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

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.

2019 ◽  
Author(s):  
Salvador Gil-Guirado ◽  
Alfredo Pérez-Morales ◽  
Francisco Lopez-Martinez

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.


2021 ◽  
Author(s):  
Lea Fink ◽  
Volker Matthias ◽  
Matthias Karl ◽  
Ronny Petrik ◽  
Elisa Majamäki ◽  
...  

<p>Shipping has major contribution to emissions of air pollutants like NOx and SO2 and the global maritime transport volumes are projected to increase significantly. The Mediterranean Sea is a region with dense ship traffic. Air quality observations in many cities along the Mediterranean coast indicate high levels of NO2 and particulate matter with significant contributions from ship emissions.<br>To quantify the current impact of shipping on air pollution, models for ship emissions and atmospheric transport can be applied, but model predictions may differ from observational data. To determine how well regional scale chemistry transport models simulate pollutant concentrations, the model outputs from several regional scale models were compared against each other and to measured data.<br>In the framework of the EU H2020 project SCIPPER, ship emission model STEAM and the regional scale models CMAQ and CHIMERE model were applied on a modelling domain covering the Mediterranean Sea. Modeling results were compared to air quality observations at coastal locations. The impact of shipping in the Mediterranean Sea was extracted from the model excluding shipping emissions.</p><p> </p>


2013 ◽  
Vol 6 (4) ◽  
pp. 5489-5551
Author(s):  
S. Turquety ◽  
L. Menut ◽  
B. Bessagnet ◽  
A. Anav ◽  
N. Viovy ◽  
...  

Abstract. This paper describes a new model for the calculation of daily, high-resolution (up to 1 km) fire emissions, developed in the framework of the APIFLAME project (Analysis and Prediction of the Impact of Fires on Air quality ModEling). The methodology relies on the classical approach, multiplying the burned area by the fuel load and the emission factors specific to the vegetation burned. Emissions can be calculated on any user-specified domain, horizontal grid, and list of trace gases and aerosols, providing input information on the burned area (location, extent) and emission factors of the targeted species are available. The strength of the proposed algorithm is its high resolution and its flexibility in terms of domain and input data (including the vegetation classification). The modification of the default values and databases proposed does not require changes in the core of the model. The code may be used for the calculation of global or regional inventories. However, it has been developed and tested more specifically for Europe and the Mediterranean area. In this region, the burning season extends from June to October in most regions, with generally small but frequent fires in Eastern Europe, Western Russia, Ukraine and Turkey, and large events in the Mediterranean area. The resulting emissions represents a significant fraction of the total yearly emissions (on average amounting to ~30% of anthropogenic emissions for PM2.5, ~20% for CO). The uncertainty on the daily carbon emissions was estimated to ~100% based on an ensemble analysis. Considering the large uncertainties on emission factors, the potential error on the emissions for the various pollutants is even larger. Comparisons to other widely used emission inventories shows good correlations but discrepancies of a factor of 2–4 on the amplitude of the emissions, our results being generally on the higher end.


2014 ◽  
Vol 7 (2) ◽  
pp. 587-612 ◽  
Author(s):  
S. Turquety ◽  
L. Menut ◽  
B. Bessagnet ◽  
A. Anav ◽  
N. Viovy ◽  
...  

Abstract. This paper describes a new model for the calculation of daily, high-resolution (up to 1 km) fire emissions, developed in the framework of the APIFLAME (Analysis and Prediction of the Impact of Fires on Air quality ModEling) project. The methodology relies on the classical approach, multiplying the burned area by the fuel load consumed and the emission factors specific to the vegetation burned. Emissions can be calculated on any user-specified domain, horizontal grid, and list of trace gases and aerosols, providing input information on the burned area (location, extent), and emission factors of the targeted species are available. The applicability to high spatial resolutions and the flexibility to different input data (including vegetation classifications) and domains are the main strength of the proposed algorithm. The modification of the default values and databases proposed does not require any change in the core of the model. The code may be used for the calculation of global or regional inventories. However, it has been developed and tested more specifically for Europe and the Mediterranean area. A regional analysis of fire activity and the resulting emissions in this region is provided. The burning season extends from June to October in most regions, with generally small but frequent fires in eastern Europe, western Russia, Ukraine and Turkey, and large events in the Mediterranean area. The resulting emissions represent a significant fraction of the total yearly emissions (on average amounting to ~ 30% of anthropogenic emissions for PM2.5, ~ 20% for CO). The uncertainty regarding the daily carbon emissions is estimated at ~ 100% based on an ensemble analysis. Considering the large uncertainties regarding emission factors, the potential error on the emissions for the various pollutants is even larger. Comparisons with other widely used emission inventories show good correlations but discrepancies of a factor of 2–4 in the amplitude of the emissions, our results being generally on the higher end.


2009 ◽  
Vol 9 (6) ◽  
pp. 1823-1834 ◽  
Author(s):  
A. Sahal ◽  
J. Roger ◽  
S. Allgeyer ◽  
B. Lemaire ◽  
H. Hébert ◽  
...  

