Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model

Zhang, Ying; Zhang, Pengyan; Liu, Zhenyue; Xing, Guangrui; Chen, Zhuo; Chang, Yinghui; Wang, Qianxu

doi:10.1016/j.heliyon.2023.e23819

Cited by 3 publications

(2 citation statements)

References 53 publications

(56 reference statements)

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Section: Impact Of Land Use Changes On Soil Erosionmentioning

confidence: 99%

“…This study used the RUSLE and GeoSOS-FLUS models to assess the impact of land use changes on soil erosion. In the model setup, the R, K, and LS factors remained unchanged, and changes in soil erosion under different land use scenarios were simulated by adjusting the C and P factors related to land use changes [66,67]. The results show that in the NDS and RDS, although the expansion of construction land occupied a large amount of other land use types, this change did not lead to more severe soil erosion.…”

Section: Impact Of Land Use Changes On Soil Erosionmentioning

confidence: 99%

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Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China

Lai,

Li,

Liu

2024

Forests

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Revealing the relationship between land use changes and soil erosion provides a reference for formulating future land use strategies. This study simulated historical and future soil erosion changes based on the RULSE and GeoSOS-FLUS models and used a random forest model to explain the relative importance of natural and anthropogenic factors on soil erosion. The main conclusions are as follows: (1) From 1990 to 2020, significant changes in land use occurred in Kunming, with a continuous reduction in woodland, grassland, and cropland, being converted into construction land, which grew by 195.18% compared with 1990. (2) During this period, the soil erosion modulus decreased from 133.85 t/(km²·a) in 1990 to 130.32 t/(km²·a) in 2020, with a reduction in soil loss by 74,485.46 t/a, mainly due to the conversion of cropland to construction and ecological lands (woodland, grassland). (3) The expansion of construction land will continue, and it is expected that by 2050, the soil erosion modulus will decrease by 3.77 t/(km²·a), 4.27 t/(km²·a), and 3.27 t/(km²·a) under natural development, rapid development, and ecological protection scenarios, respectively. However, under the cropland protection scenario, the soil erosion modulus increased by 0.26 t/(km²·a) compared with 2020. (4) The spatial pattern of soil erosion is influenced by both natural and anthropogenic factors, and as human activities intensify in the future, the influence of anthropogenic factors will further increase. Traditionally, the expansion of construction land is thought to increase soil loss. Our study may offer a new perspective and provide a reference for future land use planning and soil loss management in Kunming.

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Section: Impact Of Land Use Changes On Soil Erosionmentioning

confidence: 99%

Section: Impact Of Land Use Changes On Soil Erosionmentioning

confidence: 99%

Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China

Lai,

Li,

Liu

2024

Forests

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Spatial Scale Effect on Fractional Vegetation Coverage Changes and Driving Factors in the Henan Section of the Yellow River Basin

Wang,

Wang

et al. 2024

Remote Sensing

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Vegetation plays a crucial role in terrestrial ecosystems, and the FVC (Fractional Vegetation Coverage) is a key indicator reflecting the growth status of vegetation. The accurate quantification of FVC dynamics and underlying driving factors has become a hot topic. However, the scale effect on FVC changes and driving factors has received less attention in previous studies. In this study, the changes and driving factors of FVC at multiple scales were analyzed to reveal the spatial and temporal change in vegetation in the Henan section of the Yellow River basin. Firstly, based on the pixel dichotomy model, the FVC at different times and spatial scales was calculated using Landsat-8 data. Then, the characteristics of spatial and temporal FVC changes were analyzed using simple linear regression and CV (Coefficient of Variation). Finally, a GD (Geographic Detector) was used to quantitatively analyze the driving factors of FVC at different scales. The results of this study revealed that (1) FVC showed an upward trend at all spatial scales, increasing by an average of 0.55% yr−1 from 2014 to 2022. The areas with an increasing trend in FVC were 10.83% more than those with a decreasing trend. (2) As the spatial scale decreased, the explanatory power of the topography factors (aspect, elevation, and slope) for changes in FVC was gradually strengthened, while the explanatory power of climate factors (evapotranspiration, temperature, and rainfall) and anthropogenic activities (night light) for changes in FVC decreased. (3) The q value of evapotranspiration was always the highest across different scales, peaking notably at a spatial scale of 1000 m ( q = 0.48).

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Research Hotspots and Trends in the Environment Condition of the Yellow River Basin (2014–2024): A Bibliometric and Visualization

Gao,

Chen,

Wei

et al. 2024

Water

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The Yellow River holds significant developmental and historical importance for China. Over the past decade, there has been a growing recognition of the river basin’s complexity as a hydrological, ecological, economic, political, and social system. Therefore, analyzing its research hotspots and trends helps to anticipate future research directions. This study utilized bibliometric software (such as VOSviewer and CiteSpace) to analyze the articles and research trends related to the ecological environment of the Yellow River Basin over the past 11 years (2014–2024). The results indicate that a total of 2096 articles have been published on this topic, with an almost annual increase in publications. Keyword co-occurrence and clustering network analysis indicate that the middle and lower reaches of the Loess Plateau, the delta, and the water quality and flow changes in the Yellow River Basin have been long-term research focuses. Climate change plays a dominant role in Yellow River runoff variation. In recent years, water quality has steadily improved, although delta erosion issues remain unresolved. Research on the sustainable development and ecosystem services of the Yellow River Basin has become a recent trend. With continuous policy development, refinement, and advancements in research, significant progress has been made in enhancing ecosystem services and achieving sustainable development in the Yellow River Basin. Regarding international collaboration, China, the United States, Australia, the United Kingdom, and Germany rank among the top five, with the most intensive collaborations occurring between China and the US, the UK, and Germany.

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Dynamic analysis of soil erosion in the affected area of the lower Yellow River based on RUSLE model

Cited by 3 publications

References 53 publications

Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China

Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China

Spatial Scale Effect on Fractional Vegetation Coverage Changes and Driving Factors in the Henan Section of the Yellow River Basin

Research Hotspots and Trends in the Environment Condition of the Yellow River Basin (2014–2024): A Bibliometric and Visualization

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