Classification of damage to the structures of buildings in towns in coastal areas

2016 ◽  
Vol 70 ◽  
pp. 212-221 ◽  
Author(s):  
Jose M. Adam ◽  
Jose D. Moreno ◽  
Mercedes Bonilla ◽  
Teresa M. Pellicer
Keyword(s):  
2014 ◽  
Vol 7 (7) ◽  
pp. 2061-2072 ◽  
Author(s):  
T. Kanitz ◽  
A. Ansmann ◽  
A. Foth ◽  
P. Seifert ◽  
U. Wandinger ◽  
...  

Abstract. In the CALIPSO data analysis, surface type (land/ocean) is used to augment the aerosol characterization. However, this surface-dependent aerosol typing prohibits a correct classification of marine aerosol over land that is advected from ocean to land. This might result in a systematic overestimation of the particle extinction coefficient and of the aerosol optical thickness (AOT) of up to a factor of 3.5 over land in coastal areas. We present a long-term comparison of CALIPSO and ground-based lidar observations of the aerosol conditions in the coastal environment of southern South America (Punta Arenas, Chile, 53° S), performed in December 2009–April 2010. Punta Arenas is almost entirely influenced by marine particles throughout the year, indicated by a rather low AOT of 0.02–0.04. However, we found an unexpectedly high fraction of continental aerosol in the aerosol types inferred by means of CALIOP observations and, correspondingly, too high values of particle extinction. Similar features of the CALIOP data analysis are presented for four other coastal areas around the world. Since CALIOP data serve as important input for global climate models, the influence of this systematic error was estimated by means of simplified radiative-transfer calculations.


2017 ◽  
Vol 50 (3) ◽  
pp. 1721
Author(s):  
A. Mavromatidi ◽  
E. Karymbalis

Tourism development in Greece has led to increasing pressure on coastal areas, which makes the study of sensitive coastal areas essential, in order to find appropriate solutions for their shielding. The aim of this study is an estimation of the effects of an anticipated sea level rise for the touristically developed part of Pieria Prefecture, which includes the settlements Paralia, Skala of Katerini, Olympic Beach, Korinos Beach and extends north to the area of the Kitrous saltworks and south to the mouth of Mavroneri river. Therefore the Coastal Vulnerability Index (CVI) is applied, in an attempt to determine the susceptible parts to the potential sea level rise. CVI depends on the following parameters: (a) coastal geomorphology, (b) coastal slope, (c) shoreline erosion/accretion rate, (d) relative sea-level rise fluctuations, (e) mean tidal range and (f) mean significant wave height. The classification of the coast, which is of particular socio-economic significance since it hosts urbanized areas, into five CVI classes (from very low vulnerability to very high vulnerability), showed that 43.6% of the entire coastline is of very high vulnerability. 


Author(s):  
José A. Juanes ◽  
Araceli Puente ◽  
Elvira Ramos

Ecological classification of coastal waters has become increasingly important as one of the basic issues in the biology of conservation. Management and protection of coastal areas take place at different spatial scales. Thus, proper classification schemes should integrate equivalent information at various levels of definition in order to show its feasibility as a useful tool for assessment of coastal environments at the required scales. In this work, a global approach applied to the classification of the NE Atlantic coast is analysed in order to discuss pros and cons regarding different conceptual and technical issues for effective implementation of such a management tool. Using the hierarchical system applied at three different geographic scales: Biogeographic (NE Atlantic coast), Regional (Bay of Biscay) and Local (Cantabria region), five different topics were considered for debating strengths and weaknesses of the methodological alternatives at those spatial scales, using for validation the rocky shore macroalgae as a representative biological element of benthic communities. These included: (i) the spatial scales; (ii) the physical variables and indicators; (iii) the classification methodologies; (iv) the biological information; and (v) the validation procedure. Based on that analysis, the hierarchical support system summarized in this paper provides a management framework for classification of coastal systems at the most appropriate resolution, applicable to a wide range of coastal areas. Further applications of the physical classification for management of biodiversity in different environmental scenarios are also analysed.


