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Temporal and spatial evolution trends of drought in northern Shaanxi of China: 1960–2100

  • Xiaoyun Wang
  • La Zhuo
  • Chong Li
  • Bernard A Engel
  • Shikun Sun
  • Yubao WangEmail author
Original Paper
  • 60 Downloads

Abstract

Drought prediction and assessment are the basis for addressing climate change and extreme weather. Northern Shaanxi is an important energy base and ecological barrier in China. Mitigating the threat of drought is necessary for sustainable development of the economy and society of the region. There are great uncertainties in drought predication because of climate change. Based on historical meteorological data and a multi-model ensemble mean value, temporal and spatial variation characteristics of drought in northern Shaanxi during the historical time period (1960–2018) and the future time period (2020–2100) were analyzed by detrending, Mann–Kendall trend test (MK), empirical orthogonal function spatial analysis (EOF), and wavelet analysis. The results show that the multi-model ensemble mean value provides a better simulation of precipitation and temperature in northern Shaanxi. The application of the Standardized Precipitation Evapotranspiration Index (SPEI) in the region is superior to the Standardized Precipitation Index (SPI) and self-calibrated Palmer Drought Index (sc-PDSI). The interannual dry and wet changes in the northern Shaanxi region during the historical period (1960–2018) can be divided into two periods. Overall, the drought index showed a significant decrease, and spring drought increased. In the future, precipitation and temperature in the region will increase from south to north, with the largest increase in the west. In the middle and late twenty-first century, due to the significant increase in temperature, the aridification trend in northern Shaanxi may be aggravated, which is consistent with the trend of drought in northern China. The future of spring drought is grim, and summer drought has an increasingly frequent trend. Making full use of water resources and accelerating the construction of the Yellow River diversion project are effective ways to alleviate drought and water shortage in the region.

Notes

Funding information

This work was jointly supported by the Science and Technology Integrated Innovation Project, Shaanxi Province of China (2016TZC-N-14-1) and the National Natural Science Foundation of China (41871207).