Abstract. A field survey was organized on the French Mediterranean coasts to investigate the effects of the tsunami induced by the 21 May 2003 Boumerdès-Zemmouri (Algeria) earthquake (Mw=6.9). The results show that eight harbours were affected by important sea level disturbances that caused material loss. Unfortunately, the low sampling rate of the French tide gage records (10 min) does not allow for a proper evaluation of the tsunami wave amplitudes since these amplitudes were probably underestimated in the harbours where these sensors are installed. The survey brings to light regional and local contrasts among the harbours' hydrological responses to the tsunami. To better understand these contrasts, a numerical simulation of the sea level elevations induced by the tsunami was conducted. The simulation showed a certain correlation between the field results and the wave amplification along the coast; however it underestimated the observed phenomena. Another simulation was then conducted using high resolution bathymetric grids (space step of 3 m) centred more specifically on 3 neighbouring harbours, however, again the simulation results did not match the amplitudes recorded through the observations. In order to better understand the wave amplification mechanisms inside each grid, a Gaussian signal was virtually broadcasted from the source to the harbours. Virtual sensors identified the periods which are stimulated – or not – by the arrival of the signal in each grid. Comparing these periods with those previously recorded emphasizes the proper period of each waterbody. This paper evaluates the limitations of such a study, focusing specifically on (1) the importance of having accurate and precise data about the source (the lack of information about the signal amplitude leads to an underestimation of the tsunami, thus reproducing only a fourth to a third of the observed phenomenon), (2) the need for networked tide gages with high resolution records and short sampling rates, and (3) the importance of conducting field studies immediately after a tsunami occurs.


2016 ◽  
Vol 17 (2) ◽  
pp. 440 ◽  
Author(s):  
N. SOKOLOVER ◽  
P. D. TAYLOR ◽  
M. ILAN

The impact of global warming on the composition of marine biotas is increasing, underscoring the need for better baseline information on the species currently present in given areas. Little is known about the bryozoan fauna of Israel; the most recent publication concerning species from the Mediterranean coast was based on samples collected in the 1960s and 1970s. Since that time, not only have the species present in this region changed, but so too has our understanding of bryozoan taxonomy. Here we use samples collected during the last decade to identify 47 bryozoan species, of which 15 are first records for the Levantine basin. These include one new genus and species (Crenulatella levantinensis gen. et. sp. nov.), two new species (Licornia vieirai sp. nov. and Trematooecia mikeli sp. nov.), and two species that may be new but for which available material is inadequate for formal description (Reteporella sp. and Thalamoporella sp.). In addition, Conopeum ponticum is recorded for the first time from the Mediterranean Sea. Non-indigenous species make up almost one-quarter of the 47 species identified. All of the non-indigenous species are native to tropical and subtropical regions, implying a change of the Levant bryozoan biota from a temperate to a more tropical state, probably related to both higher temperature and salinity and to the opening of the Suez Canal connecting the Red Sea and the Eastern Mediterranean.  


2018 ◽  
Vol 25 (6) ◽  
pp. 923-941 ◽  
Author(s):  
Pilar Barra ◽  
Bartolomé Marco ◽  
Cristina Cachero

The objective of this research is to measure the economic impact of language tourism in a medium-sized Spanish city, Alicante, which has been traditionally considered a sun and sand destination on the Mediterranean coast. This analysis aims to highlight the importance of developing a tourism diversification strategy and the desirability of promoting alternative forms of tourism. This investigation demonstrates the significant economic impact that language tourism has on a consolidated tourism destination as Alicante, which is higher, in relative terms, than the impact generated by conventional tourism. Based on the findings, the implications of the study are also discussed.


2021 ◽  
Author(s):  
Jose A. Jiménez ◽  
Maria-Carmen Llasat ◽  
Rut Romero ◽  
Isabel Caballero ◽  
Herminia Valdemoro ◽  
...  

<p>Risk assessments in coastal zones usually address the maritime and continental domains separately by considering marine hazards and hydrometeorological extreme drivers individually. Although this may be reasonable for many coastlines, there are environments where this uncoupled approach will underestimate their overall risk to climate hazards and, in consequence, will affect the development of efficient adaptation plans. One of these environments is the Mediterranean, due to the magnitude of individual climate hazards, the frequency of compound events (it has been identified as one of the European areas with the highest probability of compound flooding), as well as the level of exposure along its coastal zone.</p><p>In this sense, there is an increasing number of studies addressing compound risks in the coastal zone, with most of them dealing with compound flooding. In this work, we adopt a complementary approach to help coastal managers to identify hotspot areas by classifying the coastal zone into management units of homogeneous cumulative compound risk. To this end, a Compound Coastal Zone Risk index has been developed which integrates the risks associated with the impact of marine and extreme hydrometeorological hazards. Here the risk is defined in basis of three components characterizing hazards, vulnerability and exposure, with the first two ones being specific to the intrinsic characteristics of each subdomain (marine and hydro-meteorological), whereas the last one characterizes exposed values of the coastal zone, being this area affected by both hazards.</p><p>The marine composite sub-index assesses the magnitude of hazards in terms of a sea-storm indicator (in terms of waves and storm-surge conditions), background decadal-scale shoreline evolution (to characterize erosion hazards), and SLR (both inundation and erosion). This is combined with an indicator that accounts for the “coastal” system vulnerability, which includes the geomorphology, beach width (which acts as buffer zone) and the existence of accommodation space at a given time, since both variables are t-dependent.</p><p>The hydrometeorological composite sub-index assesses the magnitude of hazards in terms of a rainfall indicator (to characterize short very-intense episodes, cumulative daily values and extreme events associated to a given probability), maximum wind gust and lightning density. This is combined with an indicator that accounts for the “terrestrial” system vulnerability, similar to the flash flood potential index.</p><p>All these indicators are assessed at the smallest possible spatial scale to be as accurate as possible. Then, they are integrated at municipal scale to characterize each management unit with a representative value which permits to classify them in terms of their integrated risk while retaining information on the partial contribution of each component. The final work will present the compound index in detail, as well as the partial sub-indexes, and it will be applied along about 800 km of the Spanish Mediterranean coast to identify the most risky stretches to cumulative compound climate hazards. The index is validated by comparing obtained values with damage data recorded along the study area after the impact of marine and hydrometeorological hazards.</p><p>This work has been developed in the framework of the M-CostAdapt project (FEDER/MCIU-AEI/CTM2017-83655-C2-1-2-R).</p>


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