scholarly journals FRAMEWORK FOR INDICATOR-BASED OPTIMIZATION OF DISASTER RISK MANAGEMENT IN LOCAL COMMUNITIES

2017 ◽  
pp. 011
Author(s):  
Goran Janaćković ◽  
Suzana Savić ◽  
Miomir Stanković
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Local Level ◽  
Disaster Risk ◽  
Local Communities ◽  
Risk Indicators ◽  
Accident Risk ◽  
Key Indicators

The effects on functioning of the society and consequences of natural disasters and technological accidents require preparedness and rapid response. Disaster management is defined by decisions based on situation description and potential dangers. Risk assessment is performed at various levels, from national to local. This paper presents a framework to optimize natural disaster and technological accident risk management at local level based on application of risk indicators. The method of multi-criteria analysis is applied, and key indicators that best describe the risks at the level of local communities in Serbia were chosen. The results show the importance of raising the resilience of local communities to disasters, primarily in the areas of planning and capacity building. 

scholarly journals Risk Assessment and Hazard Mapping Technique in the Project for Strengthening National Strategy of Integrated Natural Disaster Risk Management

2020 ◽  
Vol 13 (1) ◽  
pp. 35-47
Author(s):  
Jorge PIMENTEL ◽  
Thiago DUTRA ◽  
Rafael Silva RIBEIRO ◽  
Pedro Augusto dos Santos PFALTZGRAFF ◽  
Maria Emília Radomski BRENNY ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Natural Disaster ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Mapping Technique ◽  
Hazard Mapping ◽  
National Strategy ◽  
Natural Disaster Risk

Natural Disaster Risk Management and Sustainable Development Research of Huangshan Scenic Area

2013 ◽  
Vol 709 ◽  
pp. 735-739
Author(s):  
Shan Feng Hu ◽  
Hong Bing Zhu ◽  
Yu Wang
Keyword(s):  
Sustainable Development ◽  
Risk Management ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Emergency Rescue ◽  
Rescue Team ◽  
Investigation Methods ◽  
Natural Disaster Risk

The paper takes Huangshan scenic area as the research object and uses depth interviews and field investigation methods to analyze its natural disaster risk management situation. The research shows that the natural disasters in Huangshan scenic area can be divided into three main types: geological disasters, meteorological and hydrological disasters and forest disasters. Then, the paper summarizes the experience in dealing with natural disasters, including the establishment of Huangshan Scenic Area Disaster Management Center, Scenic lightning monitoring and warning system, and emergency rescue team. Finally, the paper brings up countermeasures for sustainable development of the scenic area from five aspects: enhancing the risk management awareness, using new technology, strengthening stakeholder management and improving the emergency rescue team mechanism.

Natural Disasters and Risk Management

2022 ◽  
pp. 21-41
Author(s):  
Milica Jovanović Vujatović ◽  
Sandra Milanović ◽  
Ivana Janjić
Keyword(s):  
Risk Management ◽  
Natural Disasters ◽  
Crisis Management ◽  
Natural Disaster ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Public Authorities ◽  
Management Procedures ◽  
Natural Disaster Risk ◽  
Negative Factors

In recent years, natural disasters have compelled public authorities, organizations, and citizens to increase their efforts in properly planning and implementing effective risk management procedures. Accordingly, in literature contemporary concepts such as natural disaster risk management and crisis management emerged. Therefore, the chapter aims to shed light on the significance of natural disaster risk management and crisis management in the development of an effective societal system by its transformation and to point out the positive and negative factors influencing these management activities. The authors will firstly give an overview of these two concepts, their elements, and development phases, and afterward, the investigation of possible positive and negative factors of natural disaster risk management will be introduced. The chapter will make a significant contribution to filling the gap in the literature on mitigating the influence of natural disasters and risk management.

scholarly journals Penanggulangan Kesehatan Dalam Kondisi Pasca Bencana Dusun Ujung Indah, Desa Cilellang, Kecamatan Mallusettasi, Kabupaten Barru

