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2026 Vol.28, Issue 1 Preview Page

Research article

A study on derivation of meteorological data regression equation for prediction of livestock derived NH3
Soonuk Yoon1*
,
Heonyong Yang2
,
Byeongock Kim3
1Assistant manager, Livestock Environmental Management Institute, Hannuridaero 219, Sejong, Republic of Korea
2Team manager, Korea Slope Safety Association, Naseongbuk1ro 22, Sejong, Republic of Korea
3Team manager, Livestock Environmental Management Institute, Hannuridaero 219, Sejong, Republic of Korea
*Corresponding Author
30 April 2026. pp. 28-42
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Abstract

This study examined the causal relationship between environmental conditions and NH3 generation by installing NH3 sensors at 8 livestock farms in Eumseong-gun, Korea. NH3 and meteorological data were collected for 6 months (September 2021 to February 2022) through the livestock odor management system, and the amount of NH3 measured in real time and the temperature, humidity, and rainfall data measured at the same time through sensors in the field were pretreated in 30-minute increments. To identify the correlation between NH3 and environmental conditions, Pearson’s coefficient and Variance Inflation Factors (VIF) analysis were performed to derive a positive/negative linear relationship, and the time range was selected as 4 months from September 2021 to December 2021. In addition, one location was selected from each of the four farmhouses as a spatial range. The correlation between NH3, temperature, humidity, and rainfall showed a high Pearson’s coefficients ranging from -0.738 to 0.839. Monthly regression equations were derived through multiple regression analysis, and as a result of calculating R2 by substituting data from other months, it was found that it was not high below 0.65.

Keywords
NH3
Pearson’s coefficient
Regression equation
MAPE
References
1

Akter, S., Cortus, E.L., 2020. Comparison of H2S concentrations and odor annoyance frequency predictions downwind from livestock facilities. Atmosphere, 11(3), 249.

10.3390/atmos11030249
2

Aunsa-Ard, W., Pobkrut, T., Kerdcharoen, T., Prombaingoen, N., Kijpreedaborisuthi, O., 2021. Electronic nose for monitoring of livestock farm odors (poultry farms). In 2021 13th International Conference on Knowledge and Smart Technology (KST), IEEE, 176-180.

10.1109/KST51265.2021.9415825
3

Barbusiński, K., Parzentna-Gabor, A., Kasperczyk, D., 2021. Removal of odors (mainly H2S and NH3) using biological treatment methods. Clean Technologies, 3(1), 138-155.

10.3390/cleantechnol3010009
4

Barth, C.L., Elliott, L.F., Melvin, S.W., 1984. Using odor control technology to support animal agriculture. Transactions of the ASAE, 27(3), 859-864.

10.13031/2013.32885
5

Bibbiani, C., Russo, C., 2012. Odour emission from intensive livestock production system: Approaches for emission abatement and evaluation of their effectiveness. Large Anim. Rev. 18(3), 135-138.

6

Cao, Y., Wang, X., Zhang, X., Misselbrook, T., Bai, Z., Ma, L., 2021. Nitrifier denitrification dominates nitrous oxide production in composting and can be inhibited by a bioelectrochemical nitrification inhibitor. Bioresource Techonology, 341, 125851.

10.1016/j.biortech.2021.125851
7

Chatterjee, S., Price, B., 1991. Regression Analysis by Example, 2nd, ed. Wiley & Sons., New York, 278.

8

Choi, Y., Kim, K., Kim, S., Kim, D., 2022. Identification of odor emission sources in urban areas using machine learning-based classification models. Atmopheric Environment: X, 13, 100156.

10.1016/j.aeaoa.2022.100156
9

Conti, D., Dimitrov, N., Peña, A., Herges, T., 2020. Wind turbine wake characterization using the SpinnerLidar measurements. In Journal of Physics: Conference Series IOP Publishing. 1618(6), 062040.

10.1088/1742-6596/1618/6/062040
10

Danuso, F., Rocca, A., Ceccon, P., Ginaldi, F., 2015. A software application for mapping livestock waste odour dispersion. Environmental Modelling & Software, 69, 175-186.

10.1016/j.envsoft.2015.03.016
11

Du, W., Lu, F., Zhang, H., Shao, L., He, P., 2023. Odor emission rate of a municipal solid waste sanitary landfill during different operation stages before final closure. Science Total Environment, 856, 159111.

10.1016/j.scitotenv.2022.159111
12

Erisman, J.W., Bleeker, A., Galloway, J., Sutton, M.S., 2007. Reduced nitrogen in ecology and the environment. Environmental Pollution, 150(1), 140-149.

10.1016/j.envpol.2007.06.033
13

Feng, S., Xu, W., Cheng, M., Ma, Y., Wu, L., Kang, J., Wang, K., Tang, A., Collett, J.L., Fang, Y., Goulding, K.W.T., Liu, X., Zhang, F., 2022. Overlooked nonagricultural and wintertime agricultural NH3 emissions in Quzhou County, North China Plain: Evidence from 15N-stable isotopes. Environmental Science & Technology Letters, 9(2), 127-133.

