DISASTER RECOVERY THROUGH PREDICTION OF SAFE ROUTE USING DEM LEVELS

Author(s):  
Sangavi Vp ◽  
N Mounika ◽  
S Graceline Jasmine

When a disaster occurs, the normal commutation routes are disrupted. People get stuck at these disaster points and would be in trouble, hence people in those areas find it difficult to communicate and evacuation route to safe area is unknown. The aim of the paper is to predict safe routes to reach the refuge point from the disaster point. The prototype was developed using Arc geographic information system runtime SDK for Java Application and APIs in Eclipse. The system was developed with digital elevation model layer, and route layer for India basemap focused to Tamil Nadu. The safe route is found based on the elevation values of the area from the disaster point to a safe point. The developed system could be used by the relief providers to reach the disaster point and rescue victims.

2014 ◽  
Vol 571-572 ◽  
pp. 792-795
Author(s):  
Xiao Qing Zhang ◽  
Kun Hua Wu

Floods usually cause large-scale loss of human life and wide spread damage to properties. Determining flood zone is the core of flood damage assessment and flood control decision. The aim of this paper is to delineate the flood inundation area and estimate economic losses arising from flood using the digital elevation model data and geographic information system techniques. Flood extent estimation showed that digital elevation model data is very precious to model inundation, however, in order to be spatially explicit flood model, high resolution DEM is necessary. Finally, Analyses for the submergence area calculation accuracy.


Author(s):  
Gizachew Tiruneh ◽  
Mersha Ayalew

Accelerated soil erosion is a worldwide problem because of its economic and environmental impacts. Enfraz watershed is one of the most erosion-prone watersheds in the highlands of Ethiopia, which received little attention. This study was, therefore, carried out to spatially predict the soil loss rate of the watershed with a Geographic Information System (GIS) and Remote Sensing (RS). Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Based on the analysis, about 92.31% (5914.34 ha) of the watershed was categorized none to slight class which under soil loss tolerance (SLT) values ranging from 5 to 11 tons ha-1 year-1. The remaining 7.68% (492.21 ha) of land was classified under moderate to high class about several times the maximum tolerable soil loss. The total and an average amount of soil loss estimated by RUSLE from the watershed was 30,836.41 ton year-1 and 4.81 tons ha-1year-1, respectively.Int. J. Agril. Res. Innov. & Tech. 5 (2): 21-30, December, 2015


2021 ◽  
Vol 9 (1) ◽  
pp. 79-91
Author(s):  
Mohammad Ridwan Lessy ◽  
Nurhalis Wahiddin ◽  
Jefry Bemba ◽  
Marwis Aswan

Tsunami is one of the catastrophic events that threatened coastal areas in Morotai Island Regency. This is partly because the location of the regency is among several active faults. Therefore, the study aims to analyze the tsunami inundation area and determine a tsunami evacuation route in Daruba Pantai Village, South Morotai District. This study begins with the preparation of a digital elevation model and is compiled with other related maps to produce the tsunami inundation area at the study site. The study results show that a tsunami can hit 176.65 ha, with the disastrous and dangerous category being 5.02% and 0.66%. Meanwhile, specifically for the Daruba Pantai Village area with an area of 60.59 ha, the disastrous and dangerous categories are 10.72% and 1.30%, and the safe category is 36.61% and secure 23.07%. Furthermore, the preparation of the evacuation route is based on the scenario that residents from each zone of both the Neighborhood Unit (RT) and Community Unit (RW) are directed to follow the evacuation path to move towards the temporary shelter point and towards the safety zone.


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