Search

Your search keyword '"oil spill pollution"' showing total 3 results
Start Over Descriptor "oil spill pollution" Publisher hal ccsd
3 results on '"oil spill pollution"'

1. Heterogeneous Data Mining for a Semi-Quantitative Risk Assessment of Oil Contamination from Multiple-Sources in The Ecuadorian Amazon

Author

Durango, Juan, Saqalli, Mehdi, Maurice, Laurence, Lerigoleur, Emilie, Maestripieri, Nicolas, Elger, Arnaud, Laboratoire Ecologie Fonctionnelle et Environnement (LEFE), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT), Géographie de l'environnement (GEODE), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Géosciences Environnement Toulouse (GET), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), ANR-13-SENV-0003,MONOIL,Monitoring environnemental, santé, société et pétrole en Equateur(2013), Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Université Toulouse - Jean Jaurès (UT2J)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)

Subjects
GIS & Spatial Analyses, Contamination, Spatial Statistics, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, Oil spill pollution, Ecuador, [SDE.ES]Environmental Sciences/Environmental and Society
Abstract

International audience; The North Ecuadorian Amazon (NEA) is one of the most biodiverse places per surface area on Earth. However, its richness and importance is threatened by complex human activities driven by extensive agriculture development and oil exploration and extraction, directly responsible for forest clearing. Furthermore this extractive industry has long been regarded as polluting the environment and causing cancer and other diseases to the local population. Two periods of extractive practices and technology implementation can be well differentiated (before environmental regulation 1965-2000 vs. after regulations 2001-to present). GIS data and production inventories of potential polluting infrastructures due to spilling and infiltration (i.e. drill cuttings pits, oil wells, flare stacks, torches and pipes) for more than 45 years, have been collected. These data are not geographically homogeneous and cover only 10-20% of the total number of infrastructures that represent a risk for the environment. Our aim is to estimate the spatial influence of toxic emissions from these sources. The spatial statistical analysis of these data will allow us to identify patterns for a spatially-explicit model of risk. First results show that contamination differs geographically, while oil infrastructure density and population overlap. Oil practices in absence of environmental regulations can led to higher contamination than permitted by actual Ecuadorian regulations’ standards. A linear regression between cumulative oil contamination and the density of oil infrastructures is observed, notably concerning the number of wells (r²=0.83) and the length of pipes.These findings could help defining key parameters to facilitate future decision-making processes for environment and population protection in highly biodiverse biomes.

Published
2016

2. Assessing health risk using regional mappings based on local perceptions: A comparative study of three different hazards in three sites: Laos, Tunisia and Ecuador

Author

Nicolas Maestripieri, Mehdi Saqalli, Bénédicte Veyrac-Ben Ahmed, Sylvia BECERRA, Marguerite Munoz, Ribolzi Olivier, Géographie de l'environnement (GEODE), Université Toulouse - Jean Jaurès (UT2J)-Centre National de la Recherche Scientifique (CNRS), Géosciences Environnement Toulouse (GET), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), European Cancer and Environment Research Institute, Appel à Projets Exploratoires (PEPS 2012) MIASMES : Maladies liées aux Inondations : Approche Socio-spatiale sur les affluents du MEkong et du Sông-Hồng (Fleuve Rouge)., ANR-13-SENV-0003,MONOIL,Monitoring environnemental, santé, société et pétrole en Equateur(2013), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)

Subjects
Tunisia, Lao PDR, [SHS.SOCIO]Humanities and Social Sciences/Sociology, Mapping, Contamination, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, Oil spill pollution, Perception, Ecuador, [SHS.GEO]Humanities and Social Sciences/Geography, [SDE.ES]Environmental Sciences/Environmental and Society
Abstract

International audience; While human societies remain exposed to natural hazards, anthropogenic dynamics have dramatically increased the exposure to human-originated hazards. Meanwhile, vulnerabilities to such hazards can be managed, controlled or reduced thanks to public policies, through environmental control, sanitation and medical infrastructures and practices (Becerra, 2012). However, assessing such vulnerabilities faces difficulties. Besides the evaluation of hazards themselves through environmental and epidemiological measurements, evaluations and modelisations (Ghorbel et al. 2010), evaluating human vulnerabilities and capacities to face such hazards requires to understand the perceptions of the population exposed: these perceptions condition the local acknowledgement of such dangers but also the differences among the concerned public stakeholders and population for such an evaluation.

Published
2014

3. Coastal system vulnerability to oil spills pollution: Noirmoutier Island

Author

Paul Fattal, Mohamed Maanan, Ion Tillier, Nicolas Rollo, Marc Robin, Patrick Pottier, Littoral, Environnement, Télédétection, Géomatique (LETG - Nantes), Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), and Université de Nantes (UN)-Université de Nantes (UN)

Subjects
decision support, vulnerability, Oil spill pollution, [SHS.GEO]Humanities and Social Sciences/Geography, risk management, geographical information system
Abstract

International audience; Over the last 30 years, oil spills have contributed significantly to coastal and marine pollution, causing disturbance of the coastal environment. This recurrent hazard has increasingly been taken into account through prevention plans in Coastal Zones Integrated Management. Numerous studies have attempted to analyse the effects of oil pollution, in particular to identify those areas that are the most vulnerable. Although several studies have considered both environmental and socioeconomic issues, most of them have focused only on environmental vulnerability. The aim of our research is to formalise an alternative approach to map global vulnerability, using both environmental and socioeconomic factors. This article describes and discusses the methodology used to identify the critical variables required to assess coastal vulnerability to oil spills. The first part introduces previous research and identifies the parameters that have been used to map this type of vulnerability. The study area is presented in the second part of the paper. The third part presents the method we used to compute a spatialised vulnerability index that is based on a multicriteria analysis including both environmental and socioeconomic parameters. The final part of this paper describes and discusses the results of the implementation of this method on Noirmoutier Island located off the west coast of France. The resulting synthetic mapping for risk monitoring, carried out using a geographical information system, seems to be a relevant and useful complementary tool to improve the management of oil spill crises.

Published
2010

Catalog

Books, media, physical & digital resources
See catalog results