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Theoretical and Applied Climatology

, Volume 133, Issue 3–4, pp 775–786 | Cite as

Dry-wet variations and cause analysis in Northeast China at multi-time scales

  • Qi Hu
  • Feifei Pan
  • Xuebiao Pan
  • Liting Hu
  • Xiaoxiao Wang
  • Pengyu Yang
  • Pei Wei
  • Zhihua Pan
Original Paper

Abstract

Global warming has caused unevenly distributed changes in precipitation and evapotranspiration, which has and will certainly impact on the wet-dry variations. Based on daily meteorological data collected at 91 weather stations in Northeast China (NEC), the spatiotemporal characteristics of dry and wet climatic variables (precipitation, crop reference evapotranspiration (ET0), and humid index (HI)) are analyzed, and the probable reasons causing the changes in these variables are discussed during the period of 1961–2014. Precipitation showed non-significant trend over the period of 1961–2014, while ET0 showed a significant decreasing trend, which led to climate wetting in NEC. The period of 2001–2012 exhibited smaller semiarid area and larger humid area compared to the period of 1961–1980, indicating NEC has experienced wetting process at decadal scale. ET0 was most sensitive to relative humidity, and wind speed was the second most sensitive variable. Sunshine hours and temperature were found to be less influential to ET0 in the study area. The changes in wind speed in the recent 54 years have caused the greatest influence on ET0, followed by temperature. For each month, wind speed was the most significant variable causing ET0 reduction in all months except July. Temperature, as a dominant factor, made a positive contribution to ET0 in February and March, as well as sunshine hours in June and July, and relative humidity in August and September. In summary, NEC has experienced noticeable climate wetting due to the significantly decreasing ET0, and the decrease in wind speed was the biggest contributor for the ET0 reduction. Although agricultural drought crisis is expected to be partly alleviated, regional water resources management and planning in Northeast China should consider the potential water shortage and water conflict in the future because of spatiotemporal dry-wet variations in NEC.

Notes

Acknowledgments

This research was funded by National Key Research and Development Project (Grant No. 2016YFD0300106, 2016YFD0300105), National Science and Technology Pillar Program during the 12th Five-year Plan Period (No. 2012BAD09B02, 2012BAD20B04), and National Natural Science Foundation of China (No. 41,271,053). The funding agencies had no involvement in the study design, analysis interpretation, writing, or publication.

Supplementary material

704_2017_2222_MOESM1_ESM.doc (657 kb)
ESM 1 (DOC 757 kb).

