scholarly journals Natural Disasters and Rural Vietnam: Estimations and Forecasts

2015 ◽  
Vol 22 (1) ◽  
pp. 42-61
Author(s):  
Vu Tam Bang ◽  
IM ERIC IKSOON
Keyword(s):  
Natural Disasters ◽  
Instrumental Variable ◽  
Disaster Prevention ◽  
Forest Development ◽  
Seemingly Unrelated Regressions ◽  
Prevention Measure ◽  
Disaster Data ◽  
Per Capita

Using disaster data from the emdat.be website and data for six regions in Vietnam, this paper investigates the impacts of natural disasters on the gross product per capita of the three rural sectors that have been affected the most by disasters―agriculture, fishery, and forestry―over the period 1995 to 2013. The preliminary tests reveal endogeneity and contemporaneous correlations among these three sectors. Hence, a combination of instrumental variable (IV) estimations and system seemingly unrelated regressions (SSUR) are employed. The results reveal that disasters have different impacts on different sectors of the rural Vietnam with agriculture suffering the heaviest losses, fishery second, and forestry suffers the least. We then analyze the effects of reforestation as a disaster prevention measure and provide forecasts on the forest development in Vietnam.

scholarly journals Resilience in the Face of the Nature’s Furor: Natural Disasters and Vietnamese Households

2014 ◽  
Vol 219 ◽  
pp. 02-19
Author(s):  
Vu Tam Bang ◽  
IM ERIC IKSOON
Keyword(s):  
Natural Disasters ◽  
Capita Income ◽  
Per Capita Income ◽  
Domestic Trade ◽  
Residential Investment ◽  
Disaster Data ◽  
The Face ◽  
Aggregate Effects ◽  
Per Capita ◽  
Compare And Contrast

This paper investigates the effects of natural disasters in Vietnam over the period 2002-2010. Using disaster data from the desinventa.net and data on other variables for 64 sub-regions from the General Statistic Office of Vietnam, we examine the impacts of natural disasters on household per capita income, residential investment, and domestic trade. The damage measures comprise the number of people killed, number of people injured, number of houses destroyed, and number of houses damaged. The results reveal that the aggregate effects of the disaster damages on household per capita income are insignificant and on residential investment are positive, implying the resilience of the Vietnamese people against natural disasters. We then compare and contrast the costs of disasters among different regions in Vietnam.

PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN DAERAH RAWAN BENCANA DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Amril Mutoi Siregar
Keyword(s):  
Natural Disasters ◽  
Accurate Data ◽  
Disaster Victims ◽  
Central Java ◽  
North Sulawesi ◽  
Natural Beauty ◽  
Or Groups ◽  
Disaster Data ◽  
The Government ◽  
Almost All

Indonesia is a country located in the equator, which has beautiful natural. It has a mountainous constellation, beaches and wider oceans than land, so that Indonesia has extraordinary natural beauty assets compared to other countries. Behind the beauty of natural it turns out that it has many potential natural disasters in almost all provinces in Indonesia, in the form of landslides, earthquakes, tsunamis, Mount Meletus and others. The problem is that the government must have accurate data to deal with disasters throughout the province, where disaster data can be in categories or groups of regions into very vulnerable, medium, and low disaster areas. It is often found when a disaster occurs, many found that the distribution of long-term assistance because the stock for disaster-prone areas is not well available. In the study, it will be proposed to group disaster-prone areas throughout the province in Indonesia using the k-means algorithm. The expected results can group all regions that are very prone to disasters. Thus, the results can be Province West java, central java very vulnerable categories, provinces Aceh, North Sumatera, West Sumatera, east Java and North Sulawesi in the medium category, provinces Bengkulu, Lampung, Riau Island, Babel, DIY, Bali, West Kalimantan, North Kalimantan, Central Sulawesi, West Sulawesi, Maluku, North Maluku, Papua, west Papua including of rare categories. With the results obtained in this study, the government can map disaster-prone areas as well as prepare emergency response assistance quickly. In order to reduce the death toll and it is important to improve the services of disaster victims. With accurate data can provide prompt and appropriate assistance for victims of natural disasters.

scholarly journals Determination of Climate Factors in Flood and Drought Disaster in Indonesia using Instrumental Variable (IV) Methods

