Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic

Samba Koukouare Prosper; Dorim Ngarbaroum; Ewodo Mboudou Guillaume; Djim-Assal Datoloum; Danwe Raindandi

doi:doi:10.11648/j.ajep.20200904.12

| Peer-Reviewed

Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic

Samba Koukouare Prosper, Dorim Ngarbaroum, Ewodo Mboudou Guillaume, Djim-Assal Datoloum, Danwe Raindandi

Published in American Journal of Environmental Protection (Volume 9, Issue 4)

Received: 14 August 2020 Accepted: 26 August 2020 Published: 3 September 2020

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The objective of this study is to compare various changes of ecological parameters within time period prior petroleum activities and after facilities establishment in Bongor basin. Analysis of landsat 7 images from March 24 to April 5, 2000 and that of landsat 8 from February 13, 2015, before and after oil operations respectively, made it possible to extract four biophysical indices, namely: brightness index of soil, moisture index, greenness index and vegetation index. Maps of land use, hydrology and pedology were established from the analysis of multispectral parameters variations. Significant variations between two study periods were then evaluated to be either increasing, declining or stable over the entire Bongor basin and in the areas of the basin under operations. It appears that, shrub savanna has declined by 15.75% over the entire Bongor basin and by 18.90% in the areas of oil operations in Bongor basin. Floodplain and the water body have also declined by 1.59% and 0.0007% respectively over the whole Bongor basin and loss of paddy field. Agricultural area has increased by 15.15% in Bongor basin and by 14.40% in the operations area of Bongor basin, with industrial area occupying 4.49% and the expansion of urbanized area of 0.01%. Silting up of flood zone over the entire Bongor basin has increased by 0.35%. Areas under oil operations, illustrate impacts of activities on soil, trees and groundwater.

Published in	American Journal of Environmental Protection (Volume 9, Issue 4)
DOI	10.11648/j.ajep.20200904.12
Page(s)	86-96
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Oil Facilities, Impacts, Basin, Bongor, Chad

