Identification of rockfall source areas using the seed cell concept and bivariate susceptibility modelling

Scientific paper - Original scientific paper

• Author: Aleksandar Toševski
• Author: Davor Pollak
• Author: Dario Perković
• Author's institution: Croatian Geological Survey
• Author's institution: University of Zagreb; Faculty of Mining, Geology and Petroleum Engineering; (Department of Geology and Geological Engineering)
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering

Abstract (english)

Abstract The objective of this research was to prepare a rockfall susceptibility map. Explorations were conducted in the Dubračina River basin (Croatia). The input data included a geological map, an orthophoto and a 1-m digital terrain model (DTM). After a talus inventory was prepared, the seed cell concept was applied to define the rockfall source areas. The contributing factors (predictors) of rockfalls were evaluated by the chi-squared test. The analysis confirmed the following predictors: CORINE land cover, lithology, slope, aspect, distance from a spring, distance from a road, distance from a fault, distance from a stream, and distance from the rock-soil geological boundary. A matrix pairwise comparison of the predictor ratings was used to define the most significant contributing factors. The predictors that affected the susceptibility map in the share of 86.3% were the slope (61.6%), lithology (13.4%), CORINE land cover (6.2%), and distance from the rock-soil geological boundary (5.1%). Two susceptibility maps were prepared: one using all nine contributing factors and another using the four most significant factors. The analysis showed that both maps were good, with the same areas under the receiver operating characteristic (ROC) curves. The map prepared with only four contributing factors can be considered a better map due to its more precise spatial definition of critical areas. It can be concluded that geological map, 1-m DTM and orthophoto provide enough data to prepare reliable rockfall susceptibility map. The application of the bivariate statistical zonation method called the “frequency ratio method” was proven to be successful. This research demonstrates that the application of the seed cell concept can be useful to speed up the process of rockfall source area detections in large research regions.

• Keywords (english): Dubračina River basin; high-resolution DTM; seed cell concept; chi-squared test; rockfall susceptibility map
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Journal title: Bulletin of Engineering Geology and the Environment
• Numbering: vol. 80, no. 10, pp. 7551-7576
• p-ISSN: 1435-9529
• e-ISSN: 1435-9537
• DOI: https://doi.org/10.1007/s10064-021-02441-w
• URN:NBN: urn:nbn:hr:169:847002
• Publication: 2021-09-16
• Document URL: https://link.springer.com/10.1007/s10064-021-02441-w
• Type of resource: Text
• Access conditions: Open access
• Created on: 2022-11-07 08:18:46