System Construction Improvement of the Ability of Marine Disaster Prevention

2014 ◽  
Vol 522-524 ◽  
pp. 501-504 ◽  
Author(s):  
Yang Luo ◽  
Xi Liu ◽  
Ri Sheng Wu ◽  
Yao Jian Wu
Keyword(s):  
Natural Disasters ◽  
Early Warning ◽  
Construction Projects ◽  
Disaster Prevention ◽  
System Construction ◽  
Marine Disaster ◽  
Marine Disasters

As one of countries which is suffering marine disasters, china is confronted with escalating threat to peoples lives and property caused by serious marine natural disasters. This paper propose some suggestions about marine disasters risky zoning, marine disasters risky assessment and troubleshooting of construction projects, marine disasters early warning, in order to contribute some efforts to system construction of marine disaster prevention and mitigation and integrated risky management of marine disasters.

scholarly journals Research on the Risk Assessment of Qingdao Marine Disaster Based on Flooding

2019 ◽  
Vol 11 (2) ◽  
pp. 468
Author(s):  
Qi Liao ◽  
Ge Yu ◽  
Wensheng Jiang ◽  
Chunxia Lu ◽  
Yan Ma ◽  
...  
Keyword(s):  
Natural Disasters ◽  
Risk Index ◽  
Indicator System ◽  
Disaster Risk ◽  
Risk Level ◽  
Large Contribution ◽  
Human Society ◽  
Coastal Zones ◽  
Marine Disaster ◽  
Marine Disasters

The risk of marine disasters based on flooding is one of the most significant natural disasters in coastal zones. It can be said that flooding in coastal zones has typical sea–land characteristics. Yet, relatively little research has been done in this area. Thus, by using the characteristics of marine disaster risk based on flooding in Qingdao and combining marine science and land science methods, this paper constructs a targeted indicator system for the flooding risk from marine disasters from the perspectives of the disaster natural chain and flooding process. According to the results, the Integrated Risk Index of marine disasters based on flooding in Qingdao is 0.3694, which represents a medium risk level for natural disasters in China’s major coastal areas. The first- and third-level indicators with large contribution rates are almost all natural indicators. This indicates that the natural disaster process and disaster chain greatly affect the flooding disaster risk in Qingdao. However, although natural factors play large roles in the risk of disaster, preventive methods implemented by humans can still have a positive effect on disaster reduction. Therefore, human society should still proceed with understanding disasters from natural processes, change their passive response to active adaptation, and actively strengthen preventive measures to alleviate the adverse impacts of increasingly serious natural disasters.

JAPANESE GOVERNMENTAL AND INDUSTRIAL MEASURES FOR THE CONTROL OF MARINE OIL SPILLS

1979 ◽  
Vol 1979 (1) ◽  
pp. 261-267
Author(s):  
Chikao Funatani
Keyword(s):  
Oil Spill ◽  
Oil Spills ◽  
Disaster Prevention ◽  
Legal Structure ◽  
Marine Disaster ◽  
Marine Oil Spills ◽  
Marine Disasters ◽  
Prevention Center ◽  
Spill Control

ABSTRACT Development of an effective oil spill control system in Japan was spurred by two marine disasters in 1974 which brought about an organizational and physical reinforcement of the nation's capability to respond to oil spills. This paper describes today's legal structure for oil spill control, the organizational concepts used at various levels to provide joint efforts by government agencies and industry, the role of the Marine Disaster Prevention Center which serves as the nucleus of the necessary control operations, and research and development highlights of ongoing Japanese efforts to prevent, control, and clean up oil spills.

Construction Delay Analysis and early Warning Model Based on Design Structure Matrix

2013 ◽  
Vol 357-360 ◽  
pp. 2199-2206
Author(s):  
De Yin Liu ◽  
Jian Guo Chen
Keyword(s):  
Early Warning ◽  
Construction Projects ◽  
Design Structure Matrix ◽  
Delay Analysis ◽  
Model Case ◽  
Structure Matrix ◽  
Early Warning Model ◽  
Design Structure ◽  
Proposed Model ◽  
Warning Model

Schedule delays frequently occur in construction projects and bring unexpected consequence. Conducting an elaborate delay analysis and providing early warning are crucial for project performance. In this paper, factors are classified into internal risks and external risks based on the chain effect of schedule delays, and the design structure matrix (DSM) is employed to develop the delay analysis and early warning model. Case study has been performed to prove the effectiveness of the proposed model, finally, sensitivity analysis also draws conclusion the internal risks between tasks should be paid more attention than the external in environment.