References

  1. Al-Faraj FAM, Tigkas D, Scholz M (2016) Irrigation efficiency improvement for sustainable agriculture in changing climate: a transboundary watershed between Iraq and Iran. Environ Process 3:603–616CrossRefGoogle Scholar
  2. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-guidelines for computing crop water requirements. FAO irrigation and drainage paper 56, Rome, ItalyGoogle Scholar
  3. Annandale JG, Stockle CO (1994) Fluctuation of crop evapotranspiration coefficients with weather: a sensitivity analysis. Irrig Sci 15:1–7CrossRefGoogle Scholar
  4. Bertoldi G, Albertson JD, Kustas WP, Li F, Anderson MC (2007) On the opposing roles of air temperature and wind speed variability in flux estimation from remotely sensed land surface states. Water Resour Res 43:533–544Google Scholar
  5. Beven KA (1979) Sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates. J Hydrol 44:169–190CrossRefGoogle Scholar
  6. Brutsaert W, Parlange MB (1998) Hydrologic cycle explains the evaporation paradox. Nature 396:30–30CrossRefGoogle Scholar
  7. Cai H, Yu Z, Yang C, Ju Q, Yan W (2012) Analysis of reference evapotranspiration change in the Huaihe River basin. EGU general assembly conference (Vol.14) abstractsGoogle Scholar
  8. Cong ZT, Yang DW, Ni GH (2008) Does evaporation paradox exist in China? Hydrol Earth Syst Sci Discuss 13:357–366CrossRefGoogle Scholar
  9. Crow FR, Mitchell AL (1975) Wind effects on chemical films for evaporation suppression at Lake Hefner. Water Resour Res 11:493–495CrossRefGoogle Scholar
  10. Dinpashoh Y (2006) Study of reference crop evapotranspiration in I.R. Iran. Agric Water Manag 84:123–129CrossRefGoogle Scholar
  11. Dinpashoh Y, Jhajharia D, Fakheri-Fard A, Singh VP, Kahya E (2011) Trends in reference crop evapotranspiration over Iran. J Hydrol 399:422–433CrossRefGoogle Scholar
  12. Dore MH (2005) Climate change and changes in global precipitation patterns: what do we know? Environ Int 31:1167–1181CrossRefGoogle Scholar
  13. Gong L, Xu CY, Chen D, Halldin S, Chen YD (2006) Sensitivity of the Penman–Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze river) basin. J Hydrol 329:620–629CrossRefGoogle Scholar
  14. Goyal RK (2004) Sensitivity of evapotranspiration to global warming: a case study of arid zone of Rajasthan (India). Agric Water Manag 69:1–11CrossRefGoogle Scholar
  15. Hobbins MT, Ramírez JA, Brown TC (2004) Trends in pan evaporation and actual evapotranspiration across the conterminous U.S.: paradoxical or complementary? Geophys Res Lett 31:405–407CrossRefGoogle Scholar
  16. Hu ZZ (1997) Conspectus of grassland classification science. China Agriculture Press, Beijing, pp 225–246Google Scholar
  17. Hu Q, Pan FF, Pan XB, Li QY, Shao CX, Pan ZH, Wei YR (2015) Trends in agricultural heat and solar radiation resources in Northeast China: a multistage spatio-temporal analysis. Int J Climatol 36:2461–2468CrossRefGoogle Scholar
  18. Hulme M, Marsh R, Jones PD (1992) Global changes in a humidity index between 1931-60 and 1961-90. Clim Res 2:1–22CrossRefGoogle Scholar
  19. Hupet F, Vanclooster M (2001) Effect of the sampling frequency of meteorological variables on the estimation of the reference evapotranspiration. J Hydrol 243:192–204CrossRefGoogle Scholar
  20. Iglesias A, Sánchez B, Garrote L, López I (2017) Towards adaptation to climate change: water for rice in the coastal wetlands of Doñana, southern Spain. Water Resour Manag:1–25Google Scholar
  21. IPCC (2013) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  22. Irmak S, Payero JO, Martin DL, Irmak A, Howell TA (2006) Sensitivity analyses and sensitivity coefficients of standardized daily ASCE-Penman-Monteith equation. J Irrig Drain Eng 132:564–578CrossRefGoogle Scholar
  23. Jhajharia D, Kumar R, Singh VP, Choudhary RR (2014) Searching evidence for the existence of evaporation paradox in arid environments of northwest India. Glob Nest J 16:1–9Google Scholar
