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Developing a Spatial Emission Inventory of Agricultural Machinery in Croatia by Using Large-Scale Survey Data

Author

Listed:
  • Šimun Lončarević

    (Energy Institute Hrvoje Požar, Savska cesta 163, HR-10000 Zagreb, Croatia)

  • Petar Ilinčić

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, HR-10000 Zagreb, Croatia)

  • Zoran Lulić

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, HR-10000 Zagreb, Croatia)

  • Darko Kozarac

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, HR-10000 Zagreb, Croatia)

Abstract

Agricultural machinery has an essential impact on climate change. However, its emission data are often missing, which makes it harder to develop policies which could lower its emissions. An emission inventory should first be developed to understand the impact of agricultural machinery on climate change. This article presents a spatial variation of emissions from agricultural machinery in Croatia. Data on agricultural machinery for 2016 was collected via a large-scale survey with 8895 respondents and included machinery type, location data, and fuel consumption by fuel type. Data processing was conducted to optimize the survey results, and the emissions were calculated using the “EEA/EMEP Emission Inventory Guidebook” Tier 1 method. The research shows that two-axle tractors with engine power 61–100 kW had the most significant energy consumption and were responsible for most of the emissions. The highest total emissions were in counties in the Slavonia region, while counties in the Dalmatia region had the highest emissions per hectare of arable land. Results obtained this way enable policies to be developed that will target specific spatial areas and machinery types. Furthermore, this approach could allow precise spatial and temporal emission tracking. A designated institution which could conduct annual surveys and update the agricultural machinery emission data would ensure emission data continuity.

Suggested Citation

  • Šimun Lončarević & Petar Ilinčić & Zoran Lulić & Darko Kozarac, 2022. "Developing a Spatial Emission Inventory of Agricultural Machinery in Croatia by Using Large-Scale Survey Data," Agriculture, MDPI, vol. 12(11), pages 1-18, November.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:11:p:1962-:d:978703
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    References listed on IDEAS

    as
    1. Šimun Lončarević & Petar Ilinčić & Goran Šagi & Zoran Lulić, 2022. "Problems and Directions in Creating a National Non-Road Mobile Machinery Emission Inventory: A Critical Review," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    2. Gyu-Gang Han & Jun-Hyuk Jeon & Yong-Jin Cho & Myoung-Ho Kim & Seong-Min Kim, 2021. "Analysis of Air Pollutant Emissions for Mechanized Rice Cultivation in Korea," Agriculture, MDPI, vol. 11(12), pages 1-11, December.
    3. Yuan Liu & Long Shao & Wanzhang Wang & Jinfan Chen & Heng Zhang & Yue Yang & Baichen Hu, 2022. "Study on Fugitive Dust Control Technologies of Agricultural Harvesting Machinery," Agriculture, MDPI, vol. 12(7), pages 1-22, July.
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    5. Niklas Höhne & Takeshi Kuramochi & Carsten Warnecke & Frauke Röser & Hanna Fekete & Markus Hagemann & Thomas Day & Ritika Tewari & Marie Kurdziel & Sebastian Sterl & Sofia Gonzales, 2017. "The Paris Agreement: resolving the inconsistency between global goals and national contributions," Climate Policy, Taylor & Francis Journals, vol. 17(1), pages 16-32, January.
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