Time series analysis models for estimation of greenhouse gas emitted by different sectors in Turkey

Due to the increasing global warming in the world, analyzing greenhouse gas emissions is a crucial issue. This study has examined greenhouse gas emissions in Turkey according to energy sector, industrial processes sector, agriculture sector and waste sector. Then, time series analysis models are use...

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Bibliographic Details
Published in:Human and ecological risk assessment 2018-02, Vol.24 (2), p.522-533
Main Authors: Akcan, Serap, Kuvvetli, Yusuf, Kocyigit, Hasan
Format: Article
Language:English
Subjects:
Agricultural wastes
air pollutants
Climate change
Emission inventories
Emissions
Error analysis
Global warming
Greenhouse effect
greenhouse gas emissions
Greenhouse gases
performance statistics
Time series
time series analysis
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Summary:Due to the increasing global warming in the world, analyzing greenhouse gas emissions is a crucial issue. This study has examined greenhouse gas emissions in Turkey according to energy sector, industrial processes sector, agriculture sector and waste sector. Then, time series analysis models are used to estimate greenhouse gas emissions based on sectors. Models' performances are tested using mean error, mean absolute error and root mean square error. The results show that forecasting models have a good potential to estimate the national greenhouse gas emissions for different sector within a reasonable error. The study results will help organize and estimate the national greenhouse gas emissions inventory.
ISSN:1080-7039
1549-7860
DOI:10.1080/10807039.2017.1392233