2020 ◽  
Vol 1 (1) ◽  
pp. 11-14
Author(s):  
Amran Nur ◽  
Veronica Margareth Dampung
Keyword(s):  
Risk Management ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Forest Fires ◽  
Volcanic Eruptions ◽  
Disaster Risk ◽  
International Strategy ◽  
Health Prevention ◽  
Disaster Reduction ◽  
Catastrophic Event

Abstract: Indonesia has been declared as one of the most disaster-prone countries according to the United Nations International Strategy for Disaster Reduction. Indonesia ranks 6th among countries prone to disasters. Indonesia is prone to natural disasters such as earthquakes, tsunamis, volcanic eruptions, and others as well as non-natural disasters such as floods, infectious diseases, forest fires, and others, as well as social disasters in the form of social conflicts in various regions. One of the concepts of disaster management is disaster risk management, At this stage, efforts should be made if a catastrophic event occurs, damage and losses with a large enough scale of impact can be avoided and minimized by mitigating education to the community. Because the location of this village is on the seashore and has a watershed that could threaten the safety of the population, therefore a health prevention socialization will be carried out if at any time an unwanted natural disaster occurs. Keywords: natural disasters, Barru Districts, disaster risk, countermeasures.

scholarly journals The Point Bonitation Method and Its Adaptation in Risk Studies: A Case Study in Sri Lanka’s Cities in the Coastal Zone

2021 ◽  
Vol 18 (4) ◽  
pp. 2060
Author(s):  
Dorota Rucińska ◽  
Martyna Zagrzejewska
Keyword(s):  
Risk Management ◽  
High Risk ◽  
Sri Lanka ◽  
Natural Disasters ◽  
Economic Geography ◽  
Disaster Risk ◽  
Specific Result ◽  
Weighting Method ◽  
Tsunami Risk

Article proposes using weighting method named the Point Bonitation Method, a popular interdisciplinary method, especially in the tourism and socio-economic geography, for giving optional direction to further researching tsunami risk. This method qualifies and quantifies those factors that lead to natural disasters so that it is possible to make comparisons with their roles in disaster areas. This case study in Sri Lanka shows a specific result that is quantification of vulnerability by regions and can be used and developed locally for disaster risk management and reduction. This paper presents discussion about other possible reasons of high risk in regions.

scholarly journals Building Asset Value Mapping in Support of Flood Risk Assessment: A Case Study of Shanghai, China

2017 ◽  
Author(s):  
Jidong Wu ◽  
Xu Wang ◽  
Elco Koks
Keyword(s):  
Risk Assessment ◽  
Natural Disaster ◽  
Flood Risk ◽  
Statistical Data ◽  
Disaster Risk ◽  
Flood Risk Assessment ◽  
Building Stock ◽  
Floor Area ◽  
Asset Value ◽  
Natural Disaster Risk

Abstract. Exposure is an integral part of any natural disaster risk assessment. As one of the consequences of natural disasters, damage to buildings is one of the most important concerns. As such, estimates of the building stock and the values at risk can assist natural disaster risk management, including determining the damage extent and severity. Unfortunately, only little information about building asset value is readily available in most countries (especially its spatial distributions) including in China, given that the statistical data on building floor area (BFA) is collected by administrative unities in China. In order to bridge the gap between aggregated census statistical buildings floor-area data to geo-coded building asset value data, this article introduces a methodology for a city-scale building asset value mapping using Shanghai as an example. It consists of a census BFA disaggregation (downscaling) by means of a building footprint map extracted from high-resolution remote sensing data and LandScan population density data, and a financial appraisal of building asset values. A validation with statistical data confirms the feasibility of the modelled building storey. The example of the use of the developed building asset value map in exposure assessment of a flood scenario of Shanghai demonstrated that the dataset offers immense analytical flexibility for flood risk assessment. The method used in this paper is transferable to be applied in other cities of China for building asset value mapping.

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