• Adenbaev, B. Y., F. H. Hikmatov, and O. A. Kxaydarova, 2015: Hydrological regime of the lower reaches of Amudarja River in the conditions of intensive economical use of water resources. Eur. Sci. Rev, 9–10, 1821.

    • Search Google Scholar
    • Export Citation
  • Agal’tseva, N. A., M. V. Bolgov, T. Y. Spektorman, M. D. Trubetskova, and V. E. Chub, 2011: Estimating hydrological characteristics in the Amu Darya River basin under climate change conditions. Russ. Meteor. Hydrol., 36, 681689, https://doi.org/10.3103/S1068373911100062.

    • Search Google Scholar
    • Export Citation
  • Andreadis, K. M., P. Storck, and D. P. Lettenmaier, 2009: Modeling snow accumulation and ablation processes in forested environments. Water Resour. Res., 45, W05429, https://doi.org/10.1029/2008WR007042.

    • Search Google Scholar
    • Export Citation
  • Armstrong, R. L., and Coauthors, 2019: Runoff from glacier ice and seasonal snow in High Asia: Separating melt water sources in river flow. Reg. Environ. Change, 19, 12491261, https://doi.org/10.1007/s10113-018-1429-0.

    • Search Google Scholar
    • Export Citation
  • Barnett, T. P., J. C. Adam, and D. P. Lettenmaier, 2005: Potential impacts of a warming climate on water availability in snow-dominated regions. Nature, 438, 303309, https://doi.org/10.1038/nature04141.

    • Search Google Scholar
    • Export Citation
  • Brodzik, M. J., and R. Armstrong, 2013: Northern Hemisphere EASE-Grid 2.0 weekly snow cover and sea ice extent, version 4. NASA National Snow and Ice Data Center Distributed Active Archive Center, accessed 23 September 2020, https://doi.org/10.5067/P7O0HGJLYUQU.

  • Chang, J., H. Zhang, Y. Wang, and Y. Zhu, 2016: Assessing the impact of climate variability and human activities on streamflow variation. Hydrol. Earth Syst. Sci., 20, 15471560, https://doi.org/10.5194/hess-20-1547-2016.

    • Search Google Scholar
    • Export Citation
  • Chen, Y., W. Li, G. Fang, and Z. Li, 2017: Review article: Hydrological modeling in glacierized catchments of central Asia–Status and challenges. Hydrol. Earth Syst. Sci., 21, 669684, https://doi.org/10.5194/hess-21-669-2017.

    • Search Google Scholar
    • Export Citation
  • Chen, Y., Z. Li, G. Fang, and W. Li, 2018: Large hydrological processes changes in the transboundary rivers of Central Asia. J. Geophys. Res. Atmos., 123, 50595069, https://doi.org/10.1029/2017JD028184.

    • Search Google Scholar
    • Export Citation
  • Cherkauer, K. A., and D. P. Lettenmaier, 1999: Hydrologic effects of frozen soils in the upper Mississippi River basin. J. Geophys. Res., 104, 19 59919 610, https://doi.org/10.1029/1999JD900337.

    • Search Google Scholar
    • Export Citation
  • Cuo, L., 2016: Land use/cover change impacts on hydrology in large river basins: A review. Terrestrial Water Cycle and Climate Change: Natural and Human-Induced Impacts, Geophys. Monogr., Vol., 221, Amer. Geophys. Union, 103–134, https://doi.org/10.1002/9781118971772.ch6.

  • Cuo, L., D. P. Lettenmaier, M. Alberti, and J. E. Richey, 2009: Effects of a century of land cover and climate change on hydrology in Puget Sound. Hydrol. Processes, 23, 907933, https://doi.org/10.1002/hyp.7228.

    • Search Google Scholar
    • Export Citation
  • Cuo, L., Y. Zhang, Y. Gao, Z. Hao, and L. Cairang, 2013: The impacts of climate change and land cover transition on the hydrology in the upper Yellow River basin, China. J. Hydrol., 502, 3752, https://doi.org/10.1016/j.jhydrol.2013.08.003.

