scholarly journals SMC-Floods database: A high resolution press database on floods for the Spanish Mediterranean Coast (1960–2015)

2019 ◽  
Author(s):  
Salvador Gil-Guirado ◽  
Alfredo Pérez-Morales ◽  
Francisco Lopez-Martinez
Keyword(s):  
High Resolution ◽  
Spatial Planning ◽  
Flood Hazard ◽  
Spatiotemporal Analysis ◽  
Mediterranean Coast ◽  
Spatiotemporal Variability ◽  
Economic Losses ◽  
Black Spots ◽  
Social Dynamic ◽  
The Mediterranean

Abstract. Floods are the natural disaster that affects the greatest number of people and causes the highest economic losses in the world. However, some areas, such as the Mediterranean Coast of the Iberian Peninsula, are especially exposed to this natural hazard. The problem takes on even more relevance when a changing social dynamic is added to the natural context. With a view to accomplishing correct spatial planning in the light of the flood hazard, it is necessary to carry out an exhaustive analysis of the spatiotemporal variability of floods with a scale of analysis that allows the detection of changes and the search for causality. Databases compiled from journalistic documentation offer these possibilities of analysis and represent a vital tool for correct spatial planning. In this study we present the SMC (Spanish Mediterranean Coast)-Flood Database for the municipalities of the Mediterranean coast of mainland Spain. This database has enabled the reconstruction of 3008 cases of flooding on a municipal scale and with daily resolution, with information on the type of damages, intensity and area affected. The spatiotemporal analysis of the data reveals black spots where floods are especially intense and damaging, compared to highly-developed areas where the frequency of the floods is very high. This situation is especially worrying, insofar as we have detected a growing trend in the frequency and area affected by floods. However, it is positive that the intensity and severity of the floods follows a falling trend. The main novelty lies in the fact that the high-resolution spatial analysis has made it possible to detect a clear latitudinal gradient of growing intensity and severity with a north–south direction. This pattern subjects the coastal municipalities of the south of Spain to a complicated adaptation scenario.

scholarly journals SMC-Flood database: a high-resolution press database on flood cases for the Spanish Mediterranean coast (1960–2015)

2019 ◽  
Vol 19 (9) ◽  
pp. 1955-1971 ◽  
Author(s):  
Salvador Gil-Guirado ◽  
Alfredo Pérez-Morales ◽  
Francisco Lopez-Martinez
Keyword(s):  
High Resolution ◽  
Spatial Planning ◽  
Latitudinal Gradient ◽  
Temporal Analysis ◽  
Mediterranean Coast ◽  
Digital Archives ◽  
Positive Aspect ◽  
Flood Database ◽  
Spatio Temporal ◽  
Very High

Abstract. Flood databases of high spatio-temporal resolution are a necessary tool for proper spatial planning, especially in areas with high levels of exposure and danger to floods. This study presents the preliminary results of the Spanish Mediterranean Coastal Flood (SMC-Flood) database covering the municipalities in this region. This database collects information on flood cases that occurred between 1960 and 2015 by systematically consulting the digital archives of the main newspapers in the study area. The search for flood information was conducted by means of using links between municipality names and seven keywords that correspond to the most common ways of referring to a situation that is likely to describe a flood in Spain. This methodology has enabled the reconstruction of 3008 flood cases at a municipal scale with daily resolution while gathering information on the types of damage, intensity, severity and area affected. The spatio-temporal analysis of the data reveals hotspots where flood cases are especially intense and damaging when compared to highly developed areas where the frequency of flood cases is very high. This situation is especially worrying insofar as we have detected a growing trend in the frequency and area affected by flood cases. However, one positive aspect is that the intensity and severity of flood cases follows a falling trend. The main novelty lies in the fact that the high-resolution spatial analysis has made it possible to detect a clear latitudinal gradient of growing intensity and severity in a north–south direction. This pattern calls for new actions by the coastal municipal authorities of southern Spain for adaptation to a more complex flood scenario.

scholarly journals HIGH RESOLUTION TSUNAMI MODELING AT THE MEDITERRANEAN COAST OF ISRAEL TOWARDS AN EARLY WARNING TSUNAMI SCENARIOS DATA BANK

2011 ◽  
Vol 1 (32) ◽  
pp. 28 ◽  
Author(s):  
Barak Galanti ◽  
Sergiu Dov Rosen ◽  
Amos Salamon
Keyword(s):  
High Resolution ◽  
Data Bank ◽  
Mediterranean Coast ◽  
Tsunami Generation ◽  
Tectonic Plates ◽  
Tsunami Modelling ◽  
Poster Paper ◽  
The Mediterranean ◽  
Tsunami Scenarios ◽  
The Impact

This poster paper presents first the a tsunami modelling investigation using the state of the art, open source tsunami model (GeoClaw), its adaptation to investigate the impact of tsunami wave generation, propagation and inundation at the Mediterranean coast of Israel using high resolution bathymetric and topographic grid , aided by additional tsunami generation modelling tools simulating the initial stages of tsunami generation by earthquake induced tectonic plates rupture and movement or by landslide on the coastal shelf, as well as visualization tools, adapted by the first author under LINUX operating system as an integral modelling package.

