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Is Southwest China drying or wetting? Spatiotemporal patterns and potential causes

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Abstract

With significant climate warming, droughts over Southwest (SW) China are drawing increasing interest. By using the Mann-Kendall trend test, the continuous wavelet transform (CWT), the rotated empirical orthogonal function (REOF), and the random forest method (RF), this study focused on the trends and spatial variability in wetness/dryness as well as further investigated the potential factors by analyzing the behaviors of precipitation, temperature, and teleconnection indices in SW China. Results show that there are a slight drying trend and a remarkable spatial variation in the patterns of wetness/dryness. Due to the decreasing precipitation and increasing temperature, the drying trend (especially for severe and extreme droughts) significantly increases in the Yunnan-Guizhou Plateau and the Chongqing-Hubei region in the past decades. Additionally, the droughts in this region may also be directly or indirectly affected by the complex karst topographic and hydrological process. The variable importance analysis between climate index and standardized precipitation evapotranspiration index (SPEI) suggests that Atlantic Oscillation (AO) and Sunspots (SS) are the two most important influencing factors for the variations in dryness/wetness over SW China. Particularly, SS (AO) can be the largest influencing factor for the Yunnan-Guizhou Plateau and the Chongqing-Hubei region (Northern and Central Tibet). Besides, El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Indian Ocean Dipole (IOD), and Pacific Decadal Oscillation (PDO) indices also show an impact on the variations in dryness/wetness, but their contributions are different in different regions. The results of this study provide certain references for mitigating the potential widespread impact of drought hazards in SW China.

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References

  • Ai FF, Bin J, Zhang ZM, Huang JH, Wang JB, Liang YZ, Yang ZY (2014) Application of random forests to select premium quality vegetable oils by their fatty acid composition. Food Chem 143:472–478

    Google Scholar 

  • Allen R.G, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. Fao, Rome, 300(9), D05109

  • Barriopedro D, Gouveia CM, Trigo RM, Wang L (2012) The 2009/10 drought in China: possible causes and impacts on vegetation. J Hydrometeorol 13(4):1251–1267

    Google Scholar 

  • Beguería S, Vicente-Serrano SM, Reig F, Latorre B (2014) Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int J Climatol 34(10):3001–3023

    Google Scholar 

  • Breiman L (2001) Random forests. Mach Learn 45(1):5–32

    Article  Google Scholar 

  • Chen H, Sun J (2017) Anthropogenic warming has caused hot droughts more frequently in China. J Hydrol 544:306–318

    Google Scholar 

  • Crausbay SD, Ramirez AR, Carter SL, Cross MS, Hall KR, Bathke DJ, Dunham JB (2017) Defining ecological drought for the twenty-first century. Bull Am Meteorol Soc 98(12):2543–2550

    Google Scholar 

  • Dai A (2011) Drought under global warming: a review. Wiley Interdiscip Rev Clim Chang 2(1):45–65

    Google Scholar 

  • Dai A (2013) Increasing drought under global warming in observations and models. Nat Clim Chang 3:52–58

    Google Scholar 

  • Dong L, Zhang P, Liu J, Tong X, Xie H (2017) Combined influence of solar activity and ENSO on hydrological processes in Yoshino River basin, Japan. Adv Water Sci 28:671–680

    Google Scholar 

  • Donohue RJ, McVicar TR, Roderick ML (2010) Assessing the ability of potential evaporation formulations to capture the dynamics in evaporative demand within a changing climate. J Hydrol 386(1–4):186–197

    Google Scholar 

  • Dufois F, Hardman-Mountford NJ, Greenwood J, Richardson AJ, Feng M, Matear RJ (2016) Anticyclonic eddies are more productive than cyclonic eddies in subtropical gyres because of winter mixing. Sci Adv 2(5):1–6

    Google Scholar 

  • Feng L, Li T, Yu W (2014) Cause of severe droughts in Southwest China during 1951–2010. Clim Dyn 43(7–8):2033–2042

    Google Scholar 

  • Fu C, James AL, Wachowiak MP (2012) Analyzing the combined influence of solar activity and El Niño on streamflow across southern Canada. Water Resour Res 48(5):1–19

    Google Scholar 

  • Gao H, Yang S (2009) A severe drought event in northern China in winter 2008–2009 and the possible influences of La Niña and Tibetan Plateau. Journal of Geophysical Research: Atmospheres 114:D24104

    Google Scholar 

  • Guo F, Jiang G, Yuan D, Polk JS (2013) Evolution of major environmental geological problems in karst areas of Southwestern China. Environ. Earth Sci 69(7):2427–2435

