Emission dispersion modeling and geospatial analysis of vehicular emissions in some parts of Benin City, Nigeria

I. Ilaboya, E. A. Otuaro
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引用次数: 2

Abstract

Over the years, decline in air quality has been connected to the growing rate of urbanization and increasing number of vehicles on the roads. Most of the pollutants emitted from vehicular activities have been observed to have adverse effects on individuals as well as the atmosphere. Although, the focus of this study is to develop an emission dispersion model to predict the concentration of specific air pollutants with distance, the application of geostatistical technique such as Kriging interpolation to study the spatial distribution of pollutants from vehicular emissions around the study area was also exemplified. Seven (7) georeferenced points, namely, Ugbowo main gate, Ekosodin junction, Agen junction, Super D junction, Nitel junction, Okhunmwun junction and Oluku market junction were used for data collection. Pollutants from vehicular emissions, namely, nitrogen dioxide (NO2), carbon monoxide (CO) including the total radiation were monitored in the morning and evening for a period of 35 days (7th July to 12th August 2020) with the aid of portable toxic gas monitors and radiation alert meters. Other parameters of interest, which were also measured include maximum temperature and wind speed using infra-red thermometers and portable anemometer respectively. To ascertain the quality of the data, selected preliminary analysis, namely, test of normality, test of homogeneity, outlier detection and reliability test were done. Result of the study showed a high concentration of NO2, CO and total radiation around Ugbowo main gate and Okhunmwun community and environs especially during the peak hours of evening (5.0 p.m. – 6.0 p.m.) when the traffic load is high.
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尼日利亚贝宁市部分地区车辆排放的排放分散建模和地理空间分析
多年来,空气质量的下降一直与城市化速度的加快和道路上车辆数量的增加有关。据观察,车辆活动排放的大多数污染物对个人和大气都有不利影响。虽然本研究的重点是建立一个排放弥散模型来预测特定空气污染物的浓度随距离的变化,但也举例说明了应用地质统计学技术(如Kriging插值)来研究研究区域周围车辆排放污染物的空间分布。采用Ugbowo大门、Ekosodin路口、Agen路口、Super D路口、Nitel路口、Okhunmwun路口和Oluku市场路口7个地理参考点进行数据收集。在2020年7月7日至8月12日的35天内,利用便携式有毒气体监测仪和辐射报警器,对车辆排放的污染物,即二氧化氮(NO2)、一氧化碳(CO)和总辐射进行了早晚监测。此外,我们还分别用红外线测温仪和便携式风速仪测量了最高气温和风速。为了确定数据的质量,选择初步分析,即正态性检验、均匀性检验、离群值检测和信度检验。结果显示,在交通繁忙的傍晚高峰时段(下午5点~ 6点),乌宝窝正门和奥坤云社区及周边地区的NO2、CO和总辐射浓度较高。
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