Identification of flood prone areas based on Geographic Information System (GIS): a case study of Buntulia District, Pohuwato Regency, Gorontalo Province

0Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

This article is free to access.

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

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free