Genetic Diversity and Structure of the Nile Soft-Shelled Turtle (Trionyx triunguis) Along the Mediterranean coast of Turkey

2020 ◽  
Vol 27 (6) ◽  
pp. 307-315
Author(s):  
Özgür Güçlü ◽  
Bülent Bozdoğan
Keyword(s):  
Microsatellite Loci ◽  
Geographic Distance ◽  
Iucn Red List ◽  
Genetic Variations ◽  
Mediterranean Coast ◽  
Critically Endangered ◽  
Mediterranean Populations ◽  
Genetic Diversity And Structure ◽  
Polymorphic Microsatellite ◽  
The Mediterranean

The Nile soft-shelled turtle (Trionyx triunguis) is distributed between Dalyan and Samandağ throughout the Mediterranean coast in Turkey. The Mediterranean subpopulation of the Nile soft-shelled turtle is listed as critically endangered in the IUCN Red List Categories. This investigation aimed to determinate levels of genetic variations and patterns of genetic structures among Mediterranean populations in Turkey by using T. triunguis-specific microsatellite primers. A total of 13 polymorphic microsatellite loci were studied among samples of 121 individuals collected from five populations in Turkey. Of 13 polymorphic microsatellite loci used, 3 new were identified in this study. The genetic differentiation among the 5 studied populations of T. triunguis was significant (p 0.001). The analysis of molecular variance (AMOVA) indicated that genetic variations occurred mainly within populations (89.7%) rather than among populations (10.3%). Structure analysis showed presence of two main groups among the Mediterranean T. triunguis populations. However genetic variations among populations were not correlated with geographic distance between the locations. Analysis of data showed that one of the populations (Dalyan) had undergone a bottleneck effect. Migration analysis indicates that T. triunguis migrates between five Mediterranean populations in Turkey. We concluded that based on our results the status of ‘critically endangered’ of T. triunguis should be maintained. Long term population genetic survey studies should be undertaken and changes in habitats of T. triunguis populations, as well as their population size and structure should be monitored for each population to be able to establish a clear strategy for protection of T. triunguis.

The formation of the Egyptian Arabic dialect area

2018 ◽  
Author(s):  
Peter Behnstedt ◽  
Manfred Woidich
Keyword(s):  
Mediterranean Coast ◽  
External Factors ◽  
Internal Factors ◽  
Dialect Contact ◽  
Historical Information ◽  
Egyptian Arabic ◽  
Transitional Area ◽  
The Mediterranean

This chapter deals with the sedentary dialects of Egypt, excluding the bedouin dialects of Sinai and the Libyan bedouin dialects on the Mediterranean coast. It attempts to combine historical information on the settlement of Arabic tribes in Egypt with accounts of present-day Egyptian dialects and those of the regions from which those tribes came, initially Yemen and the Levant, later Hejaz, and then the Maghreb. The diversity of the Egyptian Arabic dialect area is partly explained by external factors, namely different layers of arabization over centuries. It is also explained by internal factors, namely dialect contact, which implies phenomena such as hyperdialectisms. Egypt is seen as a dialect area in its own right, but one that shows phenomena of a transitional area between the Arab East and West. A case study of Alexandria deals with dialect death. The role of substrata is discussed, but is considered negligible.

Floristic patterns and ecological drivers of sand dune ecosystem along the Mediterranean coast of Egypt

2019 ◽  
Vol 33 (4) ◽  
pp. 388-411 ◽  
Author(s):  
Mohamed Abdelaal ◽  
Dalia Ahmed ◽  
Mauro Fois ◽  
Giuseppe Fenu ◽  
Gianluigi Bacchetta
Keyword(s):  
Sand Dune ◽  
Mediterranean Coast ◽  
Floristic Patterns ◽  
The Mediterranean

scholarly journals Fisheries Sustainability through Soft Multi-Use Maritime Spatial Planning and Local Development Co-Management: Potentials and Challenges in Greece

2020 ◽  
Vol 12 (5) ◽  
pp. 2026 ◽  
Author(s):  
Stella Sofia I. Kyvelou ◽  
Dimitrios G. Ierapetritis
Keyword(s):  
Spatial Planning ◽  
Local Development ◽  
Small Scale ◽  
Artisanal Fisheries ◽  
Sustainable Livelihood ◽  
Small Scale Fisheries ◽  
Island Communities ◽  
The Mediterranean ◽  
Family Based ◽  
Maritime Spatial Planning

