SpringerLink
Log in

A comprehensive analysis of spatial and temporal variability of extreme precipitation in the Nenjiang River Basin, Northeast China

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Better investigation of extreme precipitation in large river basins is important for hydro-meteorological research and water resources management. Based on daily precipitation data from 17 national meteorological stations in Nenjiang River Basin (NRB) during 1959–2011, spatial-temporal characteristics and trends of seven extreme precipitation indices were analyzed in this study using Mann-Kendall non-parametric test and the ensemble empirical mode decomposition (EEMD) method. We found that almost all selected extreme precipitation indices declined in regionally averaged values, except maximum 5-day precipitation amount (Rx5day). Both extreme precipitation indices and their trends demonstrated spatial varieties. Generally, lower basin obtained less extreme precipitation and tended to be drier. But the amount and intensity of extreme precipitation in upper basin, where are more humid, are rising. Extreme precipitation indices presented apparent non-linear process with periodic oscillations of 1.63–1.94a for IMF1 to 25–31a for IMF4. The findings of this study are useful for the management of water resources in NRB, as well as provide reference information for precipitation evolution under climate change in other regions.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Bessaklia H, Ghenim AN, Megnounif A, Martin-Vide J (2018) Spatial variability of concentration and aggressiveness of precipitation in North-East of Algeria. J Water Land Dev 36(1):3–15

    Google Scholar 

  • Chattopadhyay S, Jhajharia D, Chattopadhyay G (2011) Trend estimation and univariate forecast of the sunspot numbers: development and comparison of ARMA, ARIMA and autoregressive neural network models. Compt Rendus Geosci 343(7):433–442

    Google Scholar 

  • Chattopadhyay S, Jhajharia D, Chattopadhyay G (2012) Univariate modelling of monthly maximum temperature time series over Northeast India: neural network versus Yule–Walker equation based approach. Meteorol Appl 18(1):70–82

    Google Scholar 

  • Chen FW, Liu CW (2012) Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan. Paddy Water Environ 10(3):209–222

    Google Scholar 

  • Chen C, Zhang Y, Wang L et al (2013) Research on the change of extreme precipitation in Jiangxi Province based on RClimDex model. China Rural Water and Hydropower 11:41–45 (in Chinese)

    Google Scholar 

  • Chen PC, Wang YH, You JY et al (2016) Comparison of methods for non-stationary hydrologic frequency analysis: case study using annual maximum daily precipitation in Taiwan. J Hydrol 545:197–211

    Google Scholar 

  • Croitoru AE, Chiotoroiu BC, Todorova VI et al (2013) Changes in precipitation extremes on the Black Sea Western Coast. Glob Planet Chang 102(March):10–19

    Google Scholar 

  • Dimri AP (2006) Surface and upper air fields during extreme winter precipitation over the Western Himalayas. Pure Appl Geophys 163(8):1679–1698

    Google Scholar 

  • Dirks KN, Hay JE, Stow CD (1998) High resolution studies of rainfall on Norfolk Island part II: interpolation of rainfall data. J Hydrol 208:187–193

    Google Scholar 

  • Du H, Wu Z, Li M et al (2013a) Characteristics of extreme daily minimum and maximum temperature over Northeast China, 1961–2009. Theor Appl Climatol 111(1–2):161–171

    Google Scholar 

  • Du H, Wu Z, Zong S et al (2013b) Assessing the characteristics of extreme precipitation over Northeast China using the multifractal detrended fluctuation analysis. J Geophys Res Atmos 118(12):6165–6174

    Google Scholar 

  • Faiz MA, Liu D, Fu Q, Wrzesiński D, Nabi G, Baig F, Khan MI, Li T, Cui S (2018) Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices. Clim Res 74(3):231–250

    Google Scholar 

  • Feng S, Nadarajah S, Hu Q (2007) Modeling annual extreme precipitation in China using the generalized extreme value distribution. J Meteorol Soc Jpn 85(5):599–613

    Google Scholar 

  • Feng X, Zhang G, Yin X (2011) Hydrological responses to climate change in Nenjiang River Basin, northeastern China. Water Resour Manag 25(2):677–689

