Diego Arias-Arana , Elena Montilla-Rosero , Omar Calderón-Losada , John H. Reina
{"title":"Correlating particulate matter and planetary boundary layer dynamics in northwestern South America: A case study of Santiago de Cali","authors":"Diego Arias-Arana , Elena Montilla-Rosero , Omar Calderón-Losada , John H. Reina","doi":"10.1016/j.apr.2024.102352","DOIUrl":null,"url":null,"abstract":"<div><div>The relationship between particulate matter (PM) levels and planetary boundary layer height (PBLH) is investigated in Santiago de Cali, a tropical city located above the equator in southwestern Colombia, in the northwestern region of South America. Correlations are studied during both the dry and wet seasons, at different locations of local air quality stations, and under different wind regimes. Hourly estimates of PBL height are derived from Lidar signals using the Extended Kalman Filter (EKF) method, while Bayesian linear regression is used to quantify the PM-PBLH correlation. The results indicate a negative correlation between PM and PBLH, observed during both dry and wet seasons. Furthermore, the location of the observation can influence the relationship between the variables. The correlation is negative for stations located near the western foothills, although the strength of this relationship is reduced at the easternmost air quality station, while a positive correlation was observed at the rural background station. We analyzed the air mass transport regimes for these stations using bivariate plots and cluster analysis, and were able to identify local and distant potential pollution sources that could explain the PM-PBLH correlation behavior. This study advances our understanding of PBL height, its temporal evolution, and its relationship with PM<sub>10</sub> and PM<sub>2.5</sub> in a Colombian tropical Andean city characterized by distinct dry and wet seasons and complex topography and wind patterns.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 3","pages":"Article 102352"},"PeriodicalIF":3.9000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1309104224003179","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The relationship between particulate matter (PM) levels and planetary boundary layer height (PBLH) is investigated in Santiago de Cali, a tropical city located above the equator in southwestern Colombia, in the northwestern region of South America. Correlations are studied during both the dry and wet seasons, at different locations of local air quality stations