Small-scale fisheries in the Mediterranean represent a significant part of the fisheries industry and their substantial social, economic and place attachment related role has always been acknowledged in the region. Despite the fact that this usually family-based endeavor has a vast economic impact on coastal and island communities of the sea-basin, data and insights on the Mediterranean artisanal fisheries continue to be inadequately developed and poorly integrated in the local development strategies. Thus, the aim of this research is two-fold. Firstly, it presents some data and facts on the fisheries sector in the region and secondly it explores the options of their survival, prosperity and sustainability, approaching the combination of fisheries and tourism as a small-scale and soft “multi-use” in the marine space. Greece, with a huge potential in both the fisheries and the tourism sector, was used as focus area where a co-development process was designed aiming to identify advantages/potentials and challenges/disadvantages of the co-existence of artisanal fisheries and tourism, as perceived by a series of stakeholders including the co-management schemes (Fisheries Local Action Groups, FLAGs) in the country. Key conclusion is that sustainable livelihood from small-scale fisheries depends on the correlation between fisheries and other marine activities. Despite some limitations, this can boost sustainable local development and be a unique pattern of a “win-win” and soft multi-use marine spatial planning (MSP), with economic, environmental, social, cultural and governance related benefits for the coastal communities.

scholarly journals AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3830
Author(s):  
Ahmad Almadhor ◽  
Hafiz Tayyab Rauf ◽  
Muhammad Ikram Ullah Lali ◽  
Robertas Damaševičius ◽  
Bader Alouffi ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Color Difference ◽  
Plant Diseases ◽  
Economic Losses ◽  
Production Loss ◽  
Postharvest Diseases ◽  
Tropical Regions ◽  
Guava Fruit ◽  
Tree Classifier

Plant diseases can cause a considerable reduction in the quality and number of agricultural products. Guava, well known to be the tropics’ apple, is one significant fruit cultivated in tropical regions. It is attacked by 177 pathogens, including 167 fungal and others such as bacterial, algal, and nematodes. In addition, postharvest diseases may cause crucial production loss. Due to minor variations in various guava disease symptoms, an expert opinion is required for disease analysis. Improper diagnosis may cause economic losses to farmers’ improper use of pesticides. Automatic detection of diseases in plants once they emerge on the plants’ leaves and fruit is required to maintain high crop fields. In this paper, an artificial intelligence (AI) driven framework is presented to detect and classify the most common guava plant diseases. The proposed framework employs the ΔE color difference image segmentation to segregate the areas infected by the disease. Furthermore, color (RGB, HSV) histogram and textural (LBP) features are applied to extract rich, informative feature vectors. The combination of color and textural features are used to identify and attain similar outcomes compared to individual channels, while disease recognition is performed by employing advanced machine-learning classifiers (Fine KNN, Complex Tree, Boosted Tree, Bagged Tree, Cubic SVM). The proposed framework is evaluated on a high-resolution (18 MP) image dataset of guava leaves and fruit. The best recognition results were obtained by Bagged Tree classifier on a set of RGB, HSV, and LBP features (99% accuracy in recognizing four guava fruit diseases (Canker, Mummification, Dot, and Rust) against healthy fruit). The proposed framework may help the farmers to avoid possible production loss by taking early precautions.

scholarly journals Storm Energy Flux Characterization along the Mediterranean Coast of Andalusia (Spain)

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 509 ◽  
Author(s):  
Rosa Molina ◽  
Giorgio Manno ◽  
Carlo Lo Re ◽  
Giorgio Anfuso ◽  
Giuseppe Ciraolo
Keyword(s):  
Energy Flux ◽  
Wave Climate ◽  
Mediterranean Coast ◽  
Storm Events ◽  
Cumulative Energy ◽  
Weather Forecasts ◽  
Wave Energy Flux ◽  
The Mediterranean ◽  
Definition Of ◽  
Storm Characteristics

This paper investigates wave climate and storm characteristics along the Mediterranean coast of Andalusia, for the period 1979–2014, by means of the analysis of wave data on four prediction points obtained from the European Centre for Medium-Range Weather Forecasts (ECMWF). Normally, to characterize storms, researchers use the so-called “power index”. In this paper, a different approach was adopted based on the assessment of the wave energy flux of each storm, using a robust definition of sea storm. During the investigated period, a total of 2961 storm events were recorded. They were classified by means of their associated energy flux into five classes, from low- (Class I) to high-energetic (Class V). Each point showed a different behavior in terms of energy, number, and duration of storms. Nine stormy years, i.e., years with a high cumulative energy, were recorded in 1980, 1983, 1990, 1992, 1995, 2001, 2008, 2010, and 2013.

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