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América Latina y el Caribe
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Título : | Risk assessment of unlined oil pits leaking into groundwater in the Ecuadorian Amazon : a modified GIS-DRASTIC approach |
Palabras clave : | Risk assessment;Overlay index;Amazon;Groundwater;Oil pollution;Land use planning |
Descripción : | This study evaluates the risk of groundwater contamination from unlined oil pits, in the Northern Ecuadorian Amazon (NEA). Applying spatial analysis, several maps were provided for its integration in land use planning, public health improvement and future site-specific investigations. Two main maps were produced: (1) a vulnerability indexed map using a modified DRASTIC model and (2) a hazard map based on the past (1995-1997) and present (2018) contamination using a weighted density equation. The hazard was derived from hydrocarbon contained in oil pits associated with a cost-distance analysis to obtain different maximum distance ranges (MDR), to model the surface of potentially impacted groundwater. The results indicate a total calculated hydrocarbons of 39 052 tons. A MDR from 500-10 000 km was retained to map aquifers at risk, the maximum surface potentially at risk covers 13% of the NEA, while 83% of the area represents low to medium-low vulnerability. This study led to several recommendations, such as the level of suitability of the available information, and what gaps should be filled to improve future research. A surface of 271-766.5 km in the 500-2000-m distance range should be prioritised for finer scale risk assessment. |
URI : | https://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/169921 |
Otros identificadores : | https://www.documentation.ird.fr/hor/fdi:010085111 oai:ird.fr:fdi:010085111 Durango-Cordero J., Saqalli M., Ferrant Sylvain, Bonilla S., Maurice Laurence, Arellano P., Elger A.. Risk assessment of unlined oil pits leaking into groundwater in the Ecuadorian Amazon : a modified GIS-DRASTIC approach. 2022, 139, p. 102628 [15 p.] |
Aparece en las colecciones: | Institut de Recherche pour le Développement - IRD - Cosecha |
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