    Google Scholar 

  • Fowler AM, Hennessy KJ (1995) Potential impacts of global warming on the frequency and magnitude of heavy precipitation. Nat Hazards 11(3):283–303

    Google Scholar 

  • Fu G, Yu J, Yu X, Ouyang R, Zhang Y, Wang P, Liu W, Min L (2013) Temporal variation of extreme rainfall events in China, 1961–2009. J Hydrol 487(487):48–59

    Google Scholar 

  • Gao T, Shi X (2016) Spatio-temporal characteristics of extreme precipitation events during 1951–2011 in Shandong, China and possible connection to the large scale atmospheric circulation. Stoch Env Res Risk A 30(5):1421–1440

    Google Scholar 

  • Gao T, **e L (2016) Spatiotemporal changes in precipitation extremes over Yangtze River basin, China, considering the rainfall shift in the late 1970s. Glob Planet Chang 147:106–124

    Google Scholar 

  • Gao L, Huang J, Chen X et al (2016) Risk of extreme precipitation under nonstationarity conditions during the second flood season in the Southeastern Coastal Region of China. J Hydrometeorol 18(3):669–681

    Google Scholar 

  • Gao L, Huang J, Chen X, Chen Y, Liu M (2018) Contributions of natural climate changes and human activities to the trend of extreme precipitation. Atmos Res 205:60–69

    Google Scholar 

  • Guo X, Huang J, Luo Y, Zhao Z, Xu Y (2016) Projection of precipitation extremes for eight global warming targets by 17 CMIP5 models. Nat Hazards 84(3):2299–2319

    Google Scholar 

  • Guo E, Liu X, Zhang J, Wang Y, Wang C, Wang R, Li D (2017) Assessing spatiotemporal variation of drought and its impact on maize yield in Northeast China. J Hydrol 553:231–247

    Google Scholar 

  • Ham YG, Kug JS (2016) Present-day constraint for tropical Pacific precipitation changes due to global warming in CMIP5 models. Asia-Pac J Atmos Sci 52(5):459–466

    Google Scholar 

  • Hamed KH (2009) Exact distribution of the Mann-Kendall trend test statistic for persistent data. J Hydrol 365(1):86–94

    Google Scholar 

  • He Y, Yang TB, Ji Q et al (2015) Glacier variation in response to climate change in Chinese Tianshan Mountains from 1989 to 2012. Journal of Mountain Science 12(5):1189–1202

    Google Scholar 

  • Huang D, Qian Y (2009) The analysis method of regional characteristics of extreme temperature and its results. J Nanjiang Univ (Nat Sci) 45(6):715–723 (in Chinese)

    Google Scholar 

  • Huang NE, Wu Z (2008) A review on Hilbert-Huang transform: method and its applications to geophysical studies. Rev Geophys 46(2):RG2006

  • Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Yen NC, Tung CC, Liu HH (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc Math Phys Eng Sci 454(1971):903–995

    Google Scholar 

  • Jhajharia D, Yadav BK, Maske S, Chattopadhyay S, Kar AK (2012) Identification of trends in rainfall, rainy days and 24h maximum rainfall over subtropical Assam in Northeast India. Compt Rendus Geosci 344(1):1–13

    Google Scholar 

  • Kurtzman D, Navon S, Morin E (2009) Improving interpolation of daily precipitation for hydrologic modeling: spatial patterns of preferred interpolators. Hydrol Process 23:3281–3291

    Google Scholar 

  • Kyselý J, Gaál L, Beranová R (2011) Projected changes in flood-generating precipitation extremes over the Czech Republic in high-resolution regional climate models. J Hydrosci Hydraul Eng 59(4):217–227

    Google Scholar 

  • Li W (1999) General atmospheric circulation anomaly in 1998 and their impact on climate anomaly in China. Meteorol Mon 25(4):20–25

  • Li Z, He Y, Wang P et al (2012) Changes of daily climate extremes in southwestern China during 1961–2008. Glob Planet Chang 80(81):255–272

    Google Scholar 

  • Li F, Zhang G, Xu YJ (2014) Spatiotemporal variability of climate and streamflow in the Songhua River Basin, Northeast China. J Hydrol 514:53–64