    • Search Google Scholar
    • Export Citation
  • Dey, P., A. Mishra, 2017: Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions. J. Hydrol., 548, 278290, https://doi.org/10.1016/j.jhydrol.2017.03.014.

    • Search Google Scholar
    • Export Citation
  • FAO, 2013: Irrigation in Central Asia in figures. FAO Water Rep. 39, 246 pp., http://www.fao.org/docrep/018/i3289e/i3289e.pdf.

  • FAO, 2021: AQUASTAT core database. Food and Agriculture Organization of the United Nations, accessed 7 September 2021, http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en.

  • Froebrich, J., O. Olsson, M. Bauer, I. Normatov, and G. Petrov, 2006: Improved dam operation in the Amu Darya Basin including transboundary aspects. Dams and Reservoirs, Societies and Environment in the 21st Century, L. Berga et al., Eds., Taylor and Francis Group, 97–103.

  • Gleick, P., C. Iceland, and A. Trivedi, 2020: Ending conflicts over water: Solutions to water and security challenges. Water, Peace and Security Rep., 128 pp., https://pacinst.org/wp-content/uploads/2020/09/Ending-Conflicts-Over-Water-Pacific-Institute-Sept-2020.pdf.

  • Gupta, H. V., S. Sorooshian, and P. O. Yapo, 1999: Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration. J. Hydrol. Eng., 4, 135143, https://doi.org/10.1061/(ASCE)1084-0699(1999)4:2(135).

    • Search Google Scholar
    • Export Citation
  • Hagg, W., M. Hoelzle, S. Wagner, E. Mayr, and Z. Klose, 2013: Glacier and runoff changes in the Rukhk catchment, upper Amu-Darya basin until 2050. Global Planet. Change, 110, 6273, https://doi.org/10.1016/j.gloplacha.2013.05.005.

    • Search Google Scholar
    • Export Citation
  • Hock, R., 1999: A distributed temperature-index ice-and snowmelt model including potential direct solar radiation. J. Glaciol., 45, 101111, https://doi.org/10.3189/S0022143000003087.

    • Search Google Scholar
    • Export Citation
  • Hu, Y., W. Duan, Y. Chen, S. Zou, P. M. Kayumba, and N. Sahu, 2021: An integrated assessment of runoff dynamics in the Amu Darya River Basin: Confronting climate change and multiple human activities, 1960–2017. J. Hydrol., 603, 126905, https://doi.org/10.1016/j.jhydrol.2021.126905.

    • Search Google Scholar
    • Export Citation
  • Immerzeel, W. W., A. F. Lutz, and P. Droogers, 2012: Climate change impacts on the upstream water resources of the Amu and Syr Darya River Basins. Future Water Rep. 107, 103 pp., https://www.futurewater.nl/wp-content/uploads/2012/03/Upstream_Report_FW_web.pdf.

  • Istanbulluoglu, E., T. Wang, O. M. Wright, and J. D. Lenters, 2012: Interpretation of hydrologic trends from a water balance perspective: The role of groundwater storage in the Budyko hypothesis. Water Resour. Res., 48, W00H16, https://doi.org/10.1029/2010WR010100.

    • Search Google Scholar
    • Export Citation
  • Jiang, S., L. Ren, B. Yong, V. P. Singh, X. Yang, and F. Yuan, 2011: Quantifying the effects of climate variability and human activities on runoff from the Laohahe basin in Northern China using three different methods. Hydrol. Processes, 25, 24922505, https://doi.org/10.1002/hyp.8002.

    • Search Google Scholar
    • Export Citation
  • Jilili, R., 2019: Study on the impacts of climate change and human activities on runoff in the Amu Darya River, Central Asia (in Chinese). M.S. thesis, Dept. of Geography and Tourism, Xinjiang Normal University, 61 pp.

