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Analysis, Evaluation and Stochastic Modeling of Emission Levels of Three Greenhouse Gases (CO_2, H_2O and SO_2) through Vehicular Activities within Enugu Metropolis

机译:埃努格大都市中通过车辆活动的三种温室气体(CO_2,H_2O和SO_2)的排放水平的分析,评估和随机模拟

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摘要

Research was conducted to determine the level of emission of three greenhouse gases (CO_2, H2_O and SO_2) through vehicular activities within Enugu Metropolis using gaseous pollutant sampler envirotech ARM 433 and fourier transform infra-red spectroscopy. The analysis showed that CO_2 emission was above the permissible limits of 350mg/m~3 in nine out of the 12 calendar month of the study year, 2015. SO_2 and H_2O were within their respective emission permissible limits across the length of the year studied. Stochastic model equations showed that relative humidity and traffic density greatly influenced the levels of emission of pollutant/greenhouse gases through vehicular activities in any given environment. Stochastic modeling equation successfully predicted the level of gaseous emissions in 2017 within Enugu metropolis which could be adopted by relevant government agencies towards pollution control measures.
机译:进行了研究,使用气体污染物采样器envirotech ARM 433和傅里叶变换红外光谱法,通过在Enugu都会内的车辆活动来确定三种温室气体(CO_2,H2_O和SO_2)的排放水平。分析表明,在研究年度(2015年)的12个日历月中的9个日历月中,有9个年度的CO_2排放量超过了350mg / m〜3的允许限值。在整个研究期间,SO_2和H_2O均在各自的允许排放限值内。随机模型方程表明,在任何给定环境中,相对湿度和交通密度极大地影响了车辆活动中污染物/温室气体的排放水平。随机建模方程式成功预测了Enugu都会区2017年的气体排放水平,相关政府机构可将其用于污染控制措施。

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