Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method
文献类型：期刊论文
| 作者 | Wang Huan1,2; Gao Jiangbo2 ; Hou Wenjuan2
|
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2019-02-01 |
| 卷号 | 29期号:2页码:271-286 |
| 关键词 | soil erosion distribution influencing factors RUSLE model geodetector karst Sancha River basin |
| ISSN号 | 1009-637X |
| DOI | 10.1007/s11442-019-1596-z |
| 通讯作者 | Gao Jiangbo(gaojiangbo@igsnrr.ac.cn) |
| 英文摘要 | The 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. |
| WOS关键词 | ROCKY DESERTIFICATION ; LAND-USE ; SLOPES ; RUNOFF ; CHINA ; DEPRESSION |
| 资助项目 | National Basic Research Program of China[2015CB452702] ; National Natural Science Foundation of China[41671098] ; National Natural Science Foundation of China[41530749] |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000455153300007 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Basic Research Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/50561]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Gao Jiangbo |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang Huan,Gao Jiangbo,Hou Wenjuan. Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2019,29(2):271-286. |
| APA | Wang Huan,Gao Jiangbo,&Hou Wenjuan.(2019).Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method.JOURNAL OF GEOGRAPHICAL SCIENCES,29(2),271-286. |
| MLA | Wang Huan,et al."Quantitative attribution analysis of soil erosion in different geomorphological types in karst areas: Based on the geodetector method".JOURNAL OF GEOGRAPHICAL SCIENCES 29.2(2019):271-286. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。