    Google Scholar 

  • Hannachi A, Jolliffe IT, Stephenson DB (2007) Empirical orthogonal functions and related techniques in atmospheric science: a review. Int J Climatol 27(9):1119–1152

    Google Scholar 

  • Hao C, Zhang J, Yao F (2015) Combination of multi-sensor remote sensing data for drought monitoring over Southwest China. Int J Appl Earth Obs Geoinf 35:270–283

    Google Scholar 

  • Hodell DA, Brenner M, Curtis JH, Guilderson T (2001) Solar forcing of drought frequency in the Maya lowlands. Science 292(5520):1367–1370

    Google Scholar 

  • Huang Q, Zhang Q, Singh VP, Shi P, Zheng Y (2017) Variations of dryness/wetness across China: changing properties, drought risks, and causes. Glob Planet Chang 155:1–12

    Google Scholar 

  • Huang Z, Yeh PJF, Pan Y, Jiao JJ, Gong H, Li X, Güntner A, Zhu Y, Zhang C, Zheng L (2019) Detection of large-scale groundwater storage variability over the karstic regions in Southwest China. J Hydrol 569:409–422

    Google Scholar 

  • Hudgins L, Huang J (1996) Bivariate wavelet analysis of Asia monsoon and ENSO. Adv Atmos Sci 13(3):299–312

    Google Scholar 

  • Huntington TG (2006) Evidence for intensification of the global water cycle: review and synthesis. J Hydrol 319(1–4):83–95

    Google Scholar 

  • Jiang Z, Lian Y, Qin X (2014) Rocky desertification in Southwest China: impacts, causes, and restoration. Earth Sci Rev 132:1–12

    Google Scholar 

  • Kallis G (2008) Droughts. Annu Rev Env Resour 33:85–118

    Google Scholar 

  • Kendall MG (1955) Rank correlation methods. Griffin, London

    Google Scholar 

  • Lacombe G, Hoanh CT, Smakhtin V (2012) Multi-year variability or unidirectional trends? Mapping long-term precipitation and temperature changes in continental Southeast Asia using PRECIS regional climate model. Clim Chang 113(2):285–299

    Google Scholar 

  • Lai C, Chen X, Wang Z, Wu X, Zhao S, Wu X, Bai W (2016) Spatio-temporal variation in rainfall erosivity during 1960–2012 in the Pearl River Basin, China. Catena 137:382–391

    Google Scholar 

  • Lai C, Li J, Wang Z, Wu X, Zeng Z, Chen X, Bai X (2018) Drought-induced reduction in net primary productivity across mainland China from 1982 to 2015. Remote Sens 10(9):1433

    Google Scholar 

  • Li R, Hua P, Cai J, Wang X, Zhu Y, Huang Z, Li P, Wang Z, Bai Y, Hu BX, Zhang J (2019) A sixteen-year reduction in the concentrations of aquatic PAHs corresponding to source shifts in the Elbe River, Germany. J Clean Prod 223:631–640

    Google Scholar 

  • Liu B, Chen C, Lian Y, Chen J, Chen X (2015a) Long-term change of wet and dry climatic conditions in the southwest karst area of China. Glob Planet Chang 127:1–11

    Google Scholar 

  • Liu B, Li Y, Chen J, Chen X (2015b) Long-term change in precipitation structure over the karst area of Southwest China. Int J Climatol 36(6):2417–2434

    Google Scholar 

  • Liu M, Xu X, Sun A (2015c) Decreasing spatial variability in precipitation extremes in southwestern China and the local/large-scale influencing factors. Journal of Geophysical Research: Atmospheres 120(13):6480–6488

    Google Scholar 

  • Liu Y, Wang N, Wang L, Guo Z, Wu X (2016) Variation of cloud amount over China and the relationship with ENSO from 1951 to 2014. Int J Climatol 36(8):2931–2941

    Google Scholar 

  • Liu M, Xu X, Sun AY, Wang K (2017) Decreasing spatial variability of drought in southwest China during 1959–2013. Int J Climatol 37(13):4610–4619

    Google Scholar 

  • Long D, Shen Y, Sun A, Hong Y, Laurent L, Yang Y, Li B, Chen L (2014) Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data. Remote Sens Environ 155:145–160

    Google Scholar 

  • Lü JM, Ju JH, Kim SJ, Ren JZ, Zhu YX (2008) Arctic oscillation and the autumn/winter snow depth over the Tibetan plateau. Journal of Geophysical Research: Atmospheres 113:D14

