RISS 검색 - 국내학술지논문

1
Geo-spatial approach with frequency ratio method in landslide susceptibility mapping in the Busu River catchment, Papua New Guinea

Sujoy Kumar Jana,Tingneyuc Sekac,Dilip Kumar Pal 대한공간정보학회 2019 Spatial Information Research Vol.27 No.1
With the exacerbated kinetic energy of high volume of flowing water, the middle and lower catchment zones of a rugged terrain often become more prone to landslide. Almost half of Lae city, the second largest city in Papua New Guinea falling in the lower end of the catchment remains variably vulnerable to landslides. The study deliberates on the mapping of landslide sustainability, utilizing the geographical data sets such as terrain aspect and slope, land use land cover, site soil-geology, distance from river and distance from existing fault lines as input data for frequency ratio analysis culminating in delineation of susceptible landslide potential zones within the catchment area. The location of previous and recent landslide occurrence zones within the study region were identified and demarcated by dint of high resolution Google earth imagery complimented with the data gathered through field visit. All the thematic layers were prepared and organised for assignment of weights. The calculated frequency ratio values were assigned as weightage to each factor class. By using the weightage sum and raster calculator spatial analyst tool in ArcGIS 10.2.2 the results was generated. The result was then verified with known landslide occurrence and the cumulative % graph was constructed through calculated values. Furthermore the area under curve was calculated and validated with the ground truth information.
2
Identifying potential sites for hydropower plant development in Busu catchment: Papua New Guinea

Tingneyuc Sekac,Sujoy Kumar Jana,Dilip Kumar Pal 대한공간정보학회 2017 Spatial Information Research Vol.25 No.6
Identification of potential sites and then switching to hydro power saves the earth from the menace of emissions from fossil fuel, triggering climate change the world is currently agog with. Quantitative knowledge of the topographical setting along with the stream network within a river catchment is the key to identification of potential sites for hydropower plant development. For the present study, GIS and remote sensing technology were adopted for identifying potential sites for hydropower plant development in the Busu river catchment area. The river discharge was calculated with the help of average rainfall, soil texture, and the land use land cover data. The head was calculated using the SRTM DEM data utilizing focal statistical analysis tool in ArcGIS 10.2. Potential power output was calculated with the density of water and gravitational pull, and then through necessary integration the levels of power output at each site were indicated. Busu river catchment was found to be the most potential site for producing power up to 24 MegaWatt which was the maximum that was identified during evaluation and calculation. This method is suitable for initial screening only. Further in-depth feasibility study is needed to develop hydropower plant sites.
3
Earthquake hazard assessment in the Momase region of Papua New Guinea

Tingneyuc Sekac,Sujoy Kumar Jana,Indrajit Pal,Dilip Kumar Pal 대한공간정보학회 2016 Spatial Information Research Vol.24 No.6
Tectonism induced Tsunami, ﬁre, landslide along with the tremor-triggered-liquefaction are the common hazards experienced worldwide. Such hazards often lead to collapse of built-up infrastructures like roads, bridges, buildings apart from inﬂicting heavy toll on human life and properties. Momase region of Papua New Guinea is one such vulnerable stretch where the appropriate planning is paramount in safeguarding the life and infrastructures. The study sought evaluation and assessments of the level of vulnerability to earthquakes in Momase region. The output can be used as a tool to assist in appropriate site selection that will minimize the earthquake damage risk and also to assist in better and appropriate future construction design or planning at a site. For the present study, application potentials of GIS and remote sensing are utilized to evaluate and assess possible earthquake hazard in the study region. The inﬂuence of soil and geology as the media responsible for aggravating or mollifying earthquake waves are underlined as input. These are the media that inﬂuence ferocity of shaking intensity leading to the destructions during an earthquake episode. Therefore, the site-soil geology and geomorphology are assessed and integrated within GIS environment coupled with seismicity data layers to evaluate and prepare liquefaction potential zones, followed by earthquake hazard zonation of the study area. Multi-criteria evaluation with analytical hierarchy process are adopted for this study. The technology involves preparing and assessing several contributing factors (thematic layers) that are assigned weightage and rankings, and ﬁnally normalizing the assigned weights and ranking. The spatial analysis tool in ArcGIS 10, the raster calculator, reclassify and weightage overlay tools were mainly employed in the study. The ﬁnal output of LPZ and earthquake hazard zones were reclassiﬁed to ‘very high’, ‘high’, ‘moderate’, ‘low’ and ‘very low’ to indicate levels of hazard within a study region.
4
Demarcation of liquefaction zones and risk reduction in Fiji Islands from a geomatics perspective: a case study of Viti Levu Island

Joeli Varo,Tingneyuc Sekac,Sujoy Kumar Jana,Dilip Kumar Pal 대한공간정보학회 2019 Spatial Information Research Vol.27 No.6
Liquefaction induced by tectonism is lethal which warrants up-front risks reduction planning. It is one of the geohazards associated with seismic ground shaking or tremor which result in collapse of buildings, loss of lives and environmental disturbances. Numerous procedures have been employed to identify potential liquefaction zones. The present study aims at assessing the site-soilgeology of Viti Levu Island using the GIS and remote sensing techniques. Site-soil-geology, geomorphology and SRTM DEM data were the main sources of layers used to carry out such analysis using the Saaty’s analytical hierarchical process and ArcGIS multi-criteria analysis. In the ArcGIS 10.5 spatial analyst tool, the raster calculator, reclassify and weightage overlay tools were chosen for this study. The ﬁnal result of liquefaction potential zone indicates the ‘low’, ‘moderate’, ‘high’ and ‘very high’ zones for spatial planners and decision makers to formulate policies. Emphasizing the preventative measures as proactive role rather than re-active role has been highlighted in this spatial physical planning exercise.

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