4.6 Article

Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments

期刊

WATER
卷 13, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/w13060758

关键词

flooding; flash-floods; bivariate statistics; fuzzy multicriteria decision-making; small catchments; Romania

资金

  1. Romanian Ministry of Education and Research, CNCS-UEFISCDI, within PNCDI III [PN-III-P1-1.1-PD-2019-0424]

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The study examined the susceptibility to flash-floods and flooding in the Izvorul Dorului River basin in Romania using ensemble models. The FAHP-WOE model demonstrated the best performance, identifying areas with medium, high, and very high torrential susceptibility, as well as estimating flood susceptibility. Approximately 25% of the total delimited area was found to have high and very high flood susceptibility.
In the present study, the susceptibility to flash-floods and flooding was studied across the Izvorul Dorului River basin in Romania. In the first phase, three ensemble models were used to determine the susceptibility to flash-floods. These models were generated by a combination of three statistical bivariate methods, namely frequency ratio (FR), weights of evidence (WOE), and statistical index (SI), with fuzzy analytical hierarchy process (FAHP). The result obtained from the application of the FAHP-WOE model had the best performance highlighted by an Area Under Curve-Receiver Operating Characteristics Curve (AUC-ROC) value of 0.837 for the training sample and another of 0.79 for the validation sample. Furthermore, the results offered by FAHP-WOE were weighted on the river network level using the flow accumulation method, through which the valleys with a medium, high, and very high torrential susceptibility were identified. Based on these valleys' locations, the susceptibility to floods was estimated. Thus, in the first stage, a buffer zone of 200 m was delimited around the identified valleys along which the floods could occur. Once the buffer zone was established, ten flood conditioning factors were used to determine the flood susceptibility through the analytical hierarchy process model. Approximately 25% of the total delimited area had a high and very high flood susceptibility.

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