Abstract
The investigation of variability in hydrometeorological variables is crucial for water resources management and planning. In this study, trends in monthly streamflow were investigated using a novel wavelet-based Innovative Polygon Trend Analysis (W-IPTA) approach in the Konya Closed Basin, Turkey, which has semi-arid and changing climate conditions. Initially, homogeneity tests were applied to the streamflow data of thirteen discharge gauging stations, and eight of them were found homogeneous. Then, IPTA was performed, and mostly decreasing trends in mean streamflow were detected, particularly in the southern part of the basin. Increasing trends were generally observed in the standard deviation of streamflow data and the transitional period between winter and spring months in mean values in the western part of the basin. The W-IPTA indicated that decreasing trends were in short-term periods in the southern part of the basin while increasing trends were in the western part of the basin. In addition, decreasing trends were determined in the long-term period in most stations in the basin. The relationship between atmospheric teleconnections (i.e., North Atlantic Oscillation (NAO), Arctic Oscillation (AO), and North Sea Caspian Pattern (NCP)) and streamflow data was investigated using Spearman’s rank correlation and wavelet coherence analysis. A significant negative relationship between the NAO, AO, NCP, and streamflow was determined, especially in the winter months. Accordingly, it was found that the atmospheric teleconnections could be influential on the trends in the streamflow regime as well as anthropogenic and geographical factors in the basin.
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Data are available from the Turkish General Directorate of State Hydraulic Works.
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References
Abdelkader M, Yerdelen C (2022) Hydrological drought variability and its teleconnections with climate indices. J Hydrol 605:127290. https://doi.org/10.1016/j.jhydrol.2021.127290
Achite M, Ceribasi G, Ceyhunlu AI, Wałęga A, Caloiero T (2021) The Innovative Polygon Trend Analysis (IPTA) as a simple qualitative method to detect changes in environment—example detecting trends of the total monthly precipitation in semiarid area. Sustain 13(22):12674. https://doi.org/10.3390/su132212674
Ahmed N, Wang G, Booij MJ, Ceribasi G, Bhat MS, Ceyhunlu AI, Ahmed A (2022) Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis. Stoch Env Res Risk Assess 36(3):811–830. https://doi.org/10.1007/s00477-021-02067-0
Akçay F, Kankal M, Şan M (2022) Innovative approaches to the trend assessment of streamflows in the eastern Black Sea basin. Turkey Hydrol Sci J 67(2):222–247. https://doi.org/10.1080/02626667.2021.1998509
Alexandersson H (1986) A homogeneity test applied to precipitation data. J Climatol 6(6):661–675. https://doi.org/10.1002/joc.3370060607
Ali R, Kuriqi A, Abubaker S, Kisi O (2019) Long-term trends and seasonality detection of the observed flow in Yangtze River using Mann-Kendall and Sen’s innovative trend method. Water 11(9):1855. https://doi.org/10.3390/w11091855
Atta-ur-Rahman DM (2017) Spatio-statistical analysis of temperature fluctuation using Mann-Kendall and Sen’s slope approach. Clim Dyn 48(3):783–797. https://doi.org/10.1007/s00382-016-3110-y
Ay M (2022) Trend of minimum monthly precipitation for the East Anatolia region in Turkey. Theor Appl Climatol 148(1):603–615. https://doi.org/10.1007/s00704-022-03947-3
Buishand TA (1982) Some methods for testing the homogeneity of rainfall records. J Hydrol 58(1):11–27. https://doi.org/10.1016/0022-1694(82)90066-X
