Spatial and temporal variations in hydro-climatic variables and runoff in response to climate change in the Luanhe River basin, China
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Climate change in North China would result in significant changes in temperature, precipitation and their spatial/temporal distributions. Consequently, these induced changes will have profound effects on the hydrological cycle and water resources in both agricultural and natural ecosystems. Panjiakou reservoir in the middle Luanhe River basin—a tributary of the Haihe River basin—is one of the important sources of water for industrial and agricultural development in Beijing, Tianjin and Hebei province, China. Any significant change in the magnitude and/or timing of runoff from the reservoir induced by changes in climatic variables would have significant implication for the economic prosperity in North China. This paper investigates the impacts of climate change on hydrological processes in the Luanhe River basin as follows. Firstly, spatial and temporal patterns of precipitation, temperature and runoff at both annual and seasonal scales from 1957 to 2000 in the Luanhe River basin are analyzed using Mann–Kendall trend analysis, linear regression methods and inverse distance weighted interpolation. For the impact study, four Global Climate Models (GCMs) (named CSIRO, HadCM3, CNRM and GFDL) were used to produce precipitation and temperature data under A2 scenario by mean of a widely used quantile–quantile transformation. Projected meteorological variables were used to force a two-parameter hydrologic model to simulate the hydrological response to climate change in the future (2021–2050). Moreover, a sensitivity analysis is conducted to assess how precipitation and temperature affect the runoff. Results suggested that most part of the Luanhe River basin was dominated by significant increasing trends of temperature and no significant trends of precipitation in annual and seasonal scale during the past decades. Annual, spring and autumn runoffs present significant decreasing trends in the Panjiakou reservoir basin. Meanwhile, runoff is more strongly related to precipitation than to temperature. All GCMs projected precipitation and temperature series after bias correction indicated increasing temperature and increasing precipitation trends for the period 2021–2050 except that CNRM showed a slight decreasing trend in precipitation. Great enhancements can be found in projected runoff except CNRM by driving the two-parameter water balance model. The study provides valuable information on the assessment of the impact of the climate change on water resources in the Luanhe River basin as well for allocating and designing water resources projects.
KeywordsClimate change Luanhe River basin Bias correction Sensitivity analysis Panjiakou reservoir
This work was financed by the National Key Technologies Research and Development Program of China during the 12th Five-year Plan Period (2013BAC10B01), the National Natural Science Foundation of China (51379057), Commonweal Program of Chinese Ministry of Water Resources (201301014), the Program for Graduate Education Innovation Project in Jiangsu Province (CXLX13_241), QingLan Project, the Fund of Advanced Science and Technology Innovation in Colleges and Universities in Jiangsu Province, the Program for Distinguished Talents in Hohai University, a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). Moreover, cordial thanks should be extended to the associated editor and two anonymous referees for their valuable comments which greatly improved the quality of this paper.
- Ahn KH, Merwade V (2014) Quantifying the relative impact of climate and human activities on streamflow. J Hydrol 515:257–266Google Scholar
- IPCC (2007) Summary for policymakers. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Avery KB, Tignor M, Miller HL (eds) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, United Kingdom.Google Scholar
- Kendall MG (1975) Rank correlation methods. Griffin, London, UKGoogle Scholar
- Peng DZ, Xu ZX (2010) Simulating the impact of climate change on streamflow in the Tarim River Basin by using a modified semi-distributed monthly water balance model. Hydrol Process 24:209–216Google Scholar
- Wang S, Huang R, Ding Y, Leung L, Wigmosta M, Vail L (2002) Numerical simulation experiments by nesting hydrology model DHSVM with Regional Climate Model RegCM2/China. Acta Meteorologica Sinica 60(4):421–427Google Scholar
- Wang W, Shao Q, Peng S, Xing W, Yang T, Luo Y, Yong B, Xu J (2012b) Reference evapotranspiration change and the causes across the Yellow River Basin during 1957–2008 and their spatial and seasonal differences. Water Resour Res 48:W05530Google Scholar
- Wilby RL, Charles SP, Zorita E, Timbal B, Whetton P, Mearns LO (2004) Guidelines for use of climate scenarios developed from statistical downscaling methods. Supporting material of the intergovernmental panel on climate change (IPCC), prepared on behalf of task group on data and scenario support for impacts and climate analysis (TGICA). (http://ipccddc.cur.uea.ac.uk/guidelines/StatDown_Guide.pdf) Accessed 15 April 2004
- Xiang L, Liu X, Hao L, Zhang J, Shi Y (2011) Analysis of runoff characteristics of Luanhe river under various emission scenarios in the next century. Prog Geogr 30(7):861–867 (in Chinese with English abstract)Google Scholar
- Xiong L, Guo S (1997) Water balance models and application in China. J Adv Water Sci 7:74–78 (in Chinese with English abstract)Google Scholar
- Xu C-Y, Singh VP (1998) A review on monthly water balance models for water resources investigation and climatic impact assessment. Water Resour Manage 12:31–50Google Scholar
- Zhang L, Zeng S, Wang R, Xia J (2011) Impacts of climate change on the hydrological cycle in the Luan River basin. Resour Sci 33(5):966–974 (in Chinese with English abstract)Google Scholar