scholarly journals Eruption Characteristic of the Sleeping Volcano, Sinabung, North Sumatera, Indonesia, and SMS Gateway for Disaster Early Warning System

2018 ◽  
Vol 50 (1) ◽  
pp. 70
Author(s):  
Sari Bahagiarti Kusumayudha ◽  
Puji Lestari ◽  
Eko Teguh Paripurno
Keyword(s):  
Sea Level ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Environmental Communication ◽  
Great Earthquake ◽  
Surrounding Area ◽  
People Participation ◽  
Long Time ◽  
North Latitude

Sinabung, the sleeping volcano since the year 1600 awakened and erupted in 2010, 2013, and 2015. The volcano is located in Karo District, North Sumatera Province, Indonesia, geographically on 3o10’ North Latitude, and 98o23, East Longitude. It is about 2460 m high above sea level, and the highest volcano of Sumatera. Sinabung has been estimated about 400 years long inactive, therefore categorized as B type of volcano. It was astonishing; Sinabung erupted on 27 August 2010, again on November 2013, and in May to June 2015. Awakening of the volcano hypothetically has been triggered by last decade earthquakes happened in North Sumatera and surrounding area, including the great earthquake and tsunami of Aceh, December 2004 that caused about 115,000 people died. Because of the volcano has been slept for a long time, people live in the surrounding area were not prepared yet to facing the eruption. In order to reduce the risk such a countermeasure should be developed especially that directly involving local people participation. In this case such an environmental communication system is needed to be developed, it is SMS gate way for disaster early warning system.

scholarly journals GPS-controlled tide gauges in Indonesia – a German contribution to Indonesia's Tsunami Early Warning System

2011 ◽  
Vol 11 (3) ◽  
pp. 731-740 ◽  
Author(s):  
T. Schöne ◽  
J. Illigner ◽  
P. Manurung ◽  
C. Subarya ◽  
C. Zech ◽  
...  
Keyword(s):  
Sea Level ◽  
Early Warning ◽  
Early Warning System ◽  
Tide Gauge ◽  
Warning System ◽  
Research Centre ◽  
Tide Gauges ◽  
Sea Level Changes ◽  
Tsunami Early Warning ◽  
Gauge Systems

Abstract. Coastal tide gauges do not only play a central role in the study of climate-related sea level changes but also in tsunami warning systems. Over the past five years, ten GPS-controlled tide gauge systems have been installed by the German Research Centre for Geosciences (GFZ) in Indonesia to assist the development of the Indonesian Tsunami Early Warning System (InaTEWS). These stations are mainly installed at the Indonesian coastline facing the Indian Ocean. The tide gauge systems deliver information about the instantaneous sea level, vertical control information through GPS, and meteorological observations. A tidal analysis at the station's computer allows the detection of rapid changes in the local sea level ("sea level events"/SLE), thus indicating, for example, the arrival time of tsunamis. The technical implementation, communication issues, the operation and the sea level event detection algorithm, and some results from recent earthquakes and tsunamis are described in this paper.

scholarly journals Accelerating information of tsunami disaster using early warning system (EWS) Devices: smart solution for communication, navigation and surveillance due to tidal sea level

2021 ◽  
Vol 331 ◽  
pp. 07008
Author(s):  
Nurhadi Santosa ◽  
Nadjadji Anwar ◽  
Bangun Muljo Sukojo ◽  
Wesam Al Madhoun
Keyword(s):  
Sea Level ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
The Public ◽  
New Device ◽  
Tsunami Disaster ◽  
Tsunami Risk ◽  
The Government ◽  
Community Sector

Oneof the important aspects in reducing Tsunami Risk is understanding Natural Hazards. The loss of INA TEWS equipment worth hundreds of billions of rupiah and the occurrence of the Tsunami in Aceh and other parts of Indonesia are warnings that our society needs the help of effective early warning tools at affordable prices. Using this device will make it easier for the community to monitor natural events from the field and reduce disaster risk. Currently the government has purchased hundreds of units of JRC-UNESCO products, namely IDSL (Inexpensive Device for Sea Level), but this device takes 21 minutes of information to reach the community. Therefore, a new device that has been prepared is needed. (FIDELA EARLY WARNING SYSTEM/FEWS) is a tool that involves the Equipment sector, Operations sector and Community sector. The results shows that this device is that the time for sending information to the public is only 5 minutes.

scholarly journals Dynamic overcapacity modelling of early warning system for phosphorus fertilizer industry in China

2020 ◽  
Vol 185 ◽  
pp. 02011
Author(s):  
Li Hao ◽  
Li Binlin ◽  
Qin Jun
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Entropy Method ◽  
Raw Material ◽  
Utilization Rate ◽  
Phosphorus Fertilizer ◽  
Fertilizer Industry ◽  
Future Production ◽  
Long Time

In recent years, due to significant overcapacity in China’s phosphorus fertilizer industry, the pressure of industrial capacity reduction issue has been existing for a long time. The study contributes to establish a dynamic early warning system of overcapacity to provide meaningful insight for optimizing managerial policies of phosphorus fertilizer industry in China. The dynamic early warning system includes a novel and comprehensive evaluation model, and the commonly used entropy method is applied to effectively demonstrate the degree of overcapacity. Then, the GM (1,1) grey model proposed provides future production scenarios. Several useful conclusions can be obtained. First, the overcapacity of phosphorus fertilizer has been existing for a long time and is characterized by periodicity, and more obviously, overcapacity deteriorate significantly in 2011 and 2015. Second, the greater threat would be the excessive growth and low utilization rate of new capacity of production, and the higher volatility of phosphorus fertilizer price but relatively low profit for phosphorus companies. Third, the significant increase of raw material price, labor and transportation cost and financing cost will restrict the development of the overall industry in the future, and we highlight the more comprehensive policies to consider the uncertainties in the overcapacity issue in the long term.

