TY - JOUR
T1 - Investigation of Landslide and Flood Disasters by Using the Geographic Information System in Trenggalek
AU - Purwanto, M. S.
AU - Putri, Amelia Rosana
AU - Widodo, Amien
AU - Sari, Ulfa Ianati
N1 - Publisher Copyright:
© 2024 American Institute of Physics Inc.. All rights reserved.
PY - 2024/6/5
Y1 - 2024/6/5
N2 - Trenggalek Regency is an area that often experiences natural disasters, namely floods and landslides. Based on this, research was carried out, namely mapping flood and landslide-prone areas in each sub-district in Trenggalek Regency using a Remote Sensing and Geographic Information System (GIS). The data used to process flood-prone map and landslides-prone map is secondary data obtained from DEM data, soil type maps, BMKG Shapefile Ina-Geoportal data, Google Earth imagery, and Trenggalek Regency BPS data. The secondary data will be processed using ArcGis 10.7 software and produced parameter data for making flood-prone map and landslides-prone in slope, soil type, rainfall, land use, and exposed population in Trenggalek Regency. The parameter data will be used for classification, scoring, and overlay to produce a flood-prone map and landslides-prone map. The flood-prone map shows six districts with a high level of flood vulnerability, namely Tugu, Karangan, Trenggalek, Pogalan, Gandusari, and a small part of Kampak. In contrast, other districts have a moderate level of vulnerability. On the landslide-prone map, it is known that there are three sub-districts with a high level of landslide vulnerability, namely Trenggalek, Watulimo, and Panggul. In contrast, other sub-districts have an average level of landslide vulnerability. From the processing results, it can be concluded that sub-districts with a high population will be more prone to floods or landslides.
AB - Trenggalek Regency is an area that often experiences natural disasters, namely floods and landslides. Based on this, research was carried out, namely mapping flood and landslide-prone areas in each sub-district in Trenggalek Regency using a Remote Sensing and Geographic Information System (GIS). The data used to process flood-prone map and landslides-prone map is secondary data obtained from DEM data, soil type maps, BMKG Shapefile Ina-Geoportal data, Google Earth imagery, and Trenggalek Regency BPS data. The secondary data will be processed using ArcGis 10.7 software and produced parameter data for making flood-prone map and landslides-prone in slope, soil type, rainfall, land use, and exposed population in Trenggalek Regency. The parameter data will be used for classification, scoring, and overlay to produce a flood-prone map and landslides-prone map. The flood-prone map shows six districts with a high level of flood vulnerability, namely Tugu, Karangan, Trenggalek, Pogalan, Gandusari, and a small part of Kampak. In contrast, other districts have a moderate level of vulnerability. On the landslide-prone map, it is known that there are three sub-districts with a high level of landslide vulnerability, namely Trenggalek, Watulimo, and Panggul. In contrast, other sub-districts have an average level of landslide vulnerability. From the processing results, it can be concluded that sub-districts with a high population will be more prone to floods or landslides.
KW - GIS
KW - flood
KW - landslide
KW - mitigation disaster
KW - remote sensing
UR - http://www.scopus.com/inward/record.url?scp=85196177368&partnerID=8YFLogxK
U2 - 10.1063/5.0208760
DO - 10.1063/5.0208760
M3 - Conference article
AN - SCOPUS:85196177368
SN - 0094-243X
VL - 3076
JO - AIP Conference Proceedings
JF - AIP Conference Proceedings
IS - 1
M1 - 080003
T2 - 1st International Conference on Upstream Energy Technology and Digitalization, ICUPERTAIN 2022
Y2 - 6 December 2022 through 7 December 2022
ER -