scholarly journals Social Risk Early Warning of Environmental Damage of Large-Scale Construction Projects in China Based on Network Governance and LSTM Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Junmin Fang ◽  
Dechun Huang ◽  
Jingrong Xu
Keyword(s):  
Early Warning ◽  
Construction Projects ◽  
Large Scale ◽  
Short Term Memory ◽  
Network Governance ◽  
Scale Construction ◽  
Environmental Damage ◽  
Social Risk ◽  
Short Term ◽  
Long Short Term Memory

With the improvement of citizens’ risk perception ability and environmental protection awareness, social conflicts caused by environmental problems in large-scale construction projects are becoming more and more frequent. Traditional social risk prevention management has some defects in obtaining risk data, such as limited coverage, poor availability, and insufficient timeliness, which makes it impossible to realize effective early warning of social risks in the era of big data. This paper focuses on the three environments of diversification of stakeholders, risk media, and big data era. The evolution characteristics of the social risk of environmental damage of large-scale construction projects are analyzed from the four stages of incubation, outbreak, mitigation, and regression in essence. On this basis, a social risk early warning model is constructed， and the multicenter network governance mode of social risk of environmental damage in large-scale construction projects and practical social risk prevention strategies in different stages are put forward. Experiments show that the long short-term memory neural network model is effective and feasible for predicting the social risk trend of environmental damage of large-scale construction projects. Compared with other classical models, the long short-term memory model has the advantages of strong processing capability and high early warning accuracy for time-sensitive data and will have broad application prospects in the field of risk control research. By using the network governance framework and long short-term memory model, this paper studies the environmental mass events of large-scale construction projects on the risk early warning method, providing reference for the government to effectively prevent and control social risk of environmental damage of large-scale construction project in China.

Dynamic modeling of an early warning system for natural disasters

2019 ◽  
Vol 37 (2) ◽  
pp. 292-314
Author(s):  
Glayse Ferreira Perroni da Silva ◽  
Ana Lúcia Pegetti ◽  
Maria Teresa Piacesi ◽  
Mischel Carmen Neyra Belderrain ◽  
Níssia Carvalho Rosa Bergiante
Keyword(s):  
Natural Disasters ◽  
Dynamic Modeling ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System

Science Communication of Hazards with Scientific Uncertainty: In the Cases of Volcanic Activity

2016 ◽  
Vol 11 (4) ◽  
pp. 707-719 ◽  
Author(s):  
Miwa Kuri ◽  
◽  
Keyword(s):  
Natural Disasters ◽  
Volcanic Activity ◽  
News Media ◽  
Science Communication ◽  
Scientific Communication ◽  
Scientific Uncertainty ◽  
Disaster Prevention ◽  
Cooperative System ◽  
Local Residents ◽  
Activity Information

This paper studies cases in Japan, focusing on information on volcanic activities as well as other natural disasters. This information is given as an example of scientific communication in times of scientific uncertainty when there is an urgent need for judgments. This paper also considers the usage of volcanic activity information by residents of Kuchinoerabu Island in 2015, from the time their volcano became active to when the island was fully evacuated. The results suggest that it is important not only to establish relationships with highly interested local residents as non-experts, residents who can communicate information, including uncertainties, but also to communicate information among experts, government bodies, and designated members the news media. It is also suggested that a cooperative system of geoparks that feature disasters and benefits would help the volcanic disaster prevention council.

Status and Analysis on Cognition and Handling Ability of Natural Disasters in Nursing Undergraduates

2012 ◽  
Vol 610-613 ◽  
pp. 704-707
Author(s):  
Min Xu ◽  
Hong Xin ◽  
Chunshan Zhao ◽  
Na Zeng
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Undergraduate Students ◽  
Colleges And Universities ◽  
The Self ◽  
Disaster Prevention ◽  
The Future

Nursing undergraduate students are a reserve force for the rescue of natural disaster. Their abilities in self-cognition and response are supposed to be closely related to the development and perfection of them in moral and personality, and their attitude and quality when they are engaged in nursing work in the future. The questionnaire investigation demonstrated that the nursing undergraduate students understood the natural disaster cognition to some extent, but their understanding was limited and one-sided; the students’ abilities in the disaster cognition were influenced by sex, the cognition on nursing specialized responsibility, the self-role cognition and the deed to disaster reserve knowledge (P < 0. 05), indicating that they did not have a full ability to deal with a disaster independently. Therefore, nursing undergraduate students should be educated through various pathways and in different forms in colleges and universities to improve their cognition on the disaster prevention and handling ability.

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