2020
DOI: 10.3390/rs12182885
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Mapping Carbon Monoxide Pollution of Residential Areas in a Polish City

Abstract: Road traffic is among the main sources of atmospheric pollution in cities. Maps of pollutants are based on geostatistical models using a digital model of the city along with traffic parameters allowing for ongoing analyses and prediction of the condition of the environment. The aim of the work was to determine the size of areas at risk of carbon monoxide pollution derived from road traffic along with determining the number of inhabitants exposed to excessive CO levels using geostatistical modeling on the examp… Show more

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Cited by 19 publications
(16 citation statements)
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“…The pollution in Guangzhou (Figure 11a-c) and Foshan (Figure 11d-f) was mainly industrial pollution, and the denser industrial zones had higher PM 2.5 values. The pollution characteristics of Dongguan were linearly distributed along the roads, indicating that traffic pollution was the main cause, which was very similar to the pollution situation in northern Poland [60]. With the previous coarse resolution PM 2.5 retrieval results, which pay more attention to PM 2.5 estimation at a large scale, it is difficult to obtain pollution characteristics at the urban scale.…”
Section: Discussionmentioning
confidence: 78%
“…The pollution in Guangzhou (Figure 11a-c) and Foshan (Figure 11d-f) was mainly industrial pollution, and the denser industrial zones had higher PM 2.5 values. The pollution characteristics of Dongguan were linearly distributed along the roads, indicating that traffic pollution was the main cause, which was very similar to the pollution situation in northern Poland [60]. With the previous coarse resolution PM 2.5 retrieval results, which pay more attention to PM 2.5 estimation at a large scale, it is difficult to obtain pollution characteristics at the urban scale.…”
Section: Discussionmentioning
confidence: 78%
“…However, the sensors in this study did not provide traffic data. Dhyani et al [ 42 ] used road type and road alignment to predict PM 2.5 from urban highway corridors, and Kwiecień and Szopińska [ 43 ] combined average daily traffic (AADT), carbon monoxide emissions for every road section and other variables to predict the degree of air pollution. Walsh [ 44 ] investigate global progress in controlling the motor vehicle contribution.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the work [14] it was determined the size of areas at risk of carbon monoxide pollution derived from road traffic and determining the number of inhabitants exposed to excessive CO levels using geostatistical modelling on the example of the city of Bydgoszcz, a city in the northern part of Poland. Based on geostatistical modelling, a prediction map of CO pollution was generated, along with determining the level of CO concentration.…”
Section: Literature Reviewmentioning
confidence: 99%