Pregled bibliografske jedinice broj: 1232007
Developing a Spatial Emission Inventory of Agricultural Machinery in Croatia by Using Large- Scale Survey Data
Developing a Spatial Emission Inventory of Agricultural Machinery in Croatia by Using Large- Scale Survey Data // Agriculture, 12 (2022), 11; 1962, 18 doi:10.3390/agriculture12111962 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1232007 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Developing a Spatial Emission Inventory of
Agricultural Machinery in Croatia by Using Large-
Scale Survey Data
Autori
Lončarević, Šimun ; Ilinčić, Petar ; Lulić, Zoran ; Kozarac, Darko
Izvornik
Agriculture (2077-0472) 12
(2022), 11;
1962, 18
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
climate change ; agricultural machinery ; emission inventory ; non-road emissions ; NRMM
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo, Temeljne tehničke znanosti, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb,
Energetski institut
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus