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Decreasing or increasing trends? Evidence of long-term change in river discharge over the northern Korean Peninsula, 1951–2010

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Abstract

In this study, the trends in river discharge were investigated on different time scales for the period 1951/52–2009/10 over the northern part of the Korean peninsula based on the reliable flow datasets measured at the stations with near-natural states, and no or less anthropogenic activities. The annual mean discharge decreased by 5–11%/decade and its abrupt years appeared around 1980. On the seasonal scale, the trends in the rainy season were the most definitely observed with the decreasing rate of 6–12%/decade and could be seen to begin earlier than the annual trends. Unlike the annual and seasonal trends, the monthly trends exhibited very fluctuant variations depending on the individual months and locations. Overall, considering the detected significant trends, there is strong evidence that the river discharge remarkably decreased with the enhanced variability and the decreasing trends were a predominant part of the changes in the river discharge in the study period. With regard to the hydrological regions, the result suggested that the river discharge in the coastal hydrological regions influenced by the oceanic climate could be more sensitive to climate change than in the northern inland area with the continental climate.

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References

  • Alkama R, Marchand L, Ribes A and Decharme B 2013 Detection of global runoff changes results from observations and CMIP5 experiments; Hydrol. Earth Syst. Sci. 17(7) 2967–2979.

    Article  Google Scholar 

  • Arrigoni A S, Greenwood M C and Moore J N 2010 Relative impact of anthropogenic modifications versus climate change on the natural flow regimes of rivers in the Northern Rocky Mountains, United States; Water Resour. Res. 46 W12542, https://doi.org/10.1029/2010WR009162.

    Article  Google Scholar 

  • Azadeh A S, Mohammad Z, Hossein T and Shokat M 2015 Evaluation of precipitation and river discharge variations over southwestern Iran during recent decades; Hydrol. Earth Syst. Sci. 124 335–352.

    Article  Google Scholar 

  • Berezovskaya S, Yang D and Kane D L 2004 Compatibility analysis of precipitation and runoff trends over the large Siberian watersheds; Geophys. Res. Lett. 31 L21502, https://doi.org/10.1029/2004GL021277.

    Article  Google Scholar 

  • Dai A 2016 Historical and future changes in streamflow and continental runoff, in terrestrial water cycle and climate change natural and human-induced impacts; John Wiley Sons Inc, Hoboken, NJ, USA, pp. 17–37.

  • Dai A, Qian T, Trenberth K E and Milliman J D 2009 Changes in continental freshwater discharge from 1948 to 2004; J. Climate 22(10) 2773–2792.

    Article  Google Scholar 

  • Du J, He F, Zhang Z and Shi P 2011 Precipitation change and human impacts on hydrologic variables in Zhengshui River Basin, China; Stoch. Environ. Res. Risk Assess. 25(7) 1013–1025.

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Gao G Y, Fu B J, Wang S, Liang W and Jiang X H 2016a Determining the hydrological responses to climate variability and land use/cover change in the Loess Plateau with the Budyko framework; Sci. Total Environ. 557 331–342.

    Article  Google Scholar 

  • Gao Z L, Zhang L, Zhang X P, Cheng L, Potter N, Cowan T and Cai W J 2016b Longterm streamflow trends in the middle reaches of the Yellow River Basin detecting drivers of change; Hydrol. Process. 30(9) 1315–1329.

    Article  Google Scholar 

  • Gerstengarbe F W and Werner P C 1999 Estimation of the beginning and end of recurrent events within a climate regime; Clim. Res. 11 97–107.

    Article  Google Scholar 

  • Gocic M and Trajkovic S 2013 Analysis of changes in meteorological variables using Mann–Kendall and Sen’s slope estimator statistical tests in Serbia; Global Planet. Change 100 172–182.

    Article  Google Scholar 

  • Haddeland I, Heinke J, Biemans H, Eisner S, Florke M, Hanasaki N, Konzmann M, Ludwig F, Masaki Y, Schewe J, Stacke T, Tessler Z D, Wada Y and Wisser D 2014 Global water resources affected by human interventions and climate change; Proc. Nat. Acad. Sci. 111(9) 3251–3256.

    Article  Google Scholar 

  • Hannaford J and Buys G 2012 Trends in seasonal river flow regimes in the UK; J. Hydrol. 475 158–174, https://doi.org/10.1016/j.jhydrol.2012.09.044.

    Article  Google Scholar 

  • Helsel D R and Hirsch R M 1992 Statistical methods in water resources; Elsevier, Amsterdam, 522p.

  • Hu M, Takahiro S, Weili D, Kaoru T, Bin H and Luo P 2017 Assessment of hydrological extremes in the Kamo River Basin, Japan; Hydrol. Process. 62 1255–1265.

    Google Scholar 

  • Intended Nationally Determined Contribution of Democratic People’s Republic of Korea (INDC) 2016 Government of DPR Korea; http://www.unfccc.int/ndcregistry/PublishedDocuments/Democratic%20People%27s%20Republic%20of%20Korea%20First/DPRK-INDC%20by%202030.pdf/.

  • Jew D and Umamahesh V N 2018 Assessment and evaluation of potential climate change impact on monsoon flows using machine learning technique over Wainganga River basin, India; Hydrol. Process. 63(7) 1020–1046.

    Google Scholar 

  • Jiang T, Kundzewicz Z W and Su B 2008 Changes in monthly precipitation and flood hazard in the Yangtze River Basin, China; Int. J. Climatol. 28 1471–1481.

    Article  Google Scholar 

  • Jiang T, Su B and Hartmann H 2007a Temporal and spatial trends of precipitation and river flow in the Yangtze River Basin, 1961–2000; Geomorphology 85 143–154.

    Article  Google Scholar 

  • Jiang Y, Zhou C and Cheng W 2007b Streamflow trends and hydrological response to climatic change in Tarim headwater basin; J. Geogr. Sci. 17(1) 51–61.

    Article  Google Scholar 

  • Jong S I, Om K C and Pak Y I 2021 Influences of atmospheric circulation patterns on interannual variability of winter precipitation over the northern part of the Korean peninsula; Clim. Res. 85 35–50, https://doi.org/10.3354/cr01670.

    Article  Google Scholar 

  • Kong D, Miao C, Borthwick A G L, Duan Q, Liu H, Sun Q, Ye A, Di Z and Gong W 2015 Evolution of the Yellow River Delta and its relationship with stream flow and sediment load from 1983 to 2011; J. Hydrol. 520 157–167.

    Article  Google Scholar 

  • Kormann C, Francke T, Renner M and Bronstert A 2015 Attribution of high resolution streamflow trends in Western Austria – an approach based on climate and discharge station data; Hydrol. Earth Syst. Sci. 19 1225–1245, https://doi.org/10.5194/hess-19-1225-2015.

    Article  Google Scholar 

  • Kulkarni A and von Storch H 1995 Monte Carlo experiments on the effect of serial correlation on the Mann–Kendall test of trend; Meteorol. Zeitschrift 4(2) 82–85.

    Article  Google Scholar 

  • Labat D, Goddéris Y, Probst J L and Guyot J L 2004 Evidence for global runoff increase related to climate warming; Adv. Water Resour. 27(6) 631–642.

    Article  Google Scholar 

  • Li L, Krasovskaia I, Xiong L and Yan L 2017 Analysis and projection of runoff variation in three Chinese rivers; Hydrol. Res. 48 1296–1310.

    Article  Google Scholar 

  • Mann H B 1945 Nonparametric tests against trend; Econometrica 13 245–259.

    Article  Google Scholar 

  • Masih I, Uhlenbrook S, Maskey S and Smakhtin V 2011 Streamflow trends and climate linkages in the Zagros Mountains, Iran; Clim. Change 104(2) 317–338.

    Article  Google Scholar 

  • Miao C, Kong D, Wu J and Duan Q 2016 Functional degradation of the water–sediment regulation scheme in the lower Yellow River spatial and temporal analyses; Sci. Total Environ. 551–552 16–22.

    Article  Google Scholar 

  • Mishra V, Aadhar S, Akarsh A, Pai S and Kumar R 2016 On the frequency of the 2015 monsoon season drought in the Indo-Gangetic Plain; Geophys. Res. Lett. 43 102–112, https://doi.org/10.1002/2016GL071407.

    Article  Google Scholar 

  • Modarres R and Silva V 2007 Rainfall trends in arid and semi-arid regions of Iran; J. Arid Environ. 70 344–355.

