<p>Coasts are subject to multiple natural hazards, which are increasing nowadays. Coastal flooding and erosion are some of the most common hazards affecting coastlines. Being aware of the vulnerability of coasts is important to achieve integrated coastal management. The coastal vulnerability index (CVI) is a common index used to assess coastal vulnerability because it is easily calculated. However, given that its calculation includes numerous manual steps, it requires considerable time, which is often unavailable, to produce accurate and utilizable results. In this work, we developed a ModelBuilder model by using the tools provided by ArcGIS Pro (ESRI). Through this model, we automatized most of the steps involved in CVI calculation. We applied the ModelBuilder model in the northern Peloponnese, for which the CVI has already been calculated in three other works. We were thus able to assess the effectiveness of our ModelBuilder model. Our results demonstrated that through the ModelBuilder, most of the processes could effectively be automatized without problems, and our results are consistent with the findings of previous works in our study area.</p>

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Development of a ModelBuilder for Automatizing the Calculation of Coastal Vulnerability Index: Application in the Northern Corinthian Gulf

  • Andreas Tsokos,
  • Vassiliki Tsoukala,
  • Evangelos Spyrou,
  • Alexandros Liaskos,
  • Niki Evelpidou

摘要

Coasts are subject to multiple natural hazards, which are increasing nowadays. Coastal flooding and erosion are some of the most common hazards affecting coastlines. Being aware of the vulnerability of coasts is important to achieve integrated coastal management. The coastal vulnerability index (CVI) is a common index used to assess coastal vulnerability because it is easily calculated. However, given that its calculation includes numerous manual steps, it requires considerable time, which is often unavailable, to produce accurate and utilizable results. In this work, we developed a ModelBuilder model by using the tools provided by ArcGIS Pro (ESRI). Through this model, we automatized most of the steps involved in CVI calculation. We applied the ModelBuilder model in the northern Peloponnese, for which the CVI has already been calculated in three other works. We were thus able to assess the effectiveness of our ModelBuilder model. Our results demonstrated that through the ModelBuilder, most of the processes could effectively be automatized without problems, and our results are consistent with the findings of previous works in our study area.