CH4 emission model from the waste of Sus Domesticus and Gallus Domesticus in Nigerian local farms: environmental implications and prospects Authors Joshua Olusegun Okeniyi Mechanical Engineering Department Covenant University Uchechuckwu Eric Obiajulu Mechanical Engineering Department Covenant University Adedamola Oluwafisayo Ogunsanwo Mechanical Engineering Department Covenant University Nosadeba Wisdom Odiase Mechanical Engineering Department Covenant University Elizabeth Toyin Okeniyi Petroleum Engineering Department Covenant University Original Article
First Online: 20 March 2012 Received: 23 July 2011 Accepted: 04 February 2012 DOI :
10.1007/s11027-012-9365-7
Cite this article as: Okeniyi, J.O., Obiajulu, U.E., Ogunsanwo, A.O. et al. Mitig Adapt Strateg Glob Change (2013) 18: 325. doi:10.1007/s11027-012-9365-7
Abstract The potential of CH4 (methane) greenhouse gas (GHG) emissions based on a model of prevailing behavioural pattern of livestock waste management in Nigerian local farms was investigated in this paper. Livestock waste, from Sus domesticus , pig, and Gallus domesticus , poultry, were employed as substrates in the study which uses water from a fish rearing farm as the matrix medium to simulate wastewater pool/river environment. A substrate to fish-water ratio of 1:3 by mass was used in developed laboratory-size digesting reactor system with U-tube water displacement, to facilitate volumetric readings of gas production, for each mix of the livestock waste. Volumetric readings from these, at ambient temperature conditions in the retention time of 32 days, follow the Normal probability density function, in accordance with Kolmogorov-Smirnov goodness-of-fit criteria. These readings showed that CH4 -containing gas as high as 67.3 × 10−3 dm3 was produced on the 14th day from the pig and 86.8 × 10−3 dm3 on the 13th day from the poultry substrates. The overall CH4 -containing gas productions of 255.4 × 10−3 dm3 /kg and 323.58 × 10−3 dm3 /kg were observed for the pig and the poultry substrates, respectively. A 70% scale-up analysis, modelled from these results, for the nation yield potential emission of about 4 kg CH4 (that could be as potent as 84 kg CO2 -equivalent) annually. The environmental implications on global warming and possible prospects of recoverable domestic benefits from the waste through the adoption of sustainable policy of livestock waste managements for mitigating the CH4 emissions in Nigerian local farms are presented.
Keywords Bio-digester reactor system GHG emission modelling Livestock waste Normal PDF Sustainable waste management
References Abushammala MFM, Basri NEA, Basri H, Kadhum AAH, El-Shafie AH (2010) Estimation of methane emission from landfills in Malaysia using the IPCC 2006 FOD model. J Appl Sci 10(15):1603–1609
CrossRef Adelekan BA, Oluwatoyinbo FI, Bamgboye AI (2010) Comparative effects of undigested and anaerobically digested poultry manure on the growth and yield of maize (Zea mays, L). African J Environ Sci Technol 4(2):100–107
Amiri MJ, Eslamian SS (2010) Investigation of climate change in Iran. J Environ Sci Technol 3(4):208–216
CrossRef Anomohanran O (2011) Estimating the greenhouse gas emission from petroleum product combustion in Nigeria. J Appl Sci 11(17):3209–3214
CrossRef Arshad M, Rasool MT, Ahmad MI (2002) Kolmogorov Smirnov test for generalized Pareto distribution. J Appl Sci 2:488–490
CrossRef Azam F, Farooq S (2005) Agriculture and global warming: evapotranspiration as an important factor compared to CO
2 . Pakistan J Biol Sci 8(11):1630–1638
CrossRef Bracmort K, Ramseur JL, McCarthy JE, Folger P, Marples DJ (2011) Methane capture: options for greenhouse gas emission reduction. congressional research service report for congress, 7–5700,
www.crs.gov , R40813
Copeland C (2007) Air quality issues and animal agriculture: a primer. In: Tolenhoff KB (ed) Animal agriculture research progress. Nova, New York, p 1
Energy Commission of Nigeria–United Nations Development Program (ECN-UNDP) (2005) Renewable Energy Master Plan (REMP), Final Report. Energy Commission of Nigeria, Abuja
