Effects of Land Use Change on Rainfall Erosion in Luojiang River Basin, China

He, Ji Zheng; Wan, Yu-Rong; Chen, Hai-Tao; Wang, Songlin

doi:10.3390/su14148441

Cited by 4 publications

(4 citation statements)

References 41 publications

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“…Analyzing the spatial variations of rainfall erosivity enables the identification of areas prone to water erosion, as well as potential risk zones for geological disasters such as mudslides and landslides. Referring to previous studies on the spatial analysis of rainfall erosivity [45], this study employs ordinary kriging interpolation based on rainfall data collected from 34 rain gauges within the research area to analyze the spatial distribution patterns of precipitation, rainfall erosivity, and rainfall erosivity density (Figure 7). Analyzing the spatial variations of rainfall erosivity enables the identification of areas prone to water erosion, as well as potential risk zones for geological disasters such as mudslides and landslides.…”

Section: Spatial Distribution Characteristics Of Rainfall Erosivity I...mentioning

confidence: 99%

Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains

Liang

Zhang

et al. 2023

Land

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This study examines the spatiotemporal variations of rainfall erosivity in the Hengduan Mountains, known for their rugged terrain and high potential for soil erosion risks, over the past 30 years. Additionally, it investigates the changing trends of rainfall erosivity between 2025 and 2040 under the Sustainable Development Pathway 2–4.5 (SSP2–4.5), using four Global Climate Models (GCMs) based on the Coupled Model Intercomparison Project phase 6 (CMIP6). The results indicate: (1) The annual distribution of rainfall erosivity in the Hengduan Mountains exhibited significant seasonal variations, ranking in the order of summer > autumn > spring > winter on a seasonal scale. (2) Over the past 30 years, there has been a slight decrease in annual precipitation and a corresponding slight increase in rainfall erosivity. Periodic extreme values occur every 6–8 years. (3) Spatially, rainfall erosivity demonstrates a decreasing gradient from southeast to northwest. There is a significant positive correlation between rainfall erosivity and precipitation, while a significant negative correlation exists with elevation in the vertical direction. Furthermore, the northeastern part of the Hengduan Mountains exhibits an increasing trend of rainfall erosivity, while the southern region experiences a decreasing trend. (4) Considering the joint driving forces of increased precipitation and erosive rainfall events, rainfall erosivity is expected to significantly increase in the future, posing a more severe risk of soil erosion in this region.

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Section: Spatial Distribution Characteristics Of Rainfall Erosivity I...mentioning

confidence: 99%

Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains

Liang

Zhang

et al. 2023

Land

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“…They noted that significant changes in land use and evaporation might be the reasons for the spatiotemporal variations in RE [20]. He et al discovered an upward trend in RE in the Luojiang River Basin from 1980 to 2019, showing a declining trend from the central part of the basin towards the periphery [12].…”

Section: Introductionmentioning

confidence: 99%

“…Intense rainfall and high erosivity can lead to the erosion of the loose surface materials of the soil, causing soil erosion. This impact is particularly significant on agricultural land, slopes with insufficient vegetation cover, and exposed soil [11,12]. In the context of climate change, the increase in extreme precipitation events leads to intensified erosion, causing a multitude of disasters [4,[13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variability in Rainfall Erosivity and Its Teleconnection with Atmospheric Circulation Indices in China

