Time series analysis models for estimation of greenhouse gas emitted by different sectors in Turkey
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Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TAYLOR & FRANCIS INC
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
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.
Açıklama
Anahtar Kelimeler
Greenhouse Gas Emissions, Global Warming, Air Pollutants, Time Series Analysis, Performance Statistics
Kaynak
HUMAN AND ECOLOGICAL RISK ASSESSMENT
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
24
Sayı
2