journal article Nov 13, 2024

Exploring streamflow dynamics: trends and abrupt changes in major European rivers

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References
40
[1]
Abahous H, Ronchail J, Sifeddine A, Kenny L, Bouchaou L (2018) Trend and change point analyses of annual precipitation in the Souss-Massa Region in Morocco during 1932–2010. Theoret Appl Climatol 134:1153–1163 10.1007/s00704-017-2325-0
[2]
Changing climate both increases and decreases European river floods

Günter Blöschl, Julia Hall, Alberto Viglione et al.

Nature 2019 10.1038/s41586-019-1495-6
[3]
Bosneagu R, Lupu CE, Torica E et al (2022) Long-term analysis of air temperatures variability and trends on the Romanian Black Sea Coast. Acta Geophys 70:2179–2197 10.1007/s11600-022-00886-5
[4]
Cai Y, Liu S, Lin H (2020) Monitoring the vegetation dynamics in the Dongting Lake Wetland from 2000 to 2019 using the beast algorithm based on dense Landsat time series. Appl Sci 10(12):4209 10.3390/app10124209
[5]
Danilovich IS, Loginov VF, Groisman PY (2023) Changes of hydrological extremes in the center of Eastern Europe and their plausible causes. Water 15:2992 10.3390/w15162992
[6]
Di Nunno F, Granata F (2023a) Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and Artificial Intelligence algorithms. Stochastic Environ Res Risk Assess, 37(6). 10.1007/s00477-023-02390-8
[7]
Di Nunno F, Granata F (2023b) Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms. Agric Water Manag, 280(1–2) 10.1016/j.agwat.2023.108232
[8]
Di Nunno F, Granata F (2024) Analysis of trends and abrupt changes in groundwater and meteorological droughts in the United Kingdom. J Hydrol 637:131430 10.1016/j.jhydrol.2024.131430
[9]
Di Nunno F, de Marinis G, Granata F (2024a) Analysis of SPI index trend variations in the United Kingdom-a cluster-based and Bayesian ensemble algorithms approach. J Hydrol Reg Stud 52:101717 10.1016/j.ejrh.2024.101717
[10]
Di Nunno F, De Matteo M, Izzo G, Granata F (2023) A combined clustering and trends analysis approach for characterizing reference evapotranspiration in Veneto 10.3390/su151411091
[11]
Di Nunno F, Diodato N, Bellocchi G, Tricarico C, de Marinis G, Granata F (2024b). Evapotranspiration analysis in Central Italy: a combined trend and clustering approach. Climate, 12(5) 10.3390/cli12050064
[12]
Fink AH, Brücher T, Krüger A et al (2004) The 2003 European summer heatwaves and drought–synoptic diagnosis and impacts. Weather 59(8):209–216 10.1256/wea.73.04
[13]
Gholami H, Moradi Y, Lotfirad M et al (2022) Detection of abrupt shift and non-parametric analyses of trends in runoff time series in the Dez river basin. Water Supply 22(2):1216–1230 10.2166/ws.2021.357
[14]
Gnjato S, Popov T, Ivanišević M et al (2023) Long-term streamflow trends in Bosnia and Herzegovina (BH). Environ Earth Sci 82:356 10.1007/s12665-023-11040-9
[15]
Gumus V, Simsek O, Avsaroglu Y (2023) Evaluation of long-term monthly mean streamflow trend in the Mediterranean basins using different methods. Theoret Appl Climatol 151:1369–1382 10.1007/s00704-022-04293-0
[16]
Helsel DR, Frans LM (2006) Regional Kendall test for trend. Environ Sci Technol 40(13):4066–4073 10.1021/es051650b
[17]
Jarušková D (1997) Some problems with application of change point detection methods to environmental data. Environmetrics 8(5):469–483 10.1002/(sici)1099-095x(199709/10)8:5<469::aid-env265>3.0.co;2-j
[18]
Kaiguang (2024). Bayesian Changepoint Detection & Time Series Decomposition (https://github.com/zhaokg/Rbeast/releases/tag/1.1.2.60), GitHub. Retrieved May 29, 2024
[19]
Kendall MG (1975) Rank correlation methods, 4th edn. Charles Griffin, London
[20]
Keerthana A, Nair A (2022) Trend analysis of hydro-climatological factors using a Bayesian ensemble algorithm with reasoning from dynamic and static variables. Atmosphere 13(12):1961 10.3390/atmos13121961
[21]
Lane RA, Kay AL (2021) Climate change impact on the magnitude and timing of hydrological extremes across Great Britain. Front Water, 3 10.3389/frwa.2021.684982
[22]
Lombard F (1987) Rank tests for changepoint problems. Biometrika 74(3):615–624 10.1093/biomet/74.3.615
[23]
Lun D, Viglione A, Bertola M, Komma J, Parajka J, Valent P, Blöschl G (2021) Characteristics and process controls of statistical flood moments in Europe–a data-based analysis. Hydrol Earth Syst Sci 25(10):5535–5560 10.5194/hess-25-5535-2021
[24]
Nonparametric Tests Against Trend

Henry B. Mann

Econometrica 1945 10.2307/1907187
[25]
The 63-year changes in annual streamflow volumes across Europe with a focus on the Mediterranean basin

Daniele Masseroni, Stefania Camici, Alessio Cislaghi et al.

