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Reevaluating streamflow declines across the middle East and central Asia with insights from change point detection

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Abstract

Change point detection (CPD) methods are widely used to identify abrupt shifts in streamflow, often linked to human activities. This study assesses the effectiveness of CPD techniques across countries in the Middle East, Central Asia, and Pakistan—regions vulnerable to water scarcity and climate variability. Analysis of annual streamflow data (1970–2018) revealed that 1998 was the most frequent breakpoint, coinciding with a major El Niño event, suggesting climatic anomalies were key drivers of the initial change. The coherence of breakpoints across the region highlights the influence of large-scale climate signals. However, comparison of pre- and post-break conditions indicates that the magnitude of hydrological shifts cannot be explained by climate alone, highlighting the limitations of CPD methods in distinguishing climatic from anthropogenic drivers. To explore these dynamics in more detail, the Karkheh River Basin (KRB) in Iran was examined. A marked change in streamflow patterns around 1998 was observed, along with shifts in temperature and precipitation. These results underscore the need for cautious use of CPD methods when attributing hydrological changes to human versus climatic factors.

Data availability

The data used in this study is owned by the Iran Water Resources Management Organization (https://www.wrm.ir), where the datasets can be accessed.

References

  1. Green, T. R., Taniguchi, M. & Kooi, H. Potential impacts of climate change and human activity on subsurface water resources. Vadose Zone J. 6, 531–532 (2007).

    Google Scholar 

  2. Ryberg, K. R., Hodgkins, G. A. & Dudley, R. W. Change points in annual peak streamflows: method comparisons and historical change points in the united States. J. Hydrol. (Amst). 583, 124307 (2020).

    Google Scholar 

  3. Dey, P. & Mishra, A. Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions. J. Hydrol. (Amst). 548, 278–290 (2017).

    Google Scholar 

  4. Masson-Delmotte, V. et al. Climate change 2021: the physical science basis. Contribution Working group. I Sixth Assess. Rep. Intergovernmental Panel Clim. Change. 2, 2391 (2021).

    Google Scholar 

  5. Huang, J. C., Lee, T. Y. & Lee, J. Y. Observed magnified runoff response to rainfall intensification under global warming. Environ. Res. Lett. 9, 034008 (2014).

    Google Scholar 

  6. Wrzesien, M. L. & Pavelsky, T. M. Projected changes to extreme runoff and precipitation events from a downscaled simulation over the Western united States. Front. Earth Sci. (Lausanne) 7, 355 (2020).

    Google Scholar 

  7. Wen, S. et al. Attribution of streamflow changes during 1961–2019 in the upper Yangtze and the upper yellow river basins. Clim. Change. 177, 60 (2024).

    Google Scholar 

  8. Liu, J., Zhang, C., Kou, L. & Zhou, Q. Effects of climate and land use changes on water resources in the Taoer river. Adv. Meteorol. 2017, 1–13 (2017).

    Google Scholar 

  9. Tan, X., Liu, B., Tan, X., Huang, Z. & Fu, J. Combined impacts of climate change and human activities on blue and green water resources in a high-intensity development watershed. Hydrol. Earth Syst. Sci. 29, 427–445 (2025).

    Google Scholar 

  10. Zhang, W., Villarini, G., Vecchi, G. A. & Smith, J. A. Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston. Nature 563, 384–388 (2018).

    Google Scholar 

  11. Zeng, F. et al. Reduced runoff in the upper Yangtze river due to comparable contribution of anthropogenic and climate changes. Earths Future 12, e2023EF004028 (2024).

    Google Scholar 

  12. Li, Z., Li, Q., Wang, J., Feng, Y. & Shao, Q. Impacts of projected climate change on runoff in upper reach of Heihe river basin using climate elasticity method and GCMs. Sci. Total Environ. 716, 137072 (2020).

    Google Scholar 

  13. Shah, L. A. et al. Statistical significance assessment of streamflow elasticity of major rivers. Civil Eng. J. 7, 893–905 (2021).

