Improving Air Quality in Lisbon: modelling emission abatement scenarios

Monjardino, Joana; Barros, Nelson; Ferreira, Francisco; Tente, Hugo; Fontes, Tânia; Pereira, Paulo; Manso, Maria Conceição

doi:10.1016/j.ifacol.2018.06.211

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…The increase in PM 2.5 during LD, also in dispersive conditions, is shown in Fig 4 , which depicts a more detailed representation of PM 2.5 and PM 10 concentration data in Lisbon. In traffic monitoring stations, both PM 2.5 and PM 10 concentrations benefit from the substantial reduction of urban traffic during LD [ 20 ]. This is not the case in background stations, where a slight increase of PM 2.5 , whose levels mainly result from secondary processes occurring in the larger city domain, is observed in LD20 compared to previous years.…”

Section: Resultsmentioning

confidence: 99%

The greatest air quality experiment ever: Policy suggestions from the COVID-19 lockdown in twelve European cities

et al. 2022

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COVID-19 (Coronavirus disease 2019) hit Europe in January 2020. By March, Europe was the active centre of the pandemic. As a result, widespread "lockdown" measures were enforced across the various European countries, even if to a different extent. Such actions caused a dramatic reduction, especially in road traffic. This event can be considered the most significant experiment ever conducted in Europe to assess the impact of a massive switch-off of atmospheric pollutant sources. In this study, we focus on in situ concentration data of the main atmospheric pollutants measured in twelve European cities, characterized by different climatology, emission sources, and strengths. We propose a methodology for the fair comparison of the impact of lockdown measures considering the non-stationarity of meteorological conditions and emissions, which are progressively declining due to the adoption of stricter air quality measures. The analysis of these unmatched circumstances allowed us to estimate the impact of a nearly zero-emission urban transport scenario on air quality in 12 European cities. The clearest result, common to all the cities, is that a dramatic traffic reduction effectively reduces NO2 concentrations. In contrast, each city’s PM and ozone concentrations can respond differently to the same type of emission reduction measure. From the policy point of view, these findings suggest that measures targeting urban traffic alone may not be the only effective option for improving air quality in cities.

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Section: Resultsmentioning

confidence: 99%

The greatest air quality experiment ever: Policy suggestions from the COVID-19 lockdown in twelve European cities

et al. 2022

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“…Many researchers use it to solve complicated decision-making problems [20][21][22][23][24][25]. Improving air quality and modeling emissions reduction scenarios were discussed by J. Monjardino et al [26]. Some developments of this method of research also are discussed here.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As per the algorithm, we get the normalized performance values as fuzzy numbers. The conversion of these fuzzy numbers, viz., the defuzzification, is done using Equation (26). These numbers are denoted as Best Non-fuzzy Performance (BNP) numbers.…”

Section: Stpe 5: Defuzzificationmentioning

confidence: 99%

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A Distinctive Symmetric Analyzation of Improving Air Quality Using Multi-Criteria Decision Making Method under Uncertainty Conditions

et al. 2020

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This world has a wide range of technologies and possibilities that are available to control air pollution. Still, finding the best solution to control the contamination of the air without having any impact on humans is a complicated task. This proposal helps to improve the air quality using the multi-criteria decision making method. The decision to improve air quality is a challenging problem with today’s technology and environmental development level. The multi-criteria decision making method is quite often faced with conditions of uncertainty, which can be tackled by employing fuzzy set theory. In this paper, based on an objective weighting method (CCSD), we explore the improved fuzzy MULTIMOORA approach. We use the classical Interval-Valued Triangular Fuzzy Numbers (IVTFNs), viz. the symmetric lower and upper triangular numbers, as the basis. The triangular fuzzy number is identified by the triplets; the lowest, the most promising, and the highest possible values, symmetric with respect to the most promising value. When the lower and upper membership functions are equated to one, we get the normalized interval-valued triangular fuzzy numbers, which consist of symmetric intervals. We evaluate five alternatives among the four criteria using an improved MULTIMOORA method and select the best method for improving air quality in Tamil Nadu, India. Finally, a numerical example is illustrated to show the efficiency of the proposed method.

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“…Notwithstanding, fleets equipped with old engines running on conventional diesel remain relevant. Such is the case of cities such as Lisbon in Portugal where 89% of the urban diesel buses for public transport have Euro 3 or 2 of 14 earlier regulations [1], or Athens in Greece where 85% of the fleet of urban diesel buses for public transport also have E3 or previous regulations [2]. Even in countries known for their high environmental awareness, such as France, roughly 25% of their global bus fleet maintain these old regulations [3].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on Emissions Characteristics from Urban Bus Fueled with Diesel, Biodiesel and an Oxygenated Additive from Residual Glycerin from Biodiesel Production

et al. 2021

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The aim of the study was to assess the influence of the addition of an oxygenated additive (a mixture of mono-, di- and triacetylglycerol obtained from residual glycerin within the biodiesel production scheme) on the specific fuel consumption and exhaust emissions of a EURO 3 diesel bus during its daily route through the city. To do this, the urban bus was fuelled with five fuel blends of diesel (D), biodiesel (B), additive (A) and heptanol as co-surfactant (H). A portable emissions measurement system was used to measure the exhaust gases while an engine exhaust particle system with a dilution system, both installed on the urban bus, was used for nanoparticles measurement in actual operating conditions through the city of Seville. Results showed that B95A5 (95%v/v biodiesel, 5%v/v additive) and B90A10 were the blends that most increased NOx emissions (by 24.12% and 9.85%, respectively) compared to D100. On the other hand, B47.5D47.5A2.5H2.5 was the blend that most reduced total particle number (by 31.6%) and NOx emissions (by 12%). All in all, the oxygenated additive can be efficiently blended with biodiesel to reduce particle emissions from engines without diesel particle filter, such as those in urban buses in many European cities.

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Improving Air Quality in Lisbon: modelling emission abatement scenarios

Cited by 7 publications

References 8 publications

The greatest air quality experiment ever: Policy suggestions from the COVID-19 lockdown in twelve European cities

The greatest air quality experiment ever: Policy suggestions from the COVID-19 lockdown in twelve European cities

A Distinctive Symmetric Analyzation of Improving Air Quality Using Multi-Criteria Decision Making Method under Uncertainty Conditions

Experimental Investigation on Emissions Characteristics from Urban Bus Fueled with Diesel, Biodiesel and an Oxygenated Additive from Residual Glycerin from Biodiesel Production

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