2002 ◽  
Vol 80 (3) ◽  
pp. 418-429 ◽  
Author(s):  
Jane U Jepsen ◽  
Nina E Eide ◽  
Pål Prestrud ◽  
Linn B Jacobsen

The use of habitat by reproducing arctic foxes (Alopex lagopus) in relation to prey distribution was examined on the Svalbard archipelago in the Norwegian High Arctic during 1987–1988 and 1997–2000 by means of VHF telemetry. The distribution and abundance of the main prey species of foxes was registered in 4 separate periods during summer. The availability of 9 habitat types was estimated on the basis of a classification of a Landsat-5 TM scene. Three resource areas that differed with regard to distribution and availability of prey, vegetation, and terrain were identified within the study area: (1) inland areas with no geese, (2) inland areas with geese present, and (3) coastal areas with bird cliffs. The use of resources by foxes was calculated in the 4 separate periods, as was the average speed of movement (m/h) of foxes and the distance between fox locations and their natal dens. Resource-selection functions (RSFs) calculated for individual animals showed that resource use was nonrandom and similar for foxes that lived within the same resource area. In inland areas in which resource availability was low but fairly stable (area 1), RSFs were simple and in some cases of low significance compared with a no-selection model. In inland areas with highly dynamic resources (area 2), RSFs were complex and resource use differed significantly between periods. In coastal areas (area 3), where resources were plentiful, highly concentrated, and stable, RSFs were of intermediate complexity and resource use differed less between periods.


2020 ◽  
Vol 2 (1) ◽  
pp. 12-18
Author(s):  
Nilawati Nilawati ◽  
Olivia Oktorie

This study aims to analyze the geoecological potential of the coast in Central Lombok Regency. The research method uses a survey method by determining the sample by purposive sampling. The analysis unit used is a geoecological unit that is assessed for the potential and constraints of each to develop certain tourism activities. Assessment of potential uses a SWOT analysis (Strength, Weakness, Opportunity, and Threat) to determine the development of coastal areas as opportunities for surrounding communities and sustainable maintenance of resources. The development of tourist areas is able to contribute to local revenues, open business opportunities and employment opportunities and at the same time function to maintain and preserve natural and biological wealth. classification of geoecological units in the Central Lombok coast1). Coastal alluvial geoeconomic units, 2) Valley geoecological units between hills, and 3) Geoecological units of the slopes of the denudational hills.


Oceanography ◽  
2021 ◽  
Vol 34 (2) ◽  
Author(s):  
Roger Sayre ◽  
◽  
Kevin Butler ◽  
Keith Van Graafeiland ◽  
Sean Breyer ◽  
...  

A new data layer provides Coastal and Marine Ecological Classification Standard (CMECS) labels for global coastal segments at 1 km or shorter resolution. These characteristics are summarized for six US Marine Biodiversity Observation Network (MBON) sites and one MBON Pole to Pole of the Americas site in Argentina. The global coastlines CMECS classifications were produced from a partitioning of a 30 m Landsat-derived shoreline vector that was segmented into 4 million 1 km or shorter segments. Each segment was attributed with values from 10 variables that represent the ecological settings in which the coastline occurs, including properties of the adjacent water, adjacent land, and coastline itself. The 4 million segments were classified into 81,000 coastal segment units (CSUs) as unique combinations of variable classes. We summarize the process to develop the CSUs and derive summary descriptions for the seven MBON case study sites. We discuss the intended application of the new CSU data for research and management in coastal areas.


Turyzm ◽  
2014 ◽  
Vol 24 (1) ◽  
pp. 51-57 ◽  
Author(s):  
Leszek Butowski

The aim of this article is to provide a description of the processes which take place within offshore and coastal areas treated as contemporary tourism space. The article presents the evolution of maritime space towards the formation of maritime tourism space. It also offers a classification of maritime tourism space types according to types of sailing tourism (investigated on a global scale). The analysis has covered the main geographical-structural conditions and forms of adaptation (with particular focus on coastal areas). The analysis covered seaside areas as well, but only in the context of their functional relation with sea areas. The entire investigation was conducted from the perspective of maritime sailing tourism (yachts and other recreational crafts).


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