    Google Scholar 

  14. Somorowska, U. & Łaszewski, M. Quantifying streamflow response to climate variability, wastewater inflow, and sprawling urbanization in a heavily modified river basin. Sci. Total Environ. 656, 458–467 (2019).

    Google Scholar 

  15. Yu, K. et al. Evaluating the impact of ecological construction measures on water balance in the loess plateau region of China within the Budyko framework. J. Hydrol. (Amst). 601, 126596 (2021).

    Google Scholar 

  16. Friedman, D. et al. US army corps of engineers nonstationarity detection tool user guide (US Army Corps of Engineers: Washington, DC 2016).

  17. Koutsoyiannis, D. Nonstationarity versus scaling in hydrology. J. Hydrol. (Amst). 324, 239–254 (2006).

    Google Scholar 

  18. Stosic, T., Telesca, L., de Souza Ferreira, D. V. & Stosic, B. Investigating anthropically induced effects in streamflow dynamics by using permutation entropy and statistical complexity analysis: A case study. J. Hydrol. (Amst). 540, 1136–1145 (2016).

    Google Scholar 

  19. Zhang, Q., Singh, V. P., Li, K. & Li, J. Trend, periodicity and abrupt change in streamflow of the East river, the Pearl river basin. Hydrol. Process. 28, 305–314 (2014).

    Google Scholar 

  20. Buishand, T. A. Some methods for testing the homogeneity of rainfall records. J. Hydrol. (Amst). 58, 11–27 (1982).

    Google Scholar 

  21. Alexandersson, H. & institutionen, U. M. A Homogeneity Test Based on Ratios and Applied To Precipitation Series (Inst., Univ., 1984).

  22. Pettitt, A. N. A Non-Parametric approach to the Change-Point problem. Appl. Stat. 28, 126 (1979).

    Google Scholar 

  23. Animashaun, I. M., Oguntunde, P. G., Akinwumiju, A. S. & Olubanjo, O. O. Rainfall analysis over the Niger central hydrological Area, Nigeria: Variability, trend, and change point detection. Sci. Afr. 8, e00419 (2020).

    Google Scholar 

  24. Dariane, A. B. & Pouryafar, E. Quantifying and projection of the relative impacts of climate change and direct human activities on streamflow fluctuations. Clim. Change. 165, 34 (2021).

    Google Scholar 

  25. Hou, M. et al. Streamflow composition and the contradicting impacts of anthropogenic activities and Climatic change on streamflow in the Amu Darya basin, central Asia. J. Hydrometeorol. 24, 185–201 (2023).

    Google Scholar 

  26. Jiang, C., Zhang, L. & Tang, Z. Multi-temporal scale changes of streamflow and sediment discharge in the headwaters of yellow river and Yangtze river on the Tibetan Plateau, China. Ecol. Eng. 102, 240–254 (2017).

    Google Scholar 

  27. Li, M., Gu, H., Wang, H., Wang, Y. & Chi, B. Quantifying the impact of climate variability and human activities on streamflow variation in Taoer river Basin, China. Environ. Sci. Pollut. Res. 30, 56425–56439 (2023).

    Google Scholar 

  28. Minaei, M. & Irannezhad, M. Spatio-temporal trend analysis of precipitation, temperature, and river discharge in the Northeast of Iran in recent decades. Theor. Appl. Climatol. 131, 167–179 (2018).

    Google Scholar 

  29. Xie, P., Gu, H., Sang, Y. F., Wu, Z. & Singh, V. P. Comparison of different methods for detecting change points in hydroclimatic time series. J. Hydrol. (Amst). 577, 123973 (2019).

    Google Scholar 

  30. Zuo, D., Xu, Z., Wu, W., Zhao, J. & Zhao, F. Identification of streamflow response to climate change and human activities in the Wei river Basin, China. Water Resour. Manag. 28, 833–851 (2014).

    Google Scholar 

  31. Perreault, L., Bernier, J., Bobée, B. & Parent, E. Bayesian change-point analysis in hydrometeorological time series. Part 1. The normal model revisited. J. Hydrol. (Amst) 235, 221–241 (2000).