2021 ◽  
Vol 13 (1) ◽  
pp. 54-61
Author(s):  
Faradiba Faradiba
Keyword(s):  
Instrumental Variable ◽  
Positive Impact ◽  
Climate Data ◽  
Community Activities ◽  
Study Results ◽  
Disaster Data ◽  
Drought Disaster ◽  
Instrumental Variable Method ◽  
Dry Seasons ◽  
Floods And Droughts

Located in the Southeast Asia region, Indonesia has rainy and dry seasons. In the rainy and dry seasons that occur in Indonesia, often causes many problems in various business sectors and community activities, including floods and droughts. It is known that the disaster will have an impact on material and non-material losses. This study uses climate data and disaster data at the village level to determine the effect of rainfall on disasters. This study uses the instrumental variable method because the model has endogeneity problems. The study results concluded that increased rainfall had a positive impact on flood disasters with a coefficient of 0.003038. Simultaneously, rainfall also impacted drought with a coefficient of -0.000377.  Variables in the regression model that are formed can explain 1.74 percent of the flood disaster and 0.59 percent of the drought disaster. These results indicate that most of the other variables can influence flooding and drought. Through this research, it is known that rainfall for floods and droughts is quite significant. Therefore, government and community efforts are needed to anticipate similar disasters.

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.

Fatal Work Injuries Involving Natural Disasters, 1992–2006

2009 ◽  
Vol 3 (4) ◽  
pp. 201-209 ◽  
Author(s):  
Gregory M. Fayard
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Preparedness ◽  
Large Scale ◽  
Expert Knowledge ◽  
Occupational Injuries ◽  
Motor Vehicles ◽  
Disaster Data ◽  
The Government ◽  
Classification Structure

ABSTRACTObjective: Although a goal of disaster preparedness is to protect vulnerable populations from hazards, little research has explored the types of risks that workers face in their encounters with natural disasters. This study examines how workers are fatally injured in severe natural events.Methods: A classification structure was created that identified the physical component of the disaster that led to the death and the pursuit of the worker as it relates to the disaster. Data on natural disasters from the Census of Fatal Occupational Injuries for the years 1992 through 2006 were analyzed.Results: A total of 307 natural disaster deaths to workers were identified in 1992–2006. Most fatal occupational injuries were related to wildfires (80 fatalities), hurricanes (72 fatalities), and floods (62 fatalities). Compared with fatal occupational injuries in general, natural disaster fatalities involved more workers who were white and more workers who were working for the government. Most wildfire fatalities stemmed directly from exposure to fire and gases and occurred to those engaged in firefighting, whereas hurricane fatalities tended to occur more independently of disaster-produced hazards and to workers engaged in cleanup and reconstruction. Those deaths related to the 2005 hurricanes occurred a median of 36.5 days after landfall of the associated storm. Nearly half of the flood deaths occurred to passengers in motor vehicles. Other disasters included tornadoes (33 fatalities), landslides (17), avalanches (16), ice storms (14), and blizzards (9).Conclusions: Despite an increasing social emphasis on disaster preparation and response, there has been little increase in expert knowledge about how people actually perish in these large-scale events. Using a 2-way classification structure, this study identifies areas of emphasis in preventing occupational deaths from various natural disasters. (Disaster Med Public Health Preparedness. 2009;3:201–209)

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.

scholarly journals Application of Density Based Clustering of Disaster Location in Realtime Social Media

TEM Journal ◽  
2020 ◽  
pp. 929-936
Author(s):  
Mochammad Haldi Widianto ◽  
Ivan Diryana Sudirman ◽  
Muhammad Hanif Awaluddin
Keyword(s):  
Social Media ◽  
Natural Disasters ◽  
Clustering Methods ◽  
Silhouette Coefficient ◽  
Density Based Clustering ◽  
Data Density ◽  
Disaster Data ◽  
User Data ◽  
High Degree ◽  
Degree Of Similarity

Online life is used as a method of finding information, one of which is Twitter as the medium. The occurrence of natural disasters is very detrimental. Therefore, the application is needed to see natural disasters through social media Twitter. A small number of studies using clustering methods based on Twitter user data density are the beginning of this research. With the availability of data in certain areas makes it easy to group. After that, the data is grouped based on a high degree of similarity. One result of applying this method is the location of the disaster. NER-based rules are used to discover out the area of the disaster. Data accuracy testing is performed using the Silhouette coefficient.

Sign in / Sign up

Export Citation Format

Share Document