Buldur AD, Sarı S (2012) Çarşamba Çayı’nın 15 Aralık 2010 Tarihli Taşkını ve Bozkır’daki (Konya) Etkisi. Marmara Coğrafya Dergisi 25:81–107
Caloiero T, Coscarelli R, Ferrari E (2018) Application of the innovative trend analysis method for the trend analysis of rainfall anomalies in southern Italy. Water Resour Manag 32(15):4971–4983. https://doi.org/10.1007/s11269-018-2117-z
Caloiero T (2020) Evaluation of rainfall trends in the South Island of New Zealand through the innovative trend analysis (ITA). Theor Appl Climatol 139(1):493–504. https://doi.org/10.1007/s00704-019-02988-5
Chen Y, Guan Y, Shao G, Zhang D (2016) Investigating trends in streamflow and precipitation in Huangfuchuan Basin with wavelet analysis and the Mann-Kendall test. Water 8(3):77. https://doi.org/10.3390/w8030077
Cheng Q, Zhong F, Wang P (2021) Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China). Sci Total Environ 772:145013. https://doi.org/10.1016/j.scitotenv.2021.145013
Cornish CR, Bretherton CS, Percival DB (2006) Maximal overlap wavelet statistical analysis with application to atmospheric turbulence. Bound-Layer Meteorol 119:339–374. https://doi.org/10.1007/s10546-005-9011-y
Çeribasi G, Ceyhunlu AI (2021) Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method. J of Water and Clim Change 12(5):1532–1543. https://doi.org/10.2166/wcc.2020.253
Da Silva RM, Santos CA, Moreira M, Corte-Real J, Silva VC, Medeiros IC (2015) Rainfall and river flow trends using Mann-Kendall and Sen’s slope estimator statistical tests in the Cobres River basin. Nat Hazards 77(2):1205–1221. https://doi.org/10.1007/s11069-015-1644-7
Dabanlı İ, Şen Z, Yeleğen MÖ, Şişman E, Selek B, Güçlü YS (2016) Trend assessment by the innovative-Şen method. Water Resour Manag 30(14):5193–5203. https://doi.org/10.1007/s11269-016-1478-4
Daubechies I (1990) The wavelet transform, time-frequency localization and signal analysis. IEEE Trans on Inf Theor 36(5):961–1005. https://doi.org/10.1109/18.57199
Demir V (2022) Trend analysis of lakes and sinkholes in the Konya Closed Basin, in Turkey. Nat Hazards 112:2873–2912. https://doi.org/10.1007/s11069-022-05327-6
Fathian F, Dehghan Z, Bazrkar MH, Eslamian S (2016) Trends in hydrological and climatic variables affected by four variations of the Mann-Kendall approach in Urmia Lake basin. Iran Hydrol Sci J 61(5):892–904. https://doi.org/10.1080/02626667.2014.932911
Gouhier TC, Grinsted A, Simko V (2021) R package biwavelet: conduct univariate and bivariate wavelet analyses. (Version 0.20.21). https://github.com/tgouhier/biwavelet. Accessed 03 July 2022
Göktürk OM (2005) North Sea Caspian pattern and ıts ınfluence on the hydrometeorological parameters over Turkey. Dissertation, Istanbul Technical University
Güçlü YS (2018) Multiple Şen-innovative trend analyses and partial Mann-Kendall test. J Hydrol 566:685–704. https://doi.org/10.1016/j.jhydrol.2018.09.034
Heidinger H, Yarlequé C, Posadas A, Quiroz R (2012) TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis. Int J Rem Sens 33(14):4583–4602. https://doi.org/10.1080/01431161.2011.652315
Hırca T, Eryılmaz Türkkan G, Niazkar M (2022) Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin. Turkey Theor Appl Climatol 147(1):651–667. https://doi.org/10.1007/s00704-021-03837-0
Huo X, Lei L, Liu Z, Hao Y, Hu BX, Zhan H (2016) Application of wavelet coherence method to investigate Karst spring discharge response to climate teleconnection patterns. J Amer Water Resour Assoc 52(6):1281–1296. https://doi.org/10.1111/1752-1688.12452
Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (2003) The North Atlantic Oscillation: climatic significance and environmental impact. Am Geophys Union 134. https://doi.org/10.1029/GM134