    Google Scholar 

  • Lu E, Luo YL, Zhang RH, Wu QX, Liu LP (2011) Regional atmospheric anomalies responsible for the 2009–2010 severe drought in China. J. Geophys. Res.-Atmos 116:D21114

    Google Scholar 

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

    Google Scholar 

  • Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391(1):202–216

    Google Scholar 

  • Mukherjee S, Mishra A, Trenberth KE (2018) Climate change and drought: a perspective on drought indices. Current Climate Change Reports 4:145–163

    Google Scholar 

  • Naumann G, Alfieri L, Wyser K, Mentaschi L, Betts RA, Carrao H, Feyen L (2018) Global changes in drought conditions under different levels of warming. Geophys Res Lett 45(7):3285–3296

    Google Scholar 

  • Piervitali E, Colacino M (2001) Evidence of drought in western Sicily during the period 1565–1915 from liturgical offices. Clim Chang 49(1–2):225–238

    Google Scholar 

  • Qin J, Yang K, Liang SL, Guo XF (2009) The altitudinal dependence of recent rapid warming over the Tibetan plateau. Clim Chang 97:321–327

    Google Scholar 

  • Qin Z, Tang H, Li W, Zhang H, Zhao S, Wang Q (2014) Modelling impact of agro-drought on grain production in China. International Journal of Disaster Risk Reduction 7:109–121

    Google Scholar 

  • Richman MB (1986) Rotation of principal components. J Climatol 6(3):293–335

    Google Scholar 

  • Schneider SH (ed) (1996) Encyclopaedia of climate and weather. Oxford University Press, New York

    Google Scholar 

  • Schwalm CR, Anderegg WR, Michalak AM, Fisher JB, Biondi F, Koch G, Huntzinger DN (2017) Global patterns of drought recovery. Nature 548(7666):202–205

    Google Scholar 

  • Shen Y, Feng M, Zhang H, Gao F (2010) Interpolation methods of China daily precipitation data. J Appl Meteorol Sci 21(3):279–286 (In Chinese)

    Google Scholar 

  • Shi P, Wu M, Qu S, Jiang P, Qiao X, Chen X, Zhang Z (2015) Spatial distribution and temporal trends in precipitation concentration indices for the Southwest China. Water Resour Manag 29(11):3941–3955

    Google Scholar 

  • Sun S, Li Q, Li J, Wang G, Zhou S, Chai R, Hua W, Deng P, Wang J, Lou W (2019) Revisiting the evolution of the 2009–2011 meteorological drought over Southwest China. J Hydrol 568:385–402

    Google Scholar 

  • Tan L, Cai Y, Yi L, An Z, Ai L (2008) Precipitation variations of Longxi, northeast margin of Tibetan plateau since AD 960 and their relationship with solar activity. Clim Past 4(1):19–28

    Google Scholar 

  • Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38(1):55–94

    Google Scholar 

  • Torrence C, Compo GP (1998) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79(1):61–78

    Google Scholar 

  • Van der Schrier G, Jones PD, Briffa KR (2011) The sensitivity of the PDSI to the Thornthwaite and penman-Monteith parameterizations for potential evapotranspiration. Journal of Geophysical Research: Atmospheres 116(D3)

  • Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23(7):1696–1718

    Google Scholar 

  • Wang L, Chen W, Zhou W (2014) Assessment of future drought in Southwest China based on CMIP5 multimodel projections. Adv Atmos Sci 31(5):1035–1050

    Google Scholar 

  • Wang L, Chen W, Zhou W, Huang G (2015a) Drought in Southwest China: a review. Atmos Ocean Sci Lett 8(6):339–344

    Google Scholar 

  • Wang H, Chen Y, Pan Y, Li W (2015b) Spatial and temporal variability of drought in the arid region of China and its relationships to teleconnection indices. J Hydrol 523:283–296

    Google Scholar 

  • Wang Z, Lai C, Chen X, Yang B, Zhao S, Bai X (2015c) Flood hazard risk assessment model based on random forest. J Hydrol 527:1130–1141

    Google Scholar 

  • Wang Z, Li J, Lai C, Zeng Z, Zhong R, Chen X, Wang M (2017) Does drought in China show a significant decreasing trend from 1961 to 2009? Sci Total Environ 579:314–324

    Google Scholar 

  • Wang L, Huang G, Chen W, Zhou W, Wang W 2018a. Wet-to-dry shift over Southwest China in 1994 tied to the warming of tropical warm pool. Clim Dyn 1–13

  • Wang Z, Zhong R, Lai C, Zeng Z, Lian Y, Bai X (2018b) Climate change enhances the severity and variability of drought in the Pearl River Basin in South China in the 21st century. Agric For Meteorol 249:149–162

