Skip to main content

Advertisement

Log in

Comparative investigation on the decreased runoff between the water source and destination regions in the middle route of China’s South-to-North Water Diversion Project

  • Original Paper
  • Published:
Stochastic Environmental Research and Risk Assessment Aims and scope Submit manuscript

Abstract

Investigation on decreased runoff and driving forces in the water source and water destination catchments is vital to the water resources protection and water supply security assurance. Danjiangkou Reservoir Basin (DRB) and Miyun Reservoir Basin (MRB) are the water source and water destination regions for the middle route of South-to-North Water Diversion Project (MSNWDP) in China. Variations in runoff and driving forces behind these variations during 1960–2005 in the DRB and the MRB were comparatively analyzed and investigated by the climate elasticity method based on the Budyko hypothesis. The results showed that the runoff change process was diagnosed as the same three sub-periods (1960–1979, 1980–1989, and 1990–2005) by the cumulative anomaly analysis. The variations in the runoff exhibited large fluctuations with an overall decreasing trend of −2.5 mm/year in the DRB and −1.1 mm/year in the MRB. The variations in average annual runoff among the three sub-periods had significant differences in magnitude and direction. The runoff in the DRB increased by 81.6 mm during 1980–1989, and decreased by 67.1 mm during 1990–2005. However, the decreased runoff in the MRB during 1980–1989 and 1990–2005 were 37.3 and 31.7 mm, respectively. The specific spatio-temporal differences of climate factors (precipitation and potential evapotranspiration) and catchment characteristics jointly resulted in the differences of the runoff change. The climate elasticity method revealed that the leading factors to runoff changes in the three sub-periods had significant differences. The climate factors were the leading factors before 1990, however, the human activities became more intensive to be the leading factors after 1999. The relative contributions of climate factors and catchment characteristics to runoff change varied from (88.5%, 8.2%) during 1980–1989 to (30.9%, 73.9%) during 1990–2005 in the DRB. However, in the MRB, the relative contributions were from (51.0%, 48.2%) during 1980–1989 to (−8.0%, 110.0%) during 1990–2005. An effective way to reduce risk is to take the dynamic or elastic water resources management and the differentiated protection measures. In addition, green water management, the water demand management and saving water both in the water source regions and in the water destination regions of the MSNWDP are recommended and persistently advocated to reduce water consumption.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56 FAO. Rome 300:D05109

    Google Scholar 

  • Arora VK (2002) The use of the aridity index to assess climate change effect on annual runoff. J Hydrol 265:164–177

    Article  Google Scholar 

  • Berghuijs W, Woods R, Hrachowitz M (2014) A precipitation shift from snow towards rain leads to a decrease in streamflow. Nat Clim Change 4:583–586

    Article  Google Scholar 

  • Budyko MI (1948) Evaporation under natural conditions. Gidrometeorizdat, Leningrad English translation by IPST

    Google Scholar 

  • Budyko MI (1974) Climate and life. Academic Press, New York

    Google Scholar 

  • Chiew F, Zhou S, McMahon T (2003) Use of seasonal streamflow forecasts in water resources management. J Hydrol 270:135–144

    Article  Google Scholar 

  • Choudhury B (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 

  • Dong WF, Li X (2006) Analysis of water resource of Miyun reservoir in Chaobai river basin. Environ Sci Technol 29:58–60

    Google Scholar 

  • Dooge J, Bruen M, Parmentier B (1999) A simple model for estimating the sensitivity of runoff to long-term changes in precipitation without a change in vegetation. Adv Water Resour 23:153–163

    Article  Google Scholar 

  • Foley JA et al (2005) Global consequences of land use. Science 309:570–574

    Article  CAS  Google Scholar 

  • Fu BP (1981) On the calculation of the evaporation from land surface. Sci Atmos Sin 5:23–31 (in Chinese)

    Google Scholar 

  • Fu G, Charles SP, Chiew FH (2007) A two-parameter climate elasticity of streamflow index to assess climate change effects on annual streamflow. Water Resour Res 43:2578–2584

    Article  Google Scholar 

  • Gibbs PH (2012) Introduction to linear regression analysis. Technometrics 25:2775–2776

    Google Scholar 

  • Gleick PH (1993) Water and conflict: fresh water resources and international security. Int Secur 18:79–112

    Article  Google Scholar 

  • Hanna E et al (2010) Increased runoff from melt from the Greenland Ice Sheet: a response to global warming. J Clim 21:331–341

