3rd ICLIM - 2019
Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/20685
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Item Disaster Management in Libraries: a Study based on the Museum Library of Sri Lanka(3rd International Conference on Library and Information Management, Department of Library and Information Science, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2019) Amarasooriya, Y.W.N.D.As far as human history is concerned, disasters have been occurred simultaneously and the libraries evolved in the society faced the same disaster issues that have been damaged to intellectual resources owing to the fact. Although disaster management plans have been prepared in collaboration with disaster management experts in many countries around the world to prevent and respond to such incidents, libraries in Sri Lanka are still not satisfied with disaster management's interest, contribution and the workload. The main objective of this study is to identify the physical resources and human resources which are vulnerable for disasters of the Museum Library of Sri Lanka and disaster management activities and to present a suitable disaster management plan. Other objectives of this study are to investigate why the management of the institute was not interested in developing a disaster management plan and to educate the library professionals on disaster management. The Museum Library of Sri Lanka is used as the sample. Techniques like the observation and interviews are used to gather primary data for the research. Data analysis is carried out using the Excel software. A disaster management plan can be proposed for the libraries to face any challenge and to prevent disasters. In that plan, preventing the disasters, main preparedness, responding, and reconciling are the components of such a plan. These factors are taken into account in the Disaster Management Planning Proposal for the Sri Lanka Museum Library.Item Threat of Sea Level Rise to the Coastal Community in Sri Lanka: Use of Satellite Information in Disaster Management(3rd International Conference on Library and Information Management, Department of Library and Information Science, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2019) Indika, K.W.; Priyadasa, R.U.K.; Wijerathne, E.M.S.Sea level rise is a profound indicator for circumstance of human activities relatively growing population and their requirements of the development during last three decades. The coastal area around the country consisted of most dense population, economically active land areas and interconnected infrastructures such as ports, fisheries harbours, industries, express roads and port cities. One of leading impacts of global warming is a progressive rise of mean sea level by the causing of thermal expansion of oceanic water and melting of glaciers. Sea level records were collected from Sri Lankan tide gauge network and 10 sampling stations from gridded satellite sea level observations during last 25 years around the country. The satellite data was provided by the Achieving Validating, Interpretation of Satellite Oceanography (AVISO). The high frequency tide gauge time series data were averaged to obtained monthly mean and was superimposed on the same axis of satellite time series mean sea level to compare the precision of expected sea level trend. The vulnerable coastal area was calculated under three ranking based on elevation factor from the mean sea level zero to 3m elevation in 1m contour using the Shuttle Radar Topographic Mission (SRTM) 90 m Digital Elevation Map (DEM) originally produced by the NASA with horizontal datum WGS84 and Vertical datum EGM96 using Arc Map 10.1. Satellite derived annual average mean sea level trend 2.585mm around the country while tide gauge estimated trend 2.904mm were showed with a difference of 0.319mm positive deviation from satellite observations. The sea level trend in northern coast little lower than southern coast around of the country. The tide gauge observations showed root mean square differences (RMSDs) approximately 80% of the variance of the MSL signal estimated from satellite altimetry data. Annual variation was 20 to 30 cm according to the average monthly mean sea level signals during the last 25 years. The enumerated vulnerable land area were classified as highly vulnerable, moderately vulnerable and low vulnerable with the elevation gradient of 0-10 cm, 10-20 cm, 20-30 cm. The maximum vulnerable land area was recorded in the Northern part of the country within 100 Sq.km of land area below 1m elevation exposing to the ocean based hazards induced by sea level rise.