Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach

Edjere Oghenekohwiroro; Mbaoma Oliver Chinonso; Oguori-Okodaso Ejiroghene

doi:doi:10.11648/j.jher.20220802.21

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Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach

Edjere Oghenekohwiroro, Mbaoma Oliver Chinonso, Oguori-Okodaso Ejiroghene

Published in Journal of Health and Environmental Research (Volume 8, Issue 2)

Received: 4 July 2022 Accepted: 20 July 2022 Published: 29 July 2022

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Abstract

Agricultural Livestock production contributes significantly to global emission such as Ammonia (NH₃) which has a resultant effect on climatic conditions with possible secondary impact on environment and human health. There has been an increase in urban poultry farming which raises concern to residents living close to farm buildings due to the risk associated with emissions produced by farm activities. Although the presence of poultry farms in rural and urban settlements on Delta State is very evident, there is no study on the environmental impact of poultry farms. This study was carried in some major towns and villages selected from four local government areas in Delta State. Primary Data were collected using structured questionnaires that were administered to farm staff and residents in the study area with focus on information about socio-economic characteristics of the respondents, level of acceptability of poultry production, farm management experience and waste management practices. Atmospheric concentration of Ammonia and Volatile Organic Compounds were sampled in each location where poultry farm was sited using Aeroqual Series 300 automated gas sensors. Statistical analysis of respondent’s feedback suggested that farm management practices were reported to have an effect on how poultry farms impact air quality in the study area. Correlation results revealed that waste management practice significantly influenced the level of impact of poultry farms on air quality. Results from air quality analysis using in-situ data depicted that Ammonia concentration level collected across the poultry farm during investigation were above the acceptable level of 25ppm. Mofor which is highly urbanized with significant human presence and economic activities and has the poultry farm just less than 20m away from residential areas has the highest Ammonia concentration value of 594ppm which is way above accepted level of 25ppm. Also, Okuokoko which is just 20m from residential areas also have a significant level of ammonia concentration of 255ppm. Hazard ratio score which was obtained from computations using concentration of pollutants with distances of poultry farms from residential areas and then used to create continuous surface raster to show area of influence in the study areas using the interpolation method of geostatistics. Mofor, Okuokoko and Abraka which coincidentally are all located in densely populated residential areas had high hazard ratio scores. Ophori 3, Ophori 4 and Ophori 1 all rural areas had medium hazard ratios scores. Ewherhe 1, Aragba 1, Ugono 1, Ophori 2 and Ugono 2 had low hazard scores.

Published in	Journal of Health and Environmental Research (Volume 8, Issue 2)
DOI	10.11648/j.jher.20220802.21
Page(s)	159-169
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), 2022. Published by Science Publishing Group

