Abstract
This study aims to identify flood-prone areas in the Buntulia district. The types of data used in this study are primary data and secondary data. Data analysis techniques used to determine flood-prone areas are scoring and overlaying of three parameters, namely, slope maps, rainfall maps, and land use maps. The results of this study are to determine flood-prone areas based on Geographic information systems (GIS) in Buntulia District, Pohuwato Regency, Gorontalo Provinsi. To find out the number of flood-affected areas, it is carried out using a mapping of flood-prone areas, so that it is divided into four levels of flood vulnerability, namely the very vulnerable level of 1275 hectares (2.93%), the vulnerable level of 4493 hectares (10.35%), moderate level vulnerable area of 21406 hectares (49.31%), and the level of the non-vulnerable area of 16221 hectares (37.37%).
Cite
CITATION STYLE
Asari, W., Maryati, S., & Koem, S. (2022). Identification of flood prone areas based on Geographic Information System (GIS): a case study of Buntulia District, Pohuwato Regency, Gorontalo Province. In IOP Conference Series: Earth and Environmental Science (Vol. 986). IOP Publishing Ltd. https://doi.org/10.1088/1755-1315/986/1/012021
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