scholarly journals ANALYSIS OF DEBRIS FLOW BEHAVIOR USING AIRBORNE LIDAR AND IMAGE DATA

Author(s):  
G. Kim ◽  
C. Y. Yune ◽  
J. Paik ◽  
S. W. Lee

The frequency of debris flow events caused by severe rainstorms has increased in Korea. LiDAR provides high-resolution topographical data that can represent the land surface more effectively than other methods. This study describes the analysis of geomorphologic changes using digital surface models derived from airborne LiDAR and aerial image data acquired before and after a debris flow event in the southern part of Seoul, South Korea in July 2011. During this event, 30 houses were buried, 116 houses were damaged, and 22 human casualties were reported. Longitudinal and cross-sectional profiles of the debris flow path reconstructed from digital surface models were used to analyze debris flow behaviors such as landslide initiation, transport, erosion, and deposition. LiDAR technology integrated with GIS is a very useful tool for understanding debris flow behavior.

Author(s):  
G. Kim ◽  
C. Y. Yune ◽  
J. Paik ◽  
S. W. Lee

The frequency of debris flow events caused by severe rainstorms has increased in Korea. LiDAR provides high-resolution topographical data that can represent the land surface more effectively than other methods. This study describes the analysis of geomorphologic changes using digital surface models derived from airborne LiDAR and aerial image data acquired before and after a debris flow event in the southern part of Seoul, South Korea in July 2011. During this event, 30 houses were buried, 116 houses were damaged, and 22 human casualties were reported. Longitudinal and cross-sectional profiles of the debris flow path reconstructed from digital surface models were used to analyze debris flow behaviors such as landslide initiation, transport, erosion, and deposition. LiDAR technology integrated with GIS is a very useful tool for understanding debris flow behavior.


2020 ◽  
Vol 12 (14) ◽  
pp. 2198 ◽  
Author(s):  
Ying Zhang ◽  
Peter Crawford

Rapid response mapping of floodwater extents in urbanized areas, while essential for early damage assessment and rescue operations, also presents significant image interpretation challenges. Images from visible band (red–green–blue (RGB)) remote sensors are the most common and cost-effective for real-time applications. Based on an understanding of the differing characteristics of turbid floodwater and urban land surface classes, a robust method was developed and automatized to extract visible floodwater using RGB band digital numbers. The methodology was applied to delineate visible floodwater distribution from very high-resolution aerial image data acquired during the 2013 Calgary flood event. The methodology development involved segment- and pixel-based feature analysis, rule development, automated feature extraction, and result validation processing. The accuracies for the visible floodwater class were above 0.8394% and the overall accuracies were above 0.9668% at both pixel and segment levels for three test sites with diverse urban landscapes.


2015 ◽  
Vol 15 (4) ◽  
pp. 715-722 ◽  
Author(s):  
G. Bossi ◽  
M. Cavalli ◽  
S. Crema ◽  
S. Frigerio ◽  
B. Quan Luna ◽  
...  

Abstract. The geomorphological change detection through the comparison of repeated topographic surveys is a recent approach that benefits greatly from the latest developments in topographical data acquisition techniques. Among them, airborne LiDAR makes the monitoring of geomorphological changes a more reliable and accurate approach for natural hazard and risk management. In this study, two LiDAR digital terrain models (DTMs) (2 m resolution) were acquired just before and after a complex 340 000 m3 landslide event (4 November 2010) that generated a debris flow in the channel of the Rotolon catchment (eastern Italian Alps). The analysis of these data was used to set up the initial condition for the application of a dynamic model. The comparison between the pre- and post-event DTMs allowed us to identify erosion and depositional areas and the volume of the landslide. The knowledge of the phenomenon dynamics was the base of a sound back analysis of the event with the 3-D numerical model DAN3D. This particular code was selected for its capability to modify the rheology and the parameters of the moving mass during run-out, as actually observed along the path of the 2010 debris flow. Nowadays some portions of Mt. Rotolon flank are still moving and show signs of detachment. The same soil parameters used in the back-analysis model could be used to simulate the run-out for possible future landslides, allowing us to generate reliable risk scenarios useful for awareness of civil defense and strategy of emergency plans.


2014 ◽  
Vol 2 (10) ◽  
pp. 6453-6474 ◽  
Author(s):  
G. Bossi ◽  
M. Cavalli ◽  
S. Crema ◽  
S. Frigerio ◽  
B. Quan Luna ◽  
...  

Abstract. The geomorphological change detection through the comparison of repeated topographic surveys is a recent approach that benefits greatly from the latest developments in topographical data acquisition techniques. Among them, airborne LiDAR makes the monitoring of geomorphological changes a more reliable and accurate approach for natural hazard and risk management. In this study, two LiDAR-DTMs (2 m resolution) were acquired just before and after a complex 340 000 m3 landslide event (4 November 2010) that generated a debris flow in the channel of the Rotolon catchment (Eastern Italian Alps). The analysis of these data was used to set up the initial condition for the application of a dynamic model. The comparison between the pre- and post-event DTMs allowed to identify erosion and depositional areas and the volume of the landslide. The knowledge of the phenomenon dynamics was the base of a sound back-analysis of the event with the 3-D numerical model DAN3D. This particular code was selected for its capability to modify the rheology and the parameters of the moving mass during run-out, as actually observed along the path of the 2010 debris flow. Nowadays some portions of Mt. Rotolon flank are still moving and show signs of detachment. The same soil parameters used in the back-analysis model could be used to simulate the run-out for possible future landslides allowing to generate reliable risk scenarios useful for awareness of civil defense and strategy on emergency plans.


