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Identificación de riesgos por desastres naturales en las cuencas hidrográficas Matasnillo (Panamá) y Goascorán (Honduras), y su relación con el cambio climático utilizando Tecnologías de Información Geográfica
Author(s) -
Eduardo Moreno Segura,
Claudia Nataly Mondragón Rivera,
José David Cáceres,
Antonio B Carias Arias
Publication year - 2017
Publication title -
ciencias espaciales
Language(s) - English
Resource type - Journals
eISSN - 2521-5868
pISSN - 2225-5249
DOI - 10.5377/ce.v9i1.3126
Subject(s) - geography , humanities , art
Honduras and Panama are characterized by intense and long-last in grain fall, storms, severe electrical shock, floods, wildfires, marine tubes, tsunamis, episodes of the presence of El Nino, La Nina and spills of hazardous substances. On the other hand, Global climate change model syndicate that both countries are subject to severe changes, such as increased temperature, drought, more intense precipitation, more frequent storms and rising average sea level. This work is carried out under the University Program for Comprehensive Disaster Risk Management and Adaptation to Climate Change in Central America (PRIDCA) coordinated by the Central American University Council (CSUCA) and funded by the Swiss Agency for Development and Cooperation (COSUDE)- and where the National Autonomous University of Honduras and the International Maritime University of Panama, through an inter-university project decided, from the perspective of scientific and technological research, to develop strategies and actions to reduce risks of natural disasters in watersheds Rivers Matasnillo, Gulf of Panama, and the Goascoran River basin, Gulf of Fonseca, Honduras; and the relationship of climate change further comprising a transverse axis of involvement and owner ship of the process by the key players in the study areas, through the development of a methodology that enables the identification, analysis and classification of risk product identifying threats and vulnerabilities in the basins selected through the application of GIS technologies, as well as developing proposals and recommendations to minimize risks identified as high based on depth threat.

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