    Article  Google Scholar 

  • Muhamment Y and Fatih T 2019 Trend assessment of annual instantaneous maximum flows in Turkey; Hydrol. Sci. J. 64(7) 820–834, https://doi.org/10.1080/02626667.2019.1608996.

    Article  Google Scholar 

  • Myronidis D, Fotakis D, Ioannou K and Sgouropoulou K 2018 Comparison of ten notable meteorological drought indices on tracking the effect of drought on streamflow; Hydrol. Sci. J. 63 2005–2019.

    Article  Google Scholar 

  • Myronidis D and Theofanous N 2021 Changes in climatic patterns and tourism and their concomitant effect on drinking water transfers into the Region of South Aegean, Greece; Stoch. Environ. Res. Risk. Assess. 35 1725–1739, https://doi.org/10.1007/s00477-021-02015-y.

    Article  Google Scholar 

  • Naidu C V, Rajua A D, Satyanarayana G Ch, Kumar P V, Chiranjeevi G and Suchitra P 2015 An observational evidence of decrease in Indian summer monsoon rainfall in the recent three decades of global warming era; Global Planet. Change 127 91–102.

    Article  Google Scholar 

  • Nathalie F, Eric M, Patrick A, Pierre L and Mathieu T 2019 A 50-year analysis of hydrological trends and processes in a Mediterranean catchment; Hydrol. Earth Syst. Sci. 23 2699–2714.

    Article  Google Scholar 

  • Olmo F J and Alados-Arboledas L 1995 Pinatubo eruption effects on solar radiation at Almeria (36.83N, 2.41W); Tellus B. 47 602–660.

  • Om K C, Ren G, Jong S I, Li S, O K C, Ryang C H and Zhang P 2019 Long-term change in surface air temperature over DPR Korea, 1918–2015; Theor. Appl. Climatol. 138 363–372.

  • Partal T and Kahya E 2006 Trend analysis in Turkish precipitation data; Hydrol. Process. 20 2011–2026.

    Article  Google Scholar 

  • Pettitt A N 1979 A non-parametric approach to the change point problem; Appl. Statist. 28 126–135, https://doi.org/10.2307/2346729.

    Article  Google Scholar 

  • Ren Y J, Cui J X, Wan S Q, Liu M, Chen Z H, Liao Y F and Wang J J 2013 Climate change impacts on central China and adaptation measures; Adv. Clim. Change Res. 4(4) 215–222.

    Article  Google Scholar 

  • Sen P K 1968 Estimates of the regression coefficient based on Kendall’s tau; J. Am. Stat. Assoc. 63(324) 1379–1389.

    Article  Google Scholar 

  • Shah R and Mishra V 2014 Evaluation of the reanalysis products for the monsoon season droughts in India; J. Hydrometeorol. 15 1575–1591.

    Article  Google Scholar 

  • Shen Y J, Shen Y, Manfred F, Sven K, Chen Y and Alexander B 2018 Trends and variability in streamflow and snowmelt runoff timing in the southern Tianshan Mountains; J. Hydrol. 557 173–181.

    Article  Google Scholar 

  • Spearman C 1904 The proof and measurement of association between two things; Am. J. Psychol. 15(1) 72–101.

    Article  Google Scholar 

  • Stephen J, Déry and Wood E F 2005 Decreasing river discharge in northern Canada; Geophys. Res. Lett. 32 L10401, https://doi.org/10.1029/2005GL022845.

  • Su L, Miao C, Kong D, Duan Q, Lei X, Hou Q and Li H 2018 Long-term trends in global river flow and the causal relationships between river flow and ocean signals; J. Hydrol. 563 818–833.

    Article  Google Scholar 

  • Thomas R, Efraín D and John C 2016 Comparing trends in hydrometeorological average and extreme data sets around the world at different time scales; J. Hydrol. Regional Studies 5 200–212.

    Article  Google Scholar 

  • Tian Q, Prange M and Merkel U 2016 Precipitation and temperature changes in the major Chinese river basins during 1957–2013 and links to sea surface temperature; J. Hydrol. 536 208–221.

    Article  Google Scholar 

  • Vimal M, Reepal S, Syed A, Harsh S, Parth M and Rohini K 2018 Reconstruction of droughts in India using multiple land-surface models (1951–2015); Hydrol. Earth Syst. Sci. 22 2269–2284.

