2025
Kabul Tarihi 15 Ağustos 2025
Yayımlanma Tarihi 30 Aralık 2025
DOI https://doi.org/10.55507/gopzfd.1708188
IZ https://izlik.org/JA26AP78GT
Yayımlandığı Sayı Yıl 2025 Cilt: 42 Sayı: 3

Kaynak Göster

APA Erdoğan Karaağaçlı, M., Cömert, M. M., & Yürekli, K. (2025). Application of Thornthwaite moisture index to some areas in Türkiye. Journal of Agricultural Faculty of Gaziosmanpaşa University, 42(3), 237-249. https://doi.org/10.55507/gopzfd.1708188