Assessment of air quality in the Aburrá Valley (Colombia) using composite indices: Towards comprehensive sustainable development planning

Pineda, Abraham Allec Londoño; Cano, José Alejandro

doi:10.1016/j.uclim.2021.100942

Cited by 9 publications

(4 citation statements)

References 65 publications

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“…Thus, a maximum columnar value of 0.49 of fine-mode AOD contains an aerosol signal within the boundary layer of 56 µg m –3 of PM 2.5 , on average. An important aspect that plays a role in the development of pollution events at Medellin is that it is situated within the Aburra valley, where mountains surrounding the area make it difficult for local and transported contaminants to efficiently undergo dispersion 38 , 39 . The work by Casallas et al 37 suggests that urban PM 2.5 pollution from traffic has been mitigated in Medellin by implementing electric and hybrid public transportation in lieu of former fossil fuel-based transportation.…”

Section: Resultsmentioning

confidence: 99%

Latitudinal and temporal distribution of aerosols and precipitable water vapor in the tropical Andes from AERONET, sounding, and MERRA-2 data

Cazorla,

Giles,

Herrera

et al. 2024

Sci Rep

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The aerosol and precipitable water vapor (PW) distribution over the tropical Andes region is characterized using Aerosol Robotic Network (AERONET) observations at stations in Medellin (Colombia), Quito (Ecuador), Huancayo (Peru), and La Paz (Bolivia). AERONET aerosol optical depth (AOD) is interpreted using PM2.5 data when available. Columnar water vapor derived from ozone soundings at Quito is used to compare against AERONET PW. MERRA-2 data are used to complement analyses. Urban pollution and biomass burning smoke (BBS) dominate the regional aerosol composition. AOD and PM2.5 yearly cycles for coincident measurements correlate linearly at Medellin and Quito. The Andes cordillera’s orientation and elevation funnel or block BBS transport into valleys or highlands during the two fire seasons that systematically impact South America. The February–March season north of Colombia and the Colombian-Venezuelan border directly impacts Medellin. Possibly, the March aerosol signal over Quito has a long-range transport component. At Huancayo and La Paz, AOD increases in September due to the influence of BBS in the Amazon. AERONET PW and sounding data correlate linearly but a dry bias with respect to soundings was identified in AERONET. PW and rainfall progressively decrease from north to south due to increasing altitude. This regional diagnosis is an underlying basis to evaluate future changes in aerosol and PW given prevailing conditions of rapidly changing atmospheric composition.

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Section: Resultsmentioning

confidence: 99%

Latitudinal and temporal distribution of aerosols and precipitable water vapor in the tropical Andes from AERONET, sounding, and MERRA-2 data

Cazorla,

Giles,

Herrera

et al. 2024

Sci Rep

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“…Long-term exposure to PM 2.5 and other particles poses a significant threat to the health and well-being of residents and hinders the sustainable development of cities [58,59]. We aimed to summarize the past research progress related to PM 2.5 exposure and provide an automated, reusable, and extensible framework for a bibliometric analysis of the literature.…”

Section: Discussionmentioning

confidence: 99%

A Review of Global PM2.5 Exposure Research Trends from 1992 to 2022

Jia

Chen

et al. 2023

Sustainability

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Exposure to air pollutants of fine particulate matter (PM2.5) is a major threat to human health. Research on PM2.5 exposure has been on the rise in recent years, but there has been a lack of systematic literature analysis in this field. To address this research gap, we conducted a bibliometric analysis of the existing publications on PM2.5 exposure over the past three decades and analyzed the current state and historical trends of research using the open-access tool, KNIME. Our results show that the number of publications on PM2.5 exposure has been increasing at an accelerating rate over the last 30 years. The authors of the publications are primarily from developed nations, such as countries in North America, Europe, East Asia, and Oceania. Published research is mainly from the fields of Environmental Sciences and Ecology, Environmental Sciences, and Public, Environmental and Occupational Health. The main research hotspots are exposure, air pollution, and PM2.5. Research is trending toward the intersection and integration of multiple subjects. Our results highlight the rapid growth of PM2.5-related research and provide insights into the structure, impact, and trends of this interdisciplinary field.

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“…PM 2.5 pollution is closely related to several SDGs because long-term exposure to a PM 2.5 -polluted environment poses a great threat to the health of citizens. At the same time, the adverse effects of PM 2.5 pollution on the environment and climate change will further affect people's lifestyle, quality of life, and, ultimately, global economic and social development [2][3][4][5][6][7]. From a health perspective, PM 2.5 can enter the alveolar region via the respiratory tract, causing damage to the human respiratory system as well as the lungs [8,9], and excessive exposure to high levels of PM 2.5 increases the incidence of stroke, ischemic heart disease, cancer, and other related diseases.…”

Section: Introductionmentioning

confidence: 99%

Application of Trigonometric Polynomial Fitting Method in Simulating the Spatial Distribution of PM2.5 Concentration in South-Central China

Chen,

Li,

et al. 2023

Atmosphere

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Near-surface PM2.5 estimates remain a global scientific research challenge due to their effect on human fitness and atmospheric environmental quality. However, practical near-surface PM2.5 estimates are impeded by the incomplete monitoring data. In this study, we propose the trigonometric polynomial fitting (TPF) method to estimate near-surface PM2.5 concentrations in south-central China during 2015. We employ 10-fold cross-validation (CV) to assess the reliability of TPF in estimating practical PM2.5 values. When compared to alternative methods such as the orthogonal polynomial fitting (OBF) method based on Chebyshev basis functions, Kriging interpolation, and radial basis function (RBF) interpolation, our results show that utilizing TPF31, with a maximum order of 3 in the x direction and a maximum order of 1 in the y direction, leads to superior efficiency through error minimization. TPF31 reduces MAE and RMSE by 1.93%, 24%, 6.96% and 3.6%, 23.07%, 10.43%, respectively, compared to the other three methods. In addition, the TPF31 method effectively reconstructs the spatial distribution of PM2.5 concentrations in the unevenly distributed observation stations of Inner Mongolia and the marginal regions of the study area. The reconstructed spatial distribution is remarkably smooth. Despite the non-uniform distribution of observation stations and the presence of missing data, the TPF31 method demonstrates exceptional effectiveness in accurately capturing the inherent physical attributes of spatial distribution. The theoretical and experimental results emphasize that the TPF method holds significant potential for accurately reconstructing the spatial distribution of PM2.5 in China.

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Assessment of air quality in the Aburrá Valley (Colombia) using composite indices: Towards comprehensive sustainable development planning

Cited by 9 publications

References 65 publications

Latitudinal and temporal distribution of aerosols and precipitable water vapor in the tropical Andes from AERONET, sounding, and MERRA-2 data

Latitudinal and temporal distribution of aerosols and precipitable water vapor in the tropical Andes from AERONET, sounding, and MERRA-2 data

A Review of Global PM2.5 Exposure Research Trends from 1992 to 2022

Application of Trigonometric Polynomial Fitting Method in Simulating the Spatial Distribution of PM2.5 Concentration in South-Central China

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