  24. Kitsara G, Retalis A (2013) Dimming/brightening in Athens: trends in sunshine duration, cloud cover and reference evapotranspiration. Water Resour Manag 27:1623–1633CrossRefGoogle Scholar
  25. Kong F, Cai W, Shi L, Chen F (2012) The characteristics of annual water consumption for winter wheat and summer maize in North China plain. Procedia Eng 28:376–381CrossRefGoogle Scholar
  26. Li QS, Willardson LS, Deng W, Li XJ, Liu CJ (2005) Crop water deficit estimation and irrigation scheduling in western Jilin province, Northeast China. Agric Water Manag 71:47–60CrossRefGoogle Scholar
  27. Limjirakan S, Limsakul A (2012) Trends in Thailand pan evaporation from 1970 to 2007. Atmos Res 108:122–127CrossRefGoogle Scholar
  28. Liu CM, Zhang D (2011) Temporal and spatial change analysis of the sensitivity of potential evapotranspiration to meteorological influencing factors in China. Acta Geograph Sin 66:579–588Google Scholar
  29. Liu YS, Liu Y, Guo LY (2010) Impact of climate change on agricultural production and response strategies in China. Chin J Eco-Agric 18:905–910CrossRefGoogle Scholar
  30. Lobell DB, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333:616–620CrossRefGoogle Scholar
  31. McCuen RH (1973) The role of sensitivity analysis in hydrologic modeling. J Hydrol 18:37–53CrossRefGoogle Scholar
  32. Mcvicar TR, Roderick ML, Donohue RJ, Li LT, Niel TGV, Thomas A, Griesere J, Jhajhariaf D, Himrig Y, Mahowaldh NM (2012) Global review and synthesis of trends in observed terrestrial near-surface wind speeds: implications for evaporation. J Hydrol s416-417:182–205CrossRefGoogle Scholar
  33. Nouri M, Homaee M, Bannayan M (2017) Quantitative trend, sensitivity and contribution analyses of reference evapotranspiration in some arid environments under climate change. Water Resour Manag 31:2207–2224CrossRefGoogle Scholar
  34. O'Gorman PA, Schneider T (2009) The physical basis for increases in precipitation extremes in simulations of 21st-century climate change. Proc Natl Acad Sci U S A 106:14773–14777CrossRefGoogle Scholar
  35. Oueslati B, Bellon G (2015) The double ITCZ bias in CMIP5 models: interaction between SST, large-scale circulation and precipitation. Clim Dyn 44:585–607CrossRefGoogle Scholar
  36. Papaioannou G, Kitsara G, Athanasatos S (2011) Impact of global dimming and brightening on reference evapotranspiration in Greece. J Geophys Res 116:644–644CrossRefGoogle Scholar
  37. Piao S, Ciais P, Huang Y, Shen Z, Peng S, Li J, Zhou L, Liu H, Ma Y, Ding Y, Friedlingstein P, Liu C, Tan K, Yu Y, Zhang T, Fang J (2010) The impacts of climate change on water resources and agriculture in china. Nature 467:43CrossRefGoogle Scholar
  38. Popova Z, Ivanova M, Alexandrov V, Pereira L, Kercheva M, Martins D (2015) Droughts and climate change in Bulgaria: assessing maize crop risk and irrigation requirements in relation to soil and climate region. Bulgarian J Agric Sci 21:35–53Google Scholar
  39. Rana G, Katerji N (1998) A measurement based sensitivity analysis of the Penman-Monteith actual evapotranspiration model for crops of different height and in contrasting water status. Theor Appl Climatol 60:141–149CrossRefGoogle Scholar
  40. Rayner DP (2007) Wind run changes: the dominant factor affecting pan evaporation trends in Australia. J Clim 20:3379CrossRefGoogle Scholar
  41. Reddy SJ (1995) Sensitivity of some potential evapotranspiration estimation methods to climate change. Agric For Meteorol 77:121–125CrossRefGoogle Scholar
  42. Schlichtholz P (2016) Empirical relationships between summertime oceanic heat anomalies in the Nordic seas and large-scale atmospheric circulation in the following winter. Clim Dyn 47:1–19CrossRefGoogle Scholar
  43. Sharifi A, Dinpashoh Y (2014) Sensitivity analysis of the Penman-Monteith reference crop evapotranspiration to climatic variables in Iran. Water Resour Manag 28:5465–5476CrossRefGoogle Scholar
  44. Thomas A (2000) Spatial and temporal characteristics of potential evapotranspiration trends over China. Int J Climatol 20:381–396CrossRefGoogle Scholar
