ORIGINAL RESEARCH
Quantitative Evaluation of Soil Erosion
in the Upper Minjiang River Basin
of China Based on Integration of Geospatial
Technologies Using RUSLE
More details
Hide details
1
School of Geography Science, Nanjing Normal University, Nanjing, China
2
Fujian Provincial Key Laboratory of Eco-Industrial Green Technology, College of Ecology
and Resource Engineering of Wuyi University, Wuyishan, China
3
College of the Environment, Hohai University, Nanjing, China
Submission date: 2019-08-04
Final revision date: 2019-11-13
Acceptance date: 2019-11-15
Online publication date: 2020-03-22
Publication date: 2020-05-12
Corresponding author
Xuyin Yuan
Fujian Provincial Key Laboratory of Eco-Industrial Green Technology, College of Ecology and Resource Engineering, Wuyi University, China
Pol. J. Environ. Stud. 2020;29(5):3419-3429
KEYWORDS
TOPICS
ABSTRACT
Soil erosion is an important part of land ecological change and global environmental change.
In southern China, the red soil hilly area is a region with serious soil erosion and water and soil loss.
In this study, the spatial distribution of soil erosion and its change induced by land use types were
obtained with the spatial operation analysis technology of a geographic information system and the
revised universal soil loss equation model (RUSLE). The results show that soil erosion is most very
lightly eroded in the study area as a whole, and has a wide yet relatively concentrated distribution,
namely spatial aggregation distribution. The average soil erosion rate is the highest in Zhenghe County,
followed by Wuyishan City, Shunchang County and Changting County, and relatively low in other
counties. Further analysis on soil erosion under different land use types shows that erosion is more
serious in unused land, orchard, dry land and rural settlements, and less severe in grassland, urban land,
woodland and paddy field. This can be explained by the differences in vegetation cover, soil and water
conservation measures, and the degree of human disturbance under different land use patterns.