    Google Scholar 

  32. Perreault, L., Bernier, J., Bobée, B. & Parent, E. Bayesian change-point analysis in hydrometeorological time series. Part 2. Comparison of change-point models and forecasting. J. Hydrol. (Amst) 235, 242–263 (2000).

    Google Scholar 

  33. Yang, L. et al. Runoff changes in the major river basins of China and their responses to potential driving forces. J. Hydrol. (Amst). 607, 127536 (2022).

    Google Scholar 

  34. Zeng, F., Ma, M. G., Di, D. R. & Shi, W. Y. Separating the impacts of climate change and human activities on runoff: A review of method and application. Water (Basel). 12, 2201 (2020).

    Google Scholar 

  35. Nourani, V., Gholinia, A., Abbaszadeh, P., Ahmadi, R. & Ke, C. Q. Unravelling the impact of climate change and anthropogenic activities on streamflow: The benefit of newly developed evapotranspiration data. Hydrol. Sci. J. 69, 1–18 (2024). https://doi.org/10.1080/02626667.2024.2398654 (2024).

    Google Scholar 

  36. Al-Hasani, A. A. J. Trend analysis and abrupt change detection of streamflow variations in the lower Tigris river Basin, Iraq. Int. J. River Basin Manag. 19, 523–534 (2021).

    Google Scholar 

  37. Bai, X. & Zhao, W. Impacts of climate change and anthropogenic stressors on runoff variations in major river basins in China since 1950. Sci. Total Environ. 898, 165349 (2023).

    Google Scholar 

  38. Banda, V. D., Dzwairo, R. B., Singh, S. K. & Kanyerere, T. Separating anthropogenic and climate contributions to streamflow variations in Rietspruit sub-basin, South Africa. Phys. Chem. Earth Parts A/B/C. 127, 103200 (2022).

    Google Scholar 

  39. Darvini, G. & Memmola, F. Assessment of the impact of climate variability and human activities on the runoff in five catchments of the Adriatic Coast of south-central Italy. J. Hydrol. Reg. Stud. 31, 100712 (2020).

    Google Scholar 

  40. Hu, Y. et al. An integrated assessment of runoff dynamics in the Amu Darya river basin: confronting climate change and multiple human activities, 1960–2017. J. Hydrol. (Amst) 603, 126905 (2021).

    Google Scholar 

  41. Jiang, C. & Wang, F. Temporal changes of streamflow and its causes in the Liao river basin over the period of 1953–2011, Northeastern China. Catena (Amst). 145, 227–238 (2016).

    Google Scholar 

  42. Liu, N., Harper, R. J., Smettem, K. R. J., Dell, B. & Liu, S. Responses of streamflow to vegetation and climate change in Southwestern Australia. J. Hydrol. (Amst). 572, 761–770 (2019).

    Google Scholar 

  43. Panditharathne, R. et al. Trends and variabilities in rainfall and streamflow: A case study of the Nilwala river basin in Sri Lanka. Hydrology 10, 8 (2022).

    Google Scholar 

  44. Saifullah, M. et al. Hydrological response of the Kunhar river basin in Pakistan to climate change and anthropogenic impacts on runoff characteristics. Water (Basel). 13, 3163 (2021).

    Google Scholar 

  45. Wu, L. et al. Evaluating the contributions of climate change and human activities to runoff in typical semi-arid area, China. J. Hydrol. (Amst). 590, 125555 (2020).

    Google Scholar 

  46. Zhang, Y. et al. Analysis of impacts of climate variability and human activity on streamflow for a river basin in Northeast China. J. Hydrol. (Amst). 410, 239–247 (2011).

    Google Scholar 

  47. Thielen, D. R. et al. Effect of extreme El Niño events on the precipitation of Ecuador. Nat. Hazards Earth Syst. Sci. 23, 1507–1527 (2023).

    Google Scholar 

  48. Milly, P. C. D. et al. On critiques of stationarity is dead: whither water management? Water Resour. Res. 51, 7785–7789 (2015).

