scholarly journals RISIKO KAWASAN LONGSOR DALAM UPAYA MITIGASI BENCANA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS

Pondasi ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 67
Author(s):  
Fakhryza Nabila Hamida ◽  
Hasti Widyasamratri
Keyword(s):  
Land Use ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Risk Mapping ◽  
Disaster Mitigation ◽  
Accurate Information ◽  
Loss Of Life ◽  
Landslide Disaster

ABSTRACTIndonesia is an area prone to landslides. The occurrence of this landslide disaster can cause a large impact such as damage and loss both material and non-material. The availability of complete and accurate information in controlling land use in landslide prone areas in the development of an area becomes very important in minimizing the loss of life and losses, both physical, social and economic. This information must be disseminated to the community as an early warning system in disaster mitigation efforts. Identification of the characteristics of landslide prone areas requires a risk mapping of landslide prone areas in efforts to mitigate disasters can be done using Geographic Information Systems (GIS). The results in this study indicate the need to identify disaster risk in detail because basically, an area threatened by disaster does not necessarily mean that each community has the same level of disaster risk. Mapping can be done by clustering or by identifying each building in a vulnerable area based on the level of risk of landslides. Keywords: risk analysis, landslides, disaster mitigation, GIS ABSTRAKIndonesia merupakan wilayah yang rawan terhadap bencana longsor. Terjadinya bencana longsor ini dapat menyebabkan dampak yang besar seperti kerusakan dan kerugian baik materiil maupun non materiil. Tersedianya informasi yang lengkap dan akurat dalam pengendalian pemanfaatan lahan di kawasan rawan bencana longsor dalam pengembangan suatu wilayah menjadi hal yang sangat penting dalam meminimalisir adanya korban jiwa dan kerugian-kerugian baik fisik, sosial maupun ekonomi. Informasi tersebut harus disebarkan kepada masyarakat sebagai sistem peringatan dini dalam upaya mitigasi bencana. Identifikasi karakteristik daerah rawan longsor diperlukan sebuah pemetaan risiko kawasan rawan longsor dalam upaya mitigasi bencana dapat dilakukan menggunakan Sistem Informasi Geografis (SIG). Hasil dalam penelitian ini menunjukkan perlunya identifikasi risiko bencana secara detail karena pada dasarnya, suatu kawasan yang terancam bencana belum tentu tiap masyarakatnya mempunyai tingkat risiko bencana yang sama. Pemetaan dapat dilakukan dengan pengklusteran maupun dengan identifikasi setiap bangunan dalam kawasan rawan berdasarkan tingkat risiko terhadap bencana tanah longsor.Kata Kunci: analisis risiko, tanah longsor, mitigasi bencana, GIS

scholarly journals Design and Implementation of Real-Time Flood Early Warning System (FEWS) Based on IoT Blynk Application

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Hasbi Nur Prasetyo Wisudawan
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Average Temperature ◽  
Flood Warning ◽  
Flood Warning System

Disaster occurrence in Indonesia needs attention and role from all parties including the community to reduce the risks.  Disaster mitigation is one of the ways to reduce the disaster risk through awareness, capacity building, and the development of physical facilities, for example by applying disaster mitigation technology (early warning system, EWS). EWS is one of the effective methods to minimize losses due to disasters by providing warning based on certain parameters for disasters which usually occur such as floods. This research promotes a real-time IoT-based EWS flood warning system (Flood Early Warning System, FEWS) using Arduino and Blynk as well as Global System for Mobile Communication network (GSM) as the communication medium. The steps for implementing FEWS system in real locations are also discussed in this paper. Parameters such as water level, temperature, and humidity as well as rain conditions that are read by the EWS sensor can be accessed in real-time by using android based Blynk application that has been created. The result of the measurement of average temperature, humidity, and water level were 28.6 oC, 63.7 %, and 54.5 cm. Based on this analysis, the parameters indicated that the water level is in normal condition and there are no signs indicating that there will be flooding in the 30 days observation.  Based on the data collected by the sensor, FEWS can report four conditions, namely Normal, Waspada Banjir (Advisory), Siaga Banjir (Watch), and Awas Banjir (Warning) that will be sent immediately to the Blynk FEWS application user that has been created.

