ENVIRONMENTAL EARTH SCIENCES, cilt.83, sa.24, 2024 (SCI-Expanded)
This study aims to standardize the flood susceptibility index based on parameters identified from past flood events. This study investigates the effectiveness of the SPRI method in case of using standardized parameters. The Source-Pathway-Receptor Index (SPRI) was developed by Sadeghi-Pouya et al. (2017) and tested in the Mazandaran region of Iran. This study investigates the effectiveness of the SPRI method when standardized parameters are used to evaluate a region's flood susceptibility based on past flood events. To test the method's effectiveness, it is applied in Vakf & imath;kebir, Turkey, in the Trabzon province, which differs from the Mazandaran region of Iran in terms of morphometric characteristics and land use types. The aim is to test the effectiveness of the method in different fields of study and to explore the possibility of standardization when appropriate revision criteria are used for SPRI, without selecting regions with the same characteristics.The reason for not selecting an area with identical characteristics is to test the effectiveness of the method in different study areas when appropriate revision criteria for the SPRI are used and to explore the possibility of standardization. In this context, the innovative aspect of the study is the use of parameters identified based on past flood events and the importance of the verification process of these parameters. Additionally, the importance of highlighting parameters in the selection of vulnerability factors in past disasters is emphasized. The verification process of the study includes selecting standardized parameters, testing the model's effectiveness, and evaluating the applicability of the results in other study areas. The validation process of the study includes selecting standardized parameters, testing the effectiveness of the model, and evaluating the applicability of the results in other study areas.This approach can help us better understand the relationship between regional variables and susceptibility, thereby contributing to the development of more effective flood management strategies.