Rock landslide early warning system combining slope stability analysis, two-stage monitoring, and case-based reasoning: a case study

2021 ◽  
Author(s):  
Feiyue Liu ◽  
Zhenqi Yang ◽  
Wenxue Deng ◽  
Tianhong Yang ◽  
Jingren Zhou ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Case Based Reasoning ◽  
Rock Landslide ◽  
Landslide Early Warning ◽  
Case Based

The Open Colliery Slope Mechanics Stability Analysis and Forecasting Methods Reasearching

2012 ◽  
Vol 157-158 ◽  
pp. 743-746
Author(s):  
Hai Bo Jiang ◽  
Chang Sheng Ji ◽  
Ying Qiu Shu ◽  
Jiang Li
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Slope Stability Analysis ◽  
Forecasting Methods

The slope, out-dump ,inner-dump and work-slope, is the important part in the open colliery. Slope should bring the huge loss without effective forecast during the work. Many methods have been used in the slope stability analysis to escape the slope. Dffective landslide forecast can improve the early warning system of landslides and mitigate the landslide disasters. In this paper, the methods used in the analysis have been list and forecast reasearch should be discuss. The better method could be get from integrate the multi-method.

scholarly journals Development of a Landslide Early Warning System in Indonesia

Geosciences ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 451 ◽  
Author(s):  
Rokhmat Hidayat ◽  
Samuel Jonson Sutanto ◽  
Alidina Hidayah ◽  
Banata Ridwan ◽  
Arif Mulyana
Keyword(s):  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Economic Losses ◽  
Precipitation Data ◽  
Threshold Method ◽  
Landslide Occurrence ◽  
Daily Precipitation Data ◽  
Landslide Early Warning

Landslides are one of the most disastrous natural hazards in Indonesia, in terms of number of fatalities and economic losses. Therefore, Balai Litbang Sabo (BLS) has developed a Landslide Early Warning System (LEWS) for Indonesia, based on a Delft–FEWS (Flood Early Warning System) platform. This system utilizes daily precipitation data, a rainfall threshold method, and a Transient Rainfall Infiltration and Grid-based Regional Slope-stability model (TRIGRS) to predict landslide occurrences. For precipitation data, we use a combination of 1-day and 3-day cumulative observed and forecasted precipitation data, obtained from the Tropical Rainfall Measuring Mission (TRMM) and the Indonesian Meteorological Climatological and Geophysical Agency (BMKG). The TRIGRS model is used to simulate the slope stability in regions that are predicted to have a high probability of landslide occurrence. Our results show that the landslides, which occurred in Pacitan (28 November 2017) and Brebes regions (22 February 2018), could be detected by the LEWS from one to three days in advance. The TRIGRS model supports the warning signals issued by the LEWS, with a simulated factor of safety values lower than 1 in these locations. The ability of the Indonesian LEWS to detect landslide occurrences in Pacitan and Brebes indicates that the LEWS shows good potential to detect landslide occurrences a few days in advance. However, this system is still undergoing further developments for better landslide prediction.

scholarly journals Early warning system for shallow landslides using rainfall threshold and slope stability analysis

2018 ◽  
Vol 9 (6) ◽  
pp. 1871-1882 ◽  
Author(s):  
Shruti Naidu ◽  
K.S. Sajinkumar ◽  
Thomas Oommen ◽  
V.J. Anuja ◽  
Rinu A. Samuel ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Rainfall Threshold ◽  
Slope Stability Analysis ◽  
Shallow Landslides

KAJIAN KEKUATAN SINYAL RADIO (RSSI) XBEE DALAM RANGKA PEMASANGAN LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN GARUT, TASIKMALAYA DAN MAJALENGKA

2019 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Riski Fitriani
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Received Signal Strength Indicator ◽  
Landslide Early Warning ◽  
Point To Point

Salah satu inovasi untuk menanggulangi longsor adalah dengan melakukan pemasangan Landslide Early Warning System (LEWS). Media transmisi data dari LEWS yang dikembangkan menggunakan sinyal radio Xbee. Sehingga sebelum dilakukan pemasangan LEWS, perlu dilakukan kajian kekuatan sinyal tersebut di lokasi yang akan terpasang yaitu Garut, Tasikmalaya, dan Majalengka. Kajian dilakukan menggunakan 2 jenis Xbee yaitu Xbee Pro S2B 2,4 GHz dan Xbee Pro S5 868 MHz. Setelah dilakukan kajian, Xbee 2,4 GHz tidak dapat digunakan di lokasi pengujian Garut dan Majalengka karena jarak modul induk dan anak cukup jauh serta terlalu banyak obstacle. Topologi yang digunakan yaitu topologi pair/point to point, dengan mengukur nilai RSSI menggunakan software XCTU. Semakin kecil nilai Received Signal Strength Indicator (RSSI) dari nilai receive sensitivity Xbee maka kualitas sinyal semakin baik. Pengukuran dilakukan dengan meninggikan antena Xbee dengan beberapa variasi ketinggian untuk mendapatkan kualitas sinyal yang lebih baik. Hasilnya diperoleh beberapa rekomendasi tinggi minimal antena Xbee yang terpasang di tiap lokasi modul anak pada 3 kabupaten.

scholarly journals Brief communication "Landslide Early Warning System: toolbox and general concepts"

2013 ◽  
Vol 13 (1) ◽  
pp. 85-90 ◽  
Author(s):  
E. Intrieri ◽  
G. Gigli ◽  
N. Casagli ◽  
F. Nadim
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Early Warning Systems ◽  
End Users ◽  
Flow Chart ◽  
Warning Systems ◽  
Limited Experience ◽  
Practical Guidelines ◽  
Landslide Early Warning

Abstract. We define landslide Early Warning Systems and present practical guidelines to assist end-users with limited experience in the design of landslide Early Warning Systems (EWSs). In particular, two flow chart-based tools coming from the results of the SafeLand project (7th Framework Program) have been created to make them as simple and general as possible and in compliance with a variety of landslide types and settings at single slope scale. We point out that it is not possible to cover all the real landslide early warning situations that might occur, therefore it will be necessary for end-users to adapt the procedure to local peculiarities of the locations where the landslide EWS will be operated.

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