Landslide early warning system prototype with GIS analysis indicates by soil movement and rainfall

Artha, Y; Julian, Engelin Shintadewi

doi:10.1088/1755-1315/106/1/012012

Cited by 6 publications

(2 citation statements)

References 1 publication

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“…This can highlight the existence of lowresistivity anomalies and is conducive to the investigation and follow-up evaluation of landslide disasters caused by heavy rainfall. Julian [53]. The resistivity decreased significantly before and after rainfall, the area of low-resistivity anomaly increased by about 400 m 2 , and the lowest resistivity decreased from 40 (Ω•m) to 25 (Ω•m).…”

Section: Geofluidsmentioning

confidence: 94%

Research on Internal Structure and Mechanism of Landslide Based on Hydrogeophysical Investigation (Quan’an Landslide, Southwest China)

Wang

et al. 2022

Geofluids

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The survey area is located in the planning area of Longquan national urban park, with frequent human activities, numerous water conservancy, transportation projects, and frequent geological disasters such as landslides. The Red Mudstone has low strength and easy to soften in the case of water, and it is very prone to landslide in rainy season. At present, there are many studies on Red Mudstone Landslides, but most of them are analyzed by geological means, and the monitoring process is also dominated by surface deformation and settlement; there is less analysis with hydrogeological that is caused by rainfall and human activities. For Red Mudstone Landslides, to effectively reveal and analyze the process of the Slip Mechanism, we need to carry out the characteristics of hydrogeological structure and underground physical structure, and compare with surface monitoring and point geological structure. In this study, a one-year field survey and hydrogeophysical survey were carried out. Combined with the characteristics of environmental geology, the geophysical forward modeling problem based on finite element method was used to verify the influence of rainfall on the electrical characteristics of underground media. The smoothness constrained least square method and three-dimensional unstructured grid method are used to interpret the ERT data, analyze the abnormal patterns of electrical structure of landslide in different seasons, and correspond well with the GPR data. According to the characteristics of surface vegetation and weathering, as well as the displacement and settlement monitoring after landslide, the spatial characteristics of red bed landslide are revealed, and the relationship between landslide, rainfall, and human activities is clarified.

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Section: Geofluidsmentioning

confidence: 94%

Research on Internal Structure and Mechanism of Landslide Based on Hydrogeophysical Investigation (Quan’an Landslide, Southwest China)

Wang

et al. 2022

Geofluids

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“…It was estimated that 101,500 cubic meters of earth had translated, represents one of the major landslide phenomena that occurred in Ulu Kelang Selangor. An early warning system is capable to reduce or minimize the impact of landslide occurences on human, property damage and loss of live [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Rainfall–landslide early warning system (RLEWS) using TRMM precipitation estimates

Ya’acob¹,

Tajudin²,

Azize³

2019

IJEECS

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<span lang="EN-MY">This paper presents Rainfall–Landslide Early Warning System (RLEWS) using Tropical Rainfall Measuring Mission (TRMM) precipitation estimates to notify the warning level for the possibility of landslide occurrences in Ulu Kelang, Selangor. In this study, RLEWS is developed to monitor the possibility of rainfall-induced landslide occurrences by comparing real time TRMM rainfall data with a landslide rainfall threshold. The landslide rainfall threshold is constructed by using the accumulated rainfall-accumulated rainfall (E-E) diagram method. The warning levels of rainfall threshold are classified into three levels; high, moderate and low. The analysis and notification are updating every 24 hours to provide the initial potential landslide information signal. The rainfall threshold analysis was able to detect the early signal of initial potential landslide occurrences. The aims of this study are to develop a low-cost, sustainable early warning system and web base application to send notification and awareness for residential areas in Ulu Kelang, Selangor.</span>

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An Integrated WebGIS System for Shallow Landslide Hazard Early Warning

Hung²,

Sayama

et al. 2020

Understanding and Reducing Landslide Disaster Risk

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Landslide early warning system prototype with GIS analysis indicates by soil movement and rainfall

Cited by 6 publications

References 1 publication

Research on Internal Structure and Mechanism of Landslide Based on Hydrogeophysical Investigation (Quan’an Landslide, Southwest China)

Research on Internal Structure and Mechanism of Landslide Based on Hydrogeophysical Investigation (Quan’an Landslide, Southwest China)

Rainfall–landslide early warning system (RLEWS) using TRMM precipitation estimates

An Integrated WebGIS System for Shallow Landslide Hazard Early Warning

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