Evidence map›Paper›PMID 36673979›Full record

ArticleInternational journal of environmental research and public health2023

Soil Erosion Characteristics and Scenario Analysis in the Yellow River Basin Based on PLUS and RUSLE Models.

Yanyan Li, Jinbing Zhang, Hui Zhu, Zhimin Zhou, Shan Jiang, Shuangyan He, Ying Zhang, Yicheng Huang, Mengfan Li, Guangrui Xing and 1 more

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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11 authors.

Yanyan LiCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Jinbing ZhangCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Hui ZhuCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Zhimin ZhouCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.ORCID 0000-0001-9507-1503
Shan JiangCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Shuangyan HeCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Ying ZhangCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Yicheng HuangCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Mengfan LiCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Guangrui XingCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.
Guanghui LiCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil erosion is an important global environmental issue that severely affects regional ecological environment and socio-economic development. The Yellow River (YR) is China's second largest river and the fifth largest one worldwide. Its watershed is key to China's economic growth and environmental security. In this study, six impact factors, including rainfall erosivity (R), soil erosivity (K), slope length (L), slope steepness (S), cover management (C), and protective measures (P), were used. Based on the revised universal soil loss equation (RUSLE) model, and combined with a geographic information system (GIS), the temporal and spatial distribution of soil erosion (SE) in the YR from 2000 to 2020 was estimated. The patch-generating land use simulation (PLUS) model was used to simulate the land-use and land-cover change (LUCC) under two scenarios (natural development and ecological protection) in 2040; the RUSLE factor P was found to be associated with LUCC in 2040, and soil erosion in the Yellow River Basin (YRB) in 2040 under the two scenarios were predicted and evaluated. This method has great advantages in land-use simulation, but soil erosion is greatly affected by rainfall and slope, and it only focuses on the link between land-usage alteration and SE. Therefore, this method has certain limitations in assessing soil erosion by simulating and predicting land-use change. We found that there is generally slight soil erosivity in the YRB, with the most serious soil erosion occurring in 2000. Areas with serious SE are predominantly situated in the upper reaches (URs), followed by the middle reaches (MRs), and soil erosion is less severe in the lower reaches. Soil erosion in the YRB decreased 11.92% from 2000 to 2020; thus, soil erosion has gradually reduced in this area over time. Based on the GIS statistics, land-use change strongly influences SE, while an increase in woodland area has an important positive effect in reducing soil erosion. By predicting land-use changes in 2040, compared to the natural development scenario, woodland and grassland under the ecological protection scenario can be increased by 1978 km

Indexed as

RiversSoilConservation of Natural ResourcesEnvironmental MonitoringModels, TheoreticalSoil ErosionSoilland usePLUS modelpredictionRUSLE modelsoil erosionYRB

Identifiers

PMID36673979
PMCPMC9858744

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