scholarly journals Iron geochemistry in tropical estuarine soils affected by anthropic and natural disasters

2021 ◽  
Author(s):  
Hermano Melo Queiroz
Keyword(s):  
Natural Disasters ◽  
Tropical Estuarine

When Mother Earth Rises Up

2013 ◽  
Vol 44 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Simona Sacchi ◽  
Paolo Riva ◽  
Marco Brambilla
Keyword(s):  
Free Will ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Mental States ◽  
Disaster Victims ◽  
Willingness To Help ◽  
Mother Earth

Anthropomorphization is the tendency to ascribe humanlike features and mental states, such as free will and consciousness, to nonhuman beings or inanimate agents. Two studies investigated the consequences of the anthropomorphization of nature on people’s willingness to help victims of natural disasters. Study 1 (N = 96) showed that the humanization of nature correlated negatively with willingness to help natural disaster victims. Study 2 (N = 52) tested for causality, showing that the anthropomorphization of nature reduced participants’ intentions to help the victims. Overall, our findings suggest that humanizing nature undermines the tendency to support victims of natural disasters.

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.

Social innovation and natural disasters: the "Casa Italia" Plan

2017 ◽  
pp. 87-102 ◽  
Author(s):  
Francesco Pagliacci ◽  
Margherita Russo ◽  
Laura Sartori
Keyword(s):  
Natural Disasters ◽  
Social Innovation

VULNERABILITY TO FLOODING AND COPING BEHAVIOR FOUND IN HOUSING CONDITION: A CASE STUDY IN VAN QUAT DONG VILLAGE, TAM GIANG LAGOON AREA, CENTRAL VIETNAM

2017 ◽  
Vol 126 (4B) ◽  
pp. 49
Author(s):  
Trần Thanh Đức
Keyword(s):  
Natural Disasters ◽  
Coping Behavior ◽  
Housing Condition ◽  
Local People ◽  
Coping Behaviors ◽  
Poverty Level ◽  
Livelihood Security ◽  
Central Vietnam ◽  
And Coping ◽  
The Village

<p>Vietnam is a country that is suffered from frequent natural disasters. The most common types of natural disasters experienced are typhoon and flood. From 1951 to 2010, there were 166 typhoons come to Vietnam, of which 67 % hit the central region, 25 % to the north and 8 % to the south of the country. Typhoons bring heavy rains and high tides which accelerate floods, particularly in the coastal and lagoon areas of Central Vietnam. Identification of vulnerability to flooding and coping behavior of local people is required in the efforts to strengthen local capacity related to livelihood security in the study area. This study aims at characterizing the vulnerability of housing condition to flooding and the coping behaviors of local people after experienced big floods in Tam Giang lagoon area, Central Vietnam. Measurement of house’s foundation, observation of types of housing, interview to collect information about the water level during the events of big floods, year of construction and change of people’s behavior after the 1999’s flood were conducted with 427 households in Van Quat Dong village where four big flooding occurred in 1983, 1999, 2007 and 2009 during the last 30 years. The study shows that the 1999’s flood was the biggest flood with water height reached to 148.7 ± 23.9 cmfrom house floor and 222.6 ± 15.4 cmfrom ground level. The households located in the eastern part of the village are recognized more vulnerable to flood due to the lower altitude. The temporary and semi-permanent houses, which share 77.0 % to the entire houses, are considered to be relatively vulnerable to flooding due to weak housing materials and low height of foundation. The houses which categorized to permanent and semi-permanent types constructed after the 1999’s flood have higher foundation than the other houses constructed before the 1999’s flood. The raising of foundation height of permanent and semi-permanent houses, as well as an increase in numbers of two-storey houses, are recognized to be a behavior of local people to cope with flooding. The study also shows the relationship between the poverty level and the coping behaviors of households. Some of poor households in the village are still not in good preparedness to flooding. It suggests that poverty level of household concerns to the vulnerability to flooding and, therefore, rural development assistance to improve household economy for poverty alleviation is required in the efforts to strengthen local capacity related to livelihood security.<strong></strong></p>

Urban Flood Mapping

2017 ◽  
Author(s):  
Indra Riyanto ◽  
Lestari Margatama
Keyword(s):  
Natural Disasters ◽  
Satisfying Condition ◽  
Three Dimensions ◽  
Urban Flood ◽  
Digital Elevation ◽  
Elevation Data ◽  
Recent Occurrence ◽  
Elevation Model ◽  
Digital Elevation Model Data ◽  
Potential Area

The recent degradation of environment quality becomes the prime cause of the recent occurrence of natural disasters. It also contributes in the increase of the area that is prone to natural disasters. Flood history data in Jakarta shows that flood occurred mainly during rainy season around January – February each year, but the flood area varies each year. This research is intended to map the flood potential area in DKI Jakarta by segmenting the Digital Elevation Model data. The data used in this research is contour data obtained from DPP–DKI with the resolution of 1 m. The data processing involved in this research is extracting the surface elevation data from the DEM, overlaying the river map of Jakarta with the elevation data. Subsequently, the data is then segmented using watershed segmentation method. The concept of watersheds is based on visualizing an image in three dimensions: two spatial coordinates versus gray levels, in which there are two specific points; that are points belonging to a regional minimum and points at which a drop of water, if placed at the location of any of those points, would fall with certainty to a single minimum. For a particular regional minimum, the set of points satisfying the latter condition is called the catchments basin or watershed of that minimum, while the points satisfying condition form more than one minima are termed divide lines or watershed lines. The objective of this segmentation is to find the watershed lines of the DEM image. The expected result of the research is the flood potential area information, especially along the Ciliwung river in DKI Jakarta.

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