用统计方法估算土耳其的温室气体排放量

Suat Öztürk, Ahmet Emir
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引用次数: 0

摘要

随着经济和人口的增长,生活方式、消费习惯、城市化率、能源生产类型和日益增长的能源需求都在逐步促进温室气体向地球大气层的排放。过去几十年来,由 CH4、N2O、CO2、H2O 和 HFCs 组成的温室气体导致气候变化,破坏生态平衡,冰川融化,全球变暖。因此,根据国际议定书和协议,未来预测和减少温室气体排放问题对土耳其和其他国家的决策者至关重要。本文旨在利用 1970 年至 2018 年的过去年度数据,采用灰色、自回归综合移动平均和双指数平滑模型,对土耳其的甲烷、一氧化二氮和二氧化碳排放量进行预测和未来 8 年的预测。结果表明,DES 模型的预测效果最佳,其次是 ARIMA 模型和 GM 模型。根据现有数据计算得出的 MAPE 和 DES 模型从 1970 年到 2018 年对 CH4、N2O 和 CO2 的预测值分别为 0.285、0.355 和 0.408。根据 DES 预测,2026 年 CH4、N2O 和 CO2 的未来排放量分别为 50700 千吨 CO2 当量、38100 千吨 CO2 当量和 512000 千吨 CO2 当量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ESTIMATIONS OF GREEN HOUSE GASES EMISSIONS OF TURKEY BY STATISTICAL METHODS
The way of life, consumption habits, urbanization rate, type of energy production and increasing energy need with growing economies and population progressively promote the GHGs emissions to Earth’s atmosphere. GHGs consisting of CH4, N2O, CO2, H2O and HFCs cause the climate change, disrupting ecological balance, melting glaciers with global warming in the last decades. Therefore, the issues of future prediction and reduction of GHGs emissions became crucial for policy makers of Turkey and other countries under the international protocols and agreements. This article aims to present the prediction and 8-year future forecasting of CH4, N2O and CO2 emissions of Turkey using past annual data between years 1970 and 2018 with grey, autoregressive integrated moving average and double exponential smoothing models. Based on the results, the best prediction performance is reached by DES model followed by ARIMA and GM for all the emissions. MAPEs calculated from the available data and prediction by DES model from 1970 to 2018 are 0.285, 0.355 and 0.408 for CH4, N2O and CO2 in turn. DES future estimations of CH4, N2O and CO2 at 2026 year are determined as 50700 kiloton of CO2 eq., 38100 thousand metric ton of CO2 eq., and 512000 kilotons.
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