Preprints
https://doi.org/10.5194/essd-2020-370
https://doi.org/10.5194/essd-2020-370

  01 Mar 2021

01 Mar 2021

Review status: this preprint is currently under review for the journal ESSD.

Rainfall erosivity mapping over mainland China based on high density hourly rainfall records

Tianyu Yue1, Shuiqing Yin1, Yun Xie1, Bofu Yu2, and Baoyuan Liu1 Tianyu Yue et al.
  • 1State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
  • 2Australian Rivers Institute, School of Engineering and Built Environment, Griffith University, Nathan, Queensland, QLD 4111, Australia

Abstract. Rainfall erosivity represents the effect of rainfall and runoff on the average rate of soil erosion. Maps of rainfall erosivity are indispensable for soil erosion assessment using the Universal Soil Loss Equation (USLE) and its successors. To improve current erosivity maps based on daily rainfall data for mainland China, hourly rainfall data from 2381 stations for the period 1951–2018 were collected to generate the R factor and the 1-in-10-year EI30 maps (available at https://dx.doi.org/10.12275/bnu.clicia.rainfallerosivity.CN.001; Yue et al., 2020). Rainfall data at 1-min intervals from 62 stations (18 stations) were collected to calculate rainfall erosivities as true values to evaluate the improvement of the new R factor map (1-in-10-year EI30 map) from the current maps. Both the R factor and 1-in-10-year EI30 decreased from the southeastern to the northwestern, ranging from 0 to 25300 MJ mm ha−1 h−1 a−1 for the R factor and 0 to 11246 MJ mm ha−1 h−1 for the 1-in-10-year EI30. New maps indicated current maps existed an underestimation for most of the southeastern areas and an overestimation for most of the middle and western areas. Comparing with the current maps, the R factor map generated in this study improved the accuracy from 19.4 % to 15.9 % in the mid-western and eastern regions, from 45.2 % to 21.6 % in the western region, and the 1-in-10-year EI30 map in the mid-western and eastern regions improved the accuracy from 21.7 % to 13.0 %. The improvement of the new R factor map can be mainly contributed to the increase of data resolution from daily data to hourly data, whereas that of new 1-in-10-year EI30 map to the increase of the number of stations from 744 to 2381. The effect of increasing the number of stations to improve the interpolation seems to be not very obvious when the station density was denser than about 10 · 103 km2 1 station.

Tianyu Yue et al.

Status: open (until 26 Apr 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2020-370', Anonymous Referee #1, 07 Mar 2021 reply
  • RC2: 'Comment on essd-2020-370', Anonymous Referee #2, 16 Mar 2021 reply
  • RC3: 'Comment on essd-2020-370', Anonymous Referee #3, 30 Mar 2021 reply

Tianyu Yue et al.

Data sets

Rainfall erosivity maps over mainland China Yue, T., Yin, S., Xie, Y., Yu, B., and Liu, B. https://dx.doi.org/10.12275/bnu.clicia.rainfallerosivity.CN.001

Tianyu Yue et al.

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