Liu,

Dong,

Liu

et al. 2023

Sustainability

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Rainfall erosivity (RE) is a critical factor influencing soil erosion, and soil erosion is closely related to land ecosystem health and long-term sustainable utilization. To ensure regional stable food supply and ecological balance, it is crucial to study the spatiotemporal distribution and influencing factors of RE. This study focuses on China and its three natural regions using daily precipitation data from 611 stations from 1960 to 2020. The study analyses the spatiotemporal changes in RE. Rainfall events were classified as moderate, large, and heavy based on rainfall intensity. The RE contribution from different rainfall levels to the total RE was analyzed, and the key climatic drivers closely linked to RE were identified using random forest. The results demonstrate that (1) on a national scale, RE shows a significant increasing trend, marked by an 81.67 MJ·mm·ha−1·h−1/decade. In the subregions, the Eastern Monsoon Region (EMR) and Qinghai–Tibet Plateau Region (QTR) show a significant increasing trend, with a greater change rate in EMR of 108.54 MJ·mm·ha−1·h−1/decade, and the Northwest Arid Region (NAR) shows a nonsignificant upwards trend. (2) The average RE increases northwest–southeast nationwide, ranging from 60.15 MJ·mm·ha−1·h−1 to 31,418.52 MJ·mm·ha−1·h−1. The RE contribution generated by different rainfall levels to the total RE exhibits spatial variations. The dominant types show that EMR is influenced by heavy RE, NAR is dominated by large RE, and QTR is affected by moderate RE. (3) The REs are associated with teleconnection indices, but the impact of these indices varies in different regions. The Western Hemisphere Warm Pool has the greatest impact on the EMR, while the North Atlantic Oscillation and Atlantic Multidecadal Oscillation are the factors influencing RE in NAR and QTR, respectively. (4) On a national scale, for every 1 mm increase in annual total rainfall, the RE increased by 8.54 MJ·mm·ha−1·h−1, a sensitivity of 8.54 MJ·mm·ha−1·h−1/mm. For the three subregions, there are differences in the sensitivity of RE to changes in annual precipitation. The highest sensitivity is found in EMR, at 8.71 MJ·mm·ha−1·h−1/mm, which is greater than the sensitivity indices in NAR (6.19 MJ·mm·ha−1·h−1/mm) and QTR (3.60 MJ·mm·ha−1·h−1/mm). This study can provide theoretical references for future regional soil erosion prediction and sustainable agricultural development in China.

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“…Scholars in related fields at home and abroad have undertaken a great deal of research and achieved a lot of results. For example, a series of studies were conducted on the spatio-temporal changes of land use in lake basins [4][5][6][7][8][9][10][11][12][13] and their driving factors [14][15][16][17][18][19], the impacts of land use change in lake basins [20][21][22][23][24][25][26][27][28][29] and the dynamic monitoring of lake areas [30][31][32][33]. These studies have laid an important theoretical foundation for the study of lake land use.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Rationality of Land Use Change in the Dianchi Basin during the Last 40 Years under the Background of Lake Revolution

Yang

2022

Sustainability

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(1) Background: Dianchi Lake is the largest freshwater plateau lake in southwest China. Since the 1970s, with the large-scale lake reclamation and rapid urbanization, the land use/cover of the Dianchi Basin has changed dramatically, directly hindering the sustainable development of the watershed. It is urgent to study the rationality of land use change in order to promote the “win-win” of eco-environment protection and sustainable economic and social development in Dianchi Basin. (2) Methods: The rationality judgment criteria of land use change in Dianchi Basin was constructed from ecological values, land suitability, laws and regulations, and the rationality of land use change in the Dianchi Basin from 1980 to 2020 was evaluated. (3) Results: The rational degree of land use change in the Dianchi Basin was 71.76%, and the level of rationality was low rationality. The rational degree of change in cultivated land, woodland, grassland, water area and construction land was 74.41%, 69.11%, 77.11%, 3.07% and 98.26%, respectively. Among the irrational land changes, 86.59% of the land had changed to construction land. (4) Conclusions: The main problems of irrational land change in the Dianchi Basin are the massive reduction in high-quality cultivated land, the degradation of woodland, and the unordered expansion of construction land. In order to achieve sustainable development, it is important to protect cultivated land, woodland, grassland and lakes.

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Effects of Land Use Change on Rainfall Erosion in Luojiang River Basin, China

Cited by 4 publications

References 41 publications

Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains

Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains

Spatiotemporal Variability in Rainfall Erosivity and Its Teleconnection with Atmospheric Circulation Indices in China

A Study on the Rationality of Land Use Change in the Dianchi Basin during the Last 40 Years under the Background of Lake Revolution

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