Kalayci S, Kahya E (2006) Assessment of streamflow variability modes in Turkey: 1964–1994. J Hydrol 324(1–4):163–177. https://doi.org/10.1016/j.jhydrol.2005.10.002
Karabörk MÇ, Kahya E, Karaca M (2005) The influences of the Southern and North Atlantic Oscillations on climatic surface variables in Turkey. Hydrol Processes 19(6):1185–1211. https://doi.org/10.1002/hyp.5560
Köyceğiz C, Büyükyıldız M (2019) Temporal trend analysis of extreme precipitation: a case study of Konya Closed Basin. Pamukkale Üni Müh Bil Der 25(8):956–961. https://doi.org/10.5505/pajes.2019.86658
Köyceğiz C, Büyükyıldız M (2020) Determination of change point and trend analysis of annual temperature data in Konya Closed Basin (Turkey). Niğde Ömer Halisdemir Üni Müh Bil Der 9(1):393–404. https://doi.org/10.28948/ngumuh.598289
Kutiel H, Benaroch Y (2002) North Sea-Caspian Pattern (NCP)–an upper level atmospheric teleconnection affecting the Eastern Mediterranean: identification and definition. Theor Appl Climatol 71(1):17–28. https://doi.org/10.1007/s704-002-8205-x
Kutiel H (2010) A review on the impact of the North Sea-Caspian Pattern (NCP) on temperature and precipitation regimes in the Middle East. Survival and Sustainability. Springer, Berlin, Heidelberg, pp 1301–1312. https://doi.org/10.1007/978-3-540-95991-5_122
Liu Y, Guan L, Hou C, Han H, Liu Z, Sun Y, Zheng M (2019) Wind power short-term prediction based on LSTM and discrete wavelet transform. Appl Sci 9(6):1108. https://doi.org/10.3390/app9061108
Mallat SG (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pat Analys Mac Intel 11(7):674–693. https://doi.org/10.1109/34.192463
Mallick J, Talukdar S, Alsubih M, Salam R, Ahmed M, Kahla NB, Shamimuzzaman M (2021) Analysing the trend of rainfall in Asir region of Saudi Arabia using the family of Mann-Kendall tests, innovative trend analysis, and detrended fluctuation analysis. Theor Appl Climatol 143(1):823–841. https://doi.org/10.1007/s00704-020-03448-1
Nalley D, Adamowski J, Khalil B (2012) Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008). J Hydrol 475:204–228. https://doi.org/10.1016/j.jhydrol.2012.09.049
Nalley D, Adamowski J, Khalil B, Biswas A (2016) Inter-annual to inter-decadal streamflow variability in Quebec and Ontario in relation to dominant large-scale climate indices. J Hydrol 536:426–446. https://doi.org/10.1016/j.jhydrol.2016.02.049
National Oceanic and Atmospheric Administration Climate Prediction Center (NOAA CPC) 2022a (a) North Atlantic Oscillation (NAO) Index. http://www.cpc.ncep.noaa.gov/products/precip/CWlink/pna/norm.nao.monthly.b5001.current.ascii.table Accessed 15 March 2022a
National Oceanic and Atmospheric Administration Climate Prediction Center (NOAA CPC) 2022b(b) Arctic Oscillation (AO) Index. https://www.cpc.ncep.noaa.gov/products/precip/CWlink/daily_ao_index/monthly.ao.index.b50.current.ascii.table. Accessed 15 March 2022b
Nourani V, Baghanam AH, Adamovski J, Kisi O (2014) Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review. J Hydrol 514(6):358–377. https://doi.org/10.1016/j.jhydrol.2014.03.057
Nourani V, Nezamdoost N, Samadi M, Daneshvar Vousoughi F (2015) Wavelet-based trend analysis of hydrological processes at different timescales. J of Water and Clim Change 6(3):414–435. https://doi.org/10.2166/wcc.2015.043
Nourani V, Ghasemzade M, Mehr AD, Sharghi E (2019) Investigating the effect of hydroclimatological variables on Urmia Lake water level using wavelet coherence measure. J of Water and Clim Change 10(1):13–29. https://doi.org/10.2166/wcc.2018.261
Öztopal A, Şen Z (2017) Innovative trend methodology applications to precipitation records in Turkey. Water Resour Manag 31(3):727–737. https://doi.org/10.1007/s11269-016-1343-5
