scholarly journals Operational site selection for disaster management bases in Tehran, Iran

MAUSAM ◽  
2021 ◽  
Vol 71 (3) ◽  
pp. 431-442
Author(s):  
ALAVI SAYYED ALI ◽  
MESHKINI ABOLFAZL ◽  
EBRAHIMI MOHAMMAD
Keyword(s):  
Natural Disasters ◽  
Disaster Management ◽  
Human Life ◽  
Main Role ◽  
Gis Analysis ◽  
Analysis Method ◽  
Selection For ◽  
High Level ◽  
Spatial Analysis Method

Natural disasters play a main role in human life. It should be taken into consideration that it is impossible to predict these disasters from happening, but preparation for a good response for these disasters can be a good solution to decrease post-damage casualties in the cities. Herein, Disaster Management Bases in terms of prevention, preparation and dealing with the crisis play a key role, especially in Tehran and in times of natural disasters. There is no doubt that a high level and efficient function of these bases has a striking correlation with the way they are located in both an urban and regional level in a way that in addition to providing security of the bases against disasters, based on the service area they could be able to provide good services for the areas of crisis. This paper tries to use Multi Criteria Decision Making (MCDM) techniques and spatial analysis method in order to assess the effectiveness of these bases. Based on assessments Disaster Management Bases have spontaneously distributed in Tehran and have located in inappropriate places. Thus using MCDM with GIS analysis, the best locations in case study area was proposed.  

scholarly journals SPATIAL-TEMPORAL ANALYSIS OF OPENSTREETMAP DATA AFTER NATURAL DISASTERS: A CASE STUDY OF HAITI UNDER HURRICANE MATTHEW

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1401-1406
Author(s):  
J. Xu ◽  
L. Li ◽  
Q. Zhou
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Management ◽  
Essential Role ◽  
Temporal Analysis ◽  
Geographic Information ◽  
Crisis Mapping ◽  
High Level ◽  
Spatial Temporal Analysis

Volunteered geographic information (VGI) has been widely adopted as an alternative for authoritative geographic information in disaster management considering its up-to-date data. OpenStreetMap, in particular, is now aiming at crisis mapping for humanitarian purpose. This paper illustrated that natural disaster played an essential role in updating OpenStreetMap data after Haiti was hit by Hurricane Matthew in October, 2016. Spatial-temporal analysis of updated OSM data was conducted in this paper. Correlation of features was also studied to figure out whether updates of data were coincidence or the results of the hurricane. Spatial pattern matched the damaged areas and temporal changes fitted the time when disaster occurred. High level of correlation values of features were recorded when hurricane occurred, suggesting that updates in data were led by the hurricane.

GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

scholarly journals Implementation of Markov Chain in Detecting Opportunities for Natural Disasters in Klaten (Case Study: Number of Floods, Landslides, and Hurricanes 2019-2020)

2021 ◽  
Vol 1 (2) ◽  
pp. 58-67
Author(s):  
Afdelia Novianti ◽  
Dina Tri Utari
Keyword(s):  
Markov Chain ◽  
Natural Disasters ◽  
Human Life ◽  
The Other ◽  
Future Period ◽  
The Past ◽  
Current Period ◽  
Markov Chain Method ◽  
The Government

Java Island is one of the areas that is very fertile and densely populated, but on the other hand, Java Island is also one of the areas that is most frequently hit by natural disasters, one of which is Klaten Regency. Natural disaster itself is an event that threatens and disrupts human life caused by nature. Some of the natural disasters that often occur simultaneously in Klaten Regency are floods, landslides, and hurricanes. These three disasters usually occur during the rainy season. This of course makes the government need to take action by seeing the large chance of a disaster occurring in order to optimize disaster management. Then research will be carried out that aims to determine the chances of natural disasters occurring in the next few years. Forecasting will be carried out using the Markov chain method, with this method the probability value of the future period can be estimated using the current period probability value based on the characteristics of the past period. So that the value of the steady state chance of floods and landslides in period 36 (December 2023) and hurricanes in period 15 (March 2022) with the chances of a disaster are 34.21%, 15.38%, and 73.53%, respectively.Received August 31, 2021Revised October 27, 2021Accepted November 11, 2021

Natural Disasters Management and the Challenge of Governability in Indonesia

2019 ◽  
Vol 65 (3) ◽  
pp. 627-645 ◽  
Author(s):  
David Efendi ◽  
Agustiyara ◽  
Husni Amriyanto Putra
Keyword(s):  
Civil Society ◽  
Natural Disasters ◽  
Disaster Management ◽  
Community Involvement ◽  
Local Community ◽  
Community Needs ◽  
Major Transformation ◽  
The Relationship

