Year-end Sale % OFF 
Abstract
A landslide susceptibility map plays an essential role in urban and rural planning. The main purpose of this study is to establish a variable-weighted linear combination model (VWLC) and assess its potential for landslide susceptibility mapping. Firstly, different objective methods are employed for data processing rather than the frequently-used subjective judgments: K-means clustering is used for classification; binarization is introduced to determine buffer length thresholds for locational elements (road, river, and fault); landslide area density is adopted as the contribution index; and a correlation analysis is conducted for suitable factor selection. Secondly, considering the dimension changes of the preference matrix varying with the different locations of the mapping cells, the variable weights of each optimal factor are determined based on the improved analytic hierarchy process (AHP). On this basis, the VWLC model is established and applied to regional landslide susceptibility mapping for the Shennongjia Forestry District, China, where shallow landslides frequently occur. The obtained map is then compared with a map using the traditional WLC, and the results of the comparison show that VWLC is more reasonable, with a higher accuracy, and can be used anywhere that has the same or similar geological and topographical conditions.
Highlights
Landslides are common geological disasters in mountainous areas that cause considerable economic and ecological damage
The computation shows that the data of 13 landslides were eliminated using binarization, leading to a sharp decrease in the maximum threshold, from 19,650 m to 650 m, and showed an increase in Tabular Accuracy Index (TAI) from 0.78 to 0.81 (Table 4)
Urban and rural planning is complex work that needs to take into account social, economic, and ecological factors
Summary
Landslides are common geological disasters in mountainous areas that cause considerable economic and ecological damage. A landslide susceptibility map (LSM) that emphasizes static landslide-prone conditions presents information on the spatial distribution and probability of landslides in a certain region. These maps can assist decision makers in risk mitigation, land use management, space development, and environmental conservation to succeed in optimal development [3,4]. Expert evaluation depends on the judgment of experts, whereas mechanical approaches assess slope stability using deterministic methods and/or numerical methods with a high accuracy [6,7]. The statistical methods include the weighted liner combination model (WLC) [10,11], the logistic regression model [12,13,14], fuzzy synthetic evaluation model [15,16], and neural network model [17,18]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