scholarly journals KAJIAN POLA PENGGUNAAN LAHAN DAN STRATEGI PENGELOLAAN WILAYAH KEPESISIRAN PURWOREJO

2020 ◽  
Vol 8 (2) ◽  
pp. 99
Author(s):  
Gaby Nanda Kharisma ◽  
Rizky Adriadi Ghiffari ◽  
Surono Surono ◽  
Zulfitrani Busrah ◽  
Zulhan Effendy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Early Warning ◽  
Coastal Area ◽  
Early Warning System ◽  
Warning System ◽  
Disaster Risk ◽  
Population Pressure ◽  
Land Use Patterns ◽  
Central Java

AbstractPurworejo is a regency on the southern coast of Java has a potential resource but due to the aspect of disaster risk, this regency is also classified in the disaster risk assessment index class starting from the low, middle and high classes. The research objective is to examine the physical characteristics and land use patterns of coastal areas in Purworejo Regency, Central Java to then determine the coastal area strategy in the area. The location of the study is Munggangsari Beach, Grabag District, Purworejo Regency, Central Java Province. The methods used in this study include literature studies, remote sensing, field surveys (observation and measurement), and interviews. From the results of data and image analysis, there was an increase in livestock and pond fisheries activities in the Purworejo Coastal area from 2006 to 2014. The existence of these activities has the potential to harm the surrounding environment, one of which is groundwater quality. Whereas land use in the form of vacant and physical land generally decreases in area. This shows that from 2006 - 2016 there was high population pressure. Policy, technical capacity (early warning system procurement) is needed for the institution and strong emergency response mechanism in its application.Keywords: Purworejo, Coastal Region, Disaster risk, Remote Sensing, Early Warning System AbstrakPurworejo sebagai kabupaten yang berada di wilayah kepesisiran selatan Pulau Jawa memiliki potensi sumberdaya tetapi bila ditinjau dari aspek risiko bencana kabupaten ini juga terkasifikasi pada kelas indeks kajian risiko bencana mulai dari kelas rendah, menengah, dan tinggi. Tujuan penelitian untuk mengkaji karakteristik fisik dan pola penggunaan lahan wilayah kepesisiran Kabupaten Purworejo, Jawa Tengah untuk kemudian menentukan strategi wilayah kepesisiran pada daerah tersebut. Lokasi kajian yakni Pantai Munggangsari, Kecamatan Grabag, Kabupaten Purworejo, Provinsi Jawa Tengah. Metode yang digunakan dalam penelitian ini meliputi studi literatur, penginderaan jauh, survei lapangan (pengamatan dan pengukuran langsung), dan wawancara. Dari hasil analisis data dan citra terjadi peningkatan aktivitas peternakan dan perikanan tambak di wilayah Pesisir Purworejo dari tahun 2006 hingga 2014. Adanya aktivitas kegiatan tersebut berpotensi memberikan dampak negatif terhadap lingkungan sekitar salah satunya terhadap kualitas airtanah. Sedangkan untuk penggunaan lahan berupa tanah kosong dan gisik pada umumnya terjadi penurunan luasan. Hal tersebut menunjukkan dari tahun 2006 – 2016 terjadi tekanan penduduk yang tinggi. Dibutuhkan kebijakan, kapasitas teknis (pengadaan sistem peringatan dini) pada lembaga serta mekanisme penanganan darurat bencana yang kuat dalam pengaplikasiannya.Kata Kunci: Purworejo, Wilayah Kepesisiran, Risiko bencana, Penginderaan Jauh, EWS

scholarly journals Feasibility study of earthquake early warning in Tehran, Iran

2021 ◽  
Author(s):  
S. Enferadi ◽  
Z. H. Shomali ◽  
A. Niksejel
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Earthquake Early Warning ◽  
Disaster Mitigation ◽  
Lead Times ◽  
Worst Case ◽  
Earthquake Parameters ◽  
Earthquake Early Warning System ◽  
Earthquake Scenarios

