Spatio-temporal variations of rainfall erosivity, correlation of climatic indices and influence on human activities in the Huaihe River Basin, China
•The characteristics of rainfall erosivity in the Huaihe River Basin were analyzed.•87% rainfall erosivity concentrated during May – September in the Huaihe River Basin.•Rainfall erosivity in the Huaihe River Basin was highest in the upper basin.•Climatic indexes were correlated with rainfall erosiv...
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Veröffentlicht in: | Catena (Giessen) 2022-10, Vol.217, p.106486, Article 106486 |
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Sprache: | eng |
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Zusammenfassung: | •The characteristics of rainfall erosivity in the Huaihe River Basin were analyzed.•87% rainfall erosivity concentrated during May – September in the Huaihe River Basin.•Rainfall erosivity in the Huaihe River Basin was highest in the upper basin.•Climatic indexes were correlated with rainfall erosivity with different lag times.•Some advice was provide for local human activities based on soil erosion prevention.
Rainfall erosivity (RE) is an important factor in the soil erosion process, which cannot be altered by human intervention alone. The Huaihe River Basin (HRB) is a large agricultural watershed, suffering severe water erosion, investigating the spatio-temporal variation of RE is essential for local soil erosion prevention. The linear regression, Yue-Pilon method, and the Hurst exponent were used in analyzing the spatio-temporal variation within the HRB during 1960–2018. The slip correlation analysis and F-test were applied to obtain the correlation between climatic indices [the Arctic Oscillation (AO), the Southern Oscillation (SOI), the North Pacific Index (NPI), and the Niño 4SST index (SST)] and RE in the HRB. Results revealed that the annual average RE were 4280, 5061, 4068, 4886, and 4089 MJ mm hm−2 h−1 within the HRB, upper-HRB, middle-HRB, lower-HRB, and the Yishusi River Watershed, respectively. The annual average RE will increase within the upper-HRB and lower-HRB and decrease within the middle-HRB and the Yishusi River Watershed in the future. The seasonal average RE was ranked as summer > autumn = spring > winter in the HRB. The spatiotemporal difference was significant in the HRB, and different sub-regions exhibited a different trend in seasonal RE, except for the winter RE that increased significantly in all sub-regions (p |
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ISSN: | 0341-8162 1872-6887 |
DOI: | 10.1016/j.catena.2022.106486 |