Prediction of Nitrous Oxide (N₂O) Emission Based on Paddy Harvest Area in Lampung Province Indonesia using ARIMA on IPCC Model


  •   Tumiar K. Manik

  •   Paul B. Timotiwu

  •   Onny Chrisna P. Pradana


Agricultural are significant sources of N2O emission. Lampung, Indonesia is an area dominated by agriculture including crops that emit N2O on their cultivation practices especially the fertilizers: paddy and vegetables. Last census in 2015 recorded that paddy fields were 1.321.120 ha and vegetables 99,284 ha with fertilizers recommendations were 200 kg/ha urea (without organic materials) and 150 kg/ha urea (if added with 2 tons/ha manure). This study aimed to estimate and predict N2O emissions based on the paddy field area using IPCC 2006 model. The IPCC model was applied to the paddy field data 1993 to 2012 from the Indonesian Ministry of Agriculture to estimate the N2O emission and then using Box Jenkins model to predict the emission for following years. The results showed that the prediction of N2O emission on the following years would be in the range of 0.282- 0.451Gg/year using only synthetic fertilizer and if added with organic fertilizers would be 5,846-9,359 Gg/year. These results were lower compared to some countries; however, this result was not implied that fertilizer recommendations in Lampung were safe since the results came from default numbers of the model. More researches should be conducted that local emission factors would be available that fertilizer recommendation could be evaluated.

Keywords: ARIMA, Box Jenkin, IPCC model, N₂O emission


Deng, J., Zhou, Z., Zheng, X., et al., 2012. Annual emissions of nitrous oxide and nitric oxide from rice-wheat rotation and vegetable fields: a case study in the Tai-Lake region, China Plant Soil, 360, 37–53

IPCC, 2007. Climate change 2007: the physical science basis; Contribution of Working Group I to the fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.

Gao, X., Deng, O., Ling, J. et al., 2018. Effects of controlled-release fertilizer on nitrous oxide and nitric oxide emissions during wheat-growing season: field and pot experiments. Paddy Water Environ, 16, 99–108.

Zhang, Y., Lin, F., Jin, Y. et al., 2016. Response of nitric and nitrous oxide fluxes to N fertilizer application in greenhouse vegetable cropping systems in southeast China. Sci Rep 6, 20700

Graham, Rebecca F., Wortman, Sam E., Pittelkow, Cameron M., 2017. Comparison of Organic and Integrated Nutrient Management Strategies for Reducing Soil N₂O Emissions. Sustainability, 9 (4), 510. doi:10.3390/su9040510.

Zhou, Z., Zheng, X., Xie, B. et al., 2010. Nitric oxide emissions from rice-wheat rotation fields in eastern China: effect of fertilization, soil water content, and crop residue. Plant Soil, 336, 87–98

Li, D., 2013. Emissions of NO and NH3 from a Typical Vegetable-Land Soil after the Application of Chemical N Fertilizers in the Pearl River Delta. PLoS ONE, 8(3), e59360. doi:10.1371/journal.pone.0059360.

Ariani M, Hervani, A, and Setyanto, P. 2018. Climate smart agriculture to increase productivity and reduce greenhouse gas emission– a preliminary study. IOP Conf. Ser.: Earth Environ. Sci., 200 012024.

BPS-Badan Pusat Statistik (Central Bureau of Statistic). 2012. Lampung dalam Angka (Lampung in Figures).

Bautista, Elmer., Saito, Masanori., 2016. Greenhouse gas emissions from rice production in the Philippines based on life-cycle inventory analysis. Journal of Food Agriculture and Environment, 13, 139-144.

Kumar M., Nandini, N. 2016. Greenhouse Gas Emissions from Rice Fields of Bengaluru Urban District, India. International Journal of Environmental & Agriculture Research (IJOEAR) 2(4). ISSN:[2454-1850].

