LANDSLIDE RUNOUT DISTANCE PREDICTION BASED ON MECHANISM AND CAUSE OF SOIL OR ROCK MASS MOVEMENT

Landslide often occurs in tropical hills area, such as Indonesia. Research on landslide hazard evaluation is necessary to decrease the impact in affected and surrounding areas. Empirical-statistical methods can be used to predict landslide run out distance in an effort to avoid the danger of landslide occurrences. This study aims to determine the correlation between landslide run out distance against high, slope, and volume based on mechanisms and causes of soil or rock mass movement. Data mainly from 106 landslides in Indonesia has been analyzed to search for possible correlations and empirical correlations, there are 34 rotational slides, 54 translational slides, 8 debris flows, and 10 rock falls. Analysis begins by studying the characteristics of the data (explanatory data analysis) and then analyzed by using empirical methods such as geomorphological assessment and geometrical approaches. Then the data is processed by simple linear regression and multiple linear regression method using the R software. The results obtained from the analysis of the general empirical equation form of the correlation between height (H) and run out distance (L) is 1.066H1.093, respectively. This results indicate the higher altitude slopes, the greater distance will happen. The results of the analysis correlation between height and run out distance for the type of mass movements for rotational is L=1.346+1.788 H, translational is L=-3.88+1.578H, debris flow is L=0.682H1.29, and rock fall is L=2.223H0.897. This result shows debris flows landslide run out distance is greater than rotational, translational and rock fall. The results of the analysis correlation between height and run out distance of the trigger due to the rain is L=1.267H1.027, and by an earthquake is L=0.574H1.38. This results show run out distance caused by an earthquake is larger than caused by rain. The correlation between the run out distance and volume (V) yields empirical equation which is V=0.772L2.108. This results indicate that greater run out distance is affected by the growing volume of mass movement. The results of the analysis correlation between height and slope (θ) to run out distance is L=1.448H1.062 tan θ-0,482. This results indicate that slope has a significant impact on the value of landslide run out distance.

Download Full-text

Pengaruh Dukungan Supervisor dan Pemberdayaan Terhadap Organizational Citizenship Behavior

Binus Business Review ◽

10.21512/bbr.v5i1.1205 ◽

2014 ◽

Vol 5 (1) ◽

pp. 158

Author(s):

Tinjung Desy Nursanti ◽

Aida Dwi Anissa

Keyword(s):

Linear Regression ◽

Organizational Citizenship ◽

Organizational Citizenship Behavior ◽

Primary Data ◽

Citizenship Behavior ◽

Survey Method ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Multiple Linear Regression Method ◽

The Impact

Study aims to determine and obtain a clear picture of supportive supervisor, empowerment, and organizational citizenship behavior; and to determine the impact of supportive supervisor and empowerment towards organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Research used explanatory survey method, while the sample was taken from employees of the company. Research instrument (questionnaires) was used as primary data collection to explain the causal relationship between supportive supervisor and empowerment on organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Analysis used simple linear regression and multiple linear regression method. Result of this study shows that there is significant influence between supportive supervisor and empowerment towards organizational citizenship behavior.

Download Full-text

Anticipating cascading risks at the imminent Hochvogel peak failure

10.5194/egusphere-egu21-9581 ◽

2021 ◽

Author(s):

Johannes Leinauer ◽

Manfred Meindl ◽

Benjamin Jacobs ◽

Verena Stammberger ◽

Michael Krautblatter

Keyword(s):