References

  1. Brutsaert W (2006) Indications of increasing land surface evaporation during the second half of the 20th century. Geophys Res Lett 33(20):382–385Google Scholar
  2. Burke EJ, Brown SJ, Christidis N (2006) Modeling the recent evolution of global drought and projections for the twenty-first century with the Hadley Centre climate model. J Hydrometeorol 7(5):1113–1125Google Scholar
  3. Cai X, Wang D, Hejazi MI, Valocchi AJ (2010) Climate change impact on meteorological, hydrological, and agricultural drought: a case study of Central Illinois. Sociologija I Prostor 47(185):263–283Google Scholar
  4. Cao M (2013) Water price estimate of continued sharing diversion project from the Yellow River to Yanhuangding of Shaan-Gan-Ning region. Yellow River 35(1):32–35Google Scholar
  5. Cook BI, Smerdon JE, Seager R, Coats S (2014) Global warming and 21st century drying. Clim Dyn 43(9-10):2607–2627Google Scholar
  6. Dai XG, Wang P, Zhang KJ (2013) A study on precipitation trend and fluctuation mechanism in northwestern China over the past 60 years. Acta Physica Sinica 62(12):129201–10Google Scholar
  7. Dong Y, Luo Y (2008) Study on water resources carrying capacity of Yulin energy base. J Yulin Coll 18(4):1–3Google Scholar
  8. Fan L, Fu C, Chen D (2005) Review on creating future climate change scenarios by statistical downscaling techniques. Adv Earth Science 20(3):320–329Google Scholar
  9. Gao X, Zhao Q, Zhao XN, Wu PT, Pan WX, Gao XD, Sun M (2017) Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050. Sci Total Environ 595:191–200Google Scholar
  10. Hong W, Svoboda MD, Hayes MJ, Wilhite DA, Wen FJ (2007) Appropriate application of the standardized precipitation index in arid locations and dry seasons. Int J Climatol 27(1):65–79Google Scholar
  11. Hu S, Mo XG, Lin ZH (2015) Projections of spatial-temporal variation of drought in north China. Arid Land Geography 38(2):239–248Google Scholar
  12. Jenkins K, Warren R (2015) Quantifying the impact of climate change on drought regimes using the Standardised Precipitation Index. Theor Appl Climatol 120(1-2):41–54Google Scholar
  13. Jiang RG, Xie JC, He HL, Luo JG, Zhu JW (2015) Use of four drought indices for evaluating drought characteristics under climate change in Shaanxi, China: 1951–2012. Nat Hazards 75(3):2885–2903Google Scholar
  14. Kim DH, Yoo C, Kim TW (2011) Application of spatial EOF and multivariate time series model for evaluating agricultural drought vulnerability in Korea. Adv Water Resour 34(3):340–350Google Scholar
  15. Kim BS, Chang IG, Sung JH, Han HJ (2016) Projection in future drought hazard of South Korea based on RCP climate change scenario 8.5 using SPEI. Adv Meteorol 2016(148710):1–23Google Scholar
  16. Leng GY, Tang QH, Rayburg S (2015) Climate change impacts on meteorological, agricultural and hydrological droughts in China. Glob Planet Chang 126:23–34Google Scholar
  17. Li W, Yi X, Hou M, Chen H, Chen Z (2012) Standardized precipitation evapotranspiration index shows drought trends in China. Chin J Eco-Agric 20(5):643–649Google Scholar
  18. Li LC, Yao N, Li Y, Liu DL, Wang B, Ayantobo OO (2018) Future projections of extreme temperature events in different sub-regions of China. Atmos Res 217(2019):150–164Google Scholar
  19. Liu DL, Zuo HP (2012) Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia. Clim Chang 115(3-4):629–666Google Scholar
  20. Liu L, Yang H, Bednarczyk CN, Bin Y, Shafer MA, Riley R, Hocker JE (2012) Hydro-climatological drought analyses and projections using meteorological and hydrological drought indices: a case study in Blue River Basin, Oklahoma. Water Resour Manag 26(10):2761–2779Google Scholar
  21. Liu XY, Wang JS, Li DL, Yue P, Li YH, Yao YB (2013a) Interannual and interdecadal atmospheric circulation anomalies of autumn dry/wet over the loess plateau and its multi-scalar correlation to SST. Acta Phys Sin (21):527–541Google Scholar
  22. Liu L, Yang H, Looper J, Riley R (2013b) Climatological drought analyses and projection using SPI and PDSI: Case study of the Arkansas Red River Basin. J Hydrol Eng 18(7):809–816Google Scholar
  23. Liu YZ, Wu CQ, Rui J, Huang JP (2018a) An overview of the influence of atmospheric circulation on the climate in arid and semi-arid region of Central and East Asia. Sci China Earth Sci 9:1–12Google Scholar
