Rockfall hazard assessment in a natural and historical site: The case of ancient Kilistra settlement (Konya), Turkey

2022 ◽  
Vol 19 (1) ◽  
pp. 151-166
Author(s):  
Ali Bozdağ
2016 ◽  
Vol 16 (7) ◽  
pp. 1657-1672 ◽  
Author(s):  
Adeline Delonca ◽  
Thierry Verdel ◽  
Yann Gunzburger

Abstract. To date, many rockfall hazard assessment methods still consider qualitative observations within their analysis. Based on this statement, knowledge and expertise are supposed to be major parameters of rockfall assessment. To test this hypothesis, an experiment was carried out in order to evaluate the influence of knowledge and expertise on rockfall hazard assessment. Three populations were selected, having different levels of expertise: (1) students in geosciences, (2) researchers in geosciences and (3) confirmed experts. These three populations evaluated the rockfall hazard level on the same site, considering two different methods: the Laboratoire des Ponts et Chaussées (LPC) method and a method partly based on the "slope mass rating" (SMR) method. To complement the analysis, the completion of an "a priori" assessment of the rockfall hazard was requested of each population, without using any method. The LPC method is the most widely used method in France for official hazard mapping. It combines two main indicators: the predisposition to instability and the expected magnitude. Reversely, the SMR method was used as an ad hoc quantitative method to investigate the effect of quantification within a method. These procedures were applied on a test site divided into three different sectors. A statistical treatment of the results (descriptive statistical analysis, chi-square independent test and ANOVA) shows that there is a significant influence of the method used on the rockfall hazard assessment, whatever the sector. However, there is a non-significant influence of the level of expertise of the population the sectors 2 and 3. On sector 1, there is a significant influence of the level of expertise, explained by the importance of the temporal probability assessment in the rockfall hazard assessment process. The SMR-based method seems highly sensitive to the "site activity" indicator and exhibits an important dispersion in its results. However, the results are more similar with the LPC qualitative method, even in the case of sector 1.


2019 ◽  
Vol 10 (1) ◽  
pp. 247 ◽  
Author(s):  
Haiyang Liu ◽  
Xueliang Wang ◽  
Xiaohui Liao ◽  
Juanjuan Sun ◽  
Su Zhang

The influences of rockfall on human engineering have been increasing in Tibet with the rapid development of the western region of China. This study proposed a multi-approach to carry out rockfall investigation and hazard assessment. As a case study, the rockfall hazard from Nang County to Jiacha County in Tibet was assessed. Firstly, we summarized the characteristics of spatial distributions of typical rockfall sources using Digital Elevation Model (DEM) and unmanned aerial vehicle (UAV) aerial images with resolution of 10 m. According to the thresholds of slope angle, slope aspect and elevation distribution of typical rockfall sources, we obtained all of the rockfall source areas in study area semi-automatically in ArcGIS platform. Secondly, we improved the efficiency and accuracy of detailed field investigation by using a three-dimensional (3D) point cloud model and rock mass structure extraction software. According to the analysis result, the dominant joint set was J1, whose orientation was basically consistent with the Yarlung Tsangpo Fault. The combination of J1, J2 and J4 cut the rock mass into blocks of wedge with J1 as potential sliding planes. It was indicated that the stability of the rock mass in study area was mainly controlled by the characters of joint sets. Finally, we applied the improved reclassification criteria of the Rockfall Hazard Vector (RHV) method in rockfall hazard assessment according to protection capabilities of the current protection facilities, making the result more valuable for geohazards prevention work. Based on this multi-approach, we obtained that 10.92% of the 306 provincial highway and 9.38% of the power line were threatened by potential rockfall hazards in study area. The hazard assessment results of study area were also of certain guiding value to the linear project planning and geohazards prevention work.


2013 ◽  
Vol 7 (5) ◽  
pp. 1773-1780 ◽  
Author(s):  
M. K. Ansari ◽  
M. Ahmad ◽  
Rajesh Singh ◽  
T. N. Singh

2020 ◽  
Author(s):  
Karlina Triana ◽  
Koko Hermawan

Abstract The main road to the Parangtritis Beach tourism site in the southern Yogyakarta Province, Indonesia, has full of local and economic activities. The road was made mainly by karst mountains cutting and resulting in almost vertical long and high slopes by its side. Rockfall is being the most potential hazards occurred in this area. The purpose of this study is to determine the rockfalls hazard assessment along the main road using Slope Mass Rating (SMR) analysis. Parameters used in rockfall hazard assessment are SMR with additional valuation from the slope height and the block size. The necessary data of each parameter obtained by direct measurement and the uniaxial compressive strength test in the laboratory. Geomechanics analysis, stereographic projection analysis, and hazard parameters weighting are needed to produce research results in form Rockfall Hazard Zonation Map in the research location. The results showed that the largest percentage of rockfalls hazard class is very low class, with 83,83% of the total hazard classes, associated with normal SMR score (51,66 – 51,75), slope height between 2,85 – 4,57 m, and block size 0,2 – 0,3 m. Followed by intermediate class with 7,16% of the total hazard classes with very bad to bad SMR score (5,82 – 38,15), slope height between 4,26 – 8,96 m, and block size 0,3 – 1,0 m. In the third position followed by a low class with 4,28% of the total hazard classes with bad to normal SMR score (31,17 – 53,03), slope height between 3,52 – 5,28 m, and block size 0,2 – 0,7 m. The last position was taken by high class with 4,19% of the total hazard classes with very bad to bad SMR score (18,31 – 36,50), slope height between 3,62 – 7,82 m, and block size 0,7 – 1,3 m. The SMR analysis also identified the influence of rock types with the rockfall occurrence. Hazard zonation map verification showed a congeniality with the results of rockfalls quantity inventory in the research area.


2017 ◽  
Vol 35 (4) ◽  
pp. 1895-1905 ◽  
Author(s):  
Shang-qu Sun ◽  
Li-ping Li ◽  
Shu-cai Li ◽  
Qian-qing Zhang ◽  
Cong Hu

Sign in / Sign up

Export Citation Format

Share Document