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Impacts of climate change and LULC change on runoff in the Jinsha River Basin

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Abstract

The climate change and Land Use/Land Cover (LULC) change both have an important impact on the rainfall-runoff processes. How to quantitatively distinguish and predict the impacts of the above two factors has been a hot spot and frontier issue in the field of hydrology and water resources. In this research, the SWAT (Soil and Water Assessment Tool) model was established for the Jinsha River Basin, and the method of scenarios simulation was used to study the runoff response to climate change and LULC change. Furthermore, the climate variables exported from 7 typical General Circulation Models (GCMs) under RCP4.5 and RCP8.5 emission scenarios were bias corrected and input into the SWAT model to predict runoff in 2017–2050. Results showed that: (1) During the past 57 years, the annual average precipitation and temperature in the Jinsha River Basin both increased significantly while the rising trend of runoff was far from obvious. (2) Compared with the significant increase of temperature in the Jinsha River Basin, the LULC change was very small. (3) During the historical period, the LULC change had little effect on the hydrological processes in the basin, and climate change was one of the main factors affecting runoff. (4) In the context of global climate change, the precipitation, temperature and runoff in the Jinsha River Basin will rise in 2017–2050 compared with the historical period. This study provides significant references to the planning and management of large-scale hydroelectric bases at the source of the Yangtze River.

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References

  • Abbaspour K C, Yang J, Maximov I et al., 2007. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. Journal of Hydrology, 333(2-4): 413–430.

    Article  Google Scholar 

  • Arnold J G, Srinivasan R, Muttiah R S et al., 1998. Large area hydrologic modeling and assessment (Part 1): Model development. Journal of the American Water Resources Association, 34(1): 73–89.

    Article  Google Scholar 

  • Awan U K, Liaqat U W, Choi M et al., 2016. A SWAT modeling approach to assess the impact of climate change on consumptive water use in Lower Chenab Canal area of Indus basin. Hydrology Research, 47(5): 1025–1037.

    Article  Google Scholar 

  • Chen J, Brissette F P, Chaumont D et al., 2013. Performance and uncertainty evaluation of empirical downscaling methods in quantifying the climate change impacts on hydrology over two North American river basins. Journal of Hydrology, 479(5): 200–214.

    Article  Google Scholar 

  • Chen J, Brissette F P, Leconte R, 2011. Uncertainty of downscaling method in quantifying the impact of climate change on hydrology. Journal of Hydrology, 401(3/4): 190–202.

    Article  Google Scholar 

  • Chen L, Chang J, Wang Y et al., 2018. Assessing runoff sensitivities to precipitation and temperature changes under global climate-change scenarios. Hydrology Research, 50(1): 24–42. doi: 10.2166/nh.2018.192.

    Article  Google Scholar 

  • da Silva R M, Dantas J C, Beltrão J D A et al., 2018. Hydrological simulation in a tropical humid basin in the Cerrado biome using the SWAT model. Hydrology Research, 49(3): 908–923.

    Article  Google Scholar 

  • Du J, Shi C, Zhang C, 2013. Modeling and analysis of effects of precipitation and vegetation coverage on runoff and sediment yield in Jinsha River Basin. Water Science and Engineering, 6(1): 44–58.

    Google Scholar 

  • Gao C, Ruan T, 2018. The influence of climate change and human activities on runoff in the middle reaches of the Huaihe River Basin, China. Journal of Geographical Sciences, 28(1): 79–92.

    Article  Google Scholar 

  • Gao C, Zhang Z, Zhai J et al., 2015. Research on meteorological thresholds of drought and flood disaster: A case study in the Huai River Basin, China. Stochastic Environmental Research and Risk Assessment, 29(1): 157–167.

    Article  Google Scholar 

  • Gassman P W, Reyes M R, Green C H et al., 2007. The soil and water assessment tool: Historical development, applications, and future research directions. Transactions of the ASABE, 50(4): 1211–1250.

    Article  Google Scholar 

  • Guo J, Zhang Z, Wang S et al., 2012. Effects of climate and land use changes on stream flow and sediment yield in Chaohe river basin. Transactions of the Chinese Society of Agricultural Engineering, 28(14): 236–243. (in Chinese)

    Google Scholar 

  • Guo J, Zhang Z, Wang S et al., 2014. Appling SWAT model to explore the impact of changes in land use and climate on the streamflow in a watershed of northern China. Acta Ecologica Sinica, 34(6): 1559–1567. (in Chinese)

    Google Scholar 

  • Hamed K H, 2008. Trend detection in hydrologic data: The Mann-Kendall trend test under the scaling hypothesis. Journal of Hydrology, 349(3/4): 350–363.