  24. Liu XF, Zhu XF, Pan YZ, Bai JJ, Li SS (2018b) Performance of different drought indices for agriculture drought in the North China Plain. J Arid Land 10(4):507–516Google Scholar
  25. McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales, Proceedings of the 8th Conference on Applied Climatology. American Meteorological Society, Boston, MA, pp 179–183Google Scholar
  26. Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391(1):202–216Google Scholar
  27. Morel P (1988) An introduction to three-dimensional climate modeling. EOS Trans Am Geophys Union 69(2):27–27Google Scholar
  28. Palmer WC (1965) Meteorological drought. Research paper no. 45. US Department of Commerce. Weather Bureau, Washington, DC, p 59Google Scholar
  29. Solomon S (2007) The physical science basis: Contribution of Working Group I to the fourth assessment report of the Intergovernmental Panel on Climate Change. Intergovernmental Panel on Climate Change (IPCC). Climate Change 2007:996Google Scholar
  30. Sun JY, Liu Y, Sun B, Wang RY (2012) Tree-ring based PDSI reconstruction since 1853 AD in the source of the Fenhe River Basin, Shanxi Province, China. Sci China Earth Sci 55(11):1847–1854Google Scholar
  31. Sun SK, Li C, Wu PT, Zhao XN, Wang YB (2018) Evaluation of agricultural water demand under future climate change scenarios in the Loess Plateau of Northern Shaanxi, China. Ecol Indic 84:811–819Google Scholar
  32. Tan CP, Yang JP, Li M (2015) Temporal-spatial variation of drought indicated by SPI and SPEI in Ningxia Hui Autonomous Region, China. Atmosphere 6(10):1399–1421Google Scholar
  33. Tatli H, Türkeş M (2011) Empirical orthogonal function analysis of the Palmer drought indices. Agric For Meteorol 151(7):981–991Google Scholar
  34. Taylor IH, Burke E, Mccoll L, Falloon P, Harris GR, McNEALL D (2012). Contributions to uncertainty in projections of future drought under climate change scenarios. Hydrology and Earth System Sciences Discussions 9(11):12613–12653Google Scholar
  35. Taylor IH, Burke E, McColl L, Falloon PD, Harris GR, McNeall D (2013) The impact of climate mitigation on projections of future drought. Hydrol Earth Syst Sci 17(6):2339Google Scholar
  36. Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79(1):61–78Google Scholar
  37. Touma D, Ashfaq M, Nayak MA, Kao SC, Diffenbaugh NS (2015) A multi-model and multi-index evaluation of drought characteristics in the 21st century. J Hydrol 526:196–207Google Scholar
  38. Trenberth KE, Dai AG, Gerard VDS, Jones PD, Barichivich J, Briffa KR, Sheffield J (2014) Global warming and changes in drought. Nat Clim Chang 4:17–22Google Scholar
  39. Vicente-Serrano SM, Beguería S, López-Moreno JI (2010a) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23(7):1696–1718Google Scholar
  40. Vicente-Serrano SM, Beguería S, López-Moreno JI, Angulo M, Kenawy AEL (2010b) A new global 0.5 gridded data set (1901–2006) of a multiscalar drought index: comparison with current drought index data sets based on the Palmer Drought Severity Index. J Hydrometeorol 11(4):1033–1043Google Scholar
  41. Wang L, Chen W (2014) A CMIP5 multimodel projection of future temperature, precipitation, and climatological drought in China. Int J Climatol 34(6):2059–2078Google Scholar
  42. Wang KL, Jiang H, Zhao HY, (2005) Atmospheric water vapor transport from westerly and monsoon over the northwest China. advances in water science 16(3):432-438.Google Scholar
  43. Wang JS, Li YH, Wang RY, Feng JY, Zhao YX (2012a) Preliminary analysis on the demand and review of progress in the field of meteorological drought research. J Arid Meteorol 30(4):497–508Google Scholar
  44. Wang GQ, Zhang JY, Jin JL, Pagan TC (2012b) Assessing water resources in China using PRECIS projections and a VIC model. Hydrol Earth Syst Sci 16(1):231–240Google Scholar
  45. Wang YJ, Lu RJ, Ma YZ, Sang YL, Meng HW, Gao SY (2013) Annual variation in PDSI since 1897 AD in the Tengger Desert, Inner Mongolia, China, as recorded by tree-ring data. J Arid Environ 98:20–26Google Scholar
  46. Wang HJ, Chen YN, Pan YP, Li WH (2015a) Spatial and temporal variability of drought in the arid region of China and its relationships to teleconnection indices. J Hydrol 523:283–296Google Scholar
  47. Wang LN, Zhu QK, Zhao WJ, Zhao XK (2015b) The drought trend and its relationship with rainfall intensity in the Loess Plateau of China. Nat Hazards 77(1):479–495Google Scholar
