[1]FENG Chunjie,DENG Yusong,HE Yijun,et al.Evaluation of Collapse Erosion Intensity Based on Principal Component and Cluster Analysis[J].Research of Soil and Water Conservation,2019,26(01):41-46.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
26
Number of periods:
2019 01
Page number:
41-46
Column:
Public date:
2019-02-28
- Title:
-
Evaluation of Collapse Erosion Intensity Based on Principal Component and Cluster Analysis
- Author(s):
-
FENG Chunjie1, DENG Yusong1, HE Yijun2, DING Shuwen1, WANG Tianwei1
-
1. College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China;
2. Guangxi Science and Technology Information Network Center, Nanning 530022, China
-
- Keywords:
-
small watershed; collapse valley; erosion intensity assessment; principal component analysis; cluster analysis
- CLC:
-
S157.1
- DOI:
-
-
- Abstract:
-
In order to accurately examine the risk of sixteen collapsing valleys in the Yanglong Town of Tongcheng County, Hubei Province. A total of eleven parameters were selected as the factors for real-time kinematic analysis of the risk of collapse erosion, including area, main channel gradient, average internal slope and so on. Four principal component factors and the erosion intensities of the sixteen collapse valleys were obtained through principal component analysis. The erosion intensities of the 16 different collapsing gullies are divided into three categories:high-risk, moderate-risk and mild-risk according to cluster analysis. The high-risk group includes the second, fifth, tenth and eleventh collapse valleys. The moderate-risk group includes the eighth, fifteenth and sixteenth collapse valleys. The mild-risk group covers the other nine collapsie valleys. The results show that the area of moderate-risk and high-risk groups is larger and accounts for more than two-thirds of the total area of collapse valleys. The corresponding measures should be established on the basis of the risk factors of different collapse valleys according to the result, which is of significance for the prevention and management of the collapse valley.