2021 ◽  
Author(s):  
Gabriella Boretto ◽  
Stefano Crema ◽  
Lorenzo Marchi ◽  
Giovanni Monegato ◽  
Luciano Arziliero ◽  
...  

<p>Extreme meteorological events are important causes of environmental damages, particularly in mountain areas that can be heavily affected by destructive processes such as landslides and debris flows. From 27 and 30 October 2018, an extraordinary storm - named Vaia - hit Northeastern Italy. The Vaia storm triggered mass wasting processes, generated new slope instabilities, caused widespread windthrows, and damaged human infrastructure. This work aims at assessing the effect of the Vaia storm in the Liera Torrent basin (Venetian Dolomites, Italy), by building and comparing sediment source inventories before and after the Vaia storm. The Liera basin drains an area of 35 km<sup>2</sup> and elevation ranges between 976 and 3192 m a.s.l. The mapping and classification of the sediment sources have been carried out through the interpretation of high-resolution orthophotos and Digital Terrain Models (DTMs) derived from airborne LiDAR data (1-m resolution) acquired in 2015 and 2019. A topography-based index of sediment connectivity has been applied to characterize connectivity spatial patterns at catchment scale and identifying the sediment sources on the hillslopes effectively connected to the Liera torrent. A preliminary connectivity analysis showed that the upstream sector the catchment located in the Pale di San Martino plateau is not effectively connected to the lower Liera valley because of its karstic environment and debris originated from the highest portion of the relief are confined in a hollow. Thus the inventories have been limited to the medium and lower parts of the catchment considering an area of 20 km<sup>2</sup>. Results indicated a total of 1650 sediment source areas after the Vaia event, with an areal increase of about 20% with respect to 2015 inventory, especially due to the development of landslide (843 in total for the 2019 inventory), expansion of the debris flow channel (257) and areas subject to surficial erosion (127). Other areas that have been identified encompass debris flow deposit (288), rock fall deposit (31), stream bank erosion (45), and other sediment source areas which need field survey to be properly classified (59). The analysis allowed: (1) obtaining reliable and detailed pre- and post- event sediment sources inventories, (2) assessing sediment connectivity at the catchment scale, which is fundamental for estimating the contribution of sediment sources and related transfer paths, (3) improving sediment dynamics understanding related to the Vaia storm in the study area. Future analysis will focus on field validation and residual sediment availability for the investigated areas. This study was carried out in the frame of the Interreg V-A Italy - Austria SedInOut project.</p>


2018 ◽  
Author(s):  
Sang Hoon Lee ◽  
Jeff Blackwood ◽  
Stacey Stone ◽  
Michael Schmidt ◽  
Mark Williamson ◽  
...  

Abstract The cross-sectional and planar analysis of current generation 3D device structures can be analyzed using a single Focused Ion Beam (FIB) mill. This is achieved using a diagonal milling technique that exposes a multilayer planar surface as well as the cross-section. this provides image data allowing for an efficient method to monitor the fabrication process and find device design errors. This process saves tremendous sample-to-data time, decreasing it from days to hours while still providing precise defect and structure data.


Author(s):  
Sanjeeva Kumar Goud T ◽  
Rahul Kunkulol

The present study was aimed to study the effect of Sublingual Vitamin D3 on Serum Vitamin D level in Vitamin D deficiency patients. This was a cross-sectional and interventional study. All the Vitamin D deficiency patients of age 18-60years and either gender, willing to participate in the study were included. Patients who had greater than 20 ng/ml were excluded from the study. The total number of participants in our study was 200, out of these 111 males and 89 females, the mean age in our study was 51.07 ± 7.39Yrs. All volunteers were given sublingual vitamin D3 (60,000IU) in six doses every fifteen days of follow up for 3 months. The subject’s serum 25(OH)D levels were estimated before and after the treatment of sublingual vitamin D3. There was a statistically significant difference in serum vitamin D3 level before 16.61±6.71 ng/ml and after 35.80±7.80 ng/ml after treatment with Sublingual Vitamin D3. Six doses of 60,000IU of Vitamin D3 sublingual route having improved the role of serum 25(OH)D levels in the treatment of Vitamin D3 deficiency patients.Keywords: Vitamin D3; Sublingual route


Author(s):  
I Ketut Widana

The working practice of the engineering students is part of the learning process that is irreducible and indispensable. The composition of  lecturing between theoretical and practical one is 40% to 60%. With this condition, the students spend more time at the laboratory. Generally, the students perform in the laboratory work by standing position. The design of research is observational cross-sectional. The method applied is observation, interview and measuring. The subjects of research are practicing students amounting to 21 students. Referring to the analysis of statistical test or Wilcoxon signed ranks test, the difference of effect of work position is significant, namely p < 0.05 towards musculoskeletal disorders (MSDs) before and after working. The quantity of the average complaint after working is score 44.62 ± 9.47. The result of Wilcoxon signed rank test shows that there is significant different effects of standing work position, namely p < 0.05 towards fatigue generally before and after working. The degree of the working pulse is on the average of 110.78  ± 17.80 bpm (beats per minutes) which can be categorized into the medium workload. Using paired t-test, the result is p < 0.05.


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