Pathak, H., Li, C., Wassmann, R., 2005. Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model, Biogeosciences, 2, 113–123,

Komiya, Shujiro., Yuki Shoji., Kosuke Noborio,, 2020. Climatic impacts on greenhouse gas emissions in rice paddy fields. © 2010 19th World Congress of Soil Science, Soil Solutions for a Changing World. 1–6 August 2010, Brisbane, Australia. Published on DVD.

Hisatomi Harada, Hitomi Kobayashi, Hayato Shindo , 2007. Reduction in greenhouse gas emissions by no-tilling rice cultivation in Hachirogata polder, northern Japan: Life-cycle inventory analysis, Soil Science and Plant Nutrition, 53:5, 668-677, Doi: 10.1111/ j.1747-0765.2007.00174.x.

Boateng, K.K.; Obeng, G.Y.; Mensah, E. Rice Cultivation and Greenhouse Gas Emissions: A Review and Conceptual Framework with Reference to Ghana. Agriculture 2017, 7, 7. doi:10.3390/agriculture7010007.

Chirinda, N.; Arenas, L.; Katto, M. et al., 2018. Sustainable and Low Greenhouse Gas Emitting Rice Production in Latin America and the Caribbean: A Review on the Transition from Ideality to Reality. Sustainability, 10, 671.

IPCC- Intergovernmental Panel on Climate Change. 2006. Guidelines for National Greenhouse Gas Inventories. 2006gl/pdf/4_Volume4/V4_05_Ch5_Cropland.pdf.

Yona, L., Cashore, B., Jackson, R.B. et al., 2020. Refining national greenhouse gas inventories. Ambio.

Velthof, G. L., Kuikman, P.J., Oenema, O., 2003. Nitrous oxide emission from animal manures applied to soil under controlled conditions. Biol Fertil Soils, 37, 221–230

Kim, Dong Gill, Guillermo, Hernandez-Ramirez. 2010. Dependency of nitrous oxide emission factors on nitrogen input rates: A meta-analysis. 19th World Congress of Soil Science, Soil Solutions for a Changing World 1 – 6 August 2010, Brisbane, Australia.

Kim, D.G., Isenhart, T. M., Parkin, T. B., et al., 2009. Nitrous oxide emissions from riparian forest buffers, warm-season and cool-season grass filters, and crop fields, Biogeosciences Discuss., 6, 607–650,

Cayuela, M., Eduardo Aguilera, Alberto Sanz-Cobena, et al. 2017. Direct nitrous oxide emissions in Mediterranean climate cropping systems: Emission factors based on a meta-analysis of available measurement data. Agriculture, Ecosystems and Environment, Elsevier Masson, 238, pp.25 - 35.

Kumar Manoj, Madhu Anand., 2014. An Application of Time Series Arima Forecasting Model for Predicting Sugarcane Production in India, Studies in Business and Economics, 9, (1), 81-94.

Daulay, A. R., Eka Intan K. P., Barus, B., et al., 2016. Analisis Faktor Penyebab Alih Fungsi Lahan Sawah Menjadi Sawit Di Kabupaten Tanjung Jabung Timur (Analysis of Factors Affecting Lowland Conversion into Palm Oil Plantation in East Tanjung Jabung Regency). Analisis Kebijakan Pertanian, 14(1), 1-15 doi:

Yao, Z., Zheng, X., Zhang, Y. et al., 2017. Urea deep placement reduces yield-scaled greenhouse gas (CH4 and N₂O) and NO emissions from a ground cover rice production system. Sci Rep, 7, 11415.

Islam, S.M.M., Gaihre, Y.K., Biswas, J.C. et al., 2018. Nitrous oxide and nitric oxide emissions from lowland rice cultivation with urea deep placement and alternate wetting and drying irrigation. Sci Rep, 8, 17623


How to Cite
Manik, T. K., Timotiwu, P. B., & Pradana, O. C. P. (2021). Prediction of Nitrous Oxide (N₂O) Emission Based on Paddy Harvest Area in Lampung Province Indonesia using ARIMA on IPCC Model. European Journal of Environment and Earth Sciences, 2(4), 37-43.