10.1021/acs.estlett.1c00935
14

Fischer, E., Cachon, R., Cayot, N., 2022. Impact of ageing on pea protein volatile compounds and correlation with odor. Molecules, 27(3), 852.

10.3390/molecules2703085235164147PMC8838068
15

Flesch, T.K., Wilson, J.D., Yee, E., 1995. Backward-time Lagrangian stochastic dispersion models and their application to estimate gaseous emissions. Journal of Applied Meteorology and Climatology, 34(6), 1320-1332.

10.1175/1520-0450(1995)034<1320:BTLSDM>2.0.CO;2
16

Guo, H.Y., Zhang, L., Zhang, L.L., Zhou, J.X., 2004. Optimal placement of sensors for structural health monitoring using improved genetic algorithms. Smart Materials and Structures, 13(3), 528.

10.1088/0964-1726/13/3/011
17

Guo, Z., Dirmeyer, P. A., Hu, Z.Z., Gao, X., Zhao, M., 2006. Evaluation of the Second Global Soil Wetness Project soil moisture simulations: 2. Sensitivity to external meteorological forcing. Journal of Geophysical Research: Atmospheres, 111(D22).

10.1029/2006JD007845
18

Hanajima, D., Kuroda, K., Morishita, K., Fujita, J., Maeda, K., Morioka, R., 2010. Key odor components responsible for the impact on olfactory sense during swine feces composting. Bioresource Techonology, 101(7), 2306-2310.

10.1016/j.biortech.2009.11.026
19

Heaney, S., O’Connor, H., Michael, S., Gifford, J., Naughton, G., 2011. Nutrition knowledge in athletes: a systematic review. International Journal of Sport Nutrition and Exercise Metabolism, 21(3), 248-261.

10.1123/ijsnem.21.3.248
20

Huang, R.J., Zhang, Y., Bozzetti, C., Ho, K. F., Cao, J.J., Han, Y., Dällenbach, K.R., Slowik, J.G., Platt, S.M., Canonaco, F., Zotter, P., Wolf, R., Pieber, S.M., Bruns, E. A., Crippa, M., Ciarelli, G., Piazzalunga, A., Schwikowski, M., Abbaszade, G., Schnelle-Kreis, J., Zimmermann, R., An, Z., Szidat, S., Baltensperger, U., Haddad, I.E., Prévôt, A.S., 2014. High secondary aerosol contribution to particulate pollution during haze events in China. Nature, 514(7521), 218-222.

10.1038/nature13774
21

Jacobson, M.Z., Colella, W.G., Golden, D.M., 2005. Cleaning the air and improving health with hydrogen fuel-cell vehicles. Science, 308(5730), 1901-1905.

10.1126/science.1109157
22

Kiesewetter, G., Borken-Kleefeld, J., Schöpp, W., Heyes, C., Thunis, P., Bessagnet, B., Terrenoire, B., Gsella, A., Amann, M., 2014. Modelling NO2 concentrations at the street level in the GAINS integrated assessment model: projections under current legislation. Atmospheric Chemistry and Physics, 14(2), 813-829.

10.5194/acp-14-813-2014
23

Lewis, C.D., 1982. International and Business Forecasting Methods. Butterworths, London. pp. 40.

24

Li, C.Z., Zhao, Y., Xiao, B., Yu, B., Tam, V.W., Chen, Z., Ya, Y., 2020. Research trend of the application of information technologies in construction and demolition waste management. Journal of Cleaner Production, 263, 121458.

10.1016/j.jclepro.2020.121458
25

Liu, Y., Zhuang, Y., Ji, B., Zhang, G., Rong, L., Teng, G., Wang, C., 2022. Prediction of laying hen house odor concentrations using machine learning models based on small sample data. Computers and Electronics in Agriculture, 195, 106849.

10.1016/j.compag.2022.106849
26

McCaul, M., Magni, P., Jordan, S.F., McNamara, E., Satta, A., Diamond, D., Ribotti, A., 2021. Nutrient analysis in Arctic waters using a portable sensing platform. Frontiers in Sensors, 2, 711592.

10.3389/fsens.2021.711592
27

Mielcarek, P., Rzeźnik, W., 2015. Odor emission factors from livestock production. Polish Journal of Environmental Studies, 24(1), 27-35.

10.15244/pjoes/29944
28

Mishra, D., Min, J., 2010. Analyzing the relationship between dependent and independent variables in marketing: A comparison of multiple regression with path analysis. Available at SSRN 2259524.

10.2139/ssrn.2259524
29

Mulrow, J., Kshetry, N., Brose, D.A., Kumar, K., Jain, D., Shah, M., Kunetz, T.E., Varshney, L.R., 2020. Prediction of odor complaints at a large composite reservoir in a highly urbanized area: A machine learning approach. Water Environmental Research, 92(3), 418-429.

10.1002/wer.1191
30

Pagans, E., Font, X., Sánchez, A., 2006. Emission of volatile organic compounds from composting of different solid wastes: Abatement by biofiltration. Journal of Hazardous Materials, 131(1-3), 179-186.