AbstractIn this study, we examine the scientific feasibility of an Earthquake Early Warning System in Tehran, Iran, by the integration of the Tehran Disaster Mitigation and Management Organization (TDMMO) accelerometric network and the PRobabilistic and Evolutionary early warning SysTem (PRESTo). To evaluate the performance of the TDMMO-PRESTo system in providing the reliable estimations of earthquake parameters and the available lead-times for The Metropolis of Tehran, two different approaches were analyzed in this work. The first approach was assessed by applying the PRESTo algorithms on waveforms from 11 moderate instrumental earthquakes that occurred in the vicinity of Tehran during the period 2009–2020. Moreover, we conducted a simulation analysis using synthetic waveforms of 10 large historical earthquakes that occurred in the vicinity of Tehran. We demonstrated that the six worst-case earthquake scenarios can be considered for The Metropolis of Tehran, which are mostly related to the historical and instrumental events that occurred in the southern, eastern, and western parts of Tehran. Our results indicate that the TDMMO-PRESTo system could provide reliable and sufficient lead-times of about 1 to 15s and maximum lead-times of about 20s for civil protection purposes in The Metropolis of Tehran.

scholarly journals Early warning system on extreme weather events for disaster risk reduction

2019 ◽  
pp. 80-87
Author(s):  
Jacipt Alexander Ramón-Valencia ◽  
Jordi Rafael Palacios-González ◽  
Germán Rircardo Santos-Granados ◽  
Jarol Derley Ramón-Valencia
Keyword(s):  
Risk Management ◽  
Risk Reduction ◽  
Early Warning ◽  
Early Warning System ◽  
Disaster Risk Reduction ◽  
Warning System ◽  
Disaster Risk ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Weather Events

The objective of this research was to propose a strategy based on the design and implementation of an early warning system (EWS) for extreme weather events. This project had the following phases: training for municipal and regional actors, preliminary technical diagnosis of the study areas, monitoring network, and the weather forecasts using numerical models WRF and GFS. This EWS is the result of the Macro-project EWS for Climate Events in the basins of the Pamplonita River and Zulia in the North of Santander (SATC), executed by the University of Pamplona and financed by the National Risk Management Unit (UNGRD) and the German Cooperation Agency (GIZ). The research concluded that the application of a disaster risk reduction strategy through an EWS for extreme weather events is an important tool and instrument for the planning of higher risk management because it helps anticipate disasters and consequently preserve lives.

scholarly journals iCRESTRIGRS: A coupled modeling system for cascading flood-landslide disaster forecasting

2016 ◽  
Author(s):  
Ke Zhang ◽  
Xianwu Xue ◽  
Yang Hong ◽  
Jonathan J. Gourley ◽  
Ning Lu ◽  
...  
Keyword(s):  
Slope Stability ◽  
Early Warning ◽  
Early Warning System ◽  
Flash Flood ◽  
Significant Risk ◽  
Warning System ◽  
Prototype System ◽  
Coupled Modeling ◽  
Hazard Management ◽  
Landslide Disaster

Abstract. Severe storm-triggered floods and landslides are two major natural hazards in the U.S., causing property losses of $6 billion and approximately 110–160 fatalities per year nationwide. Moreover, floods and landslides often occur in a cascading manner, posing significant risk and leading to losses that are significantly greater than the sum of the losses from the individual hazards. It is pertinent to couple hydrological and geotechnical modelling processes toward an integrated flood-landslide cascading disaster early warning system for improved disaster preparedness and hazard management. In this study, we developed the iCRESTRIGRS model, a coupled flash flood and landslide disaster early warning system, by integrating the Coupled Routing and Excess STorage (CREST) model with the physically based Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) landslide model. The iCRESTRIGRS system is evaluated in four river basins in western North Carolina that experienced a large number of floods, landslides and debris flows, triggered by heavy rainfall from Hurricane Ivan during September 16–18, 2004. The modelled hourly hydrographs at four USGS gauge stations show generally good agreement with the observations during the entire storm period. In terms of landslide prediction in this case study, the coupled model has a global accuracy of 89.5 % and a true positive rate of 50.6 %. More importantly, it shows an improved predictive capability for landslides relative to the stand-alone TRIGRS model. This study highlights the important physical connection between rainfall, hydrological processes and slope stability, and provides a useful prototype system for operational forecasting of flood and landslide.

