Machine learning-based landslide susceptibility assessment for shallow landslide mitigation in the Gumitir Mountain Area, Indonesia

Entin Hidayah; Mokhammad Farid Maruf; Siti Norafida Jusoh; Joko Widodo; Afif Amiluddin

doi:10.3986/AGS.14449

Avtorji

Entin Hidayah University of Jember, Department of Civil Engineering, Jember, Indonesia https://orcid.org/0000-0002-1233-6850
Mokhammad Farid Maruf University of Jember, Department of Civil Engineering, Jember, Indonesia https://orcid.org/0000-0002-5715-935X
Siti Norafida Jusoh Universiti Teknologi Malaysia, Faculty of Civil Engineering, Johor Bahru, Johor, Malaysia https://orcid.org/0000-0002-7132-0883
Joko Widodo Research Center for Geoinformatics, National Research and Innovation Agency (BRIN), Bogor, Indonesia https://orcid.org/0000-0002-0552-5100
Afif Amiluddin Universitas Mochammad Sroedji, Civil Engineering Department, Engineering Faculty, Jember, Indonesia https://orcid.org/0009-0000-8600-0922

DOI:

https://doi.org/10.3986/AGS.14449

Ključne besede:

landslide susceptibility assessment, logistic regression, random forest modeling, geospatial analysis, slope stability, hydrological factors, mountainous area

Povzetek

Ponavljajoči se plazovi, ki se na območju gore Gumitir na Vzhodni Javi sprožajo zaradi dežja, ogrožajo prometno povezavo med mestoma Jember in Banyuwangi. Namen članka je razviti strategije za zmanjšanje tveganja nastanka plazov na podlagi analize vplivnih dejavnikov in napovedi plazovitih območij z modeli logistične regresije in naključnih gozdov. Podatkovni niz, sestavljen iz 96 lokacij plazov in 180 lokacij brez plazov, je bil naključno razdeljen v množico za učenje (70 %) in testiranje (30 %) modelov. Z modelom naključnih gozdov so bili doseženi boljši rezultati kot z modelom logistične regresije, pri čemer so bili kot najvplivnejši dejavniki opredeljeni naklon, nadmorska višina, akumulacija toka, indeks topografske vlažnosti, normaliziran diferencialni vegetacijski indeks in ekspozicija. Rezultati podpirajo ciljno usmerjeno in učinkovito zmanjševanje tveganja nastanka plazov.

Prenosi

Podatki o prenosih še niso na voljo.

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