Utilization of Inferred Landslide Hazard Information as a Web Based Decision Making Tool for Landslide Disaster Risk Reduction and Early Warning

2014 ◽  
pp. 319-329 ◽  
Author(s):  
Kumari M. Weerasinghe
Keyword(s):  
Decision Making ◽  
Risk Reduction ◽  
Early Warning ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Landslide Hazard ◽  
Web Based ◽  
Decision Making Tool ◽  
Landslide Disaster

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.

Implementation of landslide disaster risk reduction policy in Uganda

2017 ◽  
Vol 24 ◽  
pp. 326-331 ◽  
Author(s):  
Sowedi Masaba ◽  
David N. Mungai ◽  
Moses Isabirye ◽  
Haroonah Nsubuga
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Landslide Disaster

Networks of Action in Catastrophic Events: The 11 March 2011 Tohoku-Oki Disasters

2013 ◽  
Vol 29 (1_suppl) ◽  
pp. 387-402 ◽  
Author(s):  
Louise K. Comfort ◽  
Aya Okada ◽  
Gunes Ertan
Keyword(s):  
Decision Making ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Nuclear Reactor ◽  
Organizational Management ◽  
Disaster Risk ◽  
Catastrophic Events ◽  
Natural Systems ◽  
Policy Problem ◽  
Planning Processes

The 11 March 2011 Tohoku-oki, Japan, earthquake, tsunami, and nuclear reactor disasters shattered existing plans for decision making, preparedness, and response operations under conditions of uncertainty and risk. The interaction among these events created dynamics that could not be addressed by any single organization or jurisdiction alone and that had not been considered in the planning processes undertaken by separate jurisdictions and organizations. The scale and scope of devastation overwhelmed those responsible for protecting communities at every level of jurisdictional decision making and organizational management. We examine the policy problem of decision making involving interaction between human and natural systems, and review existing policies, plans, and practices that characterized efforts in disaster risk reduction in Japan prior to 11 March 2011. We contrast these plans with observed practices, focusing on interactions and communication flows among organizations engaged in responding to the disaster. These events demonstrate the compelling need to rethink catastrophe.

scholarly journals Challenges and Technical Advances in Flood Early Warning Systems (FEWSs)

2020 ◽  
Author(s):  
Duminda Perera ◽  
Ousmane Seidou ◽  
Jetal Agnihotri ◽  
Hamid Mehmood ◽  
Mohamed Rasmy
Keyword(s):  
Developing Countries ◽  
Risk Reduction ◽  
Early Warning ◽  
Disaster Risk Reduction ◽  
Information Technologies ◽  
Early Warning Systems ◽  
Disaster Risk ◽  
Disaster Mitigation ◽  
Mitigation Measures ◽  
Warning Systems

Flood early warning systems (FEWSs)—one of the most common flood-impact mitigation measures—are currently in operation globally. The UN Office for Disaster Risk Reduction (UNDRR) strongly advocates for an increase in their availability to reach the targets of the Sendai Framework for Disaster Risk Reduction and Sustainable Development Goals (SDGs). Comprehensive FEWS consists of four components, which includes (1) risk knowledge, (2) monitoring and forecasting, (3) warning, dissemination, and communication, and (4) response capabilities. Operational FEWSs have varying levels of complexity, depending on available data, adopted technology, and know-how. There are apparent differences in sophistication between FEWSs in developed countries that have the financial capabilities, technological infrastructure, and human resources and developing countries where FEWSs tend to be less advanced. Fortunately, recent advances in remote sensing, artificial intelligence (AI), information technologies, and social media are leading to significant changes in the mechanisms of FEWSs and provide the opportunity for all FEWSs to gain additional capability. These technologies are an opportunity for developing countries to overcome the technical limitations that FEWSs have faced so far. This chapter aims to discuss the challenges in FEWSs in brief and exposes technological advances and their benefits in flood forecasting and disaster mitigation.

scholarly journals Multi scale Disaster Risk Reduction Systems Space and Community based Experiences over HKH Region

2014 ◽  
Vol XL-8 ◽  
pp. 1301-1307 ◽  
Author(s):  
D. R. Gurung ◽  
M. Shrestha ◽  
N. Shrestha ◽  
B. Debnath ◽  
G. Jishi ◽  
...  
Keyword(s):  
Information System ◽  
Decision Support ◽  
Risk Reduction ◽  
Forest Fire ◽  
Early Warning ◽  
Disaster Risk Reduction ◽  
Early Warning Systems ◽  
Disaster Risk ◽  
Community Based ◽  
Multi Scale

An increasing trend in the recurrence of natural disasters and associated impacts due to Floods, Glacier Lake out bursts, landslides and forest fire is reported over Hindu Kush Himalyan (HKH) region. Climate change and anthropogenic coupled factors are identified as primary factors for such increased vulnerability. The large degree of poverty, lack of infrastructure, poor accessibility and uncertainties involved in understanding high altitude land surface and climate dynamics poses serious challenges in reducing disaster vulnerability and mitigating disaster impacts. In this context effective development of Disaster Risk Reduction (DRR) protocols and mechanisms have been realized as an urgent need. The paper presents the adoption and experiences of multi scale DRR systems across different Himalayan member countries ranging from community based indigenous early warning to space based emergency response and decision support systems. <br><br> The Establishment of a Regional Flood Information System (HKH-HYCOS) over Ganges-Brahmaputra-Meghna (GBM) and Indus river basins promoted the timely exchange of flood data and information for the reduction of flood vulnerability within and among the participating countries. Satellite based forest fire alert systems evoked significant response among diverse stakeholders to optimize fire incidence and control. Satellite rainfall estimation products, satellite altimetry based flood early warning systems, flood inundation modelling and products, model derived hydrology flow products from different global data-sharing networks constitutes diverse information to support multi scale DRR systems. Community-based Flood Early Warning System (FEWS) enabled by wireless technology established over the Singara and Jiadhal rivers in Assam also stands as one of the promising examples of minimizing flood risk. Disaster database and information system and decision support tools in Nepal serves as potential tool to support diverse stakeholders.

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