Synchronizing Histories of Exposure and Demography: The Construction of an Agent-Based Model of the Ecuadorian Amazon Colonization and Exposure to Oil Pollution Hazards

Houssou, Noudéhouénou Lionel Jaderne and Cordero, Juan Durango and Bouadjio-Boulic, Audren and Morin, Lucie and Maestripieri, Nicolas and Ferrant, Sylvain and Belem, Mahamadou and Pelaez Sanchez, Jose Ignacio and Saenz, Melio and Lerigoleur, Emilie and Elger, Arnaud and Gaudou, Benoit and Maurice, Laurence and Saqalli, Mehdi (2019) Synchronizing Histories of Exposure and Demography: The Construction of an Agent-Based Model of the Ecuadorian Amazon Colonization and Exposure to Oil Pollution Hazards. Journal of Artificial Societies and Social Simulation, 22 (2). p. 1. ISSN 1460-7425

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Abstract

Since the 1970s, the northern part of the Amazonian region of Ecuador has been colonized with the support of intensive oil extraction that has opened up roads and supported the settlement of people from Outside Amazonia. These dynamics have caused important forest cuttings but also regular oil leaks and spills, contaminating both soil and water. The PASHAMAMA Model seeks to simulate these dynamics on both environment and population by examining exposure and demography over time thanks to a retro-prospective and spatially explicit agent-based approach. The aim of the present paper is to describe this model, which integrates two dynamics: (a) Oil companies build roads and oil infrastructures and generate spills, inducing leaks and pipeline ruptures affecting rivers, soils and people. This infrastructure has a probability of leaks, ruptures and other accidents that produce oil pollution affecting rivers, soils and people. (b) New colonists settled in rural areas mostly as close as possible to roads and producing food and/or cash crops. The innovative aspect of this work is the presentation of a qualitative-quantitative approach explicitly addressed to formalize interdisciplinary modeling when data contexts are almost always incomplete.

Item Type: Article
Subjects: Journal Eprints > Computer Science
Depositing User: Managing Editor
Date Deposited: 07 Oct 2023 09:37
Last Modified: 07 Oct 2023 09:37
URI: http://repository.journal4submission.com/id/eprint/2486

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