10.1016/j.jhazmat.2005.09.017
31

Post, P.M., Hogerwerf, L., Bokkers, E.A., Baumann, B., Fischer, P., Rutledge-Jonker, S., Hilderink, H., Hollander, A., Hoogsteen, M.J.J., Liebman, A., Mangen, M.J.J., Manuel, H.J., Mughini-Gras, L., van Poll, R., Posthuma, L., van Pul, A., Rutgers, M., Schmitt, H., van Steenbergen, J., Sterk, H.A.M., Verschoor, A., de Vries, W., Wallace, R. G., Kruit, R.W., Lebret, E. de Boer, I.J., 2020. Effects of Dutch livestock production on human health and the environment. Science of the Total Environment, 737, 139702.

10.1016/j.scitotenv.2020.139702
32

Rappert, S., Müller, R., 2005. Odor compounds in waste gas emissions from agricultural operations and food industries. Waste Management, 25(9), 887-907.

10.1016/j.wasman.2005.07.008
33

Robert, C.P., Cornuet, J.M., Marin, J.M., Pillai, N.S., 2011. Lack of confidence in approximate Bayesian computation model choice. Proceedings of the National Academy of Sciences, 108(37), 15112-15117.

10.1073/pnas.110290010821876135PMC3174657
34

Ruan, W., Liu, J., Li, P., Zhao, W., Zhang, A., Liu, S., Wang, Z., Liu, J., 2022. Dynamics of Microbial Communities, Flavor, and Physicochemical Properties during Ziziphus jujube Vinegar Fermentation: Correlation between Microorganisms and Metabolites. Foods, 11(21), 3334.

10.3390/foods1121333436359947PMC9655239
35

Shmueli, G., Koppius, O.R., 2011. Predictive analytics in information systems research. MIS quarterly, 553-572.

10.2307/23042796
36

Van der Heyden, C., Demeyer, P., Volcke, E.I., 2015. Mitigating emissions from pig and poultry housing facilities through air scrubbers and biofilters: State-of-the-art and perspectives. Biosystems Engineering, 134, 74-93.

10.1016/j.biosystemseng.2015.04.002
37

Van der Sar, I.G., Wijbenga, N., Nakshbandi, G., Aerts, J.G. J.V., Manintveld, O.C., Wijsenbeek, M.S., Hellemons, M. E., Moor, C.C., 2021. The smell of lung disease: a review of the current status of electronic nose technology. Respiratory Research, 22(1), 1-22.

10.1186/s12931-021-01835-434535144PMC8448171
38

Wang, L., Yu, L., Xiong, Y., Li, Z., Geng, J., 2021. Study on the governance of black-odor water in Chinese cities. Journal of Cleaner Production, 308, 127290.

10.1016/j.jclepro.2021.127290
39

Weng, W., Feuk, H., Li, S., Richter, M., Aldén, M., Li, Z., 2021. Temporal temperature measurement on burning biomass pellets using phosphor thermometry and two-line atomic fluorescence. Proceedings of the Combustion Institute, 38(3), 3929-3938.

10.1016/j.proci.2020.06.095
40

Wilson, J.D., Sawford, B.L., 1996. Review of Lagrangian stochastic models for trajectories in the turbulent atmosphere. Boundary-Layer Meteorology, 78, 191-210.

10.1007/BF00122492
41

Wyer, K.E., Kellghan, D.B., Blanes-Vidal, V., Schauberger, G., Curran, T.P., 2022. NH3 emissions from agriculture and their contribution to fine particulate matter: A review of implications for human health. Journal of Environmental Management, 323., 116285

10.1016/j.jenvman.2022.116285
42

Xu, J., Jin, G., Tang, H., Zhang, P., Wang, S., Wang, Y.G., Li, L., 2018. Assessing temporal variations of NH3 Nitrogen concentrations and loads in the Huaihe River Basin in relation to policies on pollution source control. Science of the Total Environment, 642, 1386-1395.

10.1016/j.scitotenv.2018.05.395
43

Yoon, S.U., Choi, S.M., Lee, J.H., 2022. A study on the development of livestock odor (NH3) monitoring system using ICT (Information and Communication Technology). Agriculture, 12(1), 46.

10.3390/agriculture12010046
44

Zhou, K.Z., Yim, C.K., Tse, D.K., 2005. The Effects of Strategic Orientations on Technology- and Market-Based Breakthrough Innovations. Journal of Marketing, 69, 42-60. http://dx.doi.org/10.1509/jmkg.69.2.42.60756

10.1509/jmkg.69.2.42.60756
Information
  • Publisher :The Korean Society of Animal Environmental Science & Technology
  • Publisher(Ko) :(사)한국축산환경학회
  • Journal Title :Journal of Animal Environmental Science
  • Journal Title(Ko) :축산시설환경학회지
  • Volume : 28
  • No :1
  • Pages :28-42
  • Received Date : 2026-04-06
  • Revised Date : 2026-04-23
  • Accepted Date : 2026-04-23
  • DOI :https://doi.org/10.11109/JAES.2026.28.1.028
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