Abstract
Within the context of the Belt and Road Initiative (BRI) and the China-Myanmar Economic Corridor (CMEC), the Dulong-Irrawaddy (Ayeyarwady) River, an international river among China, India and Myanmar, plays a significant role as both a valuable hydro-power resource and an essential ecological passageway. However, the water resources and security exhibit a high degree of vulnerability to climate change impacts. This research evaluates climate impacts on the hydrology of the Dulong-Irrawaddy River Basin (DIRB) by using a physical-based hydrologic model. We crafted future climate scenarios using the three latest global climate models (GCMs) from Coupled Model Intercomparison Project 6 (CMIP6) under two shared socioeconomic pathways (SSP2-4.5 and SSP5-8.5) for the near (2025–2049), mid (2050–2074), and far future (2075–2099). The regional model using MIKE SHE based on historical hydrologic processes was developed to further project future streamflow, demonstrating reliable performance in streamflow simulations with a validation Nash-Sutcliffe Efficiency (NSE) of 0.72. Results showed that climate change projections showed increases in the annual precipitation and potential evapotranspiration (PET), with precipitation increasing by 11.3% and 26.1%, and PET increasing by 3.2% and 4.9%, respectively, by the end of the century under SSP2-4.5 and SSP5-8.5. These changes are projected to result in increased annual streamflow at all stations, notably at the basin’s outlet (Pyay station) compared to the baseline period (with an increase of 16.1% and 37.0% at the end of the 21st century under SSP2-4.5 and SSP5-8.5, respectively). Seasonal analysis for Pyay station forecasts an increase in dry-season streamflow by 31.3%–48.9% and 22.5%–76.3% under SSP2-4.5 and SSP5-8.5, respectively, and an increase in wet-season streamflow by 5.8%–12.6% and 2.8%–33.3%, respectively. Moreover, the magnitude and frequency of flood events are predicted to escalate, potentially impacting hydropower production and food security significantly. This research outlines the hydrological response to future climate change during the 21st century and offers a scientific basis for the water resource management strategies by decision-makers.
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References
Bhatta B, Shrestha S, Shrestha P K et al., 2019. Evaluation and application of a SWAT model to assess the climate change impact on the hydrology of the Himalayan River Basin. Catena, 181: 104082. doi: https://doi.org/10.1016/j.catena.2019.104082
Budhathoki S, Rokaya P, Lindenschmidt K E, 2022. Impacts of future climate on the hydrology of a transboundary river basin in northeastern North America. Journal of Hydrology, 605: 127317. doi: https://doi.org/10.1016/j.jhydrol.2021.127317
Duong D T, Tachikawa Y, Yorozu K, 2014. Changes in river discharge in the Indochina Peninsula region projected using MRI-AGCM and MTROC5 dataseis. Journal of Japan Society of Civil Engineers, 70(4): I_115–I_120. doi: https://doi.org/10.2208/jscejhe.70.I_115
Eckstein D, Künzel V, Schäfer L, 2021. Global Climate Risk Index 2021: who suffers most from extreme weather events? Weather-related loss events in 2019 and 2000–2019. Bonn, Germany: Germanwatch,5–13.
Eyring V, Bony S, Meehl G A et al., 2016. Overview of the coupled Model Intercomparison project phase 6 (CMIP6) experimental design and organization. Geoscientiflc Model Development, 9(5): 1937–1958. doi: https://doi.org/10.5194/gmd-9-1937-2016
Feng Yan, Wang Wenling, Suman D et al., 2019. Water cooperation priorities in the Lancang-Mekong River Basin based on cooperative events since the Mekong River Commission establishment. Chinese Geographical Science, 29(1): 58–69. doi: https://doi.org/10.1007/s11769-019-1016-4
Furuichi T, Win Z, Wasson R J, 2009. Discharge and suspended sediment transport in the Ayeyarwady River, Myanmar: centennial and decadal changes. Hydrological Processes, 23(11): 1631–1641. doi: https://doi.org/10.1002/hyp.7295
Giorgi F, Francisco R, 2000. Evaluating uncertainties in the prediction of regional climate change. Geophysical Research Letters, 27(9): 1295–1298. doi: https://doi.org/10.1029/1999GL011016
Hamed M M, Nashwan M S, Shahid S et al., 2022. Inconsistency in historical simulations and future projections of temperature and rainfall: a comparison of CMIP5 and CMIP6 models over Southeast Asia. Atmospheric Research, 265: 105927. doi: https://doi.org/10.1016/j.atmosres.2021.105927
Hargreaves G H, Samani Z A, 1985. Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1(2): 96–99. doi: https://doi.org/10.13031/2013.26773
He Xiaohui, Yu Yipin, Cui Zepeng et al., 2021. Climate change and ecological projects jointly promote vegetation restoration in three-river source region of China. Chinese Geographical Science, 31(6): 1108–1122. doi: https://doi.org/10.1007/s11769-021-1245-1
Hennig T, 2016. Damming the transnational Ayeyarwady basin. Hydropower and the water-energy nexus. Renewable and Sustainable Energy Reviews, 65: 1232–1246. doi: https://doi.org/10.1016/j.rser.2016.07.048
Hoan N X, Khoi D N, Nhi P T T, 2020. Uncertainty assessment of streamflow projection under the impact of climate change in the Lower Mekong Basin: a case study of the Srepok River Basin, Vietnam. Water and Environment Journal, 34(1): 131–142. doi: https://doi.org/10.1111/wej.12447
IPCC, 2021. Summary for policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Groupe I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and NewYork, USA: Cambridge University Press, 3–32.
