Open AccessCharacteristics of Landslide and Rainfall Areas in Majalengka Regency, West Java Province
Author(s) -
S Fathaya,
Eko Kusratmoko,
Ratna Saraswati
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/884/1/012054
Subject(s) - landslide , polygon (computer graphics) , lithology , cluster (spacecraft) , hazard , java , physical geography , hydrology (agriculture) , geography , environmental science , geology , geomorphology , geotechnical engineering , ecology , biology , frame (networking) , telecommunications , paleontology , computer science , programming language
Majalengka Regency is one of the districts with a high landslide hazard in West Java Province. They are mostly affected by heavy rainfall or prolonged rain. This study aims to classify landslide events in 2018-2019 based on physical factors consisting of slopes, soil types, lithology, land use, and vegetation density using the K-Means Clustering analysis method. To analyze the characteristics of rainfall that triggered landslides in 2018-2019 using the Thiessen polygon method. The results showed that the clustering of landslide events in 2018-2019 in Majalengka Regency was formed five clusters with the highest rainfall on the D-Day average in cluster 5, which is 49 mm/day. The highest average cumulative rainfall 3 days before the landslide events was in cluster 4, which is 80 mm/day. The highest average cumulative rainfall 5 days before the landslide events was in cluster 3 is 112 mm/day. The highest average cumulative rainfall 10 days before the landslide events was in cluster 1, which is 174 mm/day.