    Article  Google Scholar 

  • Jackson RB, Carpenter SR, Dahm CN, McKnight DM, Naiman RJ, Postel SL, Running SW (2001) Water in a changing world Ecological applications 11:1027–1045

    Article  Google Scholar 

  • Keyantash J, Dracup JA (2002) The quantification of drought: an evaluation of drought indices. Bull Am Meteor Soc 83:1167–1180

    Article  Google Scholar 

  • Li LJ 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 

  • Liang K (2017) Quantifying Streamflow Variations in Ungauged Lake Basins by Integrating Remote Sensing and Water Balance Modelling: a Case Study of the Erdos Larus relictus National Nature Reserve. China Remote Sens 9:588

    Article  Google Scholar 

  • Liang YS, Wei W, Li HJ, Shen XH, Xu YL, Dai JR (2012) The South-to-North Water Diversion Project: effect of the water diversion pattern on transmission of Oncomelania hupensis, the intermediate host of Schistosoma japonicum in China. Parasites Vectors 5:398

    Article  Google Scholar 

  • Liang K, Liu C, Liu X, Song X (2013) Impacts of climate variability and human activity on streamflow decrease in a sediment concentrated region in the Middle Yellow River. Stoch Environ Res Risk Assess 27:1741–1749

    Article  Google Scholar 

  • Liang K, Peng B, Li J, Liu C (2014) Variability of temperature extremes in the Yellow River basin during 1961–2011. Quat Int 336:52–64

    Article  Google Scholar 

  • Liu C, Zheng H (2002) South-to-north water transfer schemes for China. Int J Water Resour Dev 18:453–471

    Article  Google Scholar 

  • Liu X, Liu C, Luo Y, Zhang M, Xia J (2012) Dramatic decrease in streamflow from the headwater source in the central route of China’s water diversion project: climatic variation or human influence? J Geophys Res Atmos 117:D06113

    Article  Google Scholar 

  • Liu X, Liu W, Xia J (2013) Comparison of the streamflow sensitivity to aridity index between the Danjiangkou Reservoir basin and Miyun Reservoir basin, China. Theor Appl Climatol 111:683–691

    Article  Google Scholar 

  • Liu X, Luo Y, Yang T, Liang K, Zhang M, Liu C (2015) Investigation of the probability of concurrent drought events between the water source and destination regions of China’s water diversion project. Geophys Res Lett 42:8424–8431

    Article  Google Scholar 

  • Ma H, Yang D, Tan SK, Gao B, Hu Q (2010) Impact of climate variability and human activity on streamflow decrease in the Miyun Reservoir catchment. J Hydrol 389:317–324

    Article  Google Scholar 

  • Marengo JA, Tomasella J, Uvo CR (1998) Trends in streamflow and rainfall in tropical South America: Amazonia, eastern Brazil, and northwestern Peru. J Geophys Res Atmos 103:1775–1783

    Article  CAS  Google Scholar 

  • Maurer EP, Duffy PB (2005) Uncertainty in projections of streamflow changes due to climate change in California. Geophys Res Lett 32:259–280

    Article  Google Scholar 

  • Mezentsev VS (1955) More on the calculation of average total evaporation. Meteorol Gidrol 5:24–26

    Google Scholar 

  • Milly PCD, Dunne KA (2002) Macroscale water fluxes 2. Water.and energy supply control of their interannual variability. Water Resour Res 38:1206

    Google Scholar 

  • Ol’Dekop E (1911) On evaporation from the surface of river basins. Trans Meteorol Obs 4:200

    Google Scholar 

  • Pielke RA, Marland G, Betts RA, Chase TN, Eastman JL, Niles JO, Running SW (2002) The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gases. Philos Trans R Soc Lond A Math Phys Eng Sci 360:1705–1719

    Article  CAS  Google Scholar 

  • Pike JG (1964) The estimation of annual run-off from meteorological data in a tropical climate. J Hydrol 2:116–123

    Article  Google Scholar 

  • Rodgers JL, Nicewander WA (1988) Thirteen ways to look at the correlation coefficient. Am Stat 42:59–66

    Article  Google Scholar 

  • Sankarasubramanian A, Vogel RM, Limbrunner JF (2001) Climate elasticity of streamflow in the United States. Water Resour Res 37:1771–1781

    Article  Google Scholar 

  • Schaake JC (1990) From Climate to Flow. In: Waggoner PE (ed) Climate change and US water resources. Wiley, New York, pp 177–206

