Rockfall incidents in such areas can cause human fatalities and damage to properties in addition to transportation interruptions. Transportation corridors that pass through mountainous or hilly areas are prone to rockfall hazard. ![]() As a result, it can be stated that all the villages are at risk, except for Hasangazi village. Therefore, the risk map confirmed the sensitivity of morphometric parameters to geomorphic processes including TheĪrea was divided into three different classes in terms of susceptibility to the run-out distance of rockfall namely, low, mediumĪnd high. Taking into account the line of energy angle, a risk map of the study area was produced. The threshold of slope angle was identified by Gaussian distribution and the line of energyĪngle was detected as above 40°. ![]() On the south, southeast and east-facing slopes that developed on syenite and volcano-sedimentary rock, which trends to be IndexĪnomalies indicate that the source areas and cliff-faces coincide with steep (above 30°-40°) and very steep slopes (40°-70°) Di, Hi and SL values of these areas vary from 0.7 to 0.8, 0.6 to 0.7 and 131 to 6247, respectively. Morphometric parameters: hypsometric integral (Hi), hypsometric curve (Hc), dissection index (Di) and stream length morphometric parameters were used toĭetect rock-fall source areas using 1: 25,000 scaled topographic maps. Five village settlements (İlhan, Hasangazi, Kozlu, Çanakçı and Koçak villages) belonging to Ulukışlaĭistrict in Niğde province are found in sub-basins formed by these four streams. Rock-fall occurrences were determined by a drone in villagesĭuring field studies. Tributaries of Çiftehan stream connected to the River Seyhan. The study area is a plateau drained by four streams, the Ilhan, Eskiköy, Kolu and Koçak. Is located in the transportational middle slope and colluvial foot slope. Preliminary rockfall risk analyses it reveals that the potential high risk The methodology introduced in this paper has possibility to be used for Landform reflect that geomorphometry influences the volume statistics of Different values of the scaling exponents in each It shows negative power laws with exponents 0.58, 0.73, 0.68, andĠ.64 for fall face, transportational middle slope, colluvial foot slope and lower The probability density of rockfall volume in four generic landforms, i.e.,įall face, transportational middle slope, colluvial foot slope and lower Cumulative probability density was adopted to estimate ![]() The volume of the rockfall deposits and number of events associated withĭifferent landforms. Landforms over DTMs and derived a power-law statistical relationship between Interfluve, convex creep slope, fall face, transportational middle slope,Ĭolluvial foot slope, lower slope and channel bed. Was applied to classify the generic landforms into seven classes: Stream power index, and shape complexity index whereas layers produced fromĭTMs and rockfall modeling were velocity and energy. Several data layers produced solely from DTMs were slope, plan curvature, Rockfall deposits were the basis of landform classification analysis. Digital terrain models (DTMs) and a geomorphological inventory of ![]() This paper presents an automated landform classification in a rockfall-proneĪrea.
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