Driving factors of runoff and sediment yield effects of various slope ecological restoration measures in the middle reaches of the Yellow River

The middle reaches of the Yellow River, with an exceeding amount of coarse sediment compared to the stream flow and the lower reaches, with severe sediment deposition, are key regions for sediment control in the Yellow River Basin. Recent years have witnessed efforts to return farmland land to forest and grassland and the launch of the Three-North Shelterbelt Forest Program, but the effectiveness of these measures remains to be studied. Research on factors influencing runoff depth (RD) and sediment yield (SY) sheds light on the mechanism of soil erosion in the study area. The present study focuses on the standard runoff fields in the Kuye River Basin, where ecological restoration measures (arbor forest land, shrub grassland, natural grassland, artificial grassland, cultivated land, Bare land) for various slope steepness (S) have been taken. Based on a six-year observation of the SY and RD in these fields, we aim to identify the primary factors influencing soil erosion, based on rainfall data and slope gradients. Using rainfall data and slope steepness factors, we explored the dominant factors that influence runoff and SY. The results showed that: (1) the rainfall events with short-duration, medium rainfall, and medium rainfall intensity were the most frequent; (2) the rainfall events with medium duration, heavy rainfall, and heavy rainfall intensity produced the most serious runoff and sediment; (3) using machine learning methods, the researchers found that the gradient boosting decision tree (GBDT) model was the most suitable for the study area, as it provided the best simulation of soil erosion. The structural equation model reveals that there is a significant correlation between runoff depth (RD) and soil erosion modulus (SEM). Time of precipitation (T), average precipitation intensity (I<sub>avg</sub>), maximum intensity of precipitation in thirty minutes (I<sub>30</sub>) and slope steepness (S) are factors that indirectly influence runoff SY. The present study provides technical guidance for the ecological restoration and improvement of different slope surfaces in major sections of the middle reaches of the Yellow River.

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Publication Details

Journal
PeerJ
Published
2025-09-19
DOI
https://doi.org/10.7717/peerj.20040
Primary Topic
Soil erosion and sediment transport
Type
article
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article

Driving factors of runoff and sediment yield effects of various slope ecological restoration measures in the middle reaches of the Yellow River

Fucang Qin, Fan Dong, Zhenqi Yang, Xinyu Liu et al.
PeerJ
Soil erosion and sediment transport
article

Driving factors of runoff and sediment yield effects of various slope ecological restoration measures in the middle reaches of the Yellow River

Fucang Qin, Fan Dong, Zhenqi Yang, Xinyu Liu, Jianying Guo, Xin Wang
article en

Abstract

The middle reaches of the Yellow River, with an exceeding amount of coarse sediment compared to the stream flow and the lower reaches, with severe sediment deposition, are key regions for sediment control in the Yellow River Basin. Recent years have witnessed efforts to return farmland land to forest and grassland and the launch of the Three-North Shelterbelt Forest Program, but the effectiveness of these measures remains to be studied. Research on factors influencing runoff depth (RD) and sediment yield (SY) sheds light on the mechanism of soil erosion in the study area. The present study focuses on the standard runoff fields in the Kuye River Basin, where ecological restoration measures (arbor forest land, shrub grassland, natural grassland, artificial grassland, cultivated land, Bare land) for various slope steepness (S) have been taken. Based on a six-year observation of the SY and RD in these fields, we aim to identify the primary factors influencing soil erosion, based on rainfall data and slope gradients. Using rainfall data and slope steepness factors, we explored the dominant factors that influence runoff and SY. The results showed that: (1) the rainfall events with short-duration, medium rainfall, and medium rainfall intensity were the most frequent; (2) the rainfall events with medium duration, heavy rainfall, and heavy rainfall intensity produced the most serious runoff and sediment; (3) using machine learning methods, the researchers found that the gradient boosting decision tree (GBDT) model was the most suitable for the study area, as it provided the best simulation of soil erosion. The structural equation model reveals that there is a significant correlation between runoff depth (RD) and soil erosion modulus (SEM). Time of precipitation (T), average precipitation intensity (I<sub>avg</sub>), maximum intensity of precipitation in thirty minutes (I<sub>30</sub>) and slope steepness (S) are factors that indirectly influence runoff SY. The present study provides technical guidance for the ecological restoration and improvement of different slope surfaces in major sections of the middle reaches of the Yellow River.

PeerJVol. 13
Inner Mongolia Agricultural University (CN), State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN), Ministry of Water Resources of the People's Republic of China (CN)
Openalex Percentile: Top 68%
Soil erosion and sediment transport
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