    Google Scholar 

  • Schreiber P (1904) Über die Beziehungen Zwischen dem Niederschlag und der Wasserführung der Flüsse in Mitteleuropa. Meteorol Z 21:441–452

    Google Scholar 

  • Sun Y, Tian F, Yang L, Hu H (2014) Exploring the spatial variability of contributions from climate variation and change in catchment properties to streamflow decrease in a mesoscale basin by three different methods. J Hydrol 508:170–180

    Article  Google Scholar 

  • Turc L (1954) Le bilan d’eau des sols. Relations entre les précipitations, l’évaporation et l’écoulement. Annales Agronomiques 5:491–596

    CAS  Google Scholar 

  • Van Den Broeke M et al (2009) Partitioning recent Greenland mass loss. Science 326:984–986

    Article  Google Scholar 

  • Vörösmarty CJ, Green P, Salisbury J, Lammers RB (2000) Global water resources: vulnerability from climate change and population growth. Science 289:284–288

    Article  Google Scholar 

  • Wang G, 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 Resour Res 45:206–216

    Google Scholar 

  • Watkins K (2006) Human Development Report 2006-Beyond scarcity: Power, poverty and the global water crisis. UNDP Human Development Reports (2006)

  • Wei F (2007) Modern climatic statistical diagnosis and prediction techniques, 2nd edn. China Meteorological Press, Beijing (in Chinese)

    Google Scholar 

  • Xu X, Yang D, Yang H, Lei H (2014) Attribution analysis based on the Budyko hypothesis for detecting the dominant cause of runoff decline in Haihe basin. J Hydrol 510:530–540

    Article  Google Scholar 

  • Yan G, Lou H, Liang K, Zhang Z (2017) Dynamics and driving forces of Bojiang Lake area in Erdos Larus Relictus National Nature Reserve, China. Quat Int. doi:10.1016/j.quaint.2016.12.034

    Google Scholar 

  • Yang H, Yang D (2011) Derivation of climate elasticity of runoff to assess the effects of climate change on annual runoff. Water Resour Res 47:197–203

    Article  Google Scholar 

  • Yang H, Yang D, Lei Z, Sun F (2008) New analytical derivation of the mean annual water-energy balance equation. Water Resour Res 44:893–897

    Google Scholar 

  • Yang H, Qi J, Xu X, Yang D, Lv H (2014a) The regional variation in climate elasticity and climate contribution to runoff across China. J Hydrol 517:607–616

    Article  Google Scholar 

  • Yang H, Yang D, Hu Q (2014b) An error analysis of the Budyko hypothesis for assessing the contribution of climate change to runoff. Water Resour Res 50:9620–9629

    Article  Google Scholar 

  • Zhang L, Dawes W, Walker G (2001) Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resour Res 37:701–708

    Article  Google Scholar 

  • Zhang D, Liu X, Liu C, Bai P (2013) Responses of runoff to climatic variation and human activities in the Fenhe River, China. Stoch Environ Res Risk Assess 27:1293–1301

    Article  Google Scholar 

  • Zhang D, Liu X, Zhang Q, Liang K, Liu C (2016) Investigation of factors affecting intra-annual variability of evapotranspiration and streamflow under different climate conditions. J Hydrol 543:759–769

    Article  Google Scholar 

  • Zheng H, Zhang L, Zhu R, Liu C, Sato Y, Fukushima Y (2009) Responses of streamflow to climate and land surface change in the headwaters of the Yellow River Basin. Water Resour Res 45:641–648

    Google Scholar 

  • Zheng J, Sun G, Li W, Gong Y, Tu L (2016) Impacts of land use change and climate variations on annual inflow into Miyun Reservoir, Beijing, China. Hydrol Earth Syst Sci Discuss 12:7785–7819

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the National Natural Science Foundation of China (No. 41501032), and the Chinese Academy of Sciences Supported Consulting and Appraising Project “Water Security Assurance Strategy and Countermeasures of China”. It is very grateful to the reviewers for their constructive comments and thoughtful suggestions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kang Liang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liang, K. Comparative investigation on the decreased runoff between the water source and destination regions in the middle route of China’s South-to-North Water Diversion Project. Stoch Environ Res Risk Assess 32, 369–384 (2018). https://doi.org/10.1007/s00477-017-1454-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00477-017-1454-4

Keywords

Navigation