CREATION OF A FLOOD RISK MODEL FOR THE JACUÍPE RIVER BASIN (AL/PE) USING THE ANALYTICAL HIERARCHICAL PROCESS METHOD - AHP

4Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Objective: To identify and evaluate the areas susceptible to flooding in the Jacuípe River basin using the variable reclassification model and the AHP method combined with the GIS environment. Theoretical framework: This study was based on a theoretical review of environmental risk issues, where the main causes of flooding include soil characteristics, land use and occupation patterns, and geomorphological elements such as hypsometry and slope. Method: It is based on a hierarchical analytical process of environmental factors, data collection using geoprocessing techniques and field observations. The information was acquired through the Annual Mapping of Land Use and Land Cover in Brazil Project (MapBiomas), the Brazilian Agricultural Company (Embrapa) and the United States Geological Survey (USGS). Results and conclusion: The results indicate very high risks in the watershed in regions on the banks of water bodies, characterized by flat terrain, low altitudes and minor slopes. Most of these locations are susceptible to flooding in the event of a flood on the main river. Implications of the research: The creation of a flood risk model can be of great socio-economic and environmental value to municipalities, serving as a basis to help managers adopt structural and emergency measures to reduce hydrological risks. Originality/value: This research is innovative in the Jacuípe River basin and has scientific relevance due to its originality in representing and approaching the data and the discussions presented.

Cite

CITATION STYLE

APA

Cavalcante de Lima, A. C., Faccioli, G. G., & Medeiros, F. C. (2024). CREATION OF A FLOOD RISK MODEL FOR THE JACUÍPE RIVER BASIN (AL/PE) USING THE ANALYTICAL HIERARCHICAL PROCESS METHOD - AHP. Revista de Gestao Social e Ambiental, 18(4). https://doi.org/10.24857/rgsa.v18n4-054

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