    Google Scholar 

  • Li F, Zhang G, Xu Y (2016) Assessing climate change impacts on water resources in the Songhua River Basin. Water 8(10):420

    Google Scholar 

  • Liang K, Liu S, Bai P, Nie R (2015) The Yellow River basin becomes wetter or drier? The case as indicated by mean precipitation and extremes during 1961–2012. Theor Appl Climatol 119(3–4):701–722

    Google Scholar 

  • Lin L, Li CH, Dai M et al (2007) Optimization of the spatial interpolation for marine phytoplankton abundance. Acta Ecol Sin 27(7):2880–2888 (in Chinese)

    Google Scholar 

  • Liu B, Chen J, Chen X, Lian Y, Wu L (2013) Uncertainty in determining extreme precipitation thresholds. J Hydrol 503(11):233–245

    Google Scholar 

  • Liu S, Huang S, Huang Q, **e Y, Leng G, Luan J, Song X, Wei X, Li X (2017) Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: a case study in the Wei River Basin, China. J Hydrol 548:184–195

    Google Scholar 

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

    Google Scholar 

  • Mantua N, Tohver I, Hamlet A (2010) Climate change impacts on streamflow extremes and summertime stream temperature and their possible consequences for freshwater salmon habitat in Washington State. Climate Change 102:187–223

    Google Scholar 

  • Nowosad J, Stach A (2014) Relation between extensive extreme precipitation in Poland and atmospheric circulation. QuaGeo 33(1):115–129

    Google Scholar 

  • Qian W, Zhu Y (2001) Climate change in China from 1880 to 1998 and its impact on the environmental condition. Clim Chang 50(4):419–444

    Google Scholar 

  • Qin Y, Li B, Chen Z, Chen Y, Lian L (2018) Spatio-temporal variations of nonlinear trends of precipitation over an arid region of Northwest China according to the extreme-point symmetric mode decomposition method. Int J Climatol 38(5):2239–2249

    Google Scholar 

  • Radinović D, Ćurić M (2012) Some evidence on European monsoon existence. Theor Appl Climatol 110(1–2):11–15

    Google Scholar 

  • Reddy MJ, Adarsh S (2015) Time–frequency characterization of sub-divisional scale seasonal rainfall in India using the Hilbert–Huang transform. Stoch Env Res Risk A 30(4):1063–1085

    Google Scholar 

  • Ren G, Ding Y, Zhao Z, Zheng J, Wu T, Tang G, Xu Y (2012) Recent progress in studies of climate change in China. Adv Atmos Sci 29(5):958–977

    Google Scholar 

  • Rosenzweig C, Iglesias A, Yang XB, Epstein PR, Chivian E (2001) Climate change and extreme weather events; implications for food production, plant diseases, and pests. Glob Change Human Health 2:90–104

    Google Scholar 

  • Santos M, Fragoso M (2013) Precipitation variability in northern Portugal: data homogeneity assessment and trends in extreme precipitation indices. Atmos Res 131(5):34–45

    Google Scholar 

  • Shen BZ, Lin ZD, Lu RY, Lian Y (2011) Circulation anomalies associated with interannual variation of early- and late-summer precipitation in Northeast China. Sci China Earth Sci 54(7):1095–1104

    Google Scholar 

  • Sippel S, Otto FEL (2014) Beyond climatological extremes—assessing how the odds of hydrometeorological extreme events in South-East Europe change in a warming climate. Clim Chang 125(3–4):381–398

    Google Scholar 

  • Song X, Song S, Sun W, Mu X, Wang S, Li J, Li Y (2015) Recent changes in extreme precipitation and drought over the Songhua River Basin, China, during 1960–2013. Atmos Res 157(157):137–152

    Google Scholar 

  • Wang Q, Zhang M, Wang S, Ma Q, Sun M (2014) Changes in temperature extremes in the Yangtze River Basin, 1962-2011. J Geogr Sci 24(1):59–75

    Google Scholar 

  • Wu ZH, Huang NE (2009) Ensemble empirical mode decomposition: a noise-assisted data analysis method. Adv Adapt Data Anal 1:1–41

