Time series analysis models for estimation of greenhouse gas emitted by different sectors in Turkey
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
TAYLOR & FRANCIS INC
Access Rights
info:eu-repo/semantics/embargoedAccess
Abstract
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.
Description
Keywords
Greenhouse Gas Emissions, Global Warming, Air Pollutants, Time Series Analysis, Performance Statistics
Journal or Series
HUMAN AND ECOLOGICAL RISK ASSESSMENT
WoS Q Value
N/A
Scopus Q Value
Q1
Volume
24
Issue
2
