Flood Vulnerability Analysis using Remote Sensing and GIS A Case Study of Olpad Taluka of Surat

dc.contributor.guideVora A.M.
dc.coverage.spatial
dc.creator.researcherMathur D.K
dc.date.accessioned2018-10-29T11:29:26Z
dc.date.available2018-10-29T11:29:26Z
dc.date.awarded2018
dc.date.completed2018
dc.date.registered2014
dc.description.abstractFlood is considered as one of the most recurring and frequent disasters in the world. Due to recurrent occurrences, the economic loss and loss of human lives and livestock caused by the flood is much more than any other natural disaster. India is repeatedly affected by many flood events which have caused huge loss to the economy. It has been found that the incidences of the flood are increasing very rapidly. It can be attributed to many reasons including an increase in population, rapid urbanization, growing developmental and economic activities in floodplains and global warming. Out of the total geographical area of 329 million hectares (Mha), more than 40 Mha is flood prone. Frequent floods have caused massive damage to livelihood systems, property, infrastructure and public utilities. It is a cause for concern that flood-related damages have shown an increasing trend. The average annual flood damage in the last ten years period from 2005 to 2014 was US$ 43,974.27Million. On average every year, 75 lakh hectares of land is affected, 1600 lives are lost, and the damage caused to crops, houses and public utilities is Rs.18,050 million due to floods. In the year 1977, the maximum numbers of lives lost were 10,316. The frequency of significant floods is more than once in five years. Flood is a natural disaster and almost occurs in every part of the world. India has longest rivers passing from high population density area and during monsoon season, river floods are frequent in India. Most likely conditions causing floods are outdated or clogged drainage systems and rapid accumulation of rainfall. In Gujarat, Tapi River causes a flood in Surat and its nearby areas. Geospatial technology can play an essential role in providing valuable information useful in the flood assessment, mitigation and preparedness planning. Weather monitoring and effective communication for early warning have helped in the better management of floods. Demonstrated applications of Space Technology are a development of early warning system
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent19, 134
dc.identifier.urihttp://hdl.handle.net/10603/219624
dc.languageEnglish
dc.publisher.institutionDepartment of Physics
dc.publisher.placeSurendranagar
dc.publisher.universityC.U. Shah University
dc.relation129 References Aggarwal, S. (2005). Principles of Remote Sensing. Satellite Remote Sensing and GIS Applications in Agricultural Meteorology (Vol. WMO/TD No.1182, pp. 23- 38).Switzerland: World Meteorological Organisation. Retrieved from www.wmo.in. Ajai, Baba, M., Unnikrishnan, A. S., Rajawat, A. S., Bhattacharya, S., Ramakrishnan, R., Sundar, D. (2013). Demarcation of Coastal Vulnerability Line along the Indian Coast. Journal of Geomatics, 7 (1), 25-31. Babar, M. D. (2007). Environmental Changes and Natural Disasters. New Delhi: New India Publishing agency. Barros. V. (2012). Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special report of working groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge: IPCC Cambridge University Press. Retrieved from https://www.ipcc.ch/. Bhatta, B. (2008). Remote Sensing and GIS (Vol. 1). New delhi: OXFORD University Press. Bhatta, B. (2013). Research Methods in Remote Sensing. New York: Springer Briefs in Earth Sciences. Calla, O.P.N (1990). Applications of Microwave in Remote Sensing. Indian Journal of Radio and Space Physics, 19(4), 343-358. Chattopadhyay, A. (2012). Coastal Erosion and Management: A Case Study of Digha, East Medinipore District. Golden Research Thoughts, 2(5), 1-8. Durusoju, H. P., and Nandyala, D. K. (2014). Coastal Erosion Studies A Review. International Journal of Geosciences, 5(3), 341-345. Dora, U. G., Kumar, S., Sajiv, P., Johnson, G., Vinayaraj, P., and Gowthaman, R. (2011). Textural Characteristics of Foreshore Sediments along Karnataka shoreline, West Coast of India. International Journal of Sediment Research, 26(3), 364-377. Gangwar, S. (2013). Flood Vulnerability in India: A Remote Sensing and GIS Approach for Flood Vulnerability in India: A Remote Sensing and GIS Approach for. International Journal of Environmental Science: Development and Monitoring (IJESDM), 4(2), 77-79. Retrieved from https://www.ripublication.com. Grinderud, H. R. (2009). GIS: The Geographic Language of Our Age. DEVON UK: Tapir Academic Press. Gujarat State Disaster Management Authority.(2014).Gujarat State Disaster Management Plan Volume 1.Gandhinagar. Retrieved from http://www.gsdma.org. Guha-Sapir, D.,Hoyois, P., and Below, R. (2015). Annual Disaster Statistical Review 2015 Numbers and Trends. (pp. 1-59, Rep.). Brussels, Belgium: Centre for Research on the Epidemiology of Disasters (CRED). Retrieved from http://www.cred.be/sites/default/files/ADSR_2015.pdf
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordFlood, Remote Sensing, GIS
dc.titleFlood Vulnerability Analysis using Remote Sensing and GIS A Case Study of Olpad Taluka of Surat
dc.title.alternative
dc.type.degreePh.D.

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