Experience from Integrated Air Quality Management in the Mexico City Metropolitan Area and Singapore

Molina,; Velasco, Erik; Retama,; Zavala,

doi:10.3390/atmos10090512

Cited by 97 publications

(94 citation statements)

References 113 publications

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“…In this analysis, the satellite-model (total column) ratio was compared versus the observations-model ratio (in surface). al., , Molina L.T. et al, 2019).…”

Section: Comparisons Between Measured Data and Model Resultsmentioning

confidence: 99%

Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study

Maldonado-Pacheco

García-Reynoso

Stremme

et al. 2021

ATM

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This paper quantifies and reduces the differences in emissions from the 2008 inventory with respect to the real ones through the use of satellite observations and modeling. Carbon monoxide column comparisons from the Infrared Atmospheric Sounding Interferometer (IASI) satellite data were made against columns obtained from the WRF-Chem model, during the February month 2011. The analysis was carried out at the satellite passage local time (approximately 10:00 a.m.) over Mexico City. The 2008 national emissions inventory generated by the Ministry of Environment and Natural Resources (SEMARNAT) was employed. An inversion method was applied with the modeled and observed column data. With the above, scaling factors were obtained for 5 regions and the concentration from the model domain boundaries, which were used to update the emissions. The updated emissions were employed in modeling and the result was compared with surface measurements. For Mexico City and the Metropolitan Area, a scaling factor equal to 0.43 was obtained when using the 2008 emissions inventory; For Toluca, Morelos and Puebla, a less than one factor was estimated, while for Hidalgo and the concentration from model boundaries were close to two. The model performance was improved by an increment in the agreement index and a reduction on the mean square error when the updated CO emissions were used. initial results. Geophysical Research Letters, 33: L22806.

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“…In this analysis, the satellite-model (total column) ratio was compared versus the observations-model ratio (in surface). al., , Molina L.T. et al, 2019).…”

Section: Comparisons Between Measured Data and Model Resultsmentioning

confidence: 99%

Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study

Maldonado-Pacheco

García-Reynoso

Stremme

et al. 2021

ATM

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“…This study found that a special strategy is needed to explain the causal pathways that link the factors of population movement, increased urban activity, and its effects on aspects of human health. Fourth, a study was conducted by Molina, L.T [48], by analyzing the effect of population growth and increased energy consumption in urban areas. This study compares the policies implemented in the Metropolitan area of Mexico City and Singapore and offers air pollution management to protect public health and the environment.…”

Section: Review Theorymentioning

confidence: 99%

The Complexity of Space Utilization and Environmental Pollution Control in the Main Corridor of Makassar City, South Sulawesi, Indonesia

et al. 2020

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Population mobility, increasing demand for transportation, and the complexity of land use have an impact on environmental quality degradation and air quality pollution. This study aims to analyze (1) the effect of population mobility, increased traffic volume, and land use change on air quality pollution, (2) direct and indirect effects of urban activities, transportation systems, and movement patterns on environmental quality degradation and air pollution index, and (3) air pollution strategy and sustainable urban environmental management. The research method used is a sequential explanation design. Data were obtained through observation, surveys, in-depth interviews, and documentation. The results of the study illustrate that the business center and Daya terminal with a value of 0.18 µgram/m3 is polluted, the power plant and Sermani industrial area with a value of 0.16 µgram/m3 is polluted, the Makassar industrial area with a value of 0.23 is heavily polluted, and the Hasanuddin International Airport area with a value of 0.04 µgram/m3 is not polluted. Population mobility, traffic volume, and land use changes have a significant effect on environmental quality degradation, with a determination coefficient of 94.1%. The direct effect of decreasing environmental quality on the air pollution index is 66.09%. This study recommends transportation management on the main road corridor of Makassar City, which is environmentally friendly with regard to sustainable environmental management.

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“…In relation with vehicular emission, Singapore provides a successful precedent with its policies. Singapore combines traffic management, promotion of public transport and regulatory policies to reduce the number of cars [25]. Policies such as road-pricing schemes, vehicle inspection and elimination of old cars can be considered to be implemented in Jakarta.…”

Section: Evaluating Datamentioning

confidence: 99%

Evaluation of Ambient Air Quality Monitoring System in Jakarta: A Literatur Review

Gunawan

Asyahira

Sidjabat

2019

JSE

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<p>As the first step to air pollution control and public health protection, Air quality monitoring systems provides information that indicate the extend of pollution in an area, the source of pollution and the types of pollutants. Therefore, the aim of this study is to evaluate Jakarta’s air quality monitoring system by comparing it to the US, which participates in Indonesia’s air quality monitoring system by using their own system. In specific, parameters such as air quality index, monitoring stations, regulation and data availability are to be compared through reviewing various literatures in detail. The result obtained shows that the monitoring station amount is already ideal and complies to the U.S regulation. Indonesia’s ambient air quality standard need to be stricter and Air Pollutant Standard Index should include PM<sub>2.5</sub> as a parameter obtains significantly better results. Air quality data is available and accessible, although it needs to be integrated and provide real time information in a simple and effective way.</p>

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Experience from Integrated Air Quality Management in the Mexico City Metropolitan Area and Singapore

Cited by 97 publications

References 113 publications

Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study

Carbon monoxide emissions assessment by using satellite and modeling data: Central Mexico case study

The Complexity of Space Utilization and Environmental Pollution Control in the Main Corridor of Makassar City, South Sulawesi, Indonesia

Evaluation of Ambient Air Quality Monitoring System in Jakarta: A Literatur Review

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