TY - GEN
T1 - A geospatial assessment of the risk of groundwater contamination from oil spill in Niger Delta, Nigeria
AU - Oyebamiji, Ajibola R.
AU - Hoque, Mohammad A.
AU - Whitworth, Malcolm
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/7/18
Y1 - 2024/7/18
N2 - As a result of bunkering, accidents and equipment failure, oil spills are common in many oil-producing regions. In the Niger Delta, majority of these spills (~70%) are caused by oil theft, illegal tampering with oil pipelines and/or artisanal refining rather than regular operational procedures and equipment failures by licensed oil companies. Here, we integrate and analyze various open-source geospatial data to assess the risk of groundwater contamination triggered by approximately 850 oil spills that occurred from 2007 to 2021. Some of these open data sources include oil spill data from Nigerian agency responsible online (National Oil Spill Detection and Response Agency, NOSDRA). For the first time, we employ a source-pathway-receptor (S-P-R) model to evaluate this risk in the oil prolific Niger Delta on a regional scale. Our resulting risk map demonstrates three main classes of risk profiles in the region, namely low, moderate and high-risk zones; and further reveals groundwater contamination risk hotspots that were not previously known.
AB - As a result of bunkering, accidents and equipment failure, oil spills are common in many oil-producing regions. In the Niger Delta, majority of these spills (~70%) are caused by oil theft, illegal tampering with oil pipelines and/or artisanal refining rather than regular operational procedures and equipment failures by licensed oil companies. Here, we integrate and analyze various open-source geospatial data to assess the risk of groundwater contamination triggered by approximately 850 oil spills that occurred from 2007 to 2021. Some of these open data sources include oil spill data from Nigerian agency responsible online (National Oil Spill Detection and Response Agency, NOSDRA). For the first time, we employ a source-pathway-receptor (S-P-R) model to evaluate this risk in the oil prolific Niger Delta on a regional scale. Our resulting risk map demonstrates three main classes of risk profiles in the region, namely low, moderate and high-risk zones; and further reveals groundwater contamination risk hotspots that were not previously known.
KW - Geospatial assessment
KW - Niger Delta
KW - Oil spill
KW - Source-pathway-receptor
UR - https://www.scopus.com/pages/publications/85200680545
U2 - 10.1007/978-3-031-51904-8_170
DO - 10.1007/978-3-031-51904-8_170
M3 - Conference contribution
AN - SCOPUS:85200680545
SN - 9783031519031
T3 - Advances in Science, Technology and Innovation
SP - 779
EP - 783
BT - Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (4th Edition) - Proceedings of 4th Euro-Mediterranean Conference for Environmental Integration EMCEI-4, 2022
A2 - Ksibi, Mohamed
A2 - Sousa, Arturo
A2 - Hentati, Olfa
A2 - Chenchouni, Haroun
A2 - Lopes Velho, José
A2 - Negm, Abdelazim
A2 - Rodrigo-Comino, Jesús
A2 - Hadji, Riheb
A2 - Chakraborty, Sudip
A2 - Ghorbal, Achraf
PB - Springer Nature
T2 - 4th Euro-Mediterranean Conference for Environmental Integration, EMCEI 2022
Y2 - 1 November 2022 through 4 November 2022
ER -
