Remote sensing-based assessment of tsunami vulnerability and risk in Alexandria, Egypt

Eckert, Sandra; Jelínek, Róbert; Zeug, Gunter; Elisabeth, Krausmann

doi:10.1016/j.apgeog.2011.08.003

Cited by 70 publications

(45 citation statements)

References 17 publications

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“…Expert knowledge about the weight scale of each parameter is a necessity, so that every parameter was weighted not equally since the individual importance of each parameter. Other research on tsunami vulnerability in Alexandria was applied all parameter in equal weight due to the limitation of knowledge regarding to the study area [17].…”

Section: Discussionmentioning

confidence: 99%

Assessing Tsunami Vulnerability Areas Using Satellite Imagery and Weighted Cell-Based Analysis

Guntur¹,

Sambah²,

Miura³

et al. 2017

GEOMATE

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ABSTRACT:The application of multi-criteria analysis followed by weighted cell-based processing is one of the methods for tsunami vulnerability mapping. In this study, vulnerability due to tsunami disaster in coastal area of East Java Province Indonesia was carried out. Appropriate input criteria were derived from Digital Elevation Model data, satellite remote sensing and survey data. The criteria applied were elevation, slope, coastal proximity, river proximity, coastal type, and land use. Five classes of vulnerability were defined from low to high vulnerability. Digital Elevation Model from Aster GDEM was applied for creating elevation and slope map, while ALOS satellite image was used in land use mapping. Moreover, vector map of East Java coastal area was used for creating coastal type, coastal proximity, and river proximity map. Analytical hierarchy process was applied in the calculation of parameter's weight, and it described that elevation was the highest weight. The area that identified as slightly high and high class of tsunami vulnerability spread in the coastal area which has a lower elevation and predict as inundated area. Most of the area was urban areas with low vegetation density. The high vulnerability areas were mostly found in the coastal area with the sloping coast type. The result presented here can aid as a basic data for city planning related to disaster mitigation and for the evacuation process and management strategy during disaster.

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Section: Discussionmentioning

confidence: 99%

Assessing Tsunami Vulnerability Areas Using Satellite Imagery and Weighted Cell-Based Analysis

Guntur¹,

Sambah²,

Miura³

et al. 2017

GEOMATE

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“…and the vulnerability conditions that may exacerbate the tsunami impacts (UNDP, 2011;UNU-EHS, 2009;Villagrán de León, 2008;González-Riancho et al, 2014;Sugimoto et al, 2003;Sato et al, 2003;Koshimura et al, 2006;Jonkman et al, 2008;Strunz et al, 2011;Post et al, 2009;Dwyer et al, 2004;Tinti et al, 2011;Dall'Osso et al, 2009;Cruz et al, 2011;Grezio et al, 2012;Koeri, 2009;Eckert et al, 2012;etc. ).…”

Section: P González-riancho Et Al: the Selection Of Tsunami Human Vmentioning

confidence: 99%

“…human, ecological, socioeconomic, infrastructural) or on an integrated approach when dealing with coupled human and natural systems. Most of the vulnerability assessments are carried out by means of the definition of a set of indices and indicators which are normalized, weighted, aggregated and classified through a variety of methods to geographically represent the information (OECD, 2008;Alliance Development Works, 2012;Damm, 2010;Eckert et al, 2012;González-Riancho et al, 2014;etc.). The selected vulnerability indicators differ among authors and are based on previous literature, scientific knowledge and advances, lessons learned from tsunami disasters, the study scope and the availability of information.…”

Section: P González-riancho Et Al: the Selection Of Tsunami Human Vmentioning

confidence: 99%

A contribution to the selection of tsunami human vulnerability indicators: conclusions from tsunami impacts in Sri Lanka and Thailand (2004), Samoa (2009), Chile (2010) and Japan (2011)

González-Riancho

Aliaga

Hettiarachchi

et al. 2015

Nat. Hazards Earth Syst. Sci.