  • Kendall, M. G., 1975: Rank Correlation Methods. 4th ed. Charles Griffin, 202 pp.

  • Khan, V. M., and L. Holko, 2009: Snow cover characteristics in the Aral Sea Basin from different data sources and their relation with river runoff. J. Mar. Syst., 76, 254262, https://doi.org/10.1016/j.jmarsys.2008.03.012.

    • Search Google Scholar
    • Export Citation
  • Kling, H., M. Fuchs, and M. Paulin, 2012: Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios. J. Hydrol., 424425, 264277, https://doi.org/10.1016/j.jhydrol.2012.01.011.

    • Search Google Scholar
    • Export Citation
  • Konovalov, V. G., 2011: Past and prospective change in state of Central Asian glaciers. Ice Snow, 3, 6068.

  • Konovalov, V. G., and A. S. Shchetinnicov, 1994: Evolution of glaciation in the Pamiro-Alai Mountains and its effect on river runoff. J. Glaciol., 40, 149157, https://doi.org/10.1017/S0022143000003920.

    • Search Google Scholar
    • Export Citation
  • Li, L. J., L. Zhang, H. Wang, J. Wang, J. W. Yang, D. J. Jiang, J. Y. Li, and D. Y. Qin, 2007: Assessing the impact of climate variability and human activities on streamflow from the Wuding River basin in China. Hydrol. Processes, 21, 34853491, https://doi.org/10.1002/hyp.6485.

    • Search Google Scholar
    • Export Citation
  • Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges, 1994: A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J. Geophys. Res., 99, 14 41514 428, https://doi.org/10.1029/94JD00483.

    • Search Google Scholar
    • Export Citation
  • Liang, X., E. F. Wood, and D. P. Lettenmaier, 1996: Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification. Global Planet. Change, 13, 195206, https://doi.org/10.1016/0921-8181(95)00046-1.

    • Search Google Scholar
    • Export Citation
  • Liu, Z., L. Cuo, Q. Li, X. Liu, X. Ma, L. Liang, and J. Ding, 2020a: Impacts of climate change and land use/cover change on streamflow in Beichuan River Basin in Qinghai Province, China. Water, 12, 1198, https://doi.org/10.3390/w12041198.

    • Search Google Scholar
    • Export Citation
  • Liu, Z., Z. Yao, R. Wang, and G. Yu, 2020b: Estimation of the Qinghai-Tibetan plateau runoff and its contribution to large Asian rivers. Sci. Total Environ., 749, 141570, https://doi.org/10.1016/j.scitotenv.2020.141570.

    • Search Google Scholar
    • Export Citation
  • Lohmann, D., E. Raschke, B. Nijssen, and D. P. Lettenmaier, 1998: Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrol. Sci. J., 43, 131141, https://doi.org/10.1080/02626669809492107.

    • Search Google Scholar
    • Export Citation
  • Lutz, A. F., W. W. Immerzeel, A. B. Shrestha, and M. F. P. Bierkens, 2014: Consistent increase in High Asia’s runoff due to increasing glacier melt and precipitation. Nat. Climate Change, 4, 587592, https://doi.org/10.1038/nclimate2237.

    • Search Google Scholar
    • Export Citation
  • Mann, H. B., 1945: Nonparametric tests against trend. Econometrica, 13, 245259, https://doi.org/10.2307/1907187.

  • McKee, T. B., N. J. Doeskin, and J. Kleist, 1993: The relationship of drought frequency and duration to time scales. 8th Conf. on Applied Climatology, Boston, MA, Amer. Meteor. Soc., 179–184.

  • Micklin, P., 2007: The Aral Sea disaster. Annu. Rev. Earth Planet. Sci., 35, 4772, https://doi.org/10.1146/annurev.earth.35.031306.140120.

