Diagnosis of stream sediment quality and assessment of toxic element contamination sources in East Attica, Greece

Alexakis, Dimitrios Ε.

doi:10.1007/s12665-010-0807-9

Cited by 66 publications

(34 citation statements)

References 25 publications

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“…11). Thus, the positive loadings of As, Mn and Ni on Factor 4 appear to be related to two factors: (a) natural sources, such as leaching from the lignite intercalations, and (b) anthropogenic sources, such as leaching from the lignite tailings and application of fertilizers and agricultural chemicals (Alexakis 2008;Alexakis 2010;Kabata-Pendias and Kabata 1995;Shomar et al 2005). Arsenic, Mn and Ni could occur as adsorbed species in lignite intercalations, and lignite mining works are a common anthropogenic source of Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, SO 4 2-and Zn contamination worldwide (Dimitrakopoulos et al 2007;Kabata-Pendias 1995;Khan et al 2005;Fang et al 2003).…”

Section: Classification Of Groundwatermentioning

confidence: 99%

Groundwater quality assessment in Oropos–Kalamos basin, Attica, Greece

et al. 2011

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Groundwater samples were collected from 25 sampling sites of the Oropos-Kalamos basin aiming to describe the groundwater quality in relation to geology, lithology and anthropogenic activities of the study area. Chromium speciation analysis, factor analysis, GIS database and geochemical data proved successful tools for the identification of natural and anthropogenic factors controlling the geochemical data variability and for the identification of the redox couple controlling Cr speciation. A Durov diagram is used to classify groundwater quality into five types: Ca-HCO 3 , Mg-HCO 3 , Na-Cl, Mg-Cl and Ca-Cl. The groundwater quality of Oropos-Kalamos is influenced by various natural and anthropogenic factors. Evaluation of water quality for drinking and irrigation purposes is discussed.

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Section: Classification Of Groundwatermentioning

confidence: 99%

Groundwater quality assessment in Oropos–Kalamos basin, Attica, Greece

et al. 2011

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“…with a plain hilly relief and a population amounting to 502,348 inhabitants (Hellenic Statistical Authority 2011). The geological structure of East Attica is dominated by two main units (Alexakis 2011): (a) the crystalline basement (Palaeozoic-Upper Cretaceous) which is composed of metamorphic rocks (marbles, schists and phyllites) and (b) Neogene-Quaternary deposits consisting of clays, marls, conglomerates, ophiolite fragments, sandstones and other coarse and unconsolidated erosion-prone sediments, the latter being responsible for the high number of flash floods in the region. The climate of the area is typical Mediterranean with hot, dry summers and cool, wet winters, including a long arid period between April and September (Petropoulos et al 2012).…”

Section: Study Areamentioning

confidence: 99%

“…Fell et al 2008;Fuchs et al 2012a). The assessment includes in many cases the analysis of a complex system with the evaluation of several different parameters and factors such as building materials and techniques (Holub et al 2012), damage analysis (Fuchs et al 2007;2011;2012b) and process characteristics (Mazzorana et al 2009;. Consequently, vulnerability values range from 0 (no damages) to 1 (complete destruction) (Varnes 1984).…”

Section: Introductionmentioning

confidence: 99%

Micro-sized enterprises: vulnerability to flash floods

et al. 2016

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In the framework of risk assessment for flash floods, vulnerability is a key concept to assess the susceptibility of elements at risk. Vulnerability is defined as expected degree of loss for an element at risk due to a hazard impact of a defined magnitude and frequency. Besides the increasing number of studies on flash floods available, in-depth information on vulnerability was missing so far. In order to close this gap, a vulnerability model was created for micro-sized enterprises exposed to flash floods in Greece. This model was based on a nonlinear regression approach using data from four different events. By means of bootstrapping, different functions were fitted to the data, and a modified Weibull distribution was found to represent the relationship between process magnitude and degree of loss best. Moreover, there is no need to distinguish between different business sectors when computing vulnerability for buildings exposed. The model can be applied on a local scale and may serve as a basis for flash flood risk management.

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“…with a plain hilly relief and a population amounting to 502,348 inhabitants (Hellenic Statistical Authority 2011). The geological structure of East Attica is dominated by two main units (Alexakis 2011), (a) the crystalline basement (Paleozoic-Upper Cretareous) which is composed from metamorphic rocks (marbles, schists and phyllites) and (b) Neogene-Quaternary deposits consisting of clays, marls, conglomerates, ophiolite fragments, sandstones and other coarse and unconsolidated erosion-prone sediments. The climate of the area is typical Mediterranean with hot, dry summers and cool, wet winters, including a long arid period between April and September (Petropoulos et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Multi-vulnerability analysis for flash flood risk management

et al. 2016

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Vulnerability assessment implies a quantitative evaluation of the individual vulnerability components such as elements at risk, their physical exposure and social characteristics. Current approaches in vulnerability research are driven by a divide between social scientists who tend to view vulnerability as representing a set of socio-economic factors, and scientists who view vulnerability in terms of the degree of loss to an element at risk. To close this gap, a multi-dimensional vulnerability analysis has been undertaken focusing on flash flood hazards in Greece. To represent physical vulnerability, an empirical relation between the process intensity and the degree of loss was established. With respect to social vulnerability, an assessment was undertaken by means of empirical data collection based on a door-to-door survey. In general, both physical and social vulnerability was comparable low, which is interpreted as a result from (a) specific building regulations in Greece as well as general design principles leading to less structural susceptibility of elements at risk exposed, and (b) a relatively low economic loss leading to less social vulnerability of citizens exposed. It is shown that a combination of different perspectives of vulnerability will lead to a better understanding of perceptions of actors regarding their vulnerabilities and capacities.

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Diagnosis of stream sediment quality and assessment of toxic element contamination sources in East Attica, Greece

Cited by 66 publications

References 25 publications

Groundwater quality assessment in Oropos–Kalamos basin, Attica, Greece

Groundwater quality assessment in Oropos–Kalamos basin, Attica, Greece

Micro-sized enterprises: vulnerability to flash floods

Multi-vulnerability analysis for flash flood risk management

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