References

[1]	Abbas, I. I. (2012). An assessment of land use/cover changes in a section of Niger Delta, Nigeria. Frontiers in Science, 2 (6), 137_143.
[2]	ANONYMOUS 1, 2017. Archives of the Ministry of Energy and Petroleum 2015-2018, Environmental Impact Study, Rônier Project, Socioeconomic Report and Compensation and Resettlement Plan Provisional Document, N'Djamena. ISM CONSULT.
[3]	ANONYMOUS 2, 2017. Archives of the Ministry of Energy and Petroleum 2015-2018, Madiago Basin Exploration Project, Environmental Impact Study conducted by ISM (Chad) For CNPC International (Chad) Co., Ltd. Volume 1.
[4]	ANONYME 3, 2017 Archives of the Ministry of Energy and Petroleum 2015-2018. Ronier and Mimosa Oilfield Development Program in Bongor Basin. CNPC International (Chad) Ltd.
[5]	Atlas, 2013 Sahara observatory and Sahel Atlas of Vegetation Maps, Chad.
[6]	Boettinger, J. L., R. D. Ramsey, J. M. Bodily, N. J. Cole, S. Kienast-Brown, S. J. Nield, A. M. Saunders and A. K. Stum 2008 Landsat Spectral Data for Digital Soil Mapping.
[7]	Gao, B.-C., (1996). NDWI, a normalized difference water index for remote sensing of vegetation liquid water from space. Remote sensing of environment, 58 (3): p. 257-266.
[8]	Garrity, S., Levings, S., Burns, K. A., 1994. The Galeta oil spill I, long term effects on the structure of the mangrove fringe. Estuarine, Coastal and Shelf Science 38: 327-348.
[9]	Geerken R., Ilaiwi M., 2004, Assessment of rangeland degradation and development of a strategy for rehabilitation, Remote sensing of environment, n°90, pp 490-504.
[10]	Hallberg, G. R., Hoyer, B. E. and Rango, A. 1973"Application of ERTS-1 Imagery to Flood Inondation Mappins'', Proceedings of the Symposium on Significant Results Obtained from the Earth Resoursces Technology Satellite-1, NASA, SP-327, pp. 745-753.
[11]	Harker, G. R. 1974 "The Delineation of Flood Plains Using Automatically Processed Multispectral Data", Technical Report RSC-60 Texas A&M University, Remote Sensing Center, College Station, Texas, August.
[12]	Kloff Sandra -Wicks Clive (2005) Environmental management of offshore oil and oil shipping.
[13]	Kumpula T, Forbes B C, Stammler F and Meschtyb N (2012) Dynamics of a coupled system: multi-resolution remote sensing in assessing social-ecological responses during 25 years of gas ﬁeld development in Arctic Russia Remote Sensing 4 1046–68.
[14]	Kumpula T et al. (2011) Land use and land cover change in Arctic Russia: ecological and social implications of industrial development Glob. Environ. Change 21 550–62.
[15]	La Rovere, E. L. (1995) Environmental policy and energy planning, PPE/COPPE/UFRJ, Rio de Janeiro.
[16]	Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce, J. W., et al. (2001). The causes of land-use and land-cover change: Moving beyond the myths. Global Environmental Change, 11 (2), 261–269.
[17]	Loveland T. R., & Acevedo W. (2006) Land cover change in the Eastern United States, US Geological survey. https://landcovertrends.usgs.gov/east/regionalSummary.html.
[18]	Lu D., Mausel P., Brondizio E. & Moran E., 2003: Change detection, techniques. International Journal of remote sensing, 25 (12): 23652407.
[19]	Mama V. J. -Oloukoi J., 2003: Evaluation of the accuracy of analogue treatments of satellite images in the study of the dynamics of land use. Remote sensing, 3 (5): 429-441.
[20]	Mmom, P. C., & Fred-Nwagwu, F. W. (2013). Analysis of landuse and landcover change around the city of Port Harcourt, Nigeria. Global Advanced Research Journal of Geography and Regional Planning, 2 (5), 076_086.
[21]	Moskalenko NG (2013) Impact of climate warming on vegetation cover and permafrost in West Siberia northern Taiga Nat. Sci. 5 144–8.
[22]	Myers, N. (1984). The primary Source: Tropical Forests and Our Future. New York: Norton.
[23]	Oloukoi, J., Vincent Joseph MAMA and Fulbert Bernadin AGBO, 2006, Modelling of land use dynamics in the Benign Hills Department, Remote Sensing, 2006, Vol. 6, No. 4, p. 305-323.
[24]	PANA, 2010 and 2013. National Climate Change Adaptation Programme (PANA-Chad), UNDP/UNFCCC.
[25]	Qin Yu, Howard E Epstein, Ryan Engstrom, Nikolay Shiklomanov (2015) Land cover and land use changes in the oil and gas regions of Northwestern Siberia under changing climatic conditions.
[26]	Saheed Matemilola, Oludare Hakeem Adedeji and Evidence Chinedu Enoguanbhor (2017) Land Use/Land Cover Change in Petroleum-Producing Regions of Nigeria DOI: 10.1016/B978-0-12-809399-3.00017-3.
[27]	Soro, G., E. K. Ahoussi, E. K. Kouadio, T. D. Soro, S. Oulare, M. B. Saley, N. Soro and J. Biemi, Contribution of remote sensing for spatial-temporal mapping of land use dynamics evolution in the Lakes region (Central Ivory Cost), Africa SCIENCE, 2014 10 (3) p: 146-160.
[28]	Tucker, C. J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 1979, 8, 127–150.
[29]	Unger, Daniel; Hung, I-Kuai; Farrish, Kenneth W.; and Dans, Darinda, (2015) "Quantifying Land Cover Change Due to Petroleum Exploration and Production in the Haynesville Shale Region Using Remote Sensing".
[30]	Yves Barthélemy (1998). Deforestation in Amazon oil exploitation zone: causes, balance sheet, outlook Cuyabeno case (equator), D.E.S.S "management of Agro-Sylvo-Pastoral systems in tropical zones".
[31]	Zubair A. O, (2006). “Change Detection in Land Use and land Cover using Remote Sensing data and GIS: A case study of Ilorin and its environs in Kwara State”.

Cite This Article

Plain Text BibTeX RIS

APA Style

Samba Koukouare Prosper, Dorim Ngarbaroum, Ewodo Mboudou Guillaume, Djim-Assal Datoloum, Danwe Raindandi. (2020). Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic. American Journal of Environmental Protection, 9(4), 86-96. https://doi.org/10.11648/j.ajep.20200904.12

Copy | Download

ACS Style

Samba Koukouare Prosper; Dorim Ngarbaroum; Ewodo Mboudou Guillaume; Djim-Assal Datoloum; Danwe Raindandi. Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic. Am. J. Environ. Prot. 2020, 9(4), 86-96. doi: 10.11648/j.ajep.20200904.12