Keywords

Atmospheric Pollution, Poultry Farming, Geostatistics, Hazard Ratio

References

[1]	Adeoye, P. A., Hasfalina, C. M., Amin, M. S. M., Thamer, A. M., & Akinbile, C. O. (2014). Environmental implication of poultry waste generation and management techniques in Minna, semi-arid region of Nigeria. Annual Research & Review in Biology, 1669-1681. agricultural soils in nigeria. Soil and Water Research 7 (1) 18-26.
[2]	Alabi, R. A., Aghimien, C. I., Osasogie, D. I., & Otasowie, G. E. (2014). Environmental Effects of Poultry Production in Edo State, Nigeria. American Journal of Experimental Agriculture, 4 (12), 1773.
[3]	Calvet, S., Cambra-Lopez, M., Estelles, F. and Torres A. G. (2011). Characterization of gas emissions from a Mediterranean broiler farm. Poultry Science, 90, 534–542. DOI: 10.3382/ps.2010-01037.
[4]	Chaokromthong, K., & Sintao, N. (2021). Sample Size Estimation using Yamane and Cochran and Krejcie and Morgan and Green Formulas and Cohen Statistical Power Analysis by G* Power and Comparisions. Apheit International Journal, 10 (2), 76-86.
[5]	Diggle, P. J., Tawn, J. A., & Moyeed, R. A. (1998). Model-based geostatistics. Journal of the Royal Statistical Society: Series C (Applied Statistics), 47 (3), 299-350.
[6]	Fournel, S., Pelletier, F., Godbout, S., Lagacé, R. and Feddes J. (2012). Greenhouse gas emissions from three cage layer housing systems. Animals, 2, 1−15. DOI: 10.3390/ani2010001.
[7]	Jiang, J., Stevenson, D. S., Uwizeye, A., Tempio, G., & Sutton, M. A. (2021). A climate-dependent global model of ammonia emissions from chicken farming. Biogeosciences, 18 (1), 135-158.
[8]	Houzer, E., & Scoones, I. (2021). Are livestock always bad for the planet? Rethinking the protein transition and climate change debate.
[9]	IPCC (2019). Final Government Distribution. Intergovernmental Panel on Climate Change (IPCC). https://www.ipcc.ch/site/assets/uploads/2019/08/2f-chapter-5 FINAL
[10]	Iyiola-Tunji, A. O., et al. "Neighbourhood Acceptability of Poultry Farms Located in Residential Areas in Nigerian Metropolis." Nigerian Journal of Animal Science 15 (2013): 206-215.
[11]	Millner, P. D. (2009). Bioaerosols associated with animal production operations. Bioresource technology, 100 (22), 5379-5385.
[12]	Musa I. W., and Kaltungo B. Y., (2017). Poultry Litter Selection, Management and Utilisation in the Tropics. Retrieved from http://www.intechopen.com/books/poultry-science-management-and-utilisation-in-the-tropics. 5/12/2021
[13]	Oduwaiye, M. O., Ogunlade, I., & Komolafe, S. E. (2017). The perception of commercial poultry farm neighbours on environmental issues associated with commercial poultry farming in Kogi and Kwara States, Nigeria. Bulletin of the Institute of Tropical Agriculture, Kyushu University, 40, 77-86.
[14]	Ojolo S. J., Oke S. A, Animasahun K., Adesuyi B. K. (2007). Utilisation of poultry, cow and kitchen waste for biogas production: A comparative analysis. Iranian Journal of Environmental Health Science and Engineering 4 (4) 223-228.
[15]	Omodele, T., Okere, I. A., Deinne, C. E., & Oladele-Bukola, M. O. (2014). GIS delineation of factors responsible for spatial distribution of poultry meat production in the Niger Delta: a case study of Delta State, Nigeria. Livestock Research for Rural Development, 26 (11), 2014.
[16]	Paramasivam, C. R., & Venkatramanan, S. (2019). An introduction to various spatial analysis techniques. GIS and geostatistical techniques for groundwater science, 23-30.
[17]	Rahmatizadeh, S., Mesgari, M. S., & Motesaddi, S. (2006). Air Pollution Modeling with Geostatistical Analysis. Proc. Map India.
[18]	Schulz J., Seedorf J., and Hartung J. (2015). Estimation of a “Safe distance between a Naturally Ventilated Broiler House and a Residential Dwelling. Institute of Animal Hygiene, Welfare and Behaviour of Farm animals, University of Vertinary Medicine, Hannover Publication (2) (17).
[19]	Sheikh, I. U., Nissa, S. S., Zaffer, B., Bulbul, K. H., Akand, A. H., Ahmed, H. A.,... & Hussain, S. A. (2018). Ammonia production in the poultry houses and its harmful effects. JVSAH, 3, 30-33.
[20]	Witkowska, D., and Sowinska, J. (2017). Identification of Microbial and Gaseous Contaminants in Poultry Farms and Developing Methods for Contamination Prevention at the Source. Poultry Science. Intech. http://www.intecopen.com/books/poultry-science.
[21]	Zhongming, Z., Linong, L., Xiaona, Y., Wangqiang, Z., & Wei, L. (2021). Effects of'Fenton-like'reactions of ferric oxalate on atmospheric oxidation processes and radiative forcing.

