Assessment of the Air Pollution Level in the City of Rome (Italy)

Battista, Gabriele; Pagliaroli, Tiziano; Mauri, Luca; Basilicata, Carmine; Vollaro, Roberto De Lieto

doi:10.3390/su8090838

Cited by 34 publications

(12 citation statements)

References 38 publications

(12 reference statements)

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“…The issue related to the assessment of air pollution/air quality has been widely engaged by empirical researchers for different geographical locations, and various approaches have been used to investigate this topic including land use regression modeling and mobile monitoring [29][30][31] , statistical analysis [32], multivariate analysis (including hierarchical agglomerate cluster analysis, principal component analysis, and multiple linear regression) [33,34], the proposed use of the air quality index [35], and the atmosphere evaluation and research integrated model [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information

2021

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Assessment of and controlling air pollution are urgent global issues where international cooperation is deemed necessary. Although a very relevant data source can be obtained through continuous monitoring of air quality, measuring air pollutant concentrations is quite difficult when compared to other environmental indicators. We mainly have three different aims for the current study: (1) we propose the computation of the interval weights of decision makers (DMs) based on a group multiple criteria decision making (GMCDM) model; (2) we aim to rank the overall preferences of DMs by the possibility concepts; (3) we aim to evaluate the air quality in China using the most recent data based on our proposed method. We consider three monitoring stations, namely Luhu Park, Wanqingsha, and Tianhu, and the data for SO2, NO2, and PM10 are collected for November 2017, 2018, and 2019. The results from our innovative model show that November 2019 had the best air quality. Finally, robustness analyses are also performed to confirm the discriminatory power of the proposed approach.

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Section: Literature Reviewmentioning

confidence: 99%

Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information

2021

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“…Thus, to address this issue, two statistical extreme-value models for extreme events have been developed, namely the generalized extreme-value (GEV) and generalized Pareto distribution (GPD) models [10,11]. Both models have been found to be useful tools for providing good insights into the behaviors of extreme air pollution events [12][13][14][15][16][17][18][19][20][21]. For example, Al-Dhurafi et al [12] employed the GPD model to represent probability distributions in an unhealthy air pollution index for three highly polluted urban areas in Peninsular Malaysia.…”

Section: Introductionmentioning

confidence: 99%

“…Reyes et al [19] provided an estimation of the high ozone levels trend for seven of the meteorological stations located in the Metropolitan Area of Mexico city using the quantile function determined from a fitted GEV model. Battista et al [21] evaluated the behavior of the air pollution level in the city of Rome (Italy) using the GEV model. Overall, all of these studies found that the results obtained with extreme-value models provided valuable information to use as a basis of managing the risk of air pollution events.…”

Section: Introductionmentioning

confidence: 99%

Mixed POT-BM Approach for Modeling Unhealthy Air Pollution Events

Masseran

Safari

2021

IJERPH

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This article proposes a novel data selection technique called the mixed peak-over-threshold–block-maxima (POT-BM) approach for modeling unhealthy air pollution events. The POT technique is employed to obtain a group of blocks containing data points satisfying extreme-event criteria that are greater than a particular threshold u. The selected groups are defined as POT blocks. In parallel with that, a declustering technique is used to overcome the problem of dependency behaviors that occurs among adjacent POT blocks. Finally, the BM concept is integrated to determine the maximum data points for each POT block. Results show that the extreme data points determined by the mixed POT-BM approach satisfy the independent properties of extreme events, with satisfactory fitted model precision results. Overall, this study concludes that the mixed POT-BM approach provides a balanced tradeoff between bias and variance in the statistical modeling of extreme-value events. A case study was conducted by modeling an extreme event based on unhealthy air pollution events with a threshold u > 100 in Klang, Malaysia.

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“…Air pollution in recent years has become a serious environmental problem affecting people's health and lives [1][2][3]. Frequent exceeding the permissible limits of air pollution, especially in urban agglomerations [4][5][6][7], leads to trends limiting the emission of harmful factors in all branches of industry. Many years of efforts to limit emissions from internal combustion engines have led to a significant reduction in the production of unfavourable combustion products by this group of emitters.…”

Section: Introductionmentioning

confidence: 99%

The problems of measuring the temperature of the small engines (SI) on the example of a drive for non-road mobile machines

2019

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Modern drive units designed for driving non-road machines are characterized by liberal regulations regarding the limits of toxic compounds emission in exhaust gases. These regulations contribute to the low level of technical advancement of this type of drive units. Among the new non-road small engines (SI) offered in the sale in 2018 in the European Union, the majority of them are equipped with carburettor systems whose fuel supply characteristics do not allow to achieve modern fuel-air mixture control standards. Therefore, action should be taken to develop these drive units towards electronic control of combustion processes in these engines, which will allow the use of innovative control algorithms. One of the basic signals supporting the selection of the air-fuel mixture is the engine temperature. The paper presents an overview of the methods for measuring the temperature of internal combustion engines and presents the results of research on the process of warming up the engine. The tests were carried out with three methods using an oil temperature sensor, a surface temperature sensor and a thermal imaging camera. An attempt was made to indicate construction guidelines taking into account the place of temperature measurement, correction factors were determined in relation to the oil temperature. The developed coefficients can be used to precisely determine the thermal state of the engine, which is an important aspect in the process of controlling the fuel-air mixture and affects its consumption.

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Assessment of the Air Pollution Level in the City of Rome (Italy)

Cited by 34 publications

References 38 publications

Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information

Air Pollution Assessment in China: A Novel Group Multiple Criteria Decision Making Model under Uncertain Information

Mixed POT-BM Approach for Modeling Unhealthy Air Pollution Events

The problems of measuring the temperature of the small engines (SI) on the example of a drive for non-road mobile machines

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