Hydrology and Earth System Sciences 2021 10.5194/hess-25-5589-2021
[26]
Mokhov II (2011) Specific features of the 2010 summer heat formation in the European territory of Russia in the context of general climate changes and climate anomalies. Izv Atmos Ocean Phys 47(6):653–660 10.1134/s0001433811060119
[27]
Pettitt AN (1979) A non-parametric approach to the changepoint problem. J Roy Stat Soc Ser C (Appl Stat) 28(2):126–135
[28]
Reeves J, Chen J, Wang XL, Lund R, Lu QQ (2007) A review and comparison of changepoint detection techniques for climate data. J Appl Meteorol Climatol 46(6):900–915 10.1175/jam2493.1
[29]
Rosbjerg D, Blöschl G, Burn DH, Castellarin A, Croke B, DiBaldassarre G, Iacobellis V, Kjeldsen TR, Kuczera G, Merz R, Montanari A, Morris D, Ouarda TBMJ, Ren L, Rogger M, Salinas JL, Toth E, Viglione A (2013) Chapter 9: Prediction of floods in ungauged basins. In: Blöschl G, Sivapalan M, Wagener T, Viglione A, Savenije H (eds) Runoff prediction in ungauged basins–synthesis across processes. Places and Scales, Cambridge University Press, Cambridge, pp 135–162
[30]
Sakizadeh M, Milewski A, Sattari MT (2023) Analysis of long-term trend of stream flow and interaction effect of land use and land cover on water yield by SWAT model and statistical learning in part of Urmia Lake Basin Northwest of Iran. Water 15:6900 10.3390/w15040690
[31]
Spinoni J, Naumann G, Vogt JV, Barbosa P (2015) The biggest drought events in Europe from 1950 to 2012. J Hydrol Reg Stud 3:509–524 10.1016/j.ejrh.2015.01.001
[32]
Stahl K, Hisdal H, Hannaford J, Tallaksen LM, van Lanen HAJ, Sauquet E, Demuth S, Fendekova M, Jódar J Streamflow trends in Europe: evidence from a dataset of near-natural catchments. Hydrol Earth Syst Sci 14:2367–2382 10.5194/hess-14-2367-2010
[33]
van der Breggen NN, Hudson PF (2024) Influence of atmospheric rivers on extreme rainfall and high streamflow events in northwestern Europe: Rur (Roer) River basin. J Hydrol Reg Stud 51:101644 10.1016/j.ejrh.2023.101644
[34]
Vicente-Serrano SM, Peña-Gallardo M, Hannaford J et al (2019) Climate, irrigation, and land cover change explain streamflow trends in countries bordering the Northeast Atlantic. Geophys Res Lett 46:10821–10833 10.1029/2019gl084084
[35]
Viglione A, Chirico GB, Woods R, Blöschl G (2010) Generalised synthesis of space–time variability in flood response: an analytical framework. J Hydrol 394:198–212 10.1016/j.jhydrol.2010.05.047
[36]
Viglione A, Merz R, Salinas JL, Blöschl G (2013) Flood frequency hydrology: 3 a Bayesian analysis. Water Resour Res 49:675–692 10.1029/2011wr010782
[37]
Xu X, Yang J, Ma C, Qu X, Chen J, Cheng L (2022) Segmented modeling method of dam displacement based on BEAST time series decomposition. Measurement 202:111811 10.1016/j.measurement.2022.111811
[38]
Yıldız MB, Di Nunno F, Đurin B, Pham QB, de Marinis G, Granata F (2024) A combined seasonal Mann-Kendall and innovative approach for the trend analysis of streamflow rate in two Croatian rivers. Water 16(10):1422 10.3390/w16101422
[39]
Zerouali B, Pawar UV, Elbeltagi A et al (2023) Change-point detection in monsoon rainfall of Narmada River (central India) during 1901–2015. J Earth Syst Sci 132:133 10.1007/s12040-023-02140-y
[40]
Zhao K, Wulder MA, Hu T et al (2019) Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: a Bayesian ensemble algorithm. Remote Sens Environ 232:111181 10.1016/j.rse.2019.04.034
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Published
Nov 13, 2024
Vol/Issue
38(12)
Pages
5019-5038
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Cite This Article
Fabio Di Nunno, Carlo Giudicianni, Enrico Creaco, et al. (2024). Exploring streamflow dynamics: trends and abrupt changes in major European rivers. Stochastic Environmental Research and Risk Assessment, 38(12), 5019-5038. https://doi.org/10.1007/s00477-024-02848-3