scholarly journals The Air Quality Perception of Residents in the Metropolitan Zone of Acapulco Who Live Around Intersections with Intense Traffic

Environments ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 21
Author(s):  
Alfredo Ricardo Zárate Valencia ◽  
Maximino Reyes Umaña ◽  
Hilda Janet Arellano Wences ◽  
Antonio Alfonso Rodríguez Rosales ◽  
Columba Rodríguez Alviso ◽  
...  

Air pollution is a global environmental problem that affects the population. This work demonstrates the perception of air quality by the population of the urban area of the municipality of Acapulco, Guerrero, Mexico. To meet the objective, a survey of 36 questions was applied to a sample of 382 people living in the main crossing points of vehicles, where there is more traffic and more severe pollutant concentration problems. We decided to apply the grouping method within a radius of 500 m around the selected intersections, where 95% of the respondents are aware that the air they breathe has a certain degree of contamination.

2020 ◽  
Vol 217 ◽  
pp. 11004
Author(s):  
Galina Semenova

Air pollution is an environmental problem that is familiar to residents of absolutely all corners of the earth. It is especially acutely felt by residents of cities where enterprises of ferrous and non-ferrous metallurgy, energy, chemical, petrochemical, construction, pulp and paper industries operate. In some cities, the atmosphere is also severely poisoned by vehicles and boiler houses. These are all examples of anthropogenic air pollution. The subject of the study is the emissions of carbon dioxide into the environment. The purpose of the study is to solve the problem of environmental pollution by harmful substances and preserve the ecology in the world. Methodology. The main indicators characterizing the impact on the environment - CO2 emissions in the global energy sector - have been systematized; two indicators have been identified that determine the level of atmospheric pollution. Results - the scale of the influence of atmospheric air pollution on human health and the entire ecosystem as a whole was revealed.


2019 ◽  
Vol 12 (5) ◽  
pp. 2933-2948 ◽  
Author(s):  
Shan Xu ◽  
Bin Zou ◽  
Yan Lin ◽  
Xiuge Zhao ◽  
Shenxin Li ◽  
...  

Abstract. Fine particulate matter (PM2.5) is of great concern to the public due to its significant risk to human health. Numerous methods have been developed to estimate spatial PM2.5 concentrations in unobserved locations due to the sparse number of fixed monitoring stations. Due to an increase in low-cost sensing for air pollution monitoring, crowdsourced monitoring of exposure control has been gradually introduced into cities. However, the optimal mapping method for conventional sparse fixed measurements may not be suitable for this new high-density monitoring approach. This study presents a crowdsourced sampling campaign and strategies of method selection for 100 m scale PM2.5 mapping in an intra-urban area of China. During this process, PM2.5 concentrations were measured by laser air quality monitors through a group of volunteers during two 5 h periods. Three extensively employed modelling methods (ordinary kriging, OK; land use regression, LUR; and regression kriging, RK) were adopted to evaluate the performance. An interesting finding is that PM2.5 concentrations in micro-environments varied in the intra-urban area. These local PM2.5 variations can be easily identified by crowdsourced sampling rather than national air quality monitoring stations. The selection of models for fine-scale PM2.5 concentration mapping should be adjusted according to the changing sampling and pollution circumstances. During this project, OK interpolation performs best in conditions with non-peak traffic situations during a lightly polluted period (holdout validation R2: 0.47–0.82), while the RK modelling can perform better during the heavily polluted period (0.32–0.68) and in conditions with peak traffic and relatively few sampling sites (fewer than ∼100) during the lightly polluted period (0.40–0.69). Additionally, the LUR model demonstrates limited ability in estimating PM2.5 concentrations on very fine spatial and temporal scales in this study (0.04–0.55), which challenges the traditional point about the good performance of the LUR model for air pollution mapping. This method selection strategy provides empirical evidence for the best method selection for PM2.5 mapping using crowdsourced monitoring, and this provides a promising way to reduce the exposure risks for individuals in their daily life.


Author(s):  
Marcello Vultaggio ◽  
Daniela Varrica ◽  
Maria Grazia Alaimo

At the end of 2019, the first cases of coronavirus disease (COVID-19) were reported in Wuhan, China. Thereafter, the number of infected people increased rapidly, and the outbreak turned into a national crisis, with infected individuals all over the country. The COVID-19 global pandemic produced extreme changes in human behavior that affected air quality. Human mobility and production activities decreased significantly, and many regions recorded significant reductions in air pollution. The goal of our investigation was to evaluate the impact of the COVID-19 lockdown on the concentrations of the main air pollutants in the urban area of Palermo (Italy). In this study, the trends in the average concentrations of CO, NO2, O3, and PM10 in the air from 1 January 2020 to 31 July 2020 were compared with the corresponding average values detected at the same monitoring stations in Palermo during the previous five years (2015–2019). During the lockdown period (10 March–30 April), we observed a decrease in the concentrations of CO, NO2, and particulate matter (PM)10, calculated to be about 51%, 50%, and 45%, respectively. This confirms that air pollution in an urban area is predominantly linked to vehicular traffic.


