Integrated Assessment of Coastal Vulnerability in the Bonny Bay: A Combination of Traditional Methods (Simple and AHP) and Machine Learning Approach

The coast of Cameroon, located at the bottom of the Gulf of Guinea, is confronted with coastal hazards whose magnitude, distribution, and consequences are currently largely underestimated if not poorly understood. This study aims to fill this gap by proposing an integrated approach to coastal vulner...

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Veröffentlicht in:	Estuaries and coasts Jg. 47; H. 8; S. 2670 - 2695
Hauptverfasser:	Nourdi, Njutapvoui F., Raphael, Onguene, Achab, Mohammed, Loudi, Yap, Rudant, Jean-Paul, Minette, Tomedi E., Kambia, Pouwédéou, Claude, Ntonga Jean, Romaric, Ntchantcho
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2024 Springer Nature B.V
Schlagworte:	Algorithms Analytic hierarchy process Artificial neural networks Cameroon Coastal erosion Coastal hazards Coastal processes Coastal Sciences Coastal Vulnerability in West and Central Africa coasts Earth and Environmental Science Ecology Economic factors Environment Environmental Management Freshwater & Marine Ecology Geomorphology Gulf of Guinea Hazard assessment Integrated approach Learning algorithms Machine learning Mathematical models Multiple criterion Neural networks Numerical models Observational learning Population density Population studies Predictions risk risk assessment Socioeconomic aspects Socioeconomic factors Socioeconomics Spatial data Support vector machines variance Water and Health Cameroon Gulf of Guinea Gulf of Guinea Multicriteria analysis Coastal vulnerability Machine learning
ISSN:	1559-2723, 1559-2731
Online-Zugang:	Volltext
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