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

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...

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Bibliographic Details
Published in:Journal of artificial societies and social simulation 2019-03, Vol.22 (2)
Main Authors: Houssou, Noudéhouénou Lionel Jaderne, Cordero, Juan Durango, Bouadjio-Boulic, Audren, Morin, Lucie, Maestripieri, Nicolas, Ferrant, Sylvain, Belem, Mahamadou, Pelaez Sanchez, Jose Ignacio, Saenz, Melio, Lerigoleur, Emilie, Elger, Arnaud, Gaudou, Benoit, Maurice, Laurence, Saqalli, Mehdi
Format: Article
Language:English
Subjects:
Accidents
Colonization
Computer Science
Crops
Demography
Environment and Society
Environmental Sciences
Extraction
Geography
Humanities and Social Sciences
Infrastructure
Interdisciplinary aspects
Modeling and Simulation
Oil pollution
Petroleum
Pollution
Rivers
Roads & highways
Rural areas
Rural communities
Soils
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Summary: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.
ISSN:1460-7425
1460-7425
DOI:10.18564/jasss.3957