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APA Style

Edjere Oghenekohwiroro, Mbaoma Oliver Chinonso, Oguori-Okodaso Ejiroghene. (2022). Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach. Journal of Health and Environmental Research, 8(2), 159-169. https://doi.org/10.11648/j.jher.20220802.21

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ACS Style

Edjere Oghenekohwiroro; Mbaoma Oliver Chinonso; Oguori-Okodaso Ejiroghene. Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach. J. Health Environ. Res. 2022, 8(2), 159-169. doi: 10.11648/j.jher.20220802.21

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AMA Style

Edjere Oghenekohwiroro, Mbaoma Oliver Chinonso, Oguori-Okodaso Ejiroghene. Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach. J Health Environ Res. 2022;8(2):159-169. doi: 10.11648/j.jher.20220802.21

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@article{10.11648/j.jher.20220802.21,
  author = {Edjere Oghenekohwiroro and Mbaoma Oliver Chinonso and Oguori-Okodaso Ejiroghene},
  title = {Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach},
  journal = {Journal of Health and Environmental Research},
  volume = {8},
  number = {2},
  pages = {159-169},
  doi = {10.11648/j.jher.20220802.21},
  url = {https://doi.org/10.11648/j.jher.20220802.21},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jher.20220802.21},
  abstract = {Agricultural Livestock production contributes significantly to global emission such as Ammonia (NH3) which has a resultant effect on climatic conditions with possible secondary impact on environment and human health. There has been an increase in urban poultry farming which raises concern to residents living close to farm buildings due to the risk associated with emissions produced by farm activities. Although the presence of poultry farms in rural and urban settlements on Delta State is very evident, there is no study on the environmental impact of poultry farms. This study was carried in some major towns and villages selected from four local government areas in Delta State. Primary Data were collected using structured questionnaires that were administered to farm staff and residents in the study area with focus on information about socio-economic characteristics of the respondents, level of acceptability of poultry production, farm management experience and waste management practices. Atmospheric concentration of Ammonia and Volatile Organic Compounds were sampled in each location where poultry farm was sited using Aeroqual Series 300 automated gas sensors. Statistical analysis of respondent’s feedback suggested that farm management practices were reported to have an effect on how poultry farms impact air quality in the study area. Correlation results revealed that waste management practice significantly influenced the level of impact of poultry farms on air quality. Results from air quality analysis using in-situ data depicted that Ammonia concentration level collected across the poultry farm during investigation were above the acceptable level of 25ppm. Mofor which is highly urbanized with significant human presence and economic activities and has the poultry farm just less than 20m away from residential areas has the highest Ammonia concentration value of 594ppm which is way above accepted level of 25ppm. Also, Okuokoko which is just 20m from residential areas also have a significant level of ammonia concentration of 255ppm. Hazard ratio score which was obtained from computations using concentration of pollutants with distances of poultry farms from residential areas and then used to create continuous surface raster to show area of influence in the study areas using the interpolation method of geostatistics. Mofor, Okuokoko and Abraka which coincidentally are all located in densely populated residential areas had high hazard ratio scores. Ophori 3, Ophori 4 and Ophori 1 all rural areas had medium hazard ratios scores. Ewherhe 1, Aragba 1, Ugono 1, Ophori 2 and Ugono 2 had low hazard scores.},
 year = {2022}
}