    • Search Google Scholar
    • Export Citation
  • Micklin, P., 2016: The future Aral Sea: Hope and despair. Environ. Earth Sci., 75, 844, https://doi.org/10.1007/s12665-016-5614-5.

  • Moriasi, D. N., J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, and T. L. Veith, 2007: Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE, 50, 885900, https://doi.org/10.13031/2013.23153.

    • Search Google Scholar
    • Export Citation
  • Nash, J. E., and J. V. Sutcliffe, 1970: River flow forecasting through conceptual models: Part 1. A discussion of principles. J. Hydrol., 10, 282290, https://doi.org/10.1016/0022-1694(70)90255-6.

    • Search Google Scholar
    • Export Citation
  • Olsson, O., M. Gassmann, K. Wegerich, and M. Bauer, 2010: Identification of the effective water availability from streamflows in the Zerafshan river basin, Central Asia. J. Hydrol., 390, 190197, https://doi.org/10.1016/j.jhydrol.2010.06.042.

    • Search Google Scholar
    • Export Citation
  • Pettitt, A. N., 1979: A non-parametric approach to the change point problem. J. Appl. Stat., 28, 126135, https://doi.org/10.2307/2346729.

    • Search Google Scholar
    • Export Citation
  • Pritchard, H. D., 2019: Asia’s shrinking glaciers protect large populations from drought stress. Nature, 569, 649654, https://doi.org/10.1038/s41586-019-1240-1.

    • Search Google Scholar
    • Export Citation
  • RGI Consortium, 2014: Randolph Glacier Inventory-A dataset of global glacier outlines, version 4.0. National Snow and Ice Data Center, accessed 1 December 2014, https://doi.org/10.7265/bse7-r330.

  • Sankarasubramanian, A., R. M. Vogel, and J. F. Limbrunner, 2001: Climate elasticity of streamflow in the United States. Water Resour. Res., 37, 17711781, https://doi.org/10.1029/2000WR900330.

    • Search Google Scholar
    • Export Citation
  • Savoskul, O. S., and V. Smakhtin, 2013: Glacier systems and seasonal snow cover in six major Asian river basins: Hydrological role under changing climate. International Water Management Institute Research Rep. 150, 45 pp., https://www.iwmi.cgiar.org/2013/07/glacier-systems-and-seasonal-snow-cover-in-six-major-asian-river-basins-hydrological-role-under-changing-climate/.

  • Schaake, J. C., 1990: From climate to flow. Climate Change and U.S. Water Resources, P. E. Waggoner, Ed., John Wiley, 177–206.

  • Sen, P. K., 1968: Estimates of regression coefficient based on Kendall’s tau. J. Amer. Stat. Assoc., 63, 13791389, https://doi.org/10.1080/01621459.1968.10480934.

    • Search Google Scholar
    • Export Citation
  • Sorg, A., T. Bolch, M. Stoffel, O. Solomina, and M. Beniston, 2012: Climate change impacts on glaciers and runoff in Tien Shan (Central Asia). Nat. Climate Change, 2, 725731, https://doi.org/10.1038/nclimate1592.

    • Search Google Scholar
    • Export Citation
  • Stulina, G., and O. Eshchanov, 2013: Climate change impacts on hydrology and environment in the Pre-Aral region. Quat. Int., 311, 8796, https://doi.org/10.1016/j.quaint.2013.07.015.

    • Search Google Scholar
    • Export Citation
  • Su, Y., and Coauthors, 2021: High agricultural water consumption led to the continued shrinkage of the Aral Sea during 1992–2015. Sci. Total Environ., 777, 145993, https://doi.org/10.1016/j.scitotenv.2021.145993.

    • Search Google Scholar
    • Export Citation
  • Thornthwaite, C. W., 1948: An approach toward a rational classification of climate. Geogr. Rev., 38, 5594, https://doi.org/10.2307/210739.

    • Search Google Scholar
    • Export Citation
  • Todini, E., 1996: The ARNO rainfall-runoff model. J. Hydrol., 175, 339382, https://doi.org/10.1016/S0022-1694(96)80016-3.

