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Spatial and temporal variations in rainfall erosivity during 1960–2005 in the Yangtze River basin

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Abstract

Water resources and soil erosion are the most important environmental concerns in the Yangtze River basin, where soil erosion and sediment yield are closely related to rainfall erosivity. The present study explores the spatial and temporal changing patterns of the rainfall erosivity in the Yangtze River basin of China during 1960–2005 at annual, seasonal and monthly scales. The Mann–Kendall test is employed to detect the trends during 1960–2005, and the T test is applied to investigate possible changes between 1991–2005 and 1960–1990. Meanwhile the Rescaled Range Analysis is used for exploring future trend of rainfall erosivity. Moreover the continuous wavelet transform technique is using studying the periodicity of the rainfall erosivity. The results show that: (1) The Yangtze River basin is an area characterized by uneven spatial distribution of rainfall erosivity in China, with the annual average rainfall erosivity range from 131.21 to 16842 MJ mm ha−1 h−1. (2) Although the directions of trends in annual rainfall erosivity at most stations are upward, only 22 stations have significant trends at the 90 % confidence level, and these stations are mainly located in the Jinshajiang River basin and Boyang Lake basin. Winter and summer are the seasons showing strong upward trends. For the monthly series, significant increasing trends are mainly found during January, June and July. (3) Generally speaking, the results detected by the T test are quite consistent with those detected by the Mann–Kendall test. (4) The rainfall erosivity of Yangtze River basin during winter and summer will maintain a detected significant increasing trend in the near future, which may bring greater risks to soil erosion. (5) The annual and seasonal erosivity of Yangtze River basin all have one significant periodicity of 2–4 years.

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References

  • Angulo-Martinez M, Begueria S (2009) Estimating rainfall erosivity from daily rainfall records: a comparison among methods using data from the Ebro Basin (NE Spain). J Hydrol 379:111–121

    Article  Google Scholar 

  • Bonilla BA, Vidal KL (2011) Rainfall erosivity in Central Chile. J Hydrol 410:126–133

    Article  Google Scholar 

  • Capolongo D, Diodato N, Mannaerts CM, Piccarreta M, Strobl RO (2008) Analyzing temporal changes in climate erosivity using a simplified rainfall erosivity model in Basilicata (southern Italy). J Hydrol 356:119–130

    Article  Google Scholar 

  • Cheng LL, Zhao WW, Zhang YH, Xu HY (2009) Effect of spatial distribution of rainfall erosivity on soil loss at catchment scale. Trans CSAE 25(12):69–73

    Google Scholar 

  • da Silva AM (2004) Rainfall erosivity map for Brazil. Catena 57:251–259

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Jiang T, Kundzewicz ZW, Su BD (2008) Changes in monthly precipitation and flood hazard in the Yangtze River Basin. China Int J Climatol 28:1471–1481

    Article  Google Scholar 

  • Leek R, Olsen P (2000) Modelling climatic erosivity as a factor for soil erosion in Denmark: changes and temporal trends. Soil Use Manag 16(11):61–65

    Google Scholar 

  • Li ZL, Xu ZX, Li JY, Li ZJ (2008) Shift trend and step changes for runoff time series in the Shiyang River basin, northwest China. Hydrol Process 22:4639–4646

    Article  Google Scholar 

  • Liu CL, Yang QK, Xie HX (2010a) Spatial and temporal distributions of rainfall erosivity in the Yanhe River basin. Environmental science 31(4):850–857 (in Chinese)

    Google Scholar 

  • Liu YL, Liu BH, Wang LG, Yuan WT (2010b) Variation characteristics of rainfall erosivity in Heilongjiang Province. Sci Soil Water Conserv 8(2):24–29

    Google Scholar 

  • Loureiro NS, Coutinho MA (2001) A new procedure to estimate the RUSLE EI30 index based on monthly rainfall data and applied to the Algarve region, Portugal. J Hydrol 250:12–18

    Article  Google Scholar 

  • Luo J, Rong YS, Chen L, Dai LB, Hu YG (2010) Long-term trend of rainfall erosivity in Guangdong Province from 1960 to 2007. J China Hydrol 30(1):79–83

    Google Scholar 

  • Men MX, Yu ZR, Xu H (2008) Study on the spatial pattern of rainfall erosivity based on geostatistics in Hebei Province. China Front Agric China 2(3):281–289

    Article  Google Scholar 

  • Meusburger K, Steel A, Panagos P, Montanarella L, Alewell C (2012) Spatial and temporal variability of rainfall erosivity factor for Switzerland. Hydrol Earth Syst Sci 16:167–177

    Article  Google Scholar 

  • Mitchell JM, Dzerdzeevskii B, Flohn H, Hofmeyr WL, Lamb HH, Rao KN, Walle′n CC (1966) Climate change, WMO Technical Note No. 79, World Meteorological Organization, p 79

  • Nearing MA, Pruski FF, O’Neal (2004) Expected climate change impacts on soil erosion rates: a review. J Soil Water Conserv 59(1):43–50

    Google Scholar 

  • Oduro-Afriyie K (1996) Rainfall erosivity map for Ghana. Geoderma 74:161–166

    Article  Google Scholar 

  • Posch M, Seppo R (2003) Erosivity factor in universal soil loss equation estimated from Finnish rainfall data. J Agric Food Sci Finland 2(4):271–279

    Google Scholar 

  • Qi H, Gantzer CJ, Jung PK, Lee BL (2000) Rainfall erosivity in the Republic of Korea. J Soil Water Conserv 55:115–120

    Google Scholar 

  • Renard KG, Freimund JR (1994) Using monthly precipitation data to estimate the R-factor in the revised USLE. J Hydrol 157:287–306