    Google Scholar 

  • Wu X, Wang Z, Zhou X, Lai C, Lin W, Chen X (2016) Observed changes in precipitation extremes across 11 basins in China during 1961–2013. Int J Climatol 36(8):2866–2885

    Google Scholar 

  • Wu X, Pan M, Zhu X, Cao J, Zhang M (2018) Effect of extreme precipitation events on the hydrochemistry index and stable isotope compositions of drip water in a subtropical cave, Guangxi, SW China. Carbonates Evaporites 33(1):123–131

    Google Scholar 

  • **ong K, Feng G, Wang Q et al (2009) Spatial-temporal characteristics of record-breaking temperature events over China in recent 46 years. Acta Phys Sin 58(11):8107–8115

    Google Scholar 

  • Yang T, Lu G, Li H et al (2011) Advances in the study of projection of climate change impacts on hydrological extremes. Adv Water Sci 22(2):279–286

    Google Scholar 

  • Yang P, **a J, Zhan C et al (2018) Discrete wavelet transform-based investigation into the variability of standardized precipitation index in Northwest China during 1960–2014. Theor Appl Climatol 132(1–2):1–14

    Google Scholar 

  • Ye H, Fetzer EJ, Sun W et al (2017) More frequent showers and thunderstorm days under a warming climate: evidence observed over Northern Eurasia from 1966 to 2000. Clim Dyn 49:1–12

    Google Scholar 

  • Yi H, Yang T, Qin J et al (2015) Glacier variation in response to climate change in Chinese Tianshan Mountains from 1989 to 2012. J Mt Sci 12(5):1189–1202

    Google Scholar 

  • Yin J, Yan D, Yang Z et al (2016) Projection of extreme precipitation in the context of climate change in Huang-Huai-Hai region, China. J Earth Syst Sci 125(2):417–429

    Google Scholar 

  • Zhai P, Ren F, Zhang Q (1999) Detection of trends in China’s precipitation extremes. Acta Meteorol Sin 57(2):208–216

  • Zhang Q, Xu C, Tao H et al (2010) Climate changes and their impacts on water resources in arid regions: a case study of the Tarim River basin, China. Stoch Env Res Risk A 24(3):349–358

    Google Scholar 

  • Zhang Q, Zheng Y, Singh VP et al (2017) Summer extreme precipitation in eastern China: mechanisms and impacts. J Geophys Res 122(5):2766–2778

    Google Scholar 

  • Zhao A, Zhang A, Liu X et al (2017) Spatiotemporal changes of normalized difference vegetation index (NDVI) and response to climate extremes and ecological restoration in the Loess Plateau, China. Theor Appl Climatol 132(1–2):555–567

    Google Scholar 

  • Zhong K, Zheng F, Xu X, Qin C (2018) Discriminating the precipitation phase based on different temperature thresholds in the Songhua River Basin, China. Atmos Res 205:48–59

    Google Scholar 

Download references

Acknowledgements

The observed daily precipitation records were provided by the Chinese Meteorological Administration (CMA) and are available at http://data.cma.cn/data/cdcdetail/dataCode/SURF_CLI_CHN_MUL_DAY_V3.0.html. The authors are grateful to Jun Zhang for editing the manuscript prior to submission. We also thank the editor, Prof. Dr. Hartmut Graßl, and an anonymous reviewer for their professional comments and constructive suggestions to improve the manuscript.

Funding

The authors thankfully acknowledge the financial assistance by the Key Program of Science and Technology Development Plan of Jilin Province (No. 20170520086JH), National Natural Science Foundation of China (No. 41701020), Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (No. 2016490611), China-ROK cooperation project (No. 51711540299), and Natural Science Foundation of Jilin Province (No. 20180101078JC).

Author information

Authors and Affiliations

  1. Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China

    Feng** Li, ** Li, ** Li

Authors
  1. Feng** Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. **aopei Ju
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wenxi Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hongyan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Feng** Li.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, F., Ju, X., Lu, W. et al. A comprehensive analysis of spatial and temporal variability of extreme precipitation in the Nenjiang River Basin, Northeast China. Theor Appl Climatol 138, 605–616 (2019). https://doi.org/10.1007/s00704-019-02846-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-019-02846-4

Search

Navigation