Mendoza Benito, Cruz Marco, Carrera Lucero, Jimenez Mauro, Caicedo Juan, Osorio Miguel, Santillán Luis, Arias Fabian
Universidad Nacional de Chimborazo, Riobamba, Ecuador.
Escuela Superior Politécnica de Chimborazo, Riobamba, Ecuador.
F1000Res. 2019 Jul 5;8:1012. doi: 10.12688/f1000research.19255.1. eCollection 2019.
Air pollution is one of the biggest problems in the world, and it is generated by industrial production, vehicular flow and use of fossil fuels, leaving aside other important emission sources such as vegetation. The aim of this research is to quantify the emissions of natural volatile organic compounds produced by the forest species: L., and in Riobamba, Ecuador. Identification of plant coverings in the years 2014 and 2017was performed using geographic information systems tools, complemented with the application of the Guenther model for the calculation of monoterpenes and other organic volatile compounds; thus, to analyze the relationship between meteorological variables and concentrations of volatile organic compounds and nitrogen dioxide per species. Mathematical calculation of emissions in Riobamba showed that L. registered higher emissions in the years 2014-2017, followed by and . These emissions are due to the vegetation cover covering each species. The analysis of volatile organic compounds in forest plantations in air is directly related to the emissions represented in the environment and correlated with the meteorological variables of temperature, global solar radiation and wind velocity. The proposed method manages to estimate concentrations of monoterpenes and volatile organic compounds for the two examined seasons, presenting the influence of the species introduced in this study such as L. and , with a reduction in their emissions (less area found in the year 2017, with respect to 2014). However, the emission of can be quantified only in 2017, since in 2014 no records of this species were found. Volatile organic compound concentrations in the air are directly related to the emissions represented spatially and correlated with the meteorological variables of temperature, global solar radiation and wind velocity.
空气污染是世界上最大的问题之一,它由工业生产、车辆流动以及化石燃料的使用产生,暂且不提其他重要的排放源,如植被。本研究的目的是量化厄瓜多尔里奥班巴的森林物种L.、和所产生的天然挥发性有机化合物的排放量。利用地理信息系统工具对2014年和2017年的植物覆盖情况进行了识别,并辅以应用Guenther模型来计算单萜和其他有机挥发性化合物;从而分析气象变量与每种挥发性有机化合物和二氧化氮浓度之间的关系。里奥班巴排放量的数学计算表明,L.在2014 - 2017年的排放量较高,其次是和。这些排放是由于覆盖每个物种的植被覆盖情况所致。对空气中人工林挥发性有机化合物的分析与环境中所呈现的排放直接相关,并与温度、全球太阳辐射和风速等气象变量相关。所提出的方法成功地估算了两个考察季节中单萜和挥发性有机化合物的浓度,呈现了本研究中引入物种如L.和的影响,其排放量有所减少(与2014年相比,2017年发现的面积较小)。然而,的排放仅能在2017年进行量化,因为在2014年未发现该物种的记录。空气中挥发性有机化合物的浓度与空间上所呈现的排放直接相关,并与温度、全球太阳辐射和风速等气象变量相关。