Debris Flow ◽

Debris Flows ◽

Point Clouds ◽

Volume Estimation ◽

Rock Fall ◽

Recent Case ◽

Hazard Evaluation ◽

Event Analysis ◽

Worst Case ◽

Cascading Effects

Climatic changes are exacerbating the risk of alpine mass movements for example through more frequent and extreme heavy precipitation events. To cope with this situation, the monitoring, anticipation, and early warning of rock slope failures based on process dynamics is a key strategy for alpine communities. However, only investigating the release area of an imminent event is insufficient, as the primary hazard can trigger or increase secondary hazards like debris flows or the damming of a river. Nevertheless, recent case studies dealing with successive hazards are rarely existent for the Calcareous Alps. In this study, we precisely investigate the cascading effects resulting from an imminent rock fall and perform a pre-event analysis instead of back-modelling of a past event.The Hochvogel summit (2592 m&#160;a.s.l., Allg&#228;u Alps, Germany/Austria) is divided by several pronounced clefts that separate multiple instable blocks. 3D-UAV point clouds reveal a potentially instable mass of 260,000&#160;m&#179; in six main subunits. From our near real time monitoring system (Leinauer et al. 2020), we know that some cracks are opening at faster pace and react differently to heavy rainfall, making a successive failure of subunits likely. However, pre-deformations are not yet pronounced enough to decide on the exact expected volume whereas secondary effects are likely as the preparing rock fall mass will be deposited into highly debris-loaded channels. Therefore, we developed different rock fall scenarios from the gathered monitoring information, which we implemented into a RAMMS modelling of secondary debris flows. To obtain best- and worst-case results, each scenario is calculated with different erosion parameters in the runout channel. The models are calibrated with a well-documented debris flow event at Ro&#223;bichelgraben (10&#160;km NW and similar lithology) and are supported by field investigations in the runout channel including electrical resistivity tomography profiles (ERT) for determination of the depth of erodible material as well as a drone survey for mapping the area and the generation of an elevation model.Here we show a comprehensive scenario-based assessment for anticipating cascading risks at the Hochvogel from initial rock failure volume estimation to debris flow evolution and potential river damming. This recent case study from an alpine calcareous peak is an excellent and rare chance to gain insights into cascading risks modelling and an improved hazard evaluation.

Download Full-text

Quantifying the Impact of Linear Regression Model in Deriving Bio-Optical Relationships: The Implications on Ocean Carbon Estimations

Sensors ◽

10.3390/s19133032 ◽

2019 ◽

Vol 19 (13) ◽

pp. 3032 ◽

Cited By ~ 6

Author(s):

Bellacicco ◽

Vellucci ◽

Scardi ◽

Barbieux ◽

Marullo ◽

...

Keyword(s):

Linear Regression ◽

Regression Method ◽

Linear Regression Method ◽

Type I ◽

Ocean Colour ◽

Data Set ◽

Argo Floats ◽

In Situ Data ◽

Carbon Biomass ◽

The Impact

Linear regression is widely used in applied sciences and, in particular, in satellite optical oceanography, to relate dependent to independent variables. It is often adopted to establish empirical algorithms based on a finite set of measurements, which are later applied to observations on a larger scale from platforms such as autonomous profiling floats equipped with optical instruments (e.g., Biogeochemical Argo floats; BGC-Argo floats) and satellite ocean colour sensors (e.g., SeaWiFS, VIIRS, OLCI). However, different methods can be applied to a given pair of variables to determine the coefficients of the linear equation fitting the data, which are therefore not unique. In this work, we quantify the impact of the choice of “regression method” (i.e., either type-I or type-II) to derive bio-optical relationships, both from theoretical perspectives and by using specific examples. We have applied usual regression methods to an in situ data set of particulate organic carbon (POC), total chlorophyll-a (TChla), optical particulate backscattering coefficient (bbp), and 19 years of monthly TChla and bbp ocean colour data. Results of the regression analysis have been used to calculate phytoplankton carbon biomass (Cphyto) and POC from: i) BGC-Argo float observations; ii) oceanographic cruises, and iii) satellite data. These applications enable highlighting the differences in Cphyto and POC estimates relative to the choice of the method. An analysis of the statistical properties of the dataset and a detailed description of the hypothesis of the work drive the selection of the linear regression method

Download Full-text

Tree rings and debris flows: Recent developments, future directions

Progress in Physical Geography Earth and Environment ◽

10.1177/0309133310370283 ◽

2010 ◽

Vol 34 (5) ◽

pp. 625-645 ◽

Cited By ~ 52

Author(s):

Michelle Bollschweiler ◽

Markus Stoffel

Keyword(s):

