Regional coastal erosion assessment based on global open access data: a case study for Colombia

Abstract

Many coastlines throughout the world are retreating, as a result of erosion and sea level rise. The damage incurred to property, infrastructure, coastal flood defence, and the loss of ecosystem services and agricultural land have substantial economic repercussions. For many coastal regions located in developing countries, the assessment of the spatial extent of coastal erosion is very time-consuming and is often hampered by lack of data. To investigate the suitability of global open access data for coastal erosion assessments at regional scale six biogeophysical variables (geological layout, waves, sediment balance, tides, storms, and vegetation) were integrated using the Coastal Hazard Wheel approach (CHW). Original datasets with global coverage were retrieved from the internet and from various research institutes. The data were processed and assigned to the CHW classes, so that the CHW method could be applied to assess coastal erosion hazard levels. The data can be viewed in the Coastal Hazard Wheel App (www.coastalhazardwheel.org) that also allows the coastal erosion hazard levels to be determined for each point at coastlines around the world. The application of the CHW with global open access data was tested for the Caribbean and Pacific coasts of Colombia and revealed a high to very high erosion hazard along 47% of the Caribbean coast and along 23% of the Pacific coast. The application provides additional information on capital stock near the coast, as a tentative indication of assets at risk. This approach provides a straightforward and uniform erosion hazard identification method that can be used for spatial planning on coastal developments at a regional scale.

Validation of the Hazard and Vulnerability Analysis of Coastal Erosion in the Caribbean and Pacific Coast of Colombia

“…The different methodologies related to coastal erosion risks have implemented different models, indices, or methods, emphasizing the physical susceptibility factors of the coastal area, but few have stopped to evaluate the human aspects in direct relation to the nature of the phenomenon. However, some related studies have been implemented in the Caribbean [36] and Colombia [50,56]. The differences between some authors [22,24,56] lie not only in the use of different indices, GIS methods (e.g., Fuzzy), and models, but also in the minimum spatial units of analysis, some using homogeneous lines or areas.…”

“…However, some related studies have been implemented in the Caribbean [36] and Colombia [50,56]. The differences between some authors [22,24,56] lie not only in the use of different indices, GIS methods (e.g., Fuzzy), and models, but also in the minimum spatial units of analysis, some using homogeneous lines or areas. This study combines areas with a grid.…”

Políticas, normas y estrategias que fomentan los datos abiertos en Colombia: un análisis de literatura

“…Los estudios que se relacionan con la fase de uso de DA en Colombia analizan las condiciones dispuestas por el Gobierno nacional para lograr beneficios a la comunidad y las empresas, a partir de los DA y Big Data (Rodríguez Rojas, Tarazona Bermúdez & Cueva Lovelle, 2014;Rodríguez Rojas, Tarazona Bermúdez y Montenegro Marín, 2015); identifican el nivel de conocimiento y uso de los DA de parte de la ciudadanía (Said-Hung et al, 2019), y presentan cómo se han usado datos públicos en investigaciones en macro ecología y erosión costera (Blanco-Libreros & Álvarez-León, 2019;Stronkhorst et al, 2018); así como, el aporte de la Web Semántica para fomentar el uso de DA (Pérez-Castillo et al, 2016). En la fase de publicación se observó que los trabajos revisados se orientan al análisis del contenido y la Políticas, normas y estrategias calidad de los conjuntos de datos publicados por entidades públicas e instituciones de educación superior (Osorio-Sanabria, Amaya-Fernández & González-Zabala, 2018a, 2018b Osorio-Sanabria, Amaya-Fernández y González-Zabala, 2019); y al desarrollo de plataformas…”

Application of the Coastal Hazard Wheel for Coastal Multi-Hazard Assessment and Management in the Guang-Dong-Hongkong-Macao Greater Bay Area

“…CHW is a globally oriented coastal classification and decision support system proposed by Appelquist et al [31], which can be used to assess multiple hazards (e.g., ecosystem disruption, gradual inundation, salt-water intrusion, erosion and flooding) from local to national coasts and develop related management programs to assist integrated coastal zone management (ICZM) to better respond to the impacts of climate change. At present, CHW has been applied in coastal hazard assessment studies in foreign regions, such as India, Colombia, Djibouti and Malta, which is mainly used to assess the impact of coastal erosion hazards [14,[32][33][34][35][36][37].…”