  45. Tigkas D, Tsakiris G (2015) Early estimation of drought impacts on rainfed wheat yield in Mediterranean climate. Environ Process 2:1–18CrossRefGoogle Scholar
  46. Trenberth KE (2011) Attribution of climate variations and trends to human influences and natural variability. Wiley Interdiscip Rev Clim Chang 2:925–930CrossRefGoogle Scholar
  47. Vicente-Serrano SM, Schrier GVD, Beguería S, Azorin-Molina C, Lopez-Moreno JI (2015) Contribution of precipitation and reference evapotranspiration to drought indices under different climates. J Hydrol 526:42–54CrossRefGoogle Scholar
  48. Walther GR, Post E, Convey P, Menzel A, Parmesan C, Beebee TJ, Fromentin JM, Hoegh-Guldberg O, Bairlein F (2002) Ecological responses to recent climate change. Nature 416:389–395CrossRefGoogle Scholar
  49. Wang JZ, Georgakakos KP (2007) Estimation of potential evapotranspiration in the mountainous Panama Canal watershed. Hydrol Process 21:1901–1917CrossRefGoogle Scholar
  50. Wang L, Xie XQ, Li YS, Tang DY (2004) Changes of humid index and borderline of wet and dry climate zone in northern China over the past 40 years. Geogr Res 23:45–54Google Scholar
  51. Wang YP, Huang Y, Zhang W (2008) Variation and tendency of surface aridity index from 1960 to 2005 in three provinces of Northeast China. Adv Earth Science 23:619–627Google Scholar
  52. Wang Q, Shi P, Lei T, Geng G, Liu J, Mo X, Li X, Zhou H, Wu J (2015) The alleviating trend of drought in the Huang-Huai-Hai plain of China based on the daily SPEI. Int J Climatol 35:3760–3769CrossRefGoogle Scholar
  53. Wentz FJ, Ricciardulli L, Hilburn K, Mears C (2007) How much more rain will global warming bring? Science 317:233–235CrossRefGoogle Scholar
  54. Yang X, Lin E, Ma S, Ju H, Guo L, Xiong W, Li Y, Xu Y (2007) Adaptation of agriculture to warming in Northeast China. Clim Chang 84:45–58CrossRefGoogle Scholar
  55. Yin Y, Wu S, Gang C, Dai E (2010) Attribution analyses of potential evapotranspiration changes in China since the 1960s. Theor Appl Climatol 101:19–28CrossRefGoogle Scholar
  56. Yin XG, Jabloun M, Olesen JE, Öztürk I, Chen MWF (2016) Effects of climatic factors, drought risk and irrigation requirement on maize yield in the northeast farming region of China. J Agric Sci 154:1171–1189CrossRefGoogle Scholar
  57. Yu L (2007) Global variations in oceanic evaporation (1958-2005): the role of the changing wind speed. J Clim 20:5376CrossRefGoogle Scholar
  58. Yue W, Liu X, Wang T, Chen X (2016) Impacts of water saving on groundwater balance in a large-scale arid irrigation district, Northwest china. Irrig Sci 34:297–312CrossRefGoogle Scholar
  59. Zhang X, Kang S, Zhang L, Liu J (2010a) Spatial variation of climatology monthly crop reference evapotranspiration and sensitivity coefficients in Shiyang river basin of northwest China. Agric Water Manag 97:1506–1516CrossRefGoogle Scholar
  60. Zhang YG, Nearing MA, Zhang XC, Xie Y, Wei H (2010b) Projected rainfall erosivity changes under climate change from multi-model and multi-scenario projections in Northeast China. J Hydrol 384:97–106CrossRefGoogle Scholar
  61. Zhao XL (2010) Influence of climate change on agriculture in Northeast China in recent 50 years. J Northeast Agric Univ 41:144–149Google Scholar

Copyright information

© Springer-Verlag GmbH Austria 2017

Authors and Affiliations

  • Qi Hu
    • 1
    • 2
  • Feifei Pan
    • 3
  • Xuebiao Pan
    • 1
    • 2
  • Liting Hu
    • 1
    • 2
  • Xiaoxiao Wang
    • 1
    • 2
  • Pengyu Yang
    • 1
    • 2
  • Pei Wei
    • 1
    • 2
  • Zhihua Pan
    • 1
    • 2
  1. 1.College of Resources and Environmental SciencesChina Agricultural UniversityBeijingChina
  2. 2.Scientific and Observing Experimental Station of Agro-Environment, Ministry of AgricultureHohhotChina
  3. 3.Department of Geography and the EnvironmentUniversity of North TexasDentonUSA

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