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- Title
Delineating Non-Susceptible Landslide Areas in China Based on Topographic Index and Quantile Non-Linear Model.
- Authors
Ma, Siyuan; Shao, Xiaoyi; Xu, Chong
- Abstract
Efficient analysis of non-susceptibility to landslides targets regions with minimal or zero landslide probability, thereby obviating the need to estimate the likelihood for low-susceptibility zones. This study assesses the effectiveness of the quantile non-linear (QNL) model in delineating the non-susceptibility of landslides in China through a topographic index. The topographic index encompassed slope angle and topographic relief, which are calculated using a 3 × 3 and 15 × 15 square cell moving window, respectively. Additionally, a global landslide susceptibility model established using a comprehensive global landslide database and fuzzy algorithm was employed for comparative analysis, providing a holistic evaluation of the QNL model's accuracy. The results show that while the overall distribution of the two QNL models for non-susceptible landslide areas was roughly consistent, notable discrepancies were observed in localized regions, especially in the Southwest and Qinghai-Tibet geological environment areas where landslides are prone to occur. The applicability of the QNL model is significantly limited in these areas. In addition, the predicted results of the QNL_CHN model are closer to those based on the global landslide susceptibility model of the fuzzy algorithm. This study provides valuable insights to enhance the QNL model's applicability, thereby strengthening forest ecosystem management and mitigating ecological disaster risks.
- Subjects
QINGHAI Sheng (China); TIBET (China); LANDSLIDES; LANDSLIDE hazard analysis; FOREST management; FUZZY algorithms; ENVIRONMENTAL disasters; DATABASES
- Publication
Forests (19994907), 2024, Vol 15, Issue 4, p678
- ISSN
1999-4907
- Publication type
Article
- DOI
10.3390/f15040678