Copy | Download

AMA Style

Samba Koukouare Prosper, Dorim Ngarbaroum, Ewodo Mboudou Guillaume, Djim-Assal Datoloum, Danwe Raindandi. Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic. Am J Environ Prot. 2020;9(4):86-96. doi: 10.11648/j.ajep.20200904.12

Copy | Download

@article{10.11648/j.ajep.20200904.12,
  author = {Samba Koukouare Prosper and Dorim Ngarbaroum and Ewodo Mboudou Guillaume and Djim-Assal Datoloum and Danwe Raindandi},
  title = {Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic},
  journal = {American Journal of Environmental Protection},
  volume = {9},
  number = {4},
  pages = {86-96},
  doi = {10.11648/j.ajep.20200904.12},
  url = {https://doi.org/10.11648/j.ajep.20200904.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20200904.12},
  abstract = {The objective of this study is to compare various changes of ecological parameters within time period prior petroleum activities and after facilities establishment in Bongor basin. Analysis of landsat 7 images from March 24 to April 5, 2000 and that of landsat 8 from February 13, 2015, before and after oil operations respectively, made it possible to extract four biophysical indices, namely: brightness index of soil, moisture index, greenness index and vegetation index. Maps of land use, hydrology and pedology were established from the analysis of multispectral parameters variations. Significant variations between two study periods were then evaluated to be either increasing, declining or stable over the entire Bongor basin and in the areas of the basin under operations. It appears that, shrub savanna has declined by 15.75% over the entire Bongor basin and by 18.90% in the areas of oil operations in Bongor basin. Floodplain and the water body have also declined by 1.59% and 0.0007% respectively over the whole Bongor basin and loss of paddy field. Agricultural area has increased by 15.15% in Bongor basin and by 14.40% in the operations area of Bongor basin, with industrial area occupying 4.49% and the expansion of urbanized area of 0.01%. Silting up of flood zone over the entire Bongor basin has increased by 0.35%. Areas under oil operations, illustrate impacts of activities on soil, trees and groundwater.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic
AU  - Samba Koukouare Prosper
AU  - Dorim Ngarbaroum
AU  - Ewodo Mboudou Guillaume
AU  - Djim-Assal Datoloum
AU  - Danwe Raindandi
Y1  - 2020/09/03
PY  - 2020
N1  - https://doi.org/10.11648/j.ajep.20200904.12
DO  - 10.11648/j.ajep.20200904.12
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 86
EP  - 96
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20200904.12
AB  - The objective of this study is to compare various changes of ecological parameters within time period prior petroleum activities and after facilities establishment in Bongor basin. Analysis of landsat 7 images from March 24 to April 5, 2000 and that of landsat 8 from February 13, 2015, before and after oil operations respectively, made it possible to extract four biophysical indices, namely: brightness index of soil, moisture index, greenness index and vegetation index. Maps of land use, hydrology and pedology were established from the analysis of multispectral parameters variations. Significant variations between two study periods were then evaluated to be either increasing, declining or stable over the entire Bongor basin and in the areas of the basin under operations. It appears that, shrub savanna has declined by 15.75% over the entire Bongor basin and by 18.90% in the areas of oil operations in Bongor basin. Floodplain and the water body have also declined by 1.59% and 0.0007% respectively over the whole Bongor basin and loss of paddy field. Agricultural area has increased by 15.15% in Bongor basin and by 14.40% in the operations area of Bongor basin, with industrial area occupying 4.49% and the expansion of urbanized area of 0.01%. Silting up of flood zone over the entire Bongor basin has increased by 0.35%. Areas under oil operations, illustrate impacts of activities on soil, trees and groundwater.
VL  - 9
IS  - 4
ER  -

Copy | Download

Author Information

Samba Koukouare Prosper

Department of Hydrocarbons Exploitation, Higher National Institute of Petroleum of Mao, Mao, Chad; National Higher School of Engineering of Maroua, University of Maroua, Maroua, Cameroon
Dorim Ngarbaroum

Department of Hydrocarbons Exploitation, Higher National Institute of Petroleum of Mao, Mao, Chad; National Higher School of Engineering of Maroua, University of Maroua, Maroua, Cameroon
Ewodo Mboudou Guillaume

National Higher School of Engineering of Maroua, University of Maroua, Maroua, Cameroon
Djim-Assal Datoloum

National Research Center for Development (CNRD), Ministry of Higer Education, N’Djamena, Chad
Danwe Raindandi

National Higher School of Engineering of Maroua, University of Maroua, Maroua, Cameroon