    Google Scholar 

  • Xu K, Yang D, Xu X, Lei H (2015) Copula based drought frequency analysis considering the spatio-temporal variability in Southwest China. J Hydrol 527:630–640

    Google Scholar 

  • Xu K, Xu BB, Ju JL, Wu CH, Dai H, Hu BX (2019) Projection and uncertainty of precipitation extremes in the CMIP5 multimodel ensembles over nine major basins in China. Atmos Res 226:122–137. https://doi.org/10.1016/j.atmosres.2019.04.018

    Article  Google Scholar 

  • Yao TD, Thompson L, Yang W, Yu WS, Gao Y, Guo XJ, Yang XX, Duan KQ, Zhao HB, Xu BQ, Pu JC, Lu AX, Xiang Y, Kattel DB, Joswiak D (2012) Different glacier status with atmospheric circulations in Tibetan plateau and surroundings. Nat Clim Chang 2:663–667

    Google Scholar 

  • Yao N, Li Y, Lei T, Peng L (2018) Drought evolution, severity and trends in mainland China over 1961–2013. Sci Total Environ 616:73–89

    Google Scholar 

  • Yeh CC, Chi DJ, Lin YR (2014) Going-concern prediction using hybrid random forests and rough set approach. Inf Sci 254:98–110

    Google Scholar 

  • Yin H, Donat MG, Alexander LV, Sun Y (2015) Multi-dataset comparison of gridded observed temperature and precipitation extremes over China. Int J Climatol 35(10):2809–2827

    Google Scholar 

  • You Q, Min J, Kang S (2016) Rapid warming in the Tibetan plateau from observations and CMIP5 models in recent decades. Int J Climatol 36(6):2660–2670

    Google Scholar 

  • Yu M, Li Q, Hayes MJ, Svoboda MD, Heim RR (2014) Are droughts becoming more frequent or severe in China based on the standardized precipitation evapotranspiration index: 1951–2010? Int J Climatol 34(3):545–558

    Google Scholar 

  • Yuan BH (ed) (2007) Research on groundwater resources and eco-environmental geology in the Karst Mountain areas of Southwest China. Publishing House of the Electronic Scientific and Technological University, Chengdu

    Google Scholar 

  • Zanchettin D, Rubino A, Traverso P, Tomasino M (2008) Impact of variations in solar activity on hydrological decadal patterns in northern Italy. Journal of Geophysical Research: Atmospheres 113:D12

    Google Scholar 

  • Zarch MAA, Sivakumar B, Sharma A (2015) Droughts in a warming climate: a global assessment of standardized precipitation index (SPI) and reconnaissance drought index (RDI). J Hydrol 526:183–195

    Google Scholar 

  • Zhai J, Huang J, Su B, Cao L, Wang Y, Jiang T, Fischer T (2017) Intensity-area-duration analysis of droughts in China 1960–2013. Clim Dyn 48(1–2):151–168

    Google Scholar 

  • Zhang M, He J, Wang B, Wang S, Li S, Liu W, Ma X (2013a) Extreme drought changes in Southwest China from 1960 to 2009. J Geogr Sci 23(1):3–16

    Google Scholar 

  • Zhang W, Jin FF, Zhao JX, Qi L, Ren HL (2013b) The possible influence of a nonconventional El Niño on the severe autumn drought of 2009 in Southwest China. J Clim 26(21):8392–8405

    Google Scholar 

  • Zheng Y, He Y, Chen X (2017) Spatiotemporal pattern of precipitation concentration and its possible causes in the Pearl River basin, China. J Clean Prod 161:1020–1031

    Google Scholar 

  • Zhong R, Chen X, Lai C, Wang Z, Lian Y, Yu H, Wu X (2019) Drought monitoring utility of satellite-based precipitation products across mainland China. J Hydrol 568:343–359

    Google Scholar 

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Funding

This research was supported by the National Natural Science Foundation of China (Grant No. 51709127), the Natural Science Foundation of Guangdong Province, China (Grant No. 2017A030310172), the Open Project Program of Chongqing Key Laboratory of Karst Environment (Grant No. Cqk 201702), and the Water Resource Science and Technology Innovation Program of Guangdong Province (Grant No. 2017-26).

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Wang, P., Wu, X., Hao, Y. et al. Is Southwest China drying or wetting? Spatiotemporal patterns and potential causes. Theor Appl Climatol 139, 1–15 (2020). https://doi.org/10.1007/s00704-019-02935-4

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