Since 1998, Indonesia has experienced a major transformation in the relationship between the rulers and the ruled. State–society relationships were previously subject-object, military-civilian, or superior-inferior. In other words, the state played a central role in all matters, while civil society ‘Muhammadiyah’ was limited to political and social activities. This tended to negatively impact community involvement in prevention and risk-reduction for natural disasters. This paper examines the role of civil society in disaster management in Indonesia. It does so in relation to the particular example of Yogyakarta, a special province where local values traditionally have more inherent authority than government-imposed law. The paper further discusses how there are important lessons for the future to be drawn from a Yogyakarta case study of how the national government has generally failed to build a private–public partnership and state–society relationship to deal with natural disasters based on local community needs.

scholarly journals Tourism Sensitivity to Natural Disaster: a Case Study of Ranau Earthquake 2015

2021 ◽  
Author(s):  
Ak Mohd Rafiq Ak Matusin ◽  
Pau Chung Leng ◽  
Muhamad Solehin Fitry Rosley ◽  
Noradila Rusli ◽  
Gabriel Hoh Teck Ling ◽  
...  
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Management ◽  
Depth Interview ◽  
System Adaptation ◽  
Destination Area ◽  
Tourism Activity ◽  
Natural Disaster Management

Despite increased global interest in the impacts of natural disasters on tourism, less study executes exploring how tourism sensitivity is addressed at the destination level. Generating a link between tourism and natural disaster management is vital in places that rely heavily on tourism and are prone to natural hazards. Ranau, Sabah (Malaysia) is one of the disaster-prone tourists' destination area. Hence, this paper applies the case study of Ranau earthquake 2015 to explore tourism sensitivity towards natural disasters. A qualitative of in-depth interview is applied to acquire information needed from the Ranau tourism entrepreneurs and operators. To analyse the qualitative data, a thematic analysis is conducted. Overall findings show that tourism activity in Ranau are identified to be sensitive towards the 2015 earthquake with a significant percentage of sensitivity level on two elements. These elements are known as Source and Power. The Source element includes tourism products, size of business, development, and natural disasters management with a significant sensitivity compared to the Power element (social capital). This provides insight to the need of specific tourism system adaptation as response to the earthquake and considering the integration of natural disaster management into tourism development to enhance long term sustainability.

scholarly journals The colour analysis method applied to homogeneous rocks

Geologos ◽  
2015 ◽  
Vol 21 (4) ◽  
pp. 233-239
Author(s):  
Amadé Halász ◽  
Ákos Halmai
Keyword(s):  
Radioactive Waste ◽  
Rock Type ◽  
Cost Effective ◽  
Analysis Method ◽  
The Core ◽  
Cost Effective Method ◽  
Natural Gamma ◽  
Computer Aided ◽  
High Level

Abstract Computer-aided colour analysis can facilitate cyclostratigraphic studies. Here we report on a case study involving the development of a digital colour analysis method for examination of the Boda Claystone Formation which is the most suitable in Hungary for the disposal of high-level radioactive waste. Rock type colours are reddish brown or brownish red, or any shade between brown and red. The method presented here could be used to differentiate similar colours and to identify gradual transitions between these; the latter are of great importance in a cyclostratigraphic analysis of the succession. Geophysical well-logging has demonstrated the existence of characteristic cyclic units, as detected by colour and natural gamma. Based on our research, colour, natural gamma and lithology correlate well. For core Ib-4, these features reveal the presence of orderly cycles with thicknesses of roughly 0.64 to 13 metres. Once the core has been scanned, this is a time- and cost-effective method.

scholarly journals Learning From Each Other in the Management of Natural Disaster and COVID-19 Pandemic: A Case Study in Taiwan

2021 ◽  
Vol 9 ◽  
Author(s):  
Hsiao-Wen Wang ◽  
Guan-Wei Chen ◽  
Wei-Lin Lee ◽  
Shuei-Huei You ◽  
Chia-Wen Li ◽  
...  
Keyword(s):  
Natural Disasters ◽  
Disaster Management ◽  
Local Governments ◽  
Emergency Operation ◽  
Communicable Diseases ◽  
Risk Governance ◽  
Emergency Operations ◽  
Consultation Group ◽  
And Training

In response to the COVID-19 pandemic, Taiwan has been one of the best performers in the world with extremely low infections and deaths. This success can be attributed to the long experiences dealing with natural disasters and communicable diseases. However, with different disastrous characteristics, the disaster management systems for communicable diseases and natural disasters are very different in terms of laws, plans, frameworks, and emergency operations. Taking the response to COVID-19 pandemic as a study subject, we found that disaster management for communicable diseases can be improved through a comparison with natural disasters, and vice versa. First, having wider and longer impacts than natural disasters, the plans and framework for communicable diseases in Taiwan focus more on national and regional scales. Local governments would need more capacity support including budgets and training to conduct investigations and quarantine during the COVID-19 pandemic. Second, for quick response, the emergency operation for communicable diseases was designed to be more flexible than that for natural disasters by giving the commander more authority to adjust to the circumstances. The commanding system requires a more objective consultation group to prevent arbitrary decisions against the COVID-19 pandemic. Finally, risk governance is important for communicable diseases as well as for natural disasters. Additional efforts should be made to enhance vulnerability assessment, disaster reduction, and risk communication for shaping responses and policies in an efficient and coordinating way.

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