  48. Wang ZL, Li J, Lai CG, Zeng ZY, Zhong RD, Chen XH, Zhou XW, Wang MY (2017) Does drought in China show a significant decreasing trend from 1961 to 2009? Sci Total Environ 579:314–324Google Scholar
  49. Wells N, Goddard S, Hayes MJ (2004) A self-calibrating Palmer drought severity index. J Clim 17(12):2335–2351Google Scholar
  50. Wen X, Wang B (2016) Predictability and prediction of summer rainfall in the arid and semi-arid regions of China. Clim Dyn 49(1-2):1–13Google Scholar
  51. Wu LL, Ren ZY, Zhang C (2014) Response of NDVI to temperature and precipitation changes and its lag time in North Shaanxi. Chin J Agrometeorol 35(1):103–108Google Scholar
  52. Xu CH, Luo Y, Xu Y (2010) Simulation and prediction of the drought variations in China by multi-model ensemble. J Glaciol Geocryol 32(5):867–874Google Scholar
  53. Yang WZ, Shao MA (2000) Study on soil moisture in the Loess Plateau. Science Press, Beijing, pp. 251–252 Google Scholar
  54. Yang J, Gong DY, Wang WS, Hu M, Mao R (2012) Extreme drought event of 2009/2010 over southwestern China. Meteorog Atmos Phys 115(3-4):173–184Google Scholar
  55. Yang Y, Liu DL, Muhuddin RA, Zuo HP, Yang YH (2014) Impact of future climate change on wheat production in relation to plant-available water capacity in a semiarid environment. Theor Appl Climatol 115(3-4):391–410Google Scholar
  56. Yang TT, Tao YM, Li JJ, Zhu Q, Su L, He XJ, Zhang XM (2017) Multi-criterion model ensemble of CMIP5 surface air temperature over China. Theor Appl Climatol 132(3-4):1057–1072Google Scholar
  57. Ye L, Zhou J, Zeng XF, Zhang HR, Lu P (2015) Application of SPEI for the changes of drought in JiaLing river basin under climate change. Resour Environ Yangtze Basin 24(6):943–948Google Scholar
  58. Zeng X, Zhao N, Sun H, Ye L, Zhai J (2015) Changes and relationships of climatic and hydrological droughts in the Jialing River Basin, China. PLoS One 10(11):e0141648Google Scholar
  59. Zhai Y, Wen K (2005) Chinese meteorological disaster code (Shaanxi Volume). China Meteorological PressGoogle Scholar
  60. Zhai JQ, Su BD, Krysanova V, Vetter T, Gao C, Jiang T (2010) Spatial variation and trends in PDSI and SPI indices and their relation to streamflow in 10 large regions of China. J Clim 23(3):649–663Google Scholar
  61. Zhang BQ (2014) Study on spatiotemporal variability of drought and rainwater harvesting potential on the Chinese Loess Plateau. Northwest A&F UniversityGoogle Scholar
  62. Zhang LX, Zhou TJ (2015) Drought over East Asia: a review. J Clim 28(8):150203142724009Google Scholar
  63. Zhang BQ, Wu PT, Zhao XN, Gao XD (2012) Study on regional drought assessment based on variable infiltration capacity model and palmer drought severity index. J Hydraul Eng 43(8):926–934Google Scholar
  64. Zhang BQ, Wu PT, Zhao XN, Wang YB (2013) Rainwater harvesting potential and its spatial-temporal variation in Loess Plateau of China. J DrainIrrigation Mach Eng 31(7):636–644Google Scholar
  65. Zhang Q, Sun P, Li JF, Singh VP, Liu JY (2015) Spatiotemporal properties of droughts and related impacts on agriculture in Xinjiang, China. Int J Climatol 35(7):1254–1266Google Scholar
  66. Zhou Y, Li N, Ji ZH, Gu XT, Fan BH (2013) Temporal and spatial patterns of droughts based on standard precipitation index (SPI) in Inner Mongolia during 1981–2010. J Nat Resour 28:1694–1706Google Scholar

Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019
corrected publication 2019

Authors and Affiliations

  • Xiaoyun Wang
    • 1
    • 2
  • La Zhuo
    • 2
    • 3
  • Chong Li
    • 1
    • 2
  • Bernard A Engel
    • 4
  • Shikun Sun
    • 1
    • 2
    • 5
  • Yubao Wang
    • 1
    • 2
    • 4
    • 5
    Email author
  1. 1.Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of EducationNorthwest A&F UniversityYanglingPeople’s Republic of China
  2. 2.Institute of Water Saving Agriculture in Arid regions of ChinaNorthwest A&F UniversityYanglingPeople’s Republic of China
  3. 3.Institute of Soil and Water Conservation of Northwest A&F UniversityYanglingPeople’s Republic of China
  4. 4.Department of Agricultural and Biological EngineeringPurdue UniversityWest LafayetteUSA
  5. 5.College of Water Resources and Architectural EngineeringNorthwest A&F UniversityYanglingPeople’s Republic of China

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