scholarly journals KAJIAN APLIKASI PANTULAN SINYAL GNSS UNTUK PEMANTAUAN KETINGGIAN PERMUKAAN AIR LAUT

2019 ◽  
Vol 16 (2) ◽  
pp. 138
Author(s):  
Buldan Muslim ◽  
Charisma Juni Kumalasari ◽  
Novie Chiuman ◽  
Muhammad Ichsan Fadhil Arafah
Keyword(s):  
Data Analysis ◽  
Sea Level ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Reference Station ◽  
Ocean Current ◽  
Analysis Method ◽  
Tsunami Early Warning ◽  
Data Analysis Method

Design and experiment of ocean current power generation system have been carried out using the Bach In Indonesia, the tsunami early warning system only applies the earthquake and hydrosphere relationship model to predict tsunamis. To date, no tsunami detector has used radar or GNSS technology. GNSS technology can be applied as an early warning system for tsunamis, provided that tsunamis are caused by earthquakes greater than 7 magnitudes, occur 70 kilometers below sea level, and are caused by normal faults. This could be an alternative to Bouy GNSS which is expensive to install and maintain, especially for countries with vast oceans such as Indonesia. In this paper, a review of the application of GNSS signal reflection was carried out using one International GNSS Service (IGS) station, JOG2, and one Continuously Operating Reference Station (CORS), CLSA, each located in Java and Sumatra to investigate the availability of sea level monitoring in Indonesia. Determination of sea level is obtained from two methods, the GNSS signal phase data analysis method and the GNSS Signal-to-Noise Ratio (SNR) data analysis method. Both methods use reflected GNSS signals or multipath effects to obtain sea level. The results of the study show that the number of satellites that pass through Indonesia every 15 minutes is enough to get sea-level data  every 15 minutes to one hour. This shows that it is possible to apply the multipath effect to obtain sea level information in Indonesia to detect tides and tsunamis as part of the tsunami early warning system in Indonesia.

scholarly journals The level participation in efforts mount Kelud eruption disaster mitigation in East Java

2019 ◽  
Vol 6 (1) ◽  
pp. 100-106
Author(s):  
Andri Estining Sejati ◽  
Muhammad Hasan ◽  
Desi Nurul Hidayati
Keyword(s):  
Early Warning ◽  
Disaster Preparedness ◽  
Early Warning System ◽  
Research Result ◽  
Quantitative Description ◽  
Warning System ◽  
Disaster Mitigation ◽  
Disaster Area ◽  
Disturbed Zone ◽  
People Participation

Indonesia location is between four plates, there are: Eurasian, Indo-Australian, Philiphines, dan Pasicic. Subduction between plates make Indonesia disturbed a natural incident such as mountain eruption. One of disturbed mountain eruption disaster area is District Ngancar, Kediri Regency. This case because Ngancar location near Kelud slope. People participation for efforts mitigations is very important for reduced natural incident impact. The aim this paper to discuss form and level people participation in District Ngancar for efforts Kelud mountain eruption disaster mitigation. This research is survey with sample 100 from 5.340 head family. The data collected with interview and documentation, then analized by quantitative description with scoring and percentage. The research result showing that people in disaster disturbed zone I, II, and III get participation score each the amount of 1.425, 935, and 1.133. The participation action, include: elucidation disaster, organizing disaster preparedness, preparing self, making early warning system, and saving property.

scholarly journals Performance of the Adriatic early warning system during the multi-meteotsunami event of 11–19 May 2020: an assessment using energy banners

2021 ◽  
Vol 21 (8) ◽  
pp. 2427-2446
Author(s):  
Iva Tojčić ◽  
Cléa Denamiel ◽  
Ivica Vilibić
Keyword(s):  
Sea Level ◽  
Early Warning ◽  
Surrogate Model ◽  
Early Warning System ◽  
Warning System ◽  
Atmospheric Model ◽  
Air Pressure ◽  
False Alarms ◽  
Deterministic Models ◽  
And Sea Level

Abstract. This study quantifies the performance of the Croatian meteotsunami early warning system (CMeEWS) composed of a network of air pressure and sea level observations, a high-resolution atmosphere–ocean modelling suite, and a stochastic surrogate model. The CMeEWS, which is not operational due to a lack of numerical resources, is used retroactively to reproduce the multiple events observed in the eastern Adriatic between 11 and 19 May 2020. The performances of the CMeEWS deterministic models are then assessed with an innovative method using energy banners based on temporal and spatial spectral analysis of the high-pass-filtered air pressure and sea level fields. It is found that deterministic simulations largely fail to forecast these extreme events at endangered locations along the Croatian coast, mostly due to a systematic northwestward shift of the atmospheric disturbances. Additionally, the use of combined ocean and atmospheric model results, instead of atmospheric model results only, is not found to improve the selection of the transects used to extract the atmospheric parameters feeding the stochastic meteotsunami surrogate model. Finally, in operational mode, the stochastic surrogate model would have triggered the warnings for most of the observed events but also set off some false alarms. Due to the uncertainties associated with operational modelling of meteotsunamigenic disturbances, the stochastic approach has thus proven to overcome the failures of the deterministic forecasts and should be further developed.

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