International Finance Corporation, 2018. Strategic Environmental Assessment of the Myanmar Hydropower Sector. Yangon, Myanmar: International Finance Corporation. doi: https://doi.org/10.1596/31256
Iqbal Z, Shahid S, Ahmed K et al., 2021. Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia. Atmospheric Research, 254: 105525. doi: https://doi.org/10.1016/j.atmosres.2021.105525
Kuehl S A, Williams J, Liu J P et al., 2019. Sediment dispersal and accumulation off the Ayeyarwady delta —tectonic and oceanographic controls. Marine Geology, 417: 106000. doi: https://doi.org/10.1016/j.margeo.2019.106000
Li D, Marshall L, Liang Z et al., 2021. Characterizing distributed hydrological model residual errors using a probabilistic long short-term memory network. Journal of Hydrology, 603: 126888. doi: https://doi.org/10.1016/j.jhydrol.2021.126888
Martel J L, Brissette F, Troin M et al., 2022. CMIP5 and CMIP6 model projection comparison for hydrological impacts over North America. Geophysical Research Letters, 49(15): e2022GL098364. doi: https://doi.org/10.1029/2022GL098364
Moolman J, Adams G, Blakers R et al., 2017. Surface water resources and use baseline assessment. In: Win Hlaing U et al. (eds.). Ayeyarwady State of the Basin Assessment (SOBA). Myanmar: National Water Resources Committee (NWRC), 41, 183.
Moriasi D N, Arnold J G, Van Liew M W et al., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3): 885–900. doi: https://doi.org/10.13031/2013.23153
Mouri G, Nakano K, Tsuyama I et al., 2016. The effects of future nationwide forest transition to discharge in the 21st century with regard to general circulation model climate change scenarios. Environmental Research, 149: 288–296. doi: https://doi.org/10.1016/j.envres.2016.01.024
Myo H T, Zin W W, Shwe K P et al., 2020. Projecting the impact of climate change on temperature, precipitation, and discharge in the Bago River Basin. Journal of Disaster Research, 15(3): 324–334. doi: https://doi.org/10.20965/jdr.2020.p0324
Nachtergaele F, van Velthuizen H, Verelst L et al., 2010, Harmonized world soil database. In: Gilkes R J et al. (eds.). Proceedings of the 19th World Congress of Soil Science, Soil Solutions for a Changing World. Brisbane, Australia: International Union of Soil Sciences, 34–37.
Nash J E, Sutcliffe J V, 1970. River flow forecasting through conceptual models: part I-A discussion of principles. Journal of Hydrology, 10(3): 282–290. doi: https://doi.org/10.1016/0022-1694(70)90255-6
Nury A H, Sharma A, Marshall L et al., 2021. Modelling climate change impacts on the Brahmaputra streamflow resulting from changes in snowpack attributes. Journal of Hydrology, 603: 126998. doi: https://doi.org/10.1016/j.jhydrol.2021.126998
Oo H T, Zin W W, Kyi C C T, 2020. Analysis of streamflow response to changing climate conditions using SWAT model. Civil Engineering Journal, 6(2): 194–209. doi: https://doi.org/10.28991/cej-2020-03091464
Qi Qing, Zhang Mingye, Tong Shouzheng et al., 2022. Evolution of potential spatial distribution patterns of Carex tussock wetlands under climate change scenarios, Northeast China. Chinese Geographical Science, 32(1): 142–154. doi: https://doi.org/10.1007/S11769-022-1260-X
Ramteke G, Singh R, Chatterjee C, 2020. Assessing impacts of conservation measures on watershed hydrology using MIKE SHE model in the face of climate change. Water Resources Management, 34(13): 4233–4252. doi: https://doi.org/10.1007/s11269-020-02669-3
Refsgaard J C, Storm B, 1995. MIKE SHE. In: Singh V J (ed). Computer Models in Watershed Hydrology. Colorado, USA: Water Resources Publications, 809–846.
Refsgaard J C, Storm B, Clausen T, 2010. Système Hydrologique Europeén (SHE): review and perspectives after 30 years development in distributed physically-based hydrological modelling. Hydrology Research, 41(5): 355–377. doi: https://doi.org/10.2166/nh.2010.009
Salvador C, Nieto R, Linares C et al., 2020. Effects of droughts on health: diagnosis, repercussion, and adaptation in vulnerable regions under climate change. Challenges for future research. Science of the Total Environment, 703: 134912. doi: https://doi.org/10.1016/j.scitotenv.2019.134912
Saxton K E, Willey P H, 2005. The SPAW model for agricultural field and pond hydrologic simulation. In: Singh V P, Frevert D K (eds). Watershed Models. Boca Raton, Florida, USA: CRC Press, 400–435.
