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Quantifying the Relative Contribution of Climate and Human Impacts on Runoff Change Based on the Budyko Hypothesis and SVM Model

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Abstract

The Wei River Basin (WRB), the largest tributary of the Yellow River in China, has experienced a noticeable decrease in annual runoff during the last 50 years. Quantifying the relative contributions of climate change and human activities on runoff changes is thus important for local water resources management and sustainable water resources utilizations. In this study, the heuristic segmentation method was first adopted to detect the change points of annual runoff at Linjiacun and Huaxian stations which lies in the middle and lower reaches of the basin, respectively. Then, the Budyko hypothesis and SVM-based model were applied to attribute the detected runoff changes to climate change and human activities. Results showed that: (1) two change points were detected for the annual runoff at the Linjiacun station (1971 and 1993), and Huaxian station (1969 and 1993); (2) based on the Budyko hypothesis, the relative contributions of climate change and human activities to runoff changes at Linjiacun and Huaxian stations are 42.2 %, 57.8 % and 30.5 %, 69.8 %, respectively, whilst those based on the SVM-based model are 45.3 %, 54.7 % and 34.7 %, 65.3 %, respectively. The high consistence between the two approaches indicates that human activities are the dominate factor on historical runoff changes in the WRB.

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References

  • Allen RG, Pereira LS, Raes D et al. (1998) Crop Evapotranspiration Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56. FAO, Rome

  • Bae D, Koike T, Awan JA et al (2015) Climate change impact assessment on water resources and susceptible zones identification in the Asian monsoon region. Water Resour Manag 29(14):5377–5393

    Article  Google Scholar 

  • Bates BC, Kundzewicz ZW, Palutikof J (2008) Climate change and water. Technical Paper of the Intergovernmental Panel on Climate Change. IPCC Secretariat, Geneva, p 210

    Google Scholar 

  • Beven KJ (2001) Rainfall–runoff modeling. Wiley, Chichester

    Google Scholar 

  • Brown A, Zhang L, McMahon T et al (2005) A review of paired catchment studies with reference to the seasonal flows and climate variability. J Hydrol 310:28–61

    Article  Google Scholar 

  • Budyko MI (1974) Climate and life. Academic, San Diego

    Google Scholar 

  • Chang J, Wang YM, Istanbulluoglu E et al (2015) Impact of climate change and human activities on runoff in the Weihe river basin, China. Quat Int 380–381:169–179

    Article  Google Scholar 

  • Choudhury BJ (1999) Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model. J Hydrol 216:99–110

    Article  Google Scholar 

  • Dooge J (1992) Sensitivity of runoff to climate change: a Hortonian approach. Bull Am Meteorol Soc 73:2013–2024

    Article  Google Scholar 

  • Fu BP (1981) On the calculation of the evaporation from land surface. Scientia Atmospherica Sinica 5(1):23–31 (In Chinese)

    Google Scholar 

  • Gao JB, Gunn SR, Harris CJ et al (2001) A probabilistic framework for SVM regression and error bar estimation. Mach Learn 46:71–89

    Article  Google Scholar 

  • Huang Q, Fan JJ (2013) Detecting runoff variation of the mainstream in Weihe river. J Appl Math. doi:10.1155/2013/356474

    Google Scholar 

  • Huang SZ, Chang JX, Huang Q et al (2014a) Spatio-temporal changes and frequency analysis of drought in the Wei river basin, China. Water Resour Manag 28(10):3095–3110

    Article  Google Scholar 

  • Huang SZ, Chang JX, Huang Q et al (2014b) Spatio-temporal changes in potential evaporation based on entropy across the Wei river basin. Water Resour Manag 28(13):4599–4613

    Article  Google Scholar 

  • Huang SZ, Chang JX, Huang Q et al (2014c) Monthly streamflow prediction using modified EMD-based support vector machine. J Hydrol 511:764–775

    Article  Google Scholar 

  • Huang SZ, Huang Q, Chang JX et al (2015a) Copulas-based drought evolution characteristics and risk evaluation in a typical arid and semi-arid region. Water Resour Manag 29:1489–1503

    Article  Google Scholar 

  • Huang SZ, Chang JX, Huang Q et al (2015b) Identification of abrupt changes of the relationship between rainfall and runoff in the Wei river basin, China. Theor Appl Climatol 120(1–2):299–310

    Article  Google Scholar 

  • Huntington TG (2006) Evidence for intensification of the global water cycle: review and synthesis. J Hydrol 319:83–95

    Article  Google Scholar 

  • IPCC (2007) Climate change 2007: synthesis report. Contribution of working groups I. II and III to the Forth assessment report of the Intergovernmental Panel on Climate Change IPCC, Geneva, Switzerland, p 104

    Google Scholar 

  • Karamouz M, Ahmadi A, Moridi A (2009) Probabilistic reservoir operation using Bayesian stochastic model and support vector machine. Adv Water Resources Manag 32(11):1588–1600