    Google Scholar 

  49. Sen, P. K. Estimates of the regression coefficient based on kendall’s Tau. J. Am. Stat. Assoc. 63, 1379–1389 (1968).

    Google Scholar 

  50. Wang, G., Xia, J. & Chen, J. Quantification of effects of climate variations and human activities on runoff by a monthly water balance model: A case study of the Chaobai river basin in Northern China. Water Resour. Res 45 (2009).

  51. Kazemzadeh, M. & Malekian, A. Changeability evaluation of hydro-climate variables in Western Caspian sea region, Iran. Environ. Earth Sci. 77, 120 (2018).

    Google Scholar 

  52. Sharifi, A., Mirabbasi, R., Nasr-Esfahani, A. & Torabi Haghighi, M. Fatahi Nafchi, R. Quantifying the impacts of anthropogenic changes and climate variability on runoff changes in central plateau of Iran using nine methods. J. Hydrol. (Amst). 603, 127045 (2021).

    Google Scholar 

  53. Mikaeili, O. & Shourian, M. Assessment of the analytic and hydrologic methods in separation of watershed response to climate and land use changes. Water Resour. Manage. 37, 2575–2591 (2023).

    Google Scholar 

  54. Jalali, J., Ahmadi, A. & Abbaspour, K. Runoff responses to human activities and climate change in an arid watershed of central Iran. Hydrol. Sci. J. 66, 2280–2297 (2021).

    Google Scholar 

  55. Ansari Mahabadi, S. & Delavar, M. Evaluation and comparison of different methods for determining the contribution of Climatic factors and direct human interventions in reducing watershed discharge. Ecol. Indic. 158, 111480 (2024).

    Google Scholar 

  56. Latif, M., Semenov, V. A. & Park, W. Super El Niños in response to global warming in a climate model. Clim. Change. 132, 489–500 (2015).

    Google Scholar 

  57. Varotsos, C. A. & Deligiorgi, D. G. Sea-surface temperature and Southern Oscillation signal in the upper stratosphere‐lower mesosphere. Int. J. Climatol. 11, 77–83 (1991).

    Google Scholar 

  58. Alizadeh-Choobari, O. & Najafi, M. S. Extreme weather events in Iran under a changing climate. Clim. Dyn. 50, 249–260 (2018).

    Google Scholar 

  59. Barlow, M. et al. A review of drought in the middle East and Southwest Asia. J. Clim. 29, 8547–8574 (2016).

    Google Scholar 

  60. Salehi, S., Dehghani, M., Mortazavi, S. M. & Singh, V. P. Trend analysis and change point detection of seasonal and annual precipitation in Iran. Int. J. Climatol. 40, 308–323 (2020).

    Google Scholar 

  61. Zarezadeh, M., Delavar, M., Morid, S. & Abbasi, H. Evaluating the effectiveness of macro-level water-saving policies based on water footprint sustainability indicators. Agric. Water Manag. 282, 108272 (2023).

    Google Scholar 

  62. Zarenistanak, M., Kripalani, R. H. & Dhorde, A. G. Trend analysis and change point detection of annual and seasonal precipitation and temperature series over Southwest Iran. J. Earth Syst. Sci. 123, 281–295 (2014).

    Google Scholar 

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Authors and Affiliations

  1. Department of Civil Engineering, K.N.Toosi University of Technology, Tehran, Iran

    Alireza Borhani Dariane & Mahboobeh Ghasemi

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  1. Alireza Borhani Dariane
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  2. Mahboobeh Ghasemi
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Contributions

A.B.D. supervised the research, developed the main idea and methodology, and analyzed the results. M.Gh. prepared the computer models, obtained the results and wrote the initial draft, which was then modified and finalized by A.B.D.

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Correspondence to
Alireza Borhani Dariane.

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Dariane, A.B., Ghasemi, M. Reevaluating streamflow declines across the middle East and central Asia with insights from change point detection.
Sci Rep (2025). https://doi.org/10.1038/s41598-025-32722-3

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  • DOI: https://doi.org/10.1038/s41598-025-32722-3

Keywords

  • Change point
  • Climate change
  • Human activities
  • Pettitt test
  • Streamflow

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