Development of Open Collaboration Framework for Disaster Mitigation

This research was motivated still many natural disasters in Indonesia. Geological disasters would always be an important issue in the Indonesian Nation as a consequence Indonesia's geological conditions unique region, rich in natural resources but full of potential disasters. Disaster handling required the participation of all components of the nation led to the importance of the massive dissemination of disaster information to all levels of society. The role of the community in the society was considered to be very strategic as agents of change. Unfortunately, the competence of members of the community who were still considered weak in disaster mitigation and counseling techniques became constraints the achievement of objectives disaster-conscious society. Increased competence was absolutely necessary and training could be selected as an option to improve competence. Research conducted using the method of research and development which was divided into three main stages. First, the needs analysis as a preliminary study, the second, the development of a model curriculum, and the third trials of the curriculum model to determine the effectiveness in improving the competence fields of geological disaster mitigation. This study was conducted to determine the curriculum development process proper training to improve competence in community-based geological disaster mitigation. The results showed that the model developed training curriculum based on the needs analysis proven effective in improving participants's competence to do counseling disaster mitigation. Pre-post test results showed an increase in the cognitive aspects of participants in Trial I and Trial II. Significant improvement occurred on the competence of counsel which showed a success rate of Trial II in improving the competence of counsel practice of training participants. Factors supporting the development of a model curriculum Extension Disaster Mitigation Training Community-Based Ground Motion were: (a) the competence of lecturers geological disaster mitigation; (B) the interests of members of community volunteers; and (c) the support of policy makers, while the factors that impeded the development of curriculum models were limited clump of competence training in geology, low educational background and knowledge of the geology and ground motion, and limited time.

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THE BASIC STUDY ON TSUNAMI DISASTER MITIGATION MEASURES BASED ON SURVIVAL PROBABILITY

Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering) ◽

10.2208/kaigan.74.i_481 ◽

2018 ◽

Vol 74 (2) ◽

pp. I_481-I_486

Author(s):

Hisamichi NOBUOKA ◽

Hideaki KAMAYA

Keyword(s):

Survival Probability ◽

Disaster Mitigation ◽

Mitigation Measures ◽

Basic Study ◽

Tsunami Disaster

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InSAR Monitoring of Landslide Activity in Dominica

Remote Sensing ◽

10.3390/rs13040815 ◽

2021 ◽

Vol 13 (4) ◽

pp. 815

Author(s):

Mary-Anne Fobert ◽

Vern Singhroy ◽

John G. Spray

Keyword(s):

Risk Mitigation ◽

Disaster Mitigation ◽

Aerial Images ◽

Landslide Inventory ◽

Landslide Risk ◽

Susceptibility Map ◽

Interferometric Synthetic Aperture Radar ◽

Rainfall Events ◽

Susceptibility Maps ◽

Digital Elevation

Dominica is a geologically young, volcanic island in the eastern Caribbean. Due to its rugged terrain, substantial rainfall, and distinct soil characteristics, it is highly vulnerable to landslides. The dominant triggers of these landslides are hurricanes, tropical storms, and heavy prolonged rainfall events. These events frequently lead to loss of life and the need for a growing portion of the island’s annual budget to cover the considerable cost of reconstruction and recovery. For disaster risk mitigation and landslide risk assessment, landslide inventory and susceptibility maps are essential. Landslide inventory maps record existing landslides and include details on their type, location, spatial extent, and time of occurrence. These data are integrated (when possible) with the landslide trigger and pre-failure slope conditions to generate or validate a susceptibility map. The susceptibility map is used to identify the level of potential landslide risk (low, moderate, or high). In Dominica, these maps are produced using optical satellite and aerial images, digital elevation models, and historic landslide inventory data. This study illustrates the benefits of using satellite Interferometric Synthetic Aperture Radar (InSAR) to refine these maps. Our study shows that when using continuous high-resolution InSAR data, active slopes can be identified and monitored. This information can be used to highlight areas most at risk (for use in validating and updating the susceptibility map), and can constrain the time of occurrence of when the landslide was initiated (for use in landslide inventory mapping). Our study shows that InSAR can be used to assist in the investigation of pre-failure slope conditions. For instance, our initial findings suggest there is more land motion prior to failure on clay soils with gentler slopes than on those with steeper slopes. A greater understanding of pre-failure slope conditions will support the generation of a more dependable susceptibility map. Our study also discusses the integration of InSAR deformation-rate maps and time-series analysis with rainfall data in support of the development of rainfall thresholds for different terrains. The information provided by InSAR can enhance inventory and susceptibility mapping, which will better assist with the island’s current disaster mitigation and resiliency efforts.

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Feasibility study of earthquake early warning in Tehran, Iran

Journal of Seismology ◽

10.1007/s10950-021-10014-3 ◽

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.

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