  • Unger-Shayesteh, K., S. Vorogushyn, D. Farinotti, A. Gafurov, D. Duethmann, A. Mandychev, and B. Merz, 2013: What do we know about past changes in the water cycle of Central Asian headwaters? A review. Global Planet. Change, 110, 425, https://doi.org/10.1016/j.gloplacha.2013.02.004.

    • Search Google Scholar
    • Export Citation
  • Vicente-Serrano, S. M., S. Beguería, and J. I. López-Moreno, 2010: A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. J. Climate, 23, 16961718, https://doi.org/10.1175/2009JCLI2909.1.

    • Search Google Scholar
    • Export Citation
  • Viviroli, D., and R. Weingartner, 2004: The hydrological significance of mountains: From regional to global scale. Hydrol. Earth Syst. Sci., 8, 10171030, https://doi.org/10.5194/hess-8-1017-2004.

    • Search Google Scholar
    • Export Citation
  • Wagner, S., and M. Hoelzle, 2010: Glacier volume changes in the Panj and Vaksh basins. Application of simple parameterizations to estimate past and future glacier change in the Panj and Vakhsh River Basins. Tech. Rep., ITos GmbH, 103 pp.

  • Wang, X., Y. Luo, L. Sun, C. He, Y. Zhang, and S. Liu, 2016: Attribution of runoff decline in the Amu Darya River in central Asia during 1951–2007. J. Hydrometeor., 17, 15431560, https://doi.org/10.1175/JHM-D-15-0114.1.

    • Search Google Scholar
    • Export Citation
  • Wang, X., Y. Chen, Z. Li, G. Fang, F. Wang, and H. Liu, 2020: The impact of climate change and human activities on the Aral Sea Basin over the past 50 years. Atmos. Res., 245, 105125, https://doi.org/10.1016/j.atmosres.2020.105125.

    • Search Google Scholar
    • Export Citation
  • Yang, W., N. Wang, A. Chen, J. He, T. Hua, and Y. Qie, 2020: Changes in area and water volume of the Aral Sea in the arid Central Asia over the period of 1960–2018 and their causes. Catena, 191, 104566, https://doi.org/10.1016/j.catena.2020.104566.

    • Search Google Scholar
    • Export Citation
  • Yao, T., and Coauthors, 2012: Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nat. Climate Change, 2, 663667, https://doi.org/10.1038/nclimate1580.

    • Search Google Scholar
    • Export Citation
  • Zhang, L., F. Su, D. Yang, Z. Hao, and K. Tong, 2013: Discharge regime and simulation for the upstream of major rivers over Tibetan Plateau. J. Geophys. Res. Atmos., 118, 85008518, https://doi.org/10.1002/jgrd.50665.

    • Search Google Scholar
    • Export Citation
  • Zhao, Q., and Coauthors, 2019: Projecting climate change impacts on hydrological processes on the Tibetan Plateau with model calibration against the glacier inventory data and observed streamflow. J. Hydrol., 573, 6081, https://doi.org/10.1016/j.jhydrol.2019.03.043.

    • Search Google Scholar
    • Export Citation
  • Zheng, H., L. Zhang, R. Zhu, C. Liu, Y. Sato, and Y. Fukushima, 2009: Responses of streamflow to climate and land surface change in the headwaters of the Yellow River Basin. Water Resour. Res., 45, W00A19, https://doi.org/10.1029/2007WR006665.

    • Search Google Scholar
    • Export Citation
  • Zhiltsov, S. S., I. S. Zonn, O. E. Grishin, V. G. Egorov, and M. S. Ruban, 2018: Transboundary Rivers in Central Asia: Cooperation and conflicts among countries. Water Resources in Central Asia: International Context, S. Zhiltsov et al., Eds., Springer, 61–80.

