Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment

Across the world, the flood magnitude is expected to increase as well as the damage caused by their occurrence. In this case, the prediction of areas which are highly susceptible to these phenomena becomes very important for the authorities. The present study is focused on the evaluation of flood po...

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Veröffentlicht in:	Journal of environmental management 2020-07, Vol.265, p.110485-110485, Article 110485
Hauptverfasser:	Costache, Romulus, Pham, Quoc Bao, Avand, Mohammadtaghi, Thuy Linh, Nguyen Thi, Vojtek, Matej, Vojteková, Jana, Lee, Sunmin, Khoi, Dao Nguyen, Thao Nhi, Pham Thi, Dung, Tran Duc
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bivariate statistics Ensemble models Flood susceptibility Floods Machine learning Neural Networks, Computer ROC Curve Romania
Online-Zugang:	Volltext
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