Author(s):  
Sirajuddin M Horaginamani ◽  
M Ravichandran

Though water and land pollution is very dangerous, air pollution has its own peculiarities, due to its transboundary dispersion of pollutants over the entire world. In any well planned urban set up, industrial pollution takes a back seat and vehicular emissions take precedence as the major cause of urban air pollution. Air pollution is one of the serious problems faced by the people globally, especially in urban areas of developing countries like India. All these in turn lead to an increase in the air pollution levels and have adverse effects on the health of people and plants. Western countries have conducted several studies in this area, but there are only a few studies in developing countries like India. A study on ambient air quality in Tiruchirappalli urban area and its possible effects selected plants and human health has been undertaken, which may be helpful to bring out possible control measures. Keywords: ambient air quality; respiratory disorders; APTI; human health DOI: 10.3126/kuset.v6i2.4007Kathmandu University Journal of Science, Engineering and Technology Vol.6. No II, November, 2010, pp.13-19


2020 ◽  
Vol 208 ◽  
pp. 01019
Author(s):  
Natalya Frolova

The article analyzes the global environmental problem in its traditional aspects, such as a decrease in forest area, degradation of land resources, air pollution, as well as in its new features - a global pandemic. The article initially presents the concept of a global environmental problem from the perspective of foreign and domestic scientists, as well as international organizations. Further, the analysis of the manifestation of the global environmental problem is carried out in terms of quantitative indicators: reduction of forest area, land degradation, air pollution. The author outlines such an aspect of a global environmental problem as zoonotic infections, that is, the transfer of viruses from animals to humans. Under new conditions, the spread of viruses is accelerating, they easily overcome the species barrier, cause infection of the human body. The transmission of viruses on a global scale is becoming a new reality. At the same time, there are also “side” manifestations of the virus associated with its impact on the socio-economic development of individual countries, the impact on the policy of world economic relations. In conclusion, the author describes specific ways of solving the global environmental problem, both for individual countries and the world in general.


2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Pravitra Oyjinda ◽  
Nopparat Pochai

A rapid industrial development causes several environment pollution problems. One of the main problems is air pollution, which affects human health and the environment. The consideration of an air pollutant has to focus on a polluted source. An industrial factory is an important reason that releases the air pollutant into the atmosphere. Thus a mathematical model, an atmospheric diffusion model, is used to estimate air quality that can be used to describe the sulfur dioxide dispersion. In this research, numerical simulations to air pollution measurement near industrial zone are proposed. The air pollution control strategies are simulated to achieve desired pollutant concentration levels. The monitoring points are installed to detect the air pollution concentration data. The numerical experiment of air pollution consisted of different situations such as normal and controlled emissions. The air pollutant concentration is approximated by using an explicit finite difference technique. The solutions of calculated air pollutant concentration in each controlled and uncontrolled point source at the monitoring points are compared. The air pollutant concentration levels for each monitoring point are controlled to be at or below the national air quality standard near industrial zone index.


Author(s):  
Z. Ghaemi ◽  
M. Farnaghi ◽  
A. Alimohammadi

The critical impact of air pollution on human health and environment in one hand and the complexity of pollutant concentration behavior in the other hand lead the scientists to look for advance techniques for monitoring and predicting the urban air quality. Additionally, recent developments in data measurement techniques have led to collection of various types of data about air quality. Such data is extremely voluminous and to be useful it must be processed at high velocity. Due to the complexity of big data analysis especially for dynamic applications, online forecasting of pollutant concentration trends within a reasonable processing time is still an open problem. The purpose of this paper is to present an online forecasting approach based on Support Vector Machine (SVM) to predict the air quality one day in advance. In order to overcome the computational requirements for large-scale data analysis, distributed computing based on the Hadoop platform has been employed to leverage the processing power of multiple processing units. The MapReduce programming model is adopted for massive parallel processing in this study. Based on the online algorithm and Hadoop framework, an online forecasting system is designed to predict the air pollution of Tehran for the next 24 hours. The results have been assessed on the basis of Processing Time and Efficiency. Quite accurate predictions of air pollutant indicator levels within an acceptable processing time prove that the presented approach is very suitable to tackle large scale air pollution prediction problems.


Dela ◽  
2016 ◽  
pp. 67-88
Author(s):  
Katja Vintar Mally

This article presents the results of research examining perceptions of air quality in the city of Ljubljana based on extensive interviews. Perceptions of air quality are also compared with perceptions of other environmental problems, as well as to data from air quality monitoring in the study area. The findings suggest that residents perceive air pollution as a major environmental problem in the city and that people remain firmly convinced of Ljubljana’s poor air quality despite its overall improvement.


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