    Article  Google Scholar 

  • von Storch H 1995 Misuses of statistical analysis in climate research; In: Analysis of climate variability: Applications of statistical techniques (eds) Storch H V and Navarra A, Springer, Berlin, pp. 11–26.

  • Wang S W, Wu R S and Yang X Q 2005 Chapter 2. Climate change in China; In: Climate and environment change in China (in Chinese); Science Press, Beijing, China, pp. 63–103.

  • Wei Q, Sun C, Wu G and Pan L 2017 Haihe River discharge to Bohai Bay, North China trends, climate, and human activities; Hydrol. Res. 48 1058–1070.

    Article  Google Scholar 

  • Whitfield P H, Burn D H, Hannaford J, Higgins H, Glenn A, Marsh T, Looser U and Hodgkins G A 2012 Reference hydrologic networks I. the status and potential future directions of national reference hydrologic networks for detecting trends; Hydrol. Sci. J. 6667 37–41, https://doi.org/10.1080/02626667.2012.728706.

    Article  Google Scholar 

  • Wijngaard J B, Klein T M and Konnen G P 2003 Homogeneity of 20th century European daily temperature and precipitation series; Int. J. Climatol. 23 679–692.

    Article  Google Scholar 

  • Wu J, Miao C, Wang Y, Duan Q and Zhang X 2017 Contribution analysis of the long-term changes in seasonal runoff on the Loess Plateau, China, using eight Budyko-based methods; J. Hydrol. 545 263–275.

    Article  Google Scholar 

  • Xiaojiao L, Rensheng C, Junfeng L, Xiqiang W, Baogui Z, Chuntan H, Guohua L, Shuhai G, Zhangwen L, Yaoxuan S, Yong Y, Qin Z and Lei W 2019 Effects of snow-depth change on spring runoff in cryosphere areas of China; Hydrol. Sci. J. 64(7) 789–797.

    Article  Google Scholar 

  • Xu C Y and Singh V P 2004 Review on regional water resources assessment models under stationary and changing climate; Water Resour. Manag. 18 591–612.

    Article  Google Scholar 

  • Xu H, Liu L, Wang Y, Wang S, Hao Y, Ma J and Jiang T 2019 Assessment of climate change impact and difference on the river runoff in four basins in China under 1.5 and 2.0°C global warming; Hydrol. Earth Syst. Sci. 23 4219–4231.

    Article  Google Scholar 

  • Xu K H, Milliman J D and Xu H 2010 Temporal trend of precipitation and runoff in major Chinese Rivers since 1951; Global Planet. Change 73 219–232.

    Article  Google Scholar 

  • Yue S, Pilon P and Cavadias G 2002 Power of the Mann–Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series; J. Hydrol. 259(1) 254–271, https://doi.org/10.1016/S0022-1694(01)00594-7.

    Article  Google Scholar 

  • Zarenistanak M, Dhorde A and Kripalani R H 2014 Trend analysis and change point detection of annual and seasonal precipitation and temperature series over southwest Iran; J. Earth Syst. Sci. 123 281–295.

    Article  Google Scholar 

  • Zhang J Y, Zhang S L, Wang J X and Li Y 2007 Study on runoff trends of the six larger basins in China over the past 50 years (in Chinese); Adv. Water Sci. 18(2) 230–234.

    Google Scholar 

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Acknowledgement

The authors are grateful to the State Hydro-Meteorological Administration of the DPR Korea (SHMA) for providing the observed data used in the study.

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Contributions

Jong-Hun Kim: Conceptualization, methodology, formal analysis. Myong-Bong Jo: Supervision, methodology. Nam-Chol O: Writing: review, methodology. Tong-Ho Ri: Data checking, investigation. Jong-Hye Choe: Data analysis, validation. Song-Il Phi: Software, writing: original draft.

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Correspondence to Jong-Hun Kim.

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Communicated by Riddhi Singh

Supplementary materials pertaining to this article are available on the Journal of Earth System Science website (http://www.ias.ac.in/Journals/Journal_of_Earth_System_Science).

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Kim, JH., Jo, MB., O, NC. et al. Decreasing or increasing trends? Evidence of long-term change in river discharge over the northern Korean Peninsula, 1951–2010. J Earth Syst Sci 131, 122 (2022). https://doi.org/10.1007/s12040-022-01867-4

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