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TY  - JOUR
T1  - Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach
AU  - Edjere Oghenekohwiroro
AU  - Mbaoma Oliver Chinonso
AU  - Oguori-Okodaso Ejiroghene
Y1  - 2022/07/29
PY  - 2022
N1  - https://doi.org/10.11648/j.jher.20220802.21
DO  - 10.11648/j.jher.20220802.21
T2  - Journal of Health and Environmental Research
JF  - Journal of Health and Environmental Research
JO  - Journal of Health and Environmental Research
SP  - 159
EP  - 169
PB  - Science Publishing Group
SN  - 2472-3592
UR  - https://doi.org/10.11648/j.jher.20220802.21
AB  - Agricultural Livestock production contributes significantly to global emission such as Ammonia (NH3) which has a resultant effect on climatic conditions with possible secondary impact on environment and human health. There has been an increase in urban poultry farming which raises concern to residents living close to farm buildings due to the risk associated with emissions produced by farm activities. Although the presence of poultry farms in rural and urban settlements on Delta State is very evident, there is no study on the environmental impact of poultry farms. This study was carried in some major towns and villages selected from four local government areas in Delta State. Primary Data were collected using structured questionnaires that were administered to farm staff and residents in the study area with focus on information about socio-economic characteristics of the respondents, level of acceptability of poultry production, farm management experience and waste management practices. Atmospheric concentration of Ammonia and Volatile Organic Compounds were sampled in each location where poultry farm was sited using Aeroqual Series 300 automated gas sensors. Statistical analysis of respondent’s feedback suggested that farm management practices were reported to have an effect on how poultry farms impact air quality in the study area. Correlation results revealed that waste management practice significantly influenced the level of impact of poultry farms on air quality. Results from air quality analysis using in-situ data depicted that Ammonia concentration level collected across the poultry farm during investigation were above the acceptable level of 25ppm. Mofor which is highly urbanized with significant human presence and economic activities and has the poultry farm just less than 20m away from residential areas has the highest Ammonia concentration value of 594ppm which is way above accepted level of 25ppm. Also, Okuokoko which is just 20m from residential areas also have a significant level of ammonia concentration of 255ppm. Hazard ratio score which was obtained from computations using concentration of pollutants with distances of poultry farms from residential areas and then used to create continuous surface raster to show area of influence in the study areas using the interpolation method of geostatistics. Mofor, Okuokoko and Abraka which coincidentally are all located in densely populated residential areas had high hazard ratio scores. Ophori 3, Ophori 4 and Ophori 1 all rural areas had medium hazard ratios scores. Ewherhe 1, Aragba 1, Ugono 1, Ophori 2 and Ugono 2 had low hazard scores.
VL  - 8
IS  - 2
ER  -

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Author Information

Edjere Oghenekohwiroro

Department of Environmental Management and Toxicology, College of Science, Federal University of Petroleum Resources, Effurun, Nigeria
Mbaoma Oliver Chinonso

Department of Environmental Management and Toxicology, College of Science, Federal University of Petroleum Resources, Effurun, Nigeria
Oguori-Okodaso Ejiroghene

Department of Environmental Management and Toxicology, College of Science, Federal University of Petroleum Resources, Effurun, Nigeria

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Plain Text BibTeX RIS

APA Style

Edjere Oghenekohwiroro, Mbaoma Oliver Chinonso, Oguori-Okodaso Ejiroghene. (2022). Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach. Journal of Health and Environmental Research, 8(2), 159-169. https://doi.org/10.11648/j.jher.20220802.21

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ACS Style

Edjere Oghenekohwiroro; Mbaoma Oliver Chinonso; Oguori-Okodaso Ejiroghene. Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach. J. Health Environ. Res. 2022, 8(2), 159-169. doi: 10.11648/j.jher.20220802.21

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AMA Style

Edjere Oghenekohwiroro, Mbaoma Oliver Chinonso, Oguori-Okodaso Ejiroghene. Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach. J Health Environ Res. 2022;8(2):159-169. doi: 10.11648/j.jher.20220802.21

