Debris flow susceptibility assessment based on information value and machine learning coupling method: from the perspective of sustainable development
Accurately assessing the susceptibility of debris flow disasters is of great significance for reducing the cost of disaster prevention and mitigation, as well as disaster losses. Machine learning (ML) models have been widely used in the susceptibility assessment of debris flow disasters. However, th...
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Veröffentlicht in: | Environmental science and pollution research international 2023-08, Vol.30 (37), p.87500-87516 |
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