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quantitativeattributionanalysisofsoilerosionindifferentgeomorphologicaltypesinkarstareasbasedonthegeodetectormethod
Wang Huan; Gao Jiangbo; Hou Wenjuan
2019
Source Publicationjournalofgeographicalsciences
ISSN1009-637X
Volume29Issue:2Pages:271
AbstractThe formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant (q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes (such as dry land with slopes of 5 degrees and above 25 degrees) or in the diverse land use types with the same slope (such as dry land and forest with a slope of 5 degrees), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.
Language英语
Funding Project[National Basic Research Program of China] ; [National Natural Science Foundation of China]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/118479
Collection中国科学院地理科学与资源研究所
Affiliation中国科学院地理科学与资源研究所
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Wang Huan,Gao Jiangbo,Hou Wenjuan. quantitativeattributionanalysisofsoilerosionindifferentgeomorphologicaltypesinkarstareasbasedonthegeodetectormethod[J]. journalofgeographicalsciences,2019,29(2):271.
APA Wang Huan,Gao Jiangbo,&Hou Wenjuan.(2019).quantitativeattributionanalysisofsoilerosionindifferentgeomorphologicaltypesinkarstareasbasedonthegeodetectormethod.journalofgeographicalsciences,29(2),271.
MLA Wang Huan,et al."quantitativeattributionanalysisofsoilerosionindifferentgeomorphologicaltypesinkarstareasbasedonthegeodetectormethod".journalofgeographicalsciences 29.2(2019):271.
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