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Evaluation of rainfall erosivity and its temporal variation in the Yanhe River catchment of the Chinese Loess Plateau

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  • B. Yue
  • Z. Shi
  • N. Fang

Abstract

The potential of rain to generate soil erosion is known as the rainfall erosivity (R), and its estimation is fundamental for a better understanding of the erosive ability of certain rainfall events. In this paper, we investigated the temporal variations of rainfall erosivity using common daily rainfall data from four meteorological stations during 1956 to 1989 and 2008 to 2010 periods in the Yanhe River catchment of the Chinese Loess Plateau. The adaptability of several simplified calculation models for R was evaluated and compared with the results of previous studies. An exponential model based on the modified Fournier index (MFI) was considered as the optimum for our study area. By considering the monthly distribution and coefficient of variation of annual precipitation, equations based on two indices, the MFI and its modification F F , produced a higher calculation accuracy than mean annual precipitation. The rainfall erosivity in the Yanhe River catchment has a remarkable interannual difference, with a seasonality index ranging from 0.69 to 1.05 and a precipitation concentration index from 14.51 to 27.46. In addition to the annual rainfall amounts, the extreme wave of monthly rainfall distribution also has an effect on the magnitude and temporal variation of rainfall erosivity, especially interannual variation. For long time series of rainfall erosivity, a trend coefficient r of −0.07 indicated a slight decline in erosivity in the Yanhe River catchment from 1956 to 2010. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • B. Yue & Z. Shi & N. Fang, 2014. "Evaluation of rainfall erosivity and its temporal variation in the Yanhe River catchment of the Chinese Loess Plateau," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 585-602, November.
    • Handle: RePEc:spr:nathaz:v:74:y:2014:i:2:p:585-602
    DOI: 10.1007/s11069-014-1199-z
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    References listed on IDEAS

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    1. Leila Hamlaoui-Moulai & Mohammed Mesbah & Doudja Souag-Gamane & Abderrahmane Medjerab, 2013. "Detecting hydro-climatic change using spatiotemporal analysis of rainfall time series in Western Algeria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1293-1311, February.
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    Cited by:

    1. Tanja Micić Ponjiger & Tin Lukić & Biljana Basarin & Maja Jokić & Robert L. Wilby & Dragoslav Pavić & Minučer Mesaroš & Aleksandar Valjarević & Miško M. Milanović & Cezar Morar, 2021. "Detailed Analysis of Spatial–Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin," Sustainability, MDPI, vol. 13(23), pages 1-31, December.
    2. Mohamad Nazuhan & Zullyadini A. Rahaman & Zainuddin Othman, 2018. "A Review on Rainfall Erosivity (R factor) in Universal Soil Loss Equation," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(2), pages 816-822, February.
    3. Hui Li & Yanyan Gao & Enke Hou, 2021. "Spatial and temporal variation of precipitation during 1960–2015 in Northwestern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(3), pages 2173-2196, December.

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