    Google Scholar 

  • Hao F, Chen L, Liu C et al., 2010. Impact of land use change on runoff and sediment yield. Journal of Soil Water Conservation, 18(3): 5–8. (in Chinese)

    Google Scholar 

  • Immerzeel W W, Pellicciotti F, Bierkens M F P, 2013. Rising river flows throughout the twenty-first century in two Himalayan glacierized watersheds. Nature Geoscience, 6(9): 742–745.

    Article  Google Scholar 

  • Kendall M G, 1975. Rank Correlation Methods. London: Griffin.

    Google Scholar 

  • Li D, Wu Y, Liu C, 2005. Runoff simulation with physical-based distributed hydrological model. Scientia Geo-graphica Sinica, 25(3): 299–304. (in Chinese)

    Google Scholar 

  • Li J, Zhang X, Yang Y, 2012. SWAT model of runoff study under different land use land cover scenarios in source region of the Yangtze River. Research of Soil & Water Conservation, 19(3): 119–129. (in Chinese)

    Google Scholar 

  • Li Y, Chang J, Luo L et al., 2018. Spatiotemporal impacts of land use land cover changes on hydrology from the mechanism perspective using SWAT model with time-varying parameters. Hydrology Research, 50(1): 244–261. doi:10.2166/nh.2018.006.

    Article  Google Scholar 

  • Li Z, Liu W, Zhang X et al., 2009. Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China. Journal of Hydrology, 377(1/2): 35–42.

    Article  Google Scholar 

  • Liang Z, Tang T, Li B et al., 2017. Long-term streamflow forecasting using SWAT through the integration of the random forests precipitation generator: Case study of Danjiangkou Reservoir. Hydrology Research, 49(5): 1513–1527. doi: 10.2166/nh.2017.085.

    Google Scholar 

  • Liu C, Li D, Tian Y et al., 2003. An application study of DEM based distributed hydrological model on macro-scale watershed. Progress in Geography, 22(5): 437–445. (in Chinese)

    Google Scholar 

  • Liu X, Li X, Shi X et al., 2008. Simulating complex urban development using kernel-based non-linear cellular automata. Ecological Modelling, 211(1/2): 169–181.

    Article  Google Scholar 

  • Liu X, Peng D, Xu Z, 2017. Identification of the impacts of climate changes and human activities on runoff in the Jinsha River Basin, China. Advances in Meteorology, 2017: 1–9.

    Google Scholar 

  • Liu Z, Yao Z, Huang H et al., 2014. Land use and climate changes and their impacts on runoff in the Yarlung Zangbo River Basin, China. Land Degradation & Development, 25(3): 203–215.

    Article  Google Scholar 

  • Lu J, Cui X, Chen X et al., 2016. Evaluation of hydrological response to extreme climate variability using SWAT model: Application to the Fuhe basin of Poyang Lake Watershed, China. Hydrology Research, 48(6): 1730–1744.

    Article  Google Scholar 

  • Luo Q, Wang K, Wang Q, 2011. Using SWAT to simulate runoff under different land use scenarios in Xiangjiang River Basin. Chinese Journal of Eco-Agriculture, 19(6): 1431–1436. (in Chinese)

    Article  Google Scholar 

  • Mann H B, 1945. Nonparametric tests against trend. Econometrica, 13(3): 245–259.

    Article  Google Scholar 

  • Mu X, Wang F, Li J et al., 2004. Review of evaluation method of impact of soil and water conservation practices on river flows. Bulletin of Soil & Water Conservation, (3): 73–78. (in Chinese)

    Google Scholar 

  • Ozturk M, Copty N K, Saysel A K, 2013. Modeling the impact of land use change on the hydrology of a rural watershed. Journal of Hydrology, 497: 97–109.

    Article  Google Scholar 

  • Pan S, Liu D, Wang Z et al., 2017. Runoff responses to climate and land use/cover changes under future scenarios. Water, 9(7): 475. doi: 10.3390/w9070475.

    Article  Google Scholar 

  • Pan Z, Ruan X, Qian M et al., 2018. Spatiotemporal variability of streamflow in the Huaihe River Basin, China: Climate variability or human activities? Hydrology Research, 49(1): 177–193.

    Article  Google Scholar 

  • Piao S, Ciais P, Huang Y et al., 2010. The impacts of climate change on water resources and agriculture in China. Nature, 467(7311): 43–51.

