Exploration of the characteristics of landslide triggering rainfall using rain gauge and numerical weather prediction for Yogyakarta and Central Java, Indonesia

2020 ◽  
Author(s):  
Ratna Satyaningsih ◽  
Ardhasena Sopaheluwakan ◽  
Danang Eko Nuryanto ◽  
Tri Astuti Nuraini ◽  
Arif Rahmat Mulyana ◽  
...  
Keyword(s):  
Numerical Weather Prediction ◽  
Early Warning ◽  
Early Warning System ◽  
Rainfall Intensity ◽  
Weather Prediction ◽  
Warning System ◽  
Rainfall Data ◽  
Numerical Weather ◽  
Central Java ◽  
Landslide Early Warning

<p>The existing Landslide Early Warning System (LEWS) for Indonesia was developed using rainfall thresholds, which were derived from the relationship between rainfall inducing landslides and landslide events in the past. The system utilized the median values of 1-day and 3-day cumulative observed rainfall for determining the threshold and a relatively limited number of landslide events throughout Indonesia during the period of the system development. The system employed a single set of threshold values for all regions despite the possibility of differences in rainfall intensity characteristics for each region. For prediction, the system used rainfall data derived from satellite products and rainfall forecast data with a spatial resolution of 0.25° x 0.25°, which is not adequate for catchment-scale landslide analysis.</p><p> </p><p>We attempt to improve the LEWS by applying a statistical approach based on rainfall intensity and duration for a longer time-series of data set. Instead of determining the thresholds for national scale, we focus on the Special Region of Yogyakarta and surrounding cities in Central Java which are prone to landslides but have high population density. In addition to that, we also perform preliminary exploration of the potential of the output of high-resolution numerical weather prediction in simulating the rainfall inducing the landslides for several historical landslide events. This study is part of a project called BILEWS, a Blueprint for an Indonesian Landslide Early Warning System, which aims to develop threshold for landslides and debris flows as the basis for early warning to be applied at several test sites in Java, using tailored rainfall data, combined with empirical and physically-based hydrological and landslide models, as well as historical landslide data.</p>

scholarly journals An integrated methodology to develop a standard for landslide early warning system

2016 ◽  
Author(s):  
Teuku Faisal Fathani ◽  
Dwikorita Karnawati ◽  
Wahyu Wilopo
Keyword(s):  
Early Warning ◽  
Disaster Preparedness ◽  
Early Warning System ◽  
Local Community ◽  
Warning System ◽  
Disaster Mitigation ◽  
Guidance System ◽  
Central Java ◽  
Response Team ◽  
Landslide Early Warning

Abstract. Landslides are one of the commonly occurring natural disasters with worldwide susceptibility. Some distinct features of these disasters are that the affected area has a high density of population, low accessibility and the locals have low level of knowledge about disaster mitigation. Considering these conditions, it is necessary to establish a standard for an early warning system specific to landslide disaster risk reduction. This standard is expected to be the guidance system in conducting detection, prediction, interpretation, and response in landslide disasters. This new standard introduces the seven sub-systems for landslide early warning, starting with risk assessment and mapping, dissemination and communication, establishment of disaster preparedness and response team, development of evacuation map, standardized operating procedures, installation of monitoring and warning services, and building a local commitment to the operation and maintenance of the entire program. Since 2012, Indonesia has implemented a trial for the seven sub-systems in 20 landslide-prone provinces throughout the country. An example of the application of the proposed methodology in a local community in Central Java, Indonesia is also described.

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.

scholarly journals An acoustic emission landslide early warning system for communities in low-income and middle-income countries

Landslides ◽  
2018 ◽  
Vol 15 (8) ◽  
pp. 1631-1644 ◽  
Author(s):  
N. Dixon ◽  
A. Smith ◽  
J. A. Flint ◽  
R. Khanna ◽  
B. Clark ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Low Income ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Middle Income ◽  
Middle Income Countries ◽  
Landslide Early Warning

scholarly journals A STUDY OF THE COMBINATION OF RISK ANALYSIS WITH A CITYWIDE LANDSLIDE EARLY WARNING SYSTEM

2018 ◽  
Author(s):  
JOON-YOUNG PARK ◽  
SEUNG-RAE LEE ◽  
DEUK-HWAN LEE ◽  
GOU-MOON CHOI
Keyword(s):  
Risk Analysis ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Landslide Early Warning

scholarly journals The Barriers to Landslide Responses over the Mt. Elgon in Bududa District, Uganda

2019 ◽  
Author(s):  
Marrion Namono ◽  
Isaac Mugume ◽  
Radu Negru ◽  
Godfrey Mujuni ◽  
Tao Sulin ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Communication Channel ◽  
Warning System ◽  
Focus Group Discussions ◽  
Group Discussions ◽  
Efficient Communication ◽  
Landslide Early Warning ◽  
Mount Elgon ◽  
Steep Slopes

Landslides are natural disasters that normally cause misery over the Mount Elgon region, especially in Bududa district. A landslide early warning system was developed in collaboration with the community and this study investigated it’s effectiveness in disseminating warnings to the community. The data were collected from 82 respondents (mean age 43) and 4 focus group discussions (one per village). Majority of the respondents lost crops (35.9%); land (29.8%); lives and livestock (6.9%). The frequent occurrence of landslides is due to the changes in landuse patterns; settlement on steep slopes; and prolonged rainfall of low intensities. The study found that, 93.2% of respondents have ever received the warnings and alerts. 78.8% of those who received the warnings evacuated. The use of radios to disseminate warnings is the most efficient communication channel (44.4%) followed by using the clan members (19.5%). Only 40% of the women received the early warning through radios, an indicator that this channel puts women at a disadvantage. The main challenges regarding utilization of early warning system were: poor timing (29.9%); poor coordination (20.7%); and poor sensitization (18.4%). There is need to strengthen the community networks, and with continuous sensitization, the effectiveness of the landslides early warning will improve and this is expected to enhance the resilience of the community to landslides.

scholarly journals Definition of 3D rainfall thresholds to increase operative landslide early warning system performances

Landslides ◽  
2020 ◽  
Author(s):  
Ascanio Rosi ◽  
Samuele Segoni ◽  
Vanessa Canavesi ◽  
Antonio Monni ◽  
Angela Gallucci ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Rainfall Thresholds ◽  
Landslide Early Warning ◽  
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