Special Issue on Early Warning for Natural Disaster Mitigation

2009 ◽  
Vol 4 (4) ◽  
pp. 529-529
Author(s):  
Masato Motosaka
Keyword(s):  
Research And Development ◽  
Natural Disaster ◽  
Earthquake Engineering ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Academic Community ◽  
Disaster Mitigation ◽  
Observation Data ◽  
Special Issue

Japan and many other counties face the risk of the natural disaster such as earthquakes, tsunamis, and floods. Natural disaster mitigation research and development are providing important, practical applications based on the development of the scientific technology. One major contribution is early warning system, being backed by observation and communication technology progress. Early warning research and development have been extensively studied domestically and internationally. Specifically, recent developments in earthquake engineering research and construction of seismic dense network have made it possible to issue earthquake warnings before the arrival of severe shaking. Such warnings enable emergency measures to be taken to protect lives, buildings, infrastructure, and transport from earthquake depredations. One such system went into practical use nationwide in Japan starting on October 1, 2007. Development has been conducted with cooperation of government, academic community and non-government, and private organizations. This special issue features papers on the early warning system for the natural disastermitigation covering issues ranging from natural science to social science. The recent developed earthquake early warning technology and its applications will be introduced. Besides earthquakes, the recent early warning technology for tsunami and flood are also included in this issue. The warning time available for tsunami and flood is much longer than that for earthquakes, and the contribution of numerical calculation using the real-time observation data differs with the type of disaster. Finally I would like to express my deepest gratitude for anonymous reviewers of papers in this special issue.

Application of Beidou Satellite Communication Technology in the Landslide Remote Monitoring and Early Warning System

2014 ◽  
Vol 945-949 ◽  
pp. 2150-2154
Author(s):  
Guang Lin Sun ◽  
Zhi Gang Tao ◽  
Bin Zhang ◽  
Ding Gui Hou ◽  
Hai Peng Li
Keyword(s):  
Communication Technology ◽  
Early Warning ◽  
Remote Monitoring ◽  
Early Warning System ◽  
Satellite Communication ◽  
Signal Transmission ◽  
Warning System ◽  
Blind Area ◽  
Monitoring And Early Warning ◽  
Landslide Disaster

Real-time monitoring and early warning of landslide disaster can be performed by landslide remote monitoring and early warning system, and by use this system landslide disaster losses can also be reduced effectively. In order to improve the monitoring signal transmission, such as the un-interruption and anti-disturbance, Beidou satellite communication technology has been applied to overcome the shortcomings of poor communication network signal and the existence of blind area. The research result shows that the Beidou satellite communication technology can effectively ensure the continuity of signal transmission and eliminating the communication network’s blind area. Hence, Beidou satellite communication technology is an advisable measure to ensure the normal work of landslide remote monitoring and early warning system.

Tropical Forests: The Main Deforestation Fronts

1993 ◽  
Vol 20 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Norman Myers
Keyword(s):  
Land Use ◽  
Tropical Forests ◽  
Early Warning ◽  
Early Warning System ◽  
Forest Cover ◽  
Preventive Measures ◽  
Warning System ◽  
Initial Assessment ◽  
Silver Bullet

Tropical moist forests are being depleted at an ecobiome-wide rate of c. 2% per year. Certain countries are losing very little forest, while others are losing it at a rate of twice the average, and a few at a rate several times higher. An initial assessment of 14 ‘deforestation fronts’ — being areas that feature the most intensive, widespread, and rapid, deforestation — reveals that they currently feature 43% of all deforestation in 25% of tropical moist forests' expanse.There is urgent need for additional documentation of these deforestation fronts, and to monitor their evolving status — especially of those that look likely to lose forest cover at ever-more rapid rates. Even more important, the analysis allows us to derive criteria for major foci of deforestation, thus enabling us to anticipate new fronts while they are still emergent. In turn, this affords opportunity for preventive measures in the form of ‘silver bullet’ strategies on the part of conservationists, forestry experts, land-use planners, and policymakers. An early-warning system would go far towards supplying us with a more substantive and methodical understanding of depletive processes overtaking tropical forests.

Sign in / Sign up

Export Citation Format

Share Document