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Abstract. After several tsunami events with disastrous consequences around the world, coastal countries have realized the need to be prepared to minimize human mortality and damage to coastal infrastructures, livelihoods and resources. The international scientific community is striving to develop and validate methodologies for tsunami hazard and vulnerability and risk assessments. The vulnerability of coastal communities is usually assessed through the definition of sets of indicators based on previous literature and/or post-tsunami reports, as well as on the available data for the study site. The aim of this work is to validate, in light of past tsunami events, the indicators currently proposed by the scientific community to measure human vulnerability, to improve their definition and selection as well as to analyse their validity for different country development profiles. The events analysed are the 2011 Great Tohoku tsunami, the 2010 Chilean tsunami, the 2009 Samoan tsunami and the 2004 Indian Ocean tsunami. The results obtained highlight the need for considering both permanent and temporal human exposure, the former requiring some hazard numerical modelling, while the latter is related to site-specific livelihoods, cultural traditions and gender roles. The most vulnerable age groups are the elderly and children, the former having much higher mortality rates. Female mortality is not always higher than male mortality and not always related to dependency issues. Higher numbers of disabled people do not always translate into higher numbers of victims. Besides, it is clear that mortality is not only related to the characteristics of the population but also of the buildings. A high correlation has been found between the affected buildings and the number of victims, being very high for completely damaged buildings. Distance to the sea, building materials and expected water depths are important determining factors regarding the type of damage to buildings.

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“…The ''data collection'' class describes the methods and sources used to gather information about the vulnerability of a certain place or system. The assessments differ in techniques for data collection, such as remote sensing (Eckert et al 2011), mapping (Boruff et al 2005;Collins et al 2009), available socioeconomic data as input for multivariate statistics (Cutter et al 2000(Cutter et al , 2003, focus groups (Brooks et al 2005) or content analysis (Turner et al 2003). Methods of inquiry that focus on in-depth understanding of human behavior and its reasons are labeled as ''qualitative.''…”

Section: Operational Approachmentioning

confidence: 99%

VuWiki: An Ontology-Based Semantic Wiki for Vulnerability Assessments

Khazai

Kunz-Plapp

Büscher

et al. 2014

Int J Disaster Risk Sci

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Three decades of vulnerability research have generated a complex and growing body of knowledge. The concept of vulnerability, as well as its implementation in vulnerability assessments, is used in various disciplines and contexts. Correspondingly, a multitude of ideas and frameworks about how to conceptualize and measure vulnerability exists. To provide a structured representation of vulnerability, we have set up an ontology-based semantic wiki for reviewing and representing vulnerability assessments (www.vuwiki.org). Based on a survey of 55 vulnerability assessment studies, we first developed an ontology as an explicit reference system for describing vulnerability assessments. The ontology was then implemented in a semantic wiki which allows for the classification and annotation of vulnerability assessment. The resulting semantic wiki, VuWiki, does not aim at ''synthesizing'' a holistic and overarching model of vulnerability, but at (1) providing-both scientists and practitioners-with a uniform ontology as a reference system; (2) providing easy and structured access to the knowledge field of vulnerability assessments with the possibility for any user to retrieve assessments using specific research criteria; and (3) serving as a collaborative knowledge platform that allows for the active participation of those generating and using the knowledge represented in the vulnerability wiki.

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Remote sensing-based assessment of tsunami vulnerability and risk in Alexandria, Egypt

Cited by 70 publications

References 17 publications

Assessing Tsunami Vulnerability Areas Using Satellite Imagery and Weighted Cell-Based Analysis

Assessing Tsunami Vulnerability Areas Using Satellite Imagery and Weighted Cell-Based Analysis

A contribution to the selection of tsunami human vulnerability indicators: conclusions from tsunami impacts in Sri Lanka and Thailand (2004), Samoa (2009), Chile (2010) and Japan (2011)

VuWiki: An Ontology-Based Semantic Wiki for Vulnerability Assessments

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