Shrestha S, Imbulana N, Piman T et al., 2020. Multimodelling approach to the assessment of climate change impacts on hydrology and river morphology in the Chindwin River Basin, Myanmar. Catena, 188: 104464. doi: https://doi.org/10.1016/j.catena.2020.
Singh R, Kayastha S P, Pandey V P, 2022. Climate change and river health of the Marshyangdi Watershed, Nepal: an assessment using integrated approach. Environmental Research, 215: 114104. doi: https://doi.org/10.1016/j.envres.2022.114104
Sirisena T A J G, Maskey S, Bamunawala J et al., 2021. Climate change and reservoir impacts on 21st-century streamflow and fluvial sediment loads in the Irrawaddy River, Myanmar. Frontiers in Earth Science, 9: 644527. doi: https://doi.org/10.3389/feart.2021.644527
Sirisena T A J G, Maskey S, Ranasinghe R et al., 2018. Effects of different precipitation inputs on streamflow simulation in the Irrawaddy River Basin, Myanmar. Journal of Hydrology:Regional Studies, 19: 265–278. doi: https://doi.org/10.1016/j.ejrh.2018.10.005
Sishodia R P, Shukla S, Warn S P et al., 2018. Future irrigation expansion outweigh groundwater recharge gains from climate change in semi-arid India. Science of the Total Environment, 635: 725–740. doi: https://doi.org/10.1016/j.scitotenv.2018.04.130
Stisen S, Jensen K H, Sandholt I et al., 2008. A remote sensing driven distributed hydrological model of the Senegal River Basin. Journal of Hydrology, 354(1–4): 131–148. doi: https://doi.org/10.1016/j.jhydrol.2008.03.006
Supharatid S, Nafung J, Aribarg T, 2022. Projected changes in temperature and precipitation over mainland Southeast Asia by CMIP6 models. Journal of Water and Climate Change, 13(1): 337–356. doi: https://doi.org/10.2166/wcc.2021.015
Taft L, Evers M, 2016. A review of current and possible future human-water dynamics in Myanmar’s river basins. Hydrology and Earth System Sciences, 20(12): 4913–4928. doi: https://doi.org/10.5194/hess-20-4913-2016
Thompson J R, Green A J, Kingston D G et al., 2013. Assessment of uncertainty in river flow projections for the Mekong River using multiple GCMs and hydrological models. Journal of Hydrology, 486: 1–30. doi: https://doi.org/10.1016/j.jhydrol.2013.01.029
Try S, Tanaka S, Tanaka K et al., 2022. Comparison of CMIP5 and CMIP6 GCM performance for flood projections in the Mekong River Basin. Journal of Hydrology: Regional Studies, 40: 101035. doi: https://doi.org/10.1016/j.ejrh.2022.101035
Ukkola A M, De Kauwe M G, Roderick M L et al., 2020. Robust future changes in meteorological drought in CMIP6 projections despite uncertainty in precipitation. Geophysical Research Letters, 47(11): e2020GL087820. doi: https://doi.org/10.1029/2020GL087820
Xiao Senyuan, Yang Guang, He Xinlin et al., 2021. Calibration of hydrological modelling by MIKE SHE for the Manas River Basin, Xinjiang, China. Mountain Research, 39(1): 1–9. (in Chinese)
Zhang Kexin, Dai Shengpei, Dong Xiaogang, 2020. Dynamic variability in daily temperature extremes and their relationships with large-scale atmospheric circulation during 1960–2015 in Xinjiang, China. Chinese Geographical Science, 30(2): 233–248. doi: https://doi.org/10.1007/s11769-020-1106-3
Zhang W X, Furtado K, Zhou T J et al., 2022. Constraining extreme precipitation projections using past precipitation variability. Nature Communications, 13(1): 6319. doi: https://doi.org/10.1038/S41467-022-34006-0
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XU Ziyue: data analysis, investigation, writing-Original draft preparation; MA Kai: conceptualization, methodology, review & editing, supervision; YUAN Xu: software; HE Darning: review & editing, funding acquisition. All authors have read and approved the final manuscript.
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Foundation item: Under the auspices of the Yunnan Scientist Workstation on International River Research of Darning He (No. KXJGZS-2019-005), National Natural Science Foundation of China (No. 42201040), National Key Research and Development Project of China (No. 2016YFA0601601), China Postdoctoral Science Foundation (No. 2023M733006)
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Xu, Z., Ma, K., Yuan, X. et al. Hydrologic Response to Future Climate Change in the Dulong-Irrawaddy River Basin Based on Coupled Model Intercomparison Project 6. Chin. Geogr. Sci. 34, 294–310 (2024). https://doi.org/10.1007/s11769-024-1420-2
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DOI: https://doi.org/10.1007/s11769-024-1420-2