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Streamflow Composition and the Contradicting Impacts of Anthropogenic Activities and Climatic Change on Streamflow in the Amu Darya Basin, Central Asia

Mei HouaState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
bUniversity of Chinese Academy of Sciences, Beijing, China

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Lan CuoaState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
bUniversity of Chinese Academy of Sciences, Beijing, China
cCenter for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China

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Amirkhamza MurodovaState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
bUniversity of Chinese Academy of Sciences, Beijing, China

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Jin DingdPublic Meteorological Service Center, China Meteorological Administration, Beijing, China

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Yi LuobUniversity of Chinese Academy of Sciences, Beijing, China
eKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

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Tie LiubUniversity of Chinese Academy of Sciences, Beijing, China
fState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China

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Xi ChenbUniversity of Chinese Academy of Sciences, Beijing, China
fState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
gResearch Center for Ecology and Environment of Central Asia, Urumqi, China

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Abstract

Transboundary rivers are often the cause of water-related international disputes. One example is the Amu Darya River, with a catchment area of 470 000 km2, which passes through five countries and provides water resources for 89 million people. Intensified human activities and climate change in this region have altered hydrological processes and led to water-related conflicts and ecosystem degradation. Understanding streamflow composition and quantifying the change impacts on streamflow in the Amu Darya basin (ADB) are imperative to water resources management. Here, a degree-day glacier-melt scheme coupled offline with the Variable Infiltration Capacity hydrological model (VIC-glacier), forced by daily precipitation, maximum and minimum air temperature, and wind speed, is used to examine streamflow composition and changes during 1953–2019. Results show large differences in streamflow composition among the tributaries. There is a decrease in the snowmelt component (−260.8 m3 s−1) and rainfall component (−30.1 m3 s−1) at Kerki but an increase in the glacier melt component (160.0 m3 s−1) during drought years. In contrast, there is an increase in the snowmelt component (378.6 m3 s−1) and rainfall component (12.0 m3 s−1) but a decrease in the glacier melt component (−201.8 m3 s−1) during wet years. Using the VIC-glacier and climate elasticity approach, impacts of human activities and climate change on streamflow at Kerki and Kiziljar during 1956–2015 are quantified. Both methods agree and show a dominant role played by human activities in streamflow reduction, with contributions ranging 103.2%–122.1%; however, the contribution of climate change ranges from −22.1% to −3.2%.

© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Lan Cuo, lancuo@itpcas.ac.cn

Abstract

Transboundary rivers are often the cause of water-related international disputes. One example is the Amu Darya River, with a catchment area of 470 000 km2, which passes through five countries and provides water resources for 89 million people. Intensified human activities and climate change in this region have altered hydrological processes and led to water-related conflicts and ecosystem degradation. Understanding streamflow composition and quantifying the change impacts on streamflow in the Amu Darya basin (ADB) are imperative to water resources management. Here, a degree-day glacier-melt scheme coupled offline with the Variable Infiltration Capacity hydrological model (VIC-glacier), forced by daily precipitation, maximum and minimum air temperature, and wind speed, is used to examine streamflow composition and changes during 1953–2019. Results show large differences in streamflow composition among the tributaries. There is a decrease in the snowmelt component (−260.8 m3 s−1) and rainfall component (−30.1 m3 s−1) at Kerki but an increase in the glacier melt component (160.0 m3 s−1) during drought years. In contrast, there is an increase in the snowmelt component (378.6 m3 s−1) and rainfall component (12.0 m3 s−1) but a decrease in the glacier melt component (−201.8 m3 s−1) during wet years. Using the VIC-glacier and climate elasticity approach, impacts of human activities and climate change on streamflow at Kerki and Kiziljar during 1956–2015 are quantified. Both methods agree and show a dominant role played by human activities in streamflow reduction, with contributions ranging 103.2%–122.1%; however, the contribution of climate change ranges from −22.1% to −3.2%.

© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Lan Cuo, lancuo@itpcas.ac.cn

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