Pandey BK, Tiwari H, Khare D (2017) Trend analysis using discrete wavelet transform (DWT) for long-term precipitation (1851–2006) over India. Hydrol Sci J 62(13):2187–2208. https://doi.org/10.1080/02626667.2017.1371849
Pettitt A (1979) A non-parametric approach to the change-point detection. Appl Statis 28:126–135. https://doi.org/10.2307/2346729
Phinyomark A, Nuidod A, Phukpattaranont P, Limsakul C (2012) Feature extraction and reduction of wavelet transform coefficients for EMG pattern classification. Elek Ir Elektrotechnika 122(6):27–32. https://doi.org/10.5755/j01.eee.122.6.1816
Republic of Turkey Ministry Of Agriculture and Forestry General Directorate Of Water Management (2020) Flood Management Plans. https://www.tarimorman.gov.tr/SYGM/Sayfalar/Detay.aspx?SayfaId=53. Accessed 10 March 2022
Roushangar K, Alizadeh F (2019) Scenario-based prediction of short-term river stage–discharge process using wavelet-EEMD-based relevance vector machine. J Hydro 21(1):56–76. https://doi.org/10.2166/hydro.2018.023
Sang YF (2012) A practical guide to discrete wavelet decomposition of hydrologic time series. Water Resour Manag 26(11):3345–3365. https://doi.org/10.1007/s11269-012-0075-4
Sang YF (2013) A review on the applications of wavelet transform in hydrology time series analysis. Atmosph Res 122:8–15. https://doi.org/10.1016/j.atmosres.2012.11.003
Sarış F, Gedik F (2021) Konya Kapalı Havzası’nda Meteorolojik Kuraklık Analizi. Coğr Der 42:295–308
Sezen C, Partal T (2019) The impacts of Arctic oscillation and the North Sea Caspian pattern on the temperature and precipitation regime in Turkey. Meteorol Atmosp Phys 131(6):1677–1696. https://doi.org/10.1007/s00703-019-00665-w
Sezen C, Partal T (2020) Wavelet combined innovative trend analysis for precipitation data in the Euphrates-Tigris basin. Turkey Hydrol Sci J 65(11):1909–1927. https://doi.org/10.1080/02626667.2020.1784422
Sharma A, Goyal MK (2020) Assessment of drought trend and variability in India using wavelet transform. Hydrol Sci J 65(9):1539–1554. https://doi.org/10.1080/02626667.2020.1754422
Shi X, Huang Q, Li K (2021) Decomposition-based teleconnection between monthly streamflow and global climatic oscillation. J Hydrol 602:126651. https://doi.org/10.1016/j.jhydrol.2021.126651
Şan M, Akçay F, Linh NTT, Kankal M, Pham QB (2021) Innovative and polygonal trend analyses applications for rainfall data in Vietnam. Theor Appl Climatol 144(3):809–822. https://doi.org/10.1007/s00704-021-03574-4
Şen Z (2012) Innovative trend analysis methodology. J Hydrol Eng 17(9):1042–1046. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556
Şen Z, Şişman E, Dabanli I (2019) Innovative polygon trend analysis (IPTA) and applications. J Hydrol 575:202–210. https://doi.org/10.1016/j.jhydrol.2019.05.028
Tan C, Huang B, Liu K, Chen H, Liu F, Qiu J, Yang J (2017) Using the wavelet transform to detect temporal variations in hydrological processes in the Pearl River, China. Quat Int 440:52–63. https://doi.org/10.1016/j.quaint.2016.02.043
Taş İ, Yıldırım YE (2021) HadGEM2 Küresel İklim Modeli Tahminine Dayalı Konya Kapalı Havzası İçin Olası Tarımsal Kurak Dönemleri. Toprak Su Dergisi Special issuei, pp 56–66. https://doi.org/10.21657/topraksu.806184
Thompson DW, Wallace JM (1998) The Arctic Oscillation signature in the wintertime geopotential height and temperature fields. Geophy Res Let 25(9):1297–1300. https://doi.org/10.1029/98GL00950
Topuz M, Feidas H, Karabulut M (2020) Trend analysis of precipitation data in Turkey and relations to atmospheric circulation:(1955–2013). Ital J Agrometeorol 2:91–107. https://doi.org/10.13128/ijam-887
Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bul Amer Meteorol Soc 79(1):61–78. https://doi.org/10.1175/1520-0477(1998)079%3c0061:APGTWA%3e2.0.CO;2
Torrence C, Webster PJ (1999) Interdecadal changes in the ENSO–monsoon system. J Clim 12(8):2679–2690. https://doi.org/10.1175/1520-0442(1999)012%3c2679:ICITEM%3e2.0.CO;2
Türkeş M, Erlat E (2003) Precipitation changes and variability in Turkey linked to the North Atlantic Oscillation during the period 1930–2000. Int J Climatol 23(14):1771–1796. https://doi.org/10.1002/joc.962
Türkeş M, Erlat E (2008) Influence of the Arctic Oscillation on the variability of winter mean temperatures in Turkey. Theor Appl Climatol 92(1):75–85. https://doi.org/10.1007/s00704-007-0310-8
Türkeş M, Erlat E (2009) Winter mean temperature variability in Turkey associated with the North Atlantic Oscillation. Meteorol Atmosp Phys 105(3–4):211–225. https://doi.org/10.1007/s00703-009-0046-3
Uvo CB, Foster K, Olsson J (2021) The spatio-temporal influence of atmospheric teleconnection patterns on hydrology in Sweden. J Hydrol: Regional Studies 34:100782. https://doi.org/10.1016/j.ejrh.2021.100782
Vazifehkhah S, Kahya E (2018) Hydrological drought associations with extreme phases of the North Atlantic and Arctic Oscillations over Turkey and northern Iran. Int J Climatol 38(12):4459–4475. https://doi.org/10.1002/joc.5680
Vazifehkhah S, Kahya E (2019) Hydrological and agricultural droughts assessment in a semi-arid basin: Inspecting the teleconnections of climate indices on a catchment scale. Agr Water Manag 217:413–425. https://doi.org/10.1016/j.agwat.2019.02.034
Von Neumann J (1941) Distribution of the ratio of the mean square successive difference to the variance. Annal Math Stat 12(4):367–395. https://www.jstor.org/stable/2235951. Accessed 27 June 2022
Wijngaard J, Klein TA, Können G (2003) Homogeneity of 20th century European daily temperature and precipitation series. Int J Climatol 23(6):679–692. https://doi.org/10.1002/joc.906
Wu J, Tan X, Chen X, Lin K (2020) Dynamic changes of the dryness/wetness characteristics in the largest river basin of South China and their possible climate driving factors. Atmosp Res 232:104685. https://doi.org/10.1016/j.atmosres.2019.104685
Xiao S, Lu Z, Wang P (2018) Multivariate global sensitivity analysis for dynamic models based on wavelet analysis. Rel Eng Sys Safe 170:20–30. https://doi.org/10.1016/j.ress.2017.10.007
Xing L, Huang L, Chi G, Yang L, Li C, Hou X (2018) A dynamic study of a karst spring based on wavelet analysis and the Mann-Kendall Trend Test. Water 10(6):698. https://doi.org/10.3390/w10060698
Yılmaz M, Tosunoğlu F (2019) Trend assessment of annual instantaneous maximum flows in Turkey. Hydrol Sci J 64(7):820–834. https://doi.org/10.1080/02626667.2019.1608996
Zhou Z, Wang L, Lin A, Zhang M, Niu Z (2018) Innovative trend analysis of solar radiation in China during 1962–2015. Renew Energ 119:675–689. https://doi.org/10.1016/j.renene.2017.12.052
Acknowledgements
The author is grateful to the Turkish General Directorate of State Hydraulic Works for providing the streamflow data. In addition, the author also would like to thank the anonymous reviewer of the research article carried out by Sezen and Partal (2019) for sharing the NCP data, which covers the period of 1960–2015.
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Sezen, C. A new wavelet combined innovative polygon trend analysis (W-IPTA) approach for investigating the trends in the streamflow regime in the Konya Closed Basin, Turkey. Theor Appl Climatol 151, 1523–1565 (2023). https://doi.org/10.1007/s00704-022-04328-6
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DOI: https://doi.org/10.1007/s00704-022-04328-6