Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.3390/w13010098
Lizenz creative commons licence
Titel (primär) Effect of different normalization, aggregation, and classification methods on the construction of flood vulnerability indexes"
Autor Moreira, L.L.; de Brito, M.M.; Kobiyama, M.
Quelle Water
Erscheinungsjahr 2021
Department SUSOZ
Band/Volume 13
Heft 1
Seite von art. 98
Sprache englisch
Topic T5 Future Landscapes
Keywords aggregation; classification; composite indicators; flood vulnerability; normalization
Abstract Index-based approaches are widely employed for measuring flood vulnerability. Nevertheless, the uncertainties in the index construction are rarely considered. Here, we conducted a sensitivity analysis of a flood vulnerability index in the Maquiné Basin, Southern Brazil, considering distinct normalization, aggregation, classification methods, and their effects on the model outputs. The robustness of the results was investigated by considering Spearman’s correlations, the shift in the vulnerability rank, and spatial analysis of different normalization techniques (min-max, z-scores, distance to target, and raking) and aggregation methods (linear and geometric). The final outputs were classified into vulnerability classes using natural breaks, equal interval, quantiles, and standard deviation methods. The performance of each classification method was evaluated by spatial analysis and the Akaike’s information criterion (AIC). The results presented low sensitivity regarding the normalization step. Conversely, the geometric aggregation method produced substantial differences on the spatial vulnerability and tended to underestimate the vulnerability where indicators with low values compensated for high values. Additionally, the classification of the vulnerability into different classes led to overly sensitive outputs. Thus, given the AIC performance, the natural breaks method was most suitable. The obtained results can support decision-makers in reducing uncertainty and increasing the quality of flood vulnerability assessments.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24061
Moreira, L.L., de Brito, M.M., Kobiyama, M. (2021):
Effect of different normalization, aggregation, and classification methods on the construction of flood vulnerability indexes"
Water 13 (1), art. 98