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

AKCAN S., KUVVETLİ Y., Kocyigit H.

HUMAN AND ECOLOGICAL RISK ASSESSMENT, cilt.24, sa.2, ss.522-533, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 2
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1080/10807039.2017.1392233
  • Dergi Adı: HUMAN AND ECOLOGICAL RISK ASSESSMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.522-533
  • Anahtar Kelimeler: greenhouse gas emissions, global warming, air pollutants, time series analysis, performance statistics, ENERGY-CONSUMPTION, GHG EMISSIONS, INTENSITY, CHINA
  • Çukurova Üniversitesi Adresli: Evet

Özet

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.