Debris Flow ◽

Tree Rings ◽

Debris Flows ◽

Mass Movement ◽

Wide Field ◽

Mountain Areas ◽

Additional Information ◽

Recent Developments ◽

Spatial Positioning ◽

The Impact

The sudden and unpredictable occurrence of debris flows poses major problems in many mountain areas in the world. For a realistic hazard assessment, knowledge of past events is of crucial importance. As archival data is generally fragmentary, additional information sources are needed for an appraisal of past and contemporary events as well as for the prediction of potential future events. Tree rings represent a very valuable natural archive on past debris-flow occurrence as they may record the impact of events in their tree-ring series. In the past few years, dendrogeomorphology has evolved from a pure dating tool to a broad range of applications. Besides the reconstruction of frequencies, tree rings allow — if coupled with spatial positioning methods — the determination of spread and reach of past events. Similarly, the wide field of applications includes the identification of magnitudes and triggers of debris-flow events. Besides demonstrating recent developments in the use of tree rings for debris-flow research, this contribution also provides a short overview on the application of tree rings for other mass-movement processes and highlights further possibilities of the method. Established techniques can be applied to related processes such as debris floods, flash floods or lahars. Data obtained can also be used to calibrate modeling approaches. The impact of past and future climatic changes on debris-flow occurrence is furthermore an important aspect where tree rings can be of help.

Download Full-text

Religiosity and Halal Certification: Its Effect on Interest in Buying Traditional Food

Li Falah : Jurnal Studi Ekonomi dan Bisnis Islam ◽

10.31332/lifalah.v6i2.2994 ◽

2022 ◽

Vol 6 (2) ◽

pp. 79

Author(s):

Najmudin Najmudin ◽

Syihabudin Syihabudin

Keyword(s):

Data Analysis ◽

Linear Regression ◽

Research Method ◽

Quantitative Methods ◽

Regression Method ◽

Linear Regression Method ◽

Traditional Food ◽

Questionnaire Data ◽

Multiple Linear Regression Method ◽

The Impact

This study aims to determine (1)—the influence of religiosity on the interest in buying traditional food of sate bandeng. (2). The effect of halal certification on the interest in buying traditional food of sate bandeng. And (3). The impact of religiosity and halal certification on interest in buying traditional food of sate bandeng. This research is the millennial consumers of traditional food of Sate Bandeng Kang Cepi Kaujon, Serang City, Banten Province. The research method used is quantitative. Methods of data collection using a questionnaire. Data were processed using SPSS version 23 software. Data analysis used the multiple linear regression method. The results of this study indicate that (1). Religiosity affects an interest in buying traditional food of Sate Bandeng. (2). Halal certification affects an interest in buying traditional food of sate bandeng (3). Religiosity and halal certification have a positive and significant impact on interest in buying traditional food of Sate Bandeng. Consumers’ interest in buying traditional food of Sate Bandeng is influenced by religiosity and halal certification as much as 48.8 percent. In comparison, the remaining 51.2 percent is influenced by other variables not examined in this study.

Download Full-text

Assessing the impact of mass movements on alpine trails and huts using EO data

10.5194/egusphere-egu2020-21325 ◽

2020 ◽

Author(s):

Florian Albrecht ◽

Daniel Hölbling ◽

Lorena Abad ◽

Zahra Dabiri ◽

Gerald Reischenböck ◽

...

Keyword(s):

Natural Hazards ◽

Debris Flows ◽

Mass Movement ◽

Tourism Industry ◽

Landslide Susceptibility Mapping ◽

User Requirements ◽

Mass Movements ◽

Infrastructure Management ◽

Austrian Alps ◽

The Impact

The alpine infrastructure of trails and huts is an essential asset for summer tourism in the Austrian Alps. Every year, around five million people use the trail network for hiking and other mountaineering activities. Mass movements such as shallow landslides, debris flows and rockfalls cause significant damages to the alpine infrastructure and may block access to certain mountain areas for weeks or even months. Such damages require repair and increased maintenance activity or even rerouting of trails. Climate change will exacerbate the problem as more frequent and severe mass movements can be expected. Therefore, the Alpine associations have to take natural hazards into account for their trail and hut management.A promising opportunity for assessing the impact of natural hazards on alpine infrastructure arises through the new generation of Earth observation (EO) satellites of the European Copernicus programme. The high spatial and temporal resolution allows the detection of mass movements with an impact on trails and huts.Therefore, we initiated the project MontEO (The impact of mass movements on alpine trails and huts assessed by EO data) to investigate the opportunities for EO-based mass movement mapping and hazard impact assessment for alpine infrastructure. We start with a user requirements analysis that describes the demand for consistent and appropriate information on mass movements for alpine infrastructure management. We perform interviews with the Alpine associations and other relevant stakeholders. They help us to identify significant mass movements, their impact on the alpine infrastructure, and the actions that trail keepers and hut facility managers take to deal with the impacts. Based on this, we assess the suitability of EO-derived mass movement information for alpine infrastructure management, and define requirements for its production and delivery.Based on the user requirements, we develop a multi-scale approach and combine optical and synthetic aperture radar (SAR) satellite data (e.g. Sentinel-1/2, Pl&#233;iades) to comprehensively map mass movements and to detect mass movement hotspots. Further, we integrate the EO-based mapping results with ancillary data for landslide susceptibility mapping, and for modelling and simulating rockfalls and debris flows. Finally, we analyse the network of trails and huts in relation to the obtained mass movement information and thereby assess their impact on alpine infrastructure, i.e. identify the trails and huts that are (potentially) affected by mass movements.We demonstrate the concept and methods for three study areas in the Austrian Alps: Gro&#223;arl and Kleinarl Valley in Salzburg, Karwendel in Tyrol, and the Salzkammergut in central &#160;Austria. For these areas, we will create EO-based mass movement inventory maps, hotspot maps, and hazard impact maps. We validate our results in close collaboration with the users and analyse their usefulness for alpine infrastructure maintenance and management. The outcomes of MontEO will contribute to improved maintenance efficiency and will lead to a safer alpine infrastructure with an increased value for hikers, the tourism industry and the society.

Download Full-text

Impact of Delay on Cost Overrun in Construction Projects in Algeria

European Journal of Interdisciplinary Studies ◽

10.26417/ejis.v5i2.p25-30 ◽

2019 ◽

Vol 5 (2) ◽

pp. 25

Author(s):

Salhi Roumeissa

Keyword(s):

Linear Regression ◽

Construction Projects ◽

Project Success ◽

Regression Method ◽

Linear Regression Method ◽

Cost Overrun ◽

Simple Linear Regression ◽

Schedule Delay ◽

Proposed Model ◽

The Impact

Project success is the ultimate goal of the various project stackeholders (Salhi.R 2018). Asuccessful project means that the project is completed on time, within the agreed budget and according to the contract specifications. Delay is one of the most reccuring problems in construction project in Algeria, and it is considered as the main cause of cost overrun, time overrun, disput and claims.The objective of this paper is to mesure the impact of schedule delay on cost overrun, using the simple linear regression method and the coefficient of correlation. The proposed model can be used by practitioners as predictive mesure to address possible cost overrun.

Download Full-text

Women’s professional activity as an element of human capital management in the aspect of non-formal employment

Problems and Perspectives in Management ◽

10.21511/ppm.16(4).2018.31 ◽

2018 ◽

Vol 16 (4) ◽

pp. 375-383

Author(s):

Monika Pasternak-Malicka ◽

Aldona Migała-Warchoł

Keyword(s):

Human Capital ◽

Linear Regression ◽

Informal Employment ◽

Professional Activity ◽

Occupational Activity ◽

Linear Regression Method ◽

Capital Management ◽

Human Capital Management ◽

Regression Methods ◽

The Impact

The aim of the article is an attempt to assess the impact of women’s occupational activity on the tendency to take up informal employment as an element of human capital management. The paper attempts to assess the relationship between the unemployment rate and the employment rate and the share of informal work in GDP. Methodology: The implementation of the objective required the use of statistical methods, in particular, linear regression methods. Results: The publication describes the nature of informal employment, the level of professional activity of women in the selected European Union countries in 2017. Based on statistical data, an attempt was made to assess the impact of professional activity among women on non-formal work based on the linear regression method.

Download Full-text

PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH PADA BANK NAGARI CABANG LUBUK SIKAPING

Jurnal Apresiasi Ekonomi ◽

10.31846/jae.v3i2.181 ◽

2019 ◽

Vol 3 (2) ◽

pp. 116-128

Author(s):

Yurasti Yurasti

Keyword(s):

