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Multi-hazard susceptibility model based on high spatial resolution data-a case study of Sali settlement (Dugi otok, Croatia).
Siljeg, Ante; Siljeg, Silvija; Milosevic, Rina; Maric, Ivan; Domazetovic, Fran; Panda, Lovre.
Afiliación
  • Siljeg A; University of Zadar, Department for Geography, Franje Tudmana 24i, Zadar, Croatia.
  • Siljeg S; Center for Geospatial Technologies, University of Zadar, Zadar, Croatia.
  • Milosevic R; University of Zadar, Department for Geography, Franje Tudmana 24i, Zadar, Croatia.
  • Maric I; Center for Geospatial Technologies, University of Zadar, Zadar, Croatia.
  • Domazetovic F; University of Zadar, Department of Ecology, Agriculture & Aquaculture, Trg Knezava Viseslava 9, Zadar, Croatia. rmilosevi@unizd.hr.
  • Panda L; Center for Geospatial Technologies, University of Zadar, Zadar, Croatia. rmilosevi@unizd.hr.
Article en En | MEDLINE | ID: mdl-37926802
ABSTRACT
The world has been facing an increase in various natural hazards. The coastal regions are recognized as one of the most vulnerable due to high population pressure and climate change intensity. Mediterranean countries have one of the most burnable ecosystems in the world, one of the most exposed to pluvial floods, and have the highest erosion rates within the EU. Therefore, the aim of this study was to develop the first multihazard susceptibility model in Croatia for the Sali settlement (island of Dugi otok). The creation of a multi-hazard susceptibility model (MHSM) combined the application of geospatial technology (GST) with a local perception survey. The methodology consisted of two main

steps:

(1) creating individual hazard susceptibility models (soil erosion, wildfires, pluvial floods), and (2) overall hazard susceptibility modeling. Multicriterial GIS analyses and the Analytical Hierarchy Process were used to create individual hazard models. Criteria used (32) to create models are derived from very-high-resolution (VHR) models. Two versions of MHSM are created 1) all criteria with equal weighting coefficients and 2) weight coefficients determined based on public perception. According to MHSM 1, most of the research (58%) area is moderately susceptible to multiple hazards. Highly and very highly susceptible areas are 27% of the drainage basin and are mostly located near roads and houses. MHSM 2 reveals similar results to MHSM 1. The public perceives that the research area is the most susceptible to wildfires. The wildfire ignition risk is ranked as moderate (3.00) with a standard deviation of 1.16. Pluvial flood risk is ranked low (2.78), with a standard deviation of 1.15. The risk of soil is most inferior (2.24) with a standard deviation of 0.91. The the most significant difference between public perception and the GIS-MCDA model of hazard susceptibility is related to soil erosion. However, the accuracy of the soil erosion model was confirmed by ROC curves based on recent traces of soil erosion in the research area. The proposed methodological framework of multi-hazard susceptibility modeling can be applied, with minor modifications, to other Mediterranean countries.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Croacia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Croacia