Copy | Download

@article{10.11648/j.jher.20220802.21,
  author = {Edjere Oghenekohwiroro and Mbaoma Oliver Chinonso and Oguori-Okodaso Ejiroghene},
  title = {Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach},
  journal = {Journal of Health and Environmental Research},
  volume = {8},
  number = {2},
  pages = {159-169},
  doi = {10.11648/j.jher.20220802.21},
  url = {https://doi.org/10.11648/j.jher.20220802.21},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jher.20220802.21},
  abstract = {Agricultural Livestock production contributes significantly to global emission such as Ammonia (NH3) which has a resultant effect on climatic conditions with possible secondary impact on environment and human health. There has been an increase in urban poultry farming which raises concern to residents living close to farm buildings due to the risk associated with emissions produced by farm activities. Although the presence of poultry farms in rural and urban settlements on Delta State is very evident, there is no study on the environmental impact of poultry farms. This study was carried in some major towns and villages selected from four local government areas in Delta State. Primary Data were collected using structured questionnaires that were administered to farm staff and residents in the study area with focus on information about socio-economic characteristics of the respondents, level of acceptability of poultry production, farm management experience and waste management practices. Atmospheric concentration of Ammonia and Volatile Organic Compounds were sampled in each location where poultry farm was sited using Aeroqual Series 300 automated gas sensors. Statistical analysis of respondent’s feedback suggested that farm management practices were reported to have an effect on how poultry farms impact air quality in the study area. Correlation results revealed that waste management practice significantly influenced the level of impact of poultry farms on air quality. Results from air quality analysis using in-situ data depicted that Ammonia concentration level collected across the poultry farm during investigation were above the acceptable level of 25ppm. Mofor which is highly urbanized with significant human presence and economic activities and has the poultry farm just less than 20m away from residential areas has the highest Ammonia concentration value of 594ppm which is way above accepted level of 25ppm. Also, Okuokoko which is just 20m from residential areas also have a significant level of ammonia concentration of 255ppm. Hazard ratio score which was obtained from computations using concentration of pollutants with distances of poultry farms from residential areas and then used to create continuous surface raster to show area of influence in the study areas using the interpolation method of geostatistics. Mofor, Okuokoko and Abraka which coincidentally are all located in densely populated residential areas had high hazard ratio scores. Ophori 3, Ophori 4 and Ophori 1 all rural areas had medium hazard ratios scores. Ewherhe 1, Aragba 1, Ugono 1, Ophori 2 and Ugono 2 had low hazard scores.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Modelling the Potential of Poultry Farm as a Driver of Atmospheric Pollution in Delta State Using a Geo-statistical Approach
AU  - Edjere Oghenekohwiroro
AU  - Mbaoma Oliver Chinonso
AU  - Oguori-Okodaso Ejiroghene
Y1  - 2022/07/29
PY  - 2022
N1  - https://doi.org/10.11648/j.jher.20220802.21
DO  - 10.11648/j.jher.20220802.21
T2  - Journal of Health and Environmental Research
JF  - Journal of Health and Environmental Research
JO  - Journal of Health and Environmental Research
SP  - 159
EP  - 169
PB  - Science Publishing Group
SN  - 2472-3592
UR  - https://doi.org/10.11648/j.jher.20220802.21
AB  - Agricultural Livestock production contributes significantly to global emission such as Ammonia (NH3) which has a resultant effect on climatic conditions with possible secondary impact on environment and human health. There has been an increase in urban poultry farming which raises concern to residents living close to farm buildings due to the risk associated with emissions produced by farm activities. Although the presence of poultry farms in rural and urban settlements on Delta State is very evident, there is no study on the environmental impact of poultry farms. This study was carried in some major towns and villages selected from four local government areas in Delta State. Primary Data were collected using structured questionnaires that were administered to farm staff and residents in the study area with focus on information about socio-economic characteristics of the respondents, level of acceptability of poultry production, farm management experience and waste management practices. Atmospheric concentration of Ammonia and Volatile Organic Compounds were sampled in each location where poultry farm was sited using Aeroqual Series 300 automated gas sensors. Statistical analysis of respondent’s feedback suggested that farm management practices were reported to have an effect on how poultry farms impact air quality in the study area. Correlation results revealed that waste management practice significantly influenced the level of impact of poultry farms on air quality. Results from air quality analysis using in-situ data depicted that Ammonia concentration level collected across the poultry farm during investigation were above the acceptable level of 25ppm. Mofor which is highly urbanized with significant human presence and economic activities and has the poultry farm just less than 20m away from residential areas has the highest Ammonia concentration value of 594ppm which is way above accepted level of 25ppm. Also, Okuokoko which is just 20m from residential areas also have a significant level of ammonia concentration of 255ppm. Hazard ratio score which was obtained from computations using concentration of pollutants with distances of poultry farms from residential areas and then used to create continuous surface raster to show area of influence in the study areas using the interpolation method of geostatistics. Mofor, Okuokoko and Abraka which coincidentally are all located in densely populated residential areas had high hazard ratio scores. Ophori 3, Ophori 4 and Ophori 1 all rural areas had medium hazard ratios scores. Ewherhe 1, Aragba 1, Ugono 1, Ophori 2 and Ugono 2 had low hazard scores.
VL  - 8
IS  - 2
ER  -

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