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Samba Koukouare Prosper, Dorim Ngarbaroum, Ewodo Mboudou Guillaume, Djim-Assal Datoloum, Danwe Raindandi. (2020). Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic. American Journal of Environmental Protection, 9(4), 86-96. https://doi.org/10.11648/j.ajep.20200904.12

Copy | Download

ACS Style

Samba Koukouare Prosper; Dorim Ngarbaroum; Ewodo Mboudou Guillaume; Djim-Assal Datoloum; Danwe Raindandi. Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic. Am. J. Environ. Prot. 2020, 9(4), 86-96. doi: 10.11648/j.ajep.20200904.12

Copy | Download

AMA Style

Samba Koukouare Prosper, Dorim Ngarbaroum, Ewodo Mboudou Guillaume, Djim-Assal Datoloum, Danwe Raindandi. Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic. Am J Environ Prot. 2020;9(4):86-96. doi: 10.11648/j.ajep.20200904.12

Copy | Download

@article{10.11648/j.ajep.20200904.12,
  author = {Samba Koukouare Prosper and Dorim Ngarbaroum and Ewodo Mboudou Guillaume and Djim-Assal Datoloum and Danwe Raindandi},
  title = {Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic},
  journal = {American Journal of Environmental Protection},
  volume = {9},
  number = {4},
  pages = {86-96},
  doi = {10.11648/j.ajep.20200904.12},
  url = {https://doi.org/10.11648/j.ajep.20200904.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20200904.12},
  abstract = {The objective of this study is to compare various changes of ecological parameters within time period prior petroleum activities and after facilities establishment in Bongor basin. Analysis of landsat 7 images from March 24 to April 5, 2000 and that of landsat 8 from February 13, 2015, before and after oil operations respectively, made it possible to extract four biophysical indices, namely: brightness index of soil, moisture index, greenness index and vegetation index. Maps of land use, hydrology and pedology were established from the analysis of multispectral parameters variations. Significant variations between two study periods were then evaluated to be either increasing, declining or stable over the entire Bongor basin and in the areas of the basin under operations. It appears that, shrub savanna has declined by 15.75% over the entire Bongor basin and by 18.90% in the areas of oil operations in Bongor basin. Floodplain and the water body have also declined by 1.59% and 0.0007% respectively over the whole Bongor basin and loss of paddy field. Agricultural area has increased by 15.15% in Bongor basin and by 14.40% in the operations area of Bongor basin, with industrial area occupying 4.49% and the expansion of urbanized area of 0.01%. Silting up of flood zone over the entire Bongor basin has increased by 0.35%. Areas under oil operations, illustrate impacts of activities on soil, trees and groundwater.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Application of Remote Sensing for Impacts Assessment of Petroleum Activities and Facilities in Bongor Basin, Chad Republic
AU  - Samba Koukouare Prosper
AU  - Dorim Ngarbaroum
AU  - Ewodo Mboudou Guillaume
AU  - Djim-Assal Datoloum
AU  - Danwe Raindandi
Y1  - 2020/09/03
PY  - 2020
N1  - https://doi.org/10.11648/j.ajep.20200904.12
DO  - 10.11648/j.ajep.20200904.12
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 86
EP  - 96
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20200904.12
AB  - The objective of this study is to compare various changes of ecological parameters within time period prior petroleum activities and after facilities establishment in Bongor basin. Analysis of landsat 7 images from March 24 to April 5, 2000 and that of landsat 8 from February 13, 2015, before and after oil operations respectively, made it possible to extract four biophysical indices, namely: brightness index of soil, moisture index, greenness index and vegetation index. Maps of land use, hydrology and pedology were established from the analysis of multispectral parameters variations. Significant variations between two study periods were then evaluated to be either increasing, declining or stable over the entire Bongor basin and in the areas of the basin under operations. It appears that, shrub savanna has declined by 15.75% over the entire Bongor basin and by 18.90% in the areas of oil operations in Bongor basin. Floodplain and the water body have also declined by 1.59% and 0.0007% respectively over the whole Bongor basin and loss of paddy field. Agricultural area has increased by 15.15% in Bongor basin and by 14.40% in the operations area of Bongor basin, with industrial area occupying 4.49% and the expansion of urbanized area of 0.01%. Silting up of flood zone over the entire Bongor basin has increased by 0.35%. Areas under oil operations, illustrate impacts of activities on soil, trees and groundwater.
VL  - 9
IS  - 4
ER  -

Copy | Download