Linear Regression ◽

Customer Satisfaction ◽

Service Quality ◽

Multiple Linear Regression ◽

Linear Regression Method ◽

Literature Study ◽

Significance Level ◽

Level Of Satisfaction ◽

The Impact

THE IMPACT OF SERVICE QUALITY ON CUSTOMER SATISFACTION WITH BANK NAGARI BRANCH LUBUK SIKAPING This study aims to determine how much the influence of the dimensions of service quality to the level of satisfaction felt by customers who use the services of Bank Nagari Lubuk Sikaping Branch. The model which is used in this study is the method of observation, interviews, questionnaires, and literature study by using a likert scale and sampling method used was accidental sampling a total of 100 samples. The analytical method used is multiple linear regression method (multiple linear regression). The results showed that the dimensions of service quality consists of Tangible (X1), Empathy (X2), Responsiveness (X3), Reliability (X4), and Assurance (X5) collectively - have the same positive effect. Where the regression equation Y = 10.671 + 0.688 X1 + 0.057 X2 + 0.318 X3 + 0.996 X4 - X5 + 0.209 + e. In addition, the F-test shows that the quality of services has a significant impact on customer satisfaction with a significant level of 0.000 or 0%. While based on partial test (t), all the variables also have a significant impact on customer satisfaction for Tangible significance level is 0.001, or 0.1%; Empathy is 0,001, or 0.1%; Responsiveness 0.001 or 0.1%; Reliability 0,000 or 0%; Assurance of 0.004 or 0.4%. Keywords: Customer Satisfaction, Tangible, Empathy, Responsiveness, Reliability, and Assurance.

Download Full-text

Qualitative analysis of the impact of mass movements on the alpine hiking infrastructure

10.5194/egusphere-egu21-7718 ◽

2021 ◽

Author(s):

Florian Albrecht ◽

Daniel Hölbling ◽

Lorena Abad ◽

Zahra Dabiri ◽

Gabriela Scheierl ◽

...

Keyword(s):

Debris Flows ◽

Mass Movement ◽

Tourism Industry ◽

Mass Movements ◽

Infrastructure Management ◽

Structured Interviews ◽

Entire Area ◽

Alpine Regions ◽

Radar Satellite ◽

The Impact

The hiking infrastructure of trails and huts is a strong asset for summer tourism in the Austrian Alps. However, this infrastructure is prone to different types of mass movements, such as rainfall-induced shallow landslides, debris flows and rockfalls, that potentially block the access to mountain huts and hiking routes for weeks or even months. Thus, alpine infrastructure management has an increased need for information about mass movements that affect trails.The project MontEO ("The impact of mass movements on alpine trails and huts assessed by Earth observation (EO) data") aims for a better understanding of the diverse impacts of mass movements on the alpine infrastructure and the related efforts for infrastructure management and maintenance, by mass movement mapping and susceptibility modelling. We performed a user requirements analysis that identified relevant stakeholders and pinpointed both user needs and requirements for information about mass movement impact on alpine infrastructure. Semi-structured interviews with trail keepers and other stakeholders revealed information about the relevance of the topic for the respective organisation, the role of the interviewed person within the organisation and the experiences and tasks that relate to mass movements.Our preliminary results identified sections of alpine associations, tourism associations, and alpine farmers as the main stakeholders that assume responsibility for operating the trails. The interviews with trail keepers, alpine association officials and professional trail builders indicated that they consider information on mass movement particularly valuable for mid- to long-term planning of maintenance efforts and revisions, as well as for the construction of new and the re-location of existing trails. Damage due to mass movements is mainly relevant in high alpine regions and in locations where terrain and environmental conditions favour them. An example of how mass movements can affect infrastructure is a rockfall damaging safety ropes and feeding a scree that becomes a source for debris flows covering the existing path. Resulting maintenance efforts include the restoration of a debris-covered trail and the re-installation of safety ropes along the trail by a skilled builder with heavy equipment. If situated in a heavily affected region, the frequency of damage from mass movements may render the trail too costly to maintain. Either it needs to be relocated to a new route in less landslide-prone terrain or it has to be given up entirely.Currently, we are in the process of mapping mass movements with optical and radar satellite data in four Austrian study areas. Combining the mass movement mapping and susceptibility modelling results with estimated efforts for trail maintenance will enable the detailed assessment of the mass movement impact for an entire area of responsibility of the section of an alpine association. If the validation with stakeholders proves that the impact assessment can be used in strategic trail management or the planning of maintenance activities, the MontEO project will result in a safer alpine infrastructure and an increased value for the tourism industry.

Download Full-text