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Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China

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Published in:Geoenvironmental Disasters
Format: Online Article RSS Article
Published: 2026
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container_title Geoenvironmental Disasters
description
discipline_display Environmental Studies
discipline_facet Environmental Studies
format Online Article
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genre Journal Article
id rss_article:91860
institution FRELIP
journal_source_facet Geoenvironmental Disasters
last_indexed 2026-06-20T21:44:45.448Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China
title_alt Evaluación basada en aprendizaje automático de la susceptibilidad futura a flujos de escombros bajo escenarios de precipitación CMIP6 en la provincia de Qinghai, China
Évaluation basée sur l'apprentissage automatique de la susceptibilité future aux coulées de débris sous les scénarios de précipitations CMIP6 dans la province du Qinghai, Chine
Avaliação baseada em aprendizado de máquina da suscetibilidade futura a fluxos de detritos sob cenários de precipitação CMIP6 na Província de Qinghai, China
title_auth Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China
title_es_txt Evaluación basada en aprendizaje automático de la susceptibilidad futura a flujos de escombros bajo escenarios de precipitación CMIP6 en la provincia de Qinghai, China
title_fr_txt Évaluation basée sur l'apprentissage automatique de la susceptibilité future aux coulées de débris sous les scénarios de précipitations CMIP6 dans la province du Qinghai, Chine
title_full Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China
title_fullStr Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China
title_full_unstemmed Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China
title_pt_txt Avaliação baseada em aprendizado de máquina da suscetibilidade futura a fluxos de detritos sob cenários de precipitação CMIP6 na Província de Qinghai, China
title_short Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China
title_sort machine learning-based assessment of future debris flow susceptibility under cmip6 precipitation scenarios in qinghai province, china
topic Environmental Studies
General
Environmental Studies
url https://link.springer.com/article/10.1186/s40677-026-00393-5