Fagbenle RO, Katende J, Ajayi OO, Okeniyi JO (2011) Assessment of wind energy potential of two sites in North-East, Nigeria. Renew Energ 36:1277–1283
CrossRef Ford JD, Pearce T, Prno J, Duerden F, Ford LB, Beaumier M, Smith T (2010) Perceptions of climate change risks in primary resource use industries: a survey of the Canadian mining sector. Reg Environ Change 10:65–81
CrossRef Ghorbani M, Koocheki AR, Motallebi M (2008) Estimating the greenhouse gases emission and the most important factors in dairy farms (Case Study Iran). J Appl Sci 8(11):4468–4471
Gibbons JD, Chakraborti S (2003) Nonparametric statistical inference, Revised and Expanded, 4th edn. Marcel Dekker, Inc, New York
Greben HA, Oelofse SHH (2009) Unlocking the resource potential of organic waste: a South African perspective. Waste Manag Res 27:676–684
CrossRef Intergovernmental Panel on Climate Change (IPCC) (2000) Penman, J, Kruger D, Galbally I, Hiraishi T, Nyenzi B, Emmanuel S, Buendia L, Hoppaus R, Martinsen T, Meijer J, Miwa K, Tanabe K (eds) Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories, 2000 IPCC XVI/Doc 10(IIV2000)
Iwueze IS (2007) Some implications of truncating the N(1,
σ
2 ) distribution to the left at zero. J Appl Sci 7(2):189–195
CrossRef Krishnamoorthy K (2006) Handbook of statistical distributions with applications. Taylor & Francis Group, LLC
CrossRef Mirzaei-Aghsaghali A, Maheri-Sis N (2011) Factors affecting mitigation of methane emission from ruminants I: feeding strategies. Asian J Animal Vet Advances 6(9):888–908
CrossRef Montgomery DC, Runger GC (2003) Applied statistics and probability for engineers, 3rd edn. Wiley, New York
Ojolo SJ, Dinrifo RR, Adesuyi KB (2007) Comparative study of biogas production from five substrates. Advanced Mater Res 18–19:519–525
CrossRef Okeniyi JO, Okeniyi ET (2011) Implementation of Kolmogorov-Smirnov P-Value computation in Visual Basic®: implication for Microsoft Excel® library function J Stat Comp Simul doi:101080/009496552011593035,
http://wwwtandfonlinecom/doi/abs/101080/009496552011593035
Okeniyi JO, Omotosho OA, Ajayi OO, James OO, Loto CA (2012) Modelling the Performance of Sodium Nitrite and Aniline as Inhibitors in the Corrosion of Steel-reinforced Concrete Asian J Applied Sci 5(3):132–143
Olowu RA, Ayejuyo OO, Adewuyi GO, Adejoro IA, Akinbola TA, Osundiya MO, Onwordi CT (2010) Assessment of pollution trend of Oke Afa Canal Lagos Nigeria. E-J Chem 7(2):605–611
CrossRef Olumayowa O, Abiodun OO (2011) Profit efficiency and waste management in poultry farming: the case of Egba Division, Ogun State, Nigeria. Int J Poult Sci 10(2):137–142
CrossRef Omotosho OA, Okeniyi JO, Ajayi OO (2010) Performance evaluation of potassium dichromate and potassium chromate inhibitors on concrete steel rebar corrosion. J Fail Anal Prev 10(5):408–415
CrossRef Park S, Brown KW, Thomas JC, Lee I, Sung K (2010) Comparison study of methane emissions from landfills with different landfill covers. Environ Earth Sci 60(5):933–941
CrossRef Shabri A, Jemain AA (2006) Application of multi criteria method to identify the best-fit statistical distribution. J Appl Sci 6(4):926–932
CrossRef Soong TT (2004) Fundamentals of probability and statistics for engineers. Wiley, England
Stalpers SIP, van Amstel AR, Dellink RB, Mulder I, Werners SE, Kroeze C (2008) Lessons learnt from a participatory integrated assessment of greenhouse gas emission reduction options in firms. Mitig Adapt Strat Global Change 13:359–378
CrossRef Thas O (2010) Comparing distributions. Springer Science+Business Media, LLC, New York
Uemura S, Ohashi A, Harada H, Hoaki T, Tomozawa T, Ohara T, Ojima R, Ishida T (2008) Production of biologically safe digested manure for land application by a full-scale biogas plant with heat-inactivation. Waste Manag Res 26:256–260
CrossRef Zalaghi R, Landi A (2009) Evaluating carbonic greenhouse gasses emission and organic carbon balance from soils under current agricultural land used. J Appl Sci 9(12):2307–2312
CrossRef © Springer Science+Business Media B.V. 2012