    Article  Google Scholar 

  • Kezer K, Matsuyama H (2006) Decrease of river runoff in the Lake Balkhash basin in central Asia. Hydrol Process 20(6):1407–1423

    Article  Google Scholar 

  • Leng G, Huang M, Tang Q et al (2013) Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: sensitivity to input data and model parameters. J Geophys Res-Atmos 118:9789–9803

    Article  Google Scholar 

  • Leng G, Huang M, Tang Q et al (2014) Modeling the effects of groundwater-Fed irrigation on terrestrial hydrology over the conterminous united states. J Hydrometeorol 15:957–972

    Article  Google Scholar 

  • Li LJ, Zhang L, Wang H et al (2007) Assessing the impact of climate variability and human activities on streamflow from the wuding river basin in China. Hydrol Process 21:3485–3491

    Article  Google Scholar 

  • Li JZ, Li GQ, Zhou SH et al (2016) Quantifying the effects of land surface change on annual runoff considering precipitation variability by SWAT. Water Resour Manag 30(3):1071–1084

    Article  Google Scholar 

  • Lin GF, Chou YC, Wu MC (2013) Typhoon flood forecasting using integrated two-stage support vector machine approach. J Hydrol 486:334–342

    Article  Google Scholar 

  • Liu Q, Liang LQ (2015) Impacts of climate change on the water balance of a large nonhumid natural basin in China. Theor Appl Climatol 121(3):489–497

    Article  Google Scholar 

  • Miao C, Ni J, Borthwick AGL et al (2011) A preliminary estimate of human and natural contributions to the changes in water discharge and sediment load in the Yellow River. Glob Planet Chang 76:196–205

    Article  Google Scholar 

  • Milly PCD (1994) Climate, soil water storage, and the average annual water balance. Water Resour Res 30:2143–2156

    Article  Google Scholar 

  • Pedro BG, Plamen CI, Luís A (2001) Scale invariance in the nonstationarty of human heart rate. Phys Rev Lett 87(16):160815

    Google Scholar 

  • Roderick M, Farquhar G (2011) A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties. Water Resour. Res. 47:W00G07

  • Seibert J, McDonnell JJ (2010) Land-cover impacts on streamflow: a change-detection modelling approach that incorporates parameter uncertainty. Hydrol Sci J 55(3):316–332

    Article  Google Scholar 

  • Vapnik V (1995) The nature of statistical learning theory. Springer Verlag, New York

    Book  Google Scholar 

  • Vapnik VN (1998) Statistical learning theory. Wiley, New York

    Google Scholar 

  • Wang GQ, Zhang JY, He RM (2006) Impacts of environmental change on runoff in Fenhe river basin of the middle yellow river. Adv Water Sci 17(6):851–858 (in Chinese)

    Google Scholar 

  • Wang GS, Xia J, Chen J (2009) 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 Resources Research 45: W00A11

  • Wang SJ, Yan M, Yan YX et al (2012) Contributions of climate change and human activities to the changes in runoff increment in different sections of the Yellow River. Quat Int 282:66–77

    Article  Google Scholar 

  • Ye XC, Zhang Q, Liu J et al (2013) Distinguishing the relative impacts of climate change and human activities on variation of streamflow in the Poyang lake catchment, China. J Hydrol 494:83–95

    Article  Google Scholar 

  • YRCC (Yellow River Conservancy Commission) (2001) Yellow river water resources bulletin. China WaterPower Press, Beijing (in Chinese)

    Google Scholar 

  • Zhang SF, Hua D, Meng X et al (2011a) Climate change and its driving effect on the runoff in the “three-river headwaters” region. J Geogr Sci 21(6):963–978

    Article  Google Scholar 

  • Zhang ZX, Chen X, Xu CY et al (2011b) Evaluating the non-stationary relationship between precipitation and streamflow in nine major basins of China during the past 50 years. J Hydrol 409:81–93

    Article  Google Scholar 

  • Zhang AJ, Zhang C, Fu GB et al (2012) Assessments of impacts of climate change and human activities on runoff with SWAT for the Huifa river basin, Northeast China. Water Resour Manag 26(8):2199–2217

    Article  Google Scholar 

  • Zuo PD, Xu ZX, Wu W et al (2014) Identification of streamflow response to climate change and human activities in the Wei river basin, China. Water Resour Manag 28:833–851

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by National Department Public Benefit Research Foundation of Ministry of Water Resources (201501058) and the National Major Fundamental Research Program (2011CB403306-2). Sincere gratitude is extended to editor and anonymous reviewers for their professional comments and corrections, which greatly improved the presentation of the paper.

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Correspondence to Shengzhi Huang.

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Huang, S., Chang, J., Huang, Q. et al. Quantifying the Relative Contribution of Climate and Human Impacts on Runoff Change Based on the Budyko Hypothesis and SVM Model. Water Resour Manage 30, 2377–2390 (2016). https://doi.org/10.1007/s11269-016-1286-x

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  • DOI: https://doi.org/10.1007/s11269-016-1286-x

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