Spatial and Temporal Variability of Rainfall Erosivity in the Niyang River Basin
Rainfall erosivity is a crucial factor in the evaluation of soil erosion, significantly influencing the complex relationships among water, soil, and the environment. Understanding its attributes and variations in space and time is essential for effective water resource management, erosion mitigation...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-08-01
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| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/15/9/1032 |
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| Summary: | Rainfall erosivity is a crucial factor in the evaluation of soil erosion, significantly influencing the complex relationships among water, soil, and the environment. Understanding its attributes and variations in space and time is essential for effective water resource management, erosion mitigation, and land-use planning. This paper utilizes daily precipitation data from 123 grid points in the Niyang River Basin, spanning from 2008 to 2016, to calculate rainfall erosivity using a straightforward algorithmic model. Ordinary Kriging was used to examine the spatial and temporal variations in rainfall erosivity, while Spearman’s correlation analysis was employed to examine the relationships between annual rainfall erosivity and various factors, including multi-year average precipitation, erosive rainfall, dry-season rainfall, wet-season rainfall, temperature, and elevation. The results indicate a year-by-year increase in rainfall erosivity in the basin, with a trend towards stabilization. The average annual rainfall erosivity over the years is 711 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>MJ</mi><mo>·</mo><mi mathvariant="normal">m</mi><mi mathvariant="normal">m</mi><mo>·</mo><mi mathvariant="normal">h</mi><msup><mrow><mi mathvariant="normal">m</mi></mrow><mrow><mo>−</mo><mn>2</mn></mrow></msup><mo>·</mo><msup><mrow><mi mathvariant="normal">h</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula>, peaking at 1098 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>MJ</mi><mo>·</mo><mi mathvariant="normal">m</mi><mi mathvariant="normal">m</mi><mo>·</mo><mi mathvariant="normal">h</mi><msup><mrow><mi mathvariant="normal">m</mi></mrow><mrow><mo>−</mo><mn>2</mn></mrow></msup><mo>·</mo><msup><mrow><mi mathvariant="normal">h</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula> in 2014. A significant 93.9% of rainfall erosivity is concentrated in the wet season, with a maximum of 191 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>MJ</mi><mo>·</mo><mi mathvariant="normal">m</mi><mi mathvariant="normal">m</mi><mo>·</mo><mi mathvariant="normal">h</mi><msup><mrow><mi mathvariant="normal">m</mi></mrow><mrow><mo>−</mo><mn>2</mn></mrow></msup><mo>·</mo><msup><mrow><mi mathvariant="normal">h</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula> in July. The left bank of the mainstream, especially the central and lower sections of the main river and its tributaries, experiences the highest rainfall erosivity. Rainfall factors predominantly influence erosivity, with erosive rainfall showing the strongest correlation (rho = 0.93), while temperature and elevation have relatively minor effects. This study enhances the understanding of rainfall erosive forces in the plateau region and provides a scientific basis for predicting soil loss, developing effective erosion control measures, and ensuring sustainable land use. |
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| ISSN: | 2073-4433 |