Evaluation of the air pollution in a Mediterranean region by the air quality index

Monforte, Pietro; Ragusa, Maria Alessandra

doi:10.1007/s10661-018-7006-7

Cited by 31 publications

(24 citation statements)

References 28 publications

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“…In terms of urban density research on air pollution, mainstream economics argues that urban low-density spread exacerbates the challenge of open space protection, leading to poor air quality [14]. Low-density urban sprawl can lead to longer commutes, excessive motor vehicle dependence, and increased emissions, resulting in higher concentrations of air pollutants [15][16][17][18][19]. Ewing et al studied the impact of low-density urban sprawl on tra c in 83 large cities in the United States from 1990 to 2000.…”

Section: Introductionmentioning

confidence: 99%

Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM_2.5 Data

Liu

2019

Discrete Dynamics in Nature and Society

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Based on the PM 2.5 concentration data of 253 prefecture-level cities, it empirically investigated the e ect of urban density on PM 2.5 concentration in China using spatial econometric regression method. e results show that there is a spatial spillover e ect of PM 2.5 concentration in China. e coe cient of urban density is signi cantly negative, and the increase in urban density will reduce haze pollution. In order to reduce haze pollution in Chinese cities, it is necessary to continue to implement regional joint prevention and control measures. e eastern region should focus on building small blocks and high-density networks to reduce haze pollution. e central region should focus on urban greening, increase green coverage, and reduce the heat island e ect. While improving the level of greening in the western region, we should increase urban density, reduce urban sprawl, and build compact cities.Hindawi

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Section: Introductionmentioning

confidence: 99%

Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM_2.5 Data

Liu

2019

Discrete Dynamics in Nature and Society

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“…Time series analysis of air pollution metrics regulated by the national and European legislation (daily concentration of PM 10 , 8-h running average of ozone and carbon monoxide, and hourly average of sulfur dioxide and nitrogen dioxide concentrations) classifies Priolo air quality as "low polluted" (Monforte and Ragusa, 2018). The lack of markers typical of industrial emissions in this kind of analysis, like non-methane hydrocarbons, might bias the results (Abita et al, 2019).…”

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confidence: 99%

Air Quality Characterization at Three Industrial Areas in Southern Italy

Perrino

Gilardoni

Landi

et al. 2020

Front. Environ. Sci.

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Outdoor air pollution is responsible for more than 4 million premature deaths worldwide and its contribution is particularly severe in industrial contaminated sites, where epidemiological studies highlight often mortality rate larger than the national average. In the framework of the CISAS project, this study investigates spatial and temporal variability of air pollution across three industrial contaminated sites in southern Italy classified as "High Risk Area of Environmental Crisis": Crotone, Milazzo, and Priolo. The environmental analysis employed three investigation approaches:-meteorological characterization of the sites with analyses of local air mass circulation;-statistical evaluation of the continuous measurements of gaseous pollutants and PM concentration;-determination of mass concentration and detailed speciation of the chemical components of atmospheric particulate matter during intensive field campaigns. Continuous trace gases and aerosol measurements (including NOx, SO 2 , O 3 , NMHC, PM 10 , and PM 2.5 ) over the period 2016-2018 were analyzed, and specific intensive field experiments (2016-2017), representative of winter and summer conditions, were carried out in order to determine PM 10 and PM 2.5 chemical composition. The analyses of PM components (ions, elemental composition, trace organic pollutants, organic carbon, and elemental carbon) show concentrations typical of rural and urban areas. The results concerning gaseous pollutants and PM concentration showed a general compliance of the concentrations of some regulated species with the limits set by the EU Ambient Air Quality (AAQ) Directive. However, in particular in the industrial areas of Milazzo and Priolo, the analysis here reported highlights the need for a stringent regulation on NMHC ambient concentration and composition, further investigation of fine particle composition and atmospheric processing, and a deeper understanding of the role of anthropogenic emissions on ozone formation, also considering the World Health Organization (WHO) limits.

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“…Step 7: Derive the leaving flow ϕ + , entering flow ϕ − , and net flow ϕ(A i ) by Equations (10) and (11). Subsequently, rank the alternatives and analyze the results, finally put the policy suggestions based on the analysis above forward.…”

Section: Evaluate Proceduresmentioning

confidence: 99%

“…Thus, environmental governance still needs further improvement to practically increase the air quality. As air pollution has become a hot topic, lots of studies focus on the analysis of air pollution [6][7][8][9][10][11][12][13][14]. Combined with the data from national environmental monitoring center, the air pollution in China was evaluated, and it was found that there were significant differences [15,16].…”

Section: Introductionmentioning

confidence: 99%

Evaluate Air Pollution by Promethee Ranking in Yangtze River Delta of China

Chen

et al. 2020

IJERPH

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A series of problems that are related to population, resources, environment, and ecology have emerged in recent years with the advancement of industrialization and urbanization in China. Especially, air pollution has become a severe trouble that directly endangers the health of residents. Accordingly, it is a need to make the assessment of air quality among cities, so that corresponding measures can be taken. For this purpose, ten major cities are selected as the research objects in Yangtze River Delta. Additionally, this study gathers and processes the data of five main air pollutants PM2.5, PM10, SO2, O3, and NO2, respectively. Furthermore, the maximizing deviation method is used to obtain the respective weight of these pollutants and the preference ranking organization method for enrichment evaluations (PROMETHEE) is introduced into the assessment of air quality among ten cities. As a result, the ranking of air quality in Ningbo, Wenzhou, Shanghai, and Shaoxing was at the fore from 2014 to 2017. Meanwhile, the performance of Ningbo has always kept the top two and Shaoxing’s ranking has risen since 2015. In addition, the air quality of Changzhou, Suzhou and Hangzhou was at an average level in the past four years. Moreover, the performance of Nanjing, Wuxi, and Zhenjiang was terrible when compared to other cities. Some useful suggestions have been proposed to control air quality based on the ranking results.

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Evaluation of the air pollution in a Mediterranean region by the air quality index

Cited by 31 publications

References 28 publications

Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM_2.5 Data

Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM_2.5 Data

Air Quality Characterization at Three Industrial Areas in Southern Italy

Evaluate Air Pollution by Promethee Ranking in Yangtze River Delta of China

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Evaluation of the air pollution in a Mediterranean region by the air quality index

Cited by 31 publications

References 28 publications

Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM2.5 Data

Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM2.5 Data

Air Quality Characterization at Three Industrial Areas in Southern Italy

Evaluate Air Pollution by Promethee Ranking in Yangtze River Delta of China

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Product

Resources

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Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM_2.5 Data

Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM_2.5 Data