It is home to a large number people, economic and maritime activities with over two hundred (200) million populations. The study was conducted in the North Atlantic coast which stretches from within four (4) continents (North and South America, Europe and Africa). In addition, the phases of the El Niño Southern Oscillation affect the climatic (e.g rainfall) trends and pattern in the study area. In addition to driving global warming, GHGs are readily absorbed by the oceans, resulting in changes in seawater chemistry and a decrease in seawater pH (acidification).
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These gases are the major driver for changing climate scenarios highlighted by an approximate 1☌ increase in sea surface temperatures. Human produced greenhouse gases (GHGs) concentrations in the atmosphere are currently rising at alarming rates. Coastal ecosystems are considered to be sensitive to different environmental forcings, particularly sea-level rise and an increase in storm intensity. Radar and optical remote sensing applications became numerous and the system concepts have been implemented in modelling coastal vulnerability assessments to climate change and extreme events. Department of Meteorology and Climate Sciences Centre for Space Research and Applications (CESRA), Federal University of Technology, Akure, Nigeria 2Osinowo A.A Department of Marine Science and Technology, School of Earth and Mineral Sciences Federal University of Technology, Akure, Nigeria 3Jejelola O.F School of Environmental Technology, Federal University of Technology, Akure, Ondo State, Nigeria 4Olajire O.O African Regional Cebtre for Space Science and Technology Education-English Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria 5Apenuwa O.S Department of Urban and Regional Planning, School of Environmental Technology Federal University of Technology, Akure, Nigeria ABSTRACT The advancement of earth observation technology has greatly improved global research in climate change over the past few decades. Modelling Earth-Observation Assessments and Adaptation of North-Atlantic Coast to Extreme Climate and Ocean Events 1Akande S.O. KEYWORDS: Geographic Information System, raster data, disaster risk, insurance and Urban infrastructure system. This model will also incorporate raster based climatic disaster prediction model.
This paper introduces a prototype model which provides decision support systems for the insurance documentation process, on the web environment, by integrating a property insurance pre-assessment application with a raster-based GIS data and Urban Information systems. The computing tools and technologies available to the insurance companies with the integration of raster-based GIS model and urban information system can mitigate the initial often challenges encountered during the decision making for pre-assessment for insurance and damages associated with climate disaster. However, considering other post construction variables, the availability of urban infrastructure, socio vices, disasters risk, and third-party damages all pose a cumulative impact on social costs and the value of insurance premium that should be placed on the property. These applications often concentrate on land information and values of the property in the pre-assessment evaluation. A variety of advanced computer based application is available to insurance companies and regulatory bodies in the management of building insurance policies. This paper provides a review of the functional characteristics of raster-based GIS data model and urban Information Systems that can be used for spatial decision support systems to aid building Insurance Management Decision.
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