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Citation:
　Andreas Tsokos,Vassiliki Tsoukala,Evangelos Spyrou,et al.Development of a ModelBuilder for Automatizing the Calculation of Coastal Vulnerability Index: Application in the Northern Corinthian Gulf[J].Journal of Marine Science and Application,2025,(5):1049-1063.[doi:10.1007/s11804-025-00669-6]
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Development of a ModelBuilder for Automatizing the Calculation of Coastal Vulnerability Index: Application in the Northern Corinthian Gulf

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Title:
Development of a ModelBuilder for Automatizing the Calculation of Coastal Vulnerability Index: Application in the Northern Corinthian Gulf
Author(s):
Andreas Tsokos1;  Vassiliki Tsoukala1;  Evangelos Spyrou2;  Alexandros Liaskos2;  Niki Evelpidou2
Affilations:
Author(s):
Andreas Tsokos1;  Vassiliki Tsoukala1;  Evangelos Spyrou2;  Alexandros Liaskos2;  Niki Evelpidou2
1. National Technical University of Athens, Department of Civil Engineering, Laboratory of Harbor Works, Athens 15780, Greece;
2. National and Kapodistrian University of Athens, Department of Geology and Geoenvironment, Athens 15784, Greece
Keywords:
Shoreline changes|Coastal vulnerability index|ModelBuilder|ArcGIS pro|Automatization
分类号:
-
DOI:
10.1007/s11804-025-00669-6
Abstract:
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.

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Memo

Memo:
Received date:2024-6-17;Accepted date:2024-9-7。<br>Corresponding author:Niki Evelpidou,E-mail:evelpidou@geol.uoa.gr
Last Update: 2025-10-24