    Article  Google Scholar 

  • Richardson CW, Foster GR, Wright DA (1983) Estimation of erosion index from daily rainfall amount. Trans ASAE 26(1):153–156

    Google Scholar 

  • Sadeghi SHR, Moatamednia M, Behzadfar M (2011) Spatial and temporal variations in the rainfall erosivity factor in Iran. J Agri Sci Technol 13:451–464

    Google Scholar 

  • Sauerborn P, Klein A, Botschek J (1999) Future rainfall erosivity derived from large-scale climate models: methods and scenarios for a humid region. Geoderma 93(3/4):269–276

    Article  Google Scholar 

  • Storch VH, Navarra A (eds) (1995) Analysis of climate variability applications of statistical techniques. Springer, New York

    Google Scholar 

  • Su BD, Jiang T, Jin WB (2006) Recent trends in observed temperature and precipitation extremes in the Yangtze River basin, China. Theor Appl Climatol 83:139–151

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Wei J, He XB, Bao YH (2011) Anthropogenic impacts on suspended sediment load in the Upper Yangtze river. Reg Environ Change. doi 10.1007/s10113-011-0222-0

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. USDA. Agricultural handbook, vol l537. U.S. Government Printing Office, Washington

  • Wu SY (1994) Simplified method on calculation of runoff erosion force in Dabieshan Mountainous area and its temporal and spatial distribution. Soil Water Conserv China 4:12–13

    Google Scholar 

  • Xin ZB, Yu XX, Li QY, Lu XX (2011) Spatiotemporal variation in rainfall erosivity on the Chinese Loess Plateau during the period 1956–2008. Reg Environ Change 11:149–159

    Article  Google Scholar 

  • Xu ZX, Takeuchi K, Ishidaira H (2003) Monotonic trend and step changes in Japanese precipitation. J Hydrol 279(2/3):144–150

    Article  Google Scholar 

  • Xu JH, Chen YN, Li WH, Dong S (2008) Long-term trend and fractal of annual runoff process in mainstream of Tarim river. Chin Geogr Sci 18(1):77–84

    Article  Google Scholar 

  • Xu CY, Zhang Q, Tahir MEHE, Zhang ZX (2010) Statistical properties of the temperature, relative humidity, and net solar radiation in the Blue Nile-eastern Sudan region. Theor Appl Climatol 101:397–409

    Article  Google Scholar 

  • Yu B (1998) Rainfall erosivity and its estimation for Australia’s tropics. Aust J Soil Res 36:143–165

    Article  Google Scholar 

  • Yu B, Rosewell CJ (1996) An assessment of a daily rainfall erosivity model for New South Wales. Aust J Soil Res 34:139–152

    Article  Google Scholar 

  • Zhang X, Harvey DK, Hogg WD, Yuzyk TR (2001) Trends in Canadian streamflow. Water Resour Res 37(4):987–998

    Article  Google Scholar 

  • Zhang WB, Xie Y, Liu BY (2002) Rainfall erosivity estimation using daily rainfall amounts. Scientia Geographica Sinica 22:705–711 (in Chinese)

    Google Scholar 

  • Zhang WB, Xie Y, Liu BY (2003) Spatial distribution of rainfall erosivity in China. J Mountain Sci 21(1):32–40 (in Chinese)

    CAS  Google Scholar 

  • Zhang Q, Jiang T, Marco G, Stefan B (2005) Precipitation, temperature and runoff analysis from 1950 to 2002 in the Yangtze basin. China Hydrol Sci 50(1):65–80

    Google Scholar 

  • Zhang ZX, Zhang Q, Jiang T (2007) Changing features of extreme precipitation in the Yangtze River basin during 1961–2002. J Geogr Sci. doi: 10.1007/s11442-007-0033-x

  • Zhang Q, Xu C-Y, Zhang ZX, Chen YD, Liu CL, Lin H (2008) Spatial and temporal variability of extreme precipitation during 1960–2005 in the Yangtze River basin and possible association with large-scale circulation. J Hydrol 353:215–227

    Article  Google Scholar 

  • Zhang Q, Xu CY, Zhang ZX, Chen X, Han ZQ (2009) Precipitation extremes in a karst region: a case study in the Guizhou province, southwest China. Theor Appl Climatol. doi: 10.1007/s00704-009-0203-0

  • Zhang Q, Xu CY, Tao H, Jiang T, Chen YD (2010a) Climate changes and their impacts on water resources in the arid regions: a case study of the Tarim River basin, China. Stoch Environ Res Risk Assess 24:349–358

    Article  CAS  Google Scholar 

  • Zhang ZX, Tao H, Zhang Q, Zhang JC, Forher N, Hörmann G (2010b) Moisture budget variations in the Yangtze River Basin, China, and possible associations with large-scale circulation. Stoch Environ Res Risk Assess 24:579–589

    Article  Google Scholar 

Download references

Acknowledgments

This paper was financially supported by Forestry Industry Research special funds for Public Welfare Projects “Study of water resource control function of typical forest vegetation in the region of Yangtze river delta” (No: 201104005-04), fully supported by Key Project of National Science and Technology during the 11th Five-Year Plan (No. 2006BAD03A16), National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2012BAC23B01, 2012BAD16B0305), National 973 Program (2006CB705809). We would like to thank the National Climate Centre (NCC) in Beijing for providing valuable climate datasets.

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Correspondence to Jinchi Zhang.

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Huang, J., Zhang, J., Zhang, Z. et al. Spatial and temporal variations in rainfall erosivity during 1960–2005 in the Yangtze River basin. Stoch Environ Res Risk Assess 27, 337–351 (2013). https://doi.org/10.1007/s00477-012-0607-8

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