    Article  Google Scholar 

  • Singh H V, Kalin L, Morrison A et al., 2015. Post-validation of SWAT model in a coastal watershed for predicting land use/cover change impacts. Hydrology Research, 46(6): 837–853.

    Google Scholar 

  • Song M, Li T, Chen J, 2012. Preliminary analysis of precipitation runoff features in the Jinsha River Basin. Procedia Engineering, 28(10): 688–695.

    Google Scholar 

  • Taylor K E, Stouffer R J, Meehl G A, 2012. An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society, 93(4): 485–498.

    Article  Google Scholar 

  • Vuuren D P V, Edmonds J, Kainuma M et al., 2011. The representative concentration pathways: An overview. Climatic Change, 109(1/2): 5–31.

    Google Scholar 

  • Wang F, Ge Q, Yu Q et al., 2017a. Impacts of land-use and land-cover changes on river runoff in Yellow River basin for period of 1956–2012. Chinese Geographical Science, 27(1): 13–24.

    Article  Google Scholar 

  • Wang H, Sun F, Xia J et al., 2017b. Impact of LUCC on streamflow based on the SWAT model over the Wei River basin on the Loess Plateau in China. Hydrology and Earth System Sciences, 21(4): 1929–1945.

    Article  Google Scholar 

  • Wang S, Zhang X, 2012. Long-term trend analysis for temperature in the Jinsha River Basin in China. Theoretical and Applied Climatology, 109(3/4): 591–603.

    Article  Google Scholar 

  • Xia J, Wang M, 2008. Runoff changes and distributed hydrologic simulation in the upper reaches of Yangtze River. Resources Science, 30(7): 962–967. (in Chinese)

    Google Scholar 

  • Yang P, Xia J, Zhan C et al., 2018. Separating the impacts of climate change and human activities on actual evapotranspiration in Aksu River Basin ecosystems, Northwest China. Hydrology Research, 49(6): 1740–1752. doi: 10.2166/nh.2018.136.

    Article  Google Scholar 

  • Yang Y, Lu G, Wu Z et al., 2012. Variation characteristics analysis of hydrological cycle factors in upper reaches of Jinshajiang Basin. Water Resources & Power, 30(3): 8–10. (in Chinese)

    Google Scholar 

  • Yin J, He F, Xiong Y et al., 2017. Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in northwest China. Hydrology and Earth System Sciences, 21(1): 183–196.

    Article  Google Scholar 

  • Yuan Y, Zhang Z, Meng J, 2015. Impact of changes in land use and climate on the runoff in Liuxihe Watershed based on SWAT model. Chinese Journal of Applied Ecology, 26(4): 989–998. (in Chinese)

    Google Scholar 

  • Yue S, Pilon P, Cavadias G, 2002a. Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series. Journal of Hydrology, 259(1): 254–271.

    Article  Google Scholar 

  • Yue S, Pilon P, Phinney B et al., 2002b. The influence of autocorrelation on the ability to detect trend in hydro-logical series. Hydrological Processes, 16(9): 1807–1829.

    Article  Google Scholar 

  • Zhang A, Zhang C, Fu G et al., 2012. Assessments of impacts of climate change and human activities on runoff with SWAT for the Huifa River Basin, Northeast China. Water Resources Management, 26(8): 2199–2217.

    Article  Google Scholar 

  • Zhang L, Pang B, Xu Z et al., 2014. Impacts of climate change and LUCC on hydrological processes in the Gulang River Basin. South-to-North Water Transfers and Water Science & Technology, 12(1): 42–46. (in Chinese)

    Google Scholar 

  • Zhao Y, Yu X, Zheng J et al., 2012. Quantitative effects of climate variations and land-use changes on annual streamflow in Chaobai river basin. Transactions of the Chinese Society of Agricultural Engineering, 28(22): 252–260. (in Chinese)

    Google Scholar 

  • Zhuo G, Jian J, Bianbaciren, 2011. Runoff of the Jinsha River: Characteristics and its response to climate change. Journal of Glaciology & Geocryology, 33(2): 405–415. (in Chinese)

    Google Scholar 

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Correspondence to Hua Chen.

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Foundation: National Key Research and Development Program of China, No.2017YFA0603702; National Natural Science Foundation of China, No.51539009, No.51339004

Author: Chen Qihui (1995-), specialized in runoff response to land use change and climate change.

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Chen, Q., Chen, H., Zhang, J. et al. Impacts of climate change and LULC change on runoff in the Jinsha River Basin. J. Geogr. Sci. 30, 85–102 (2020). https://doi.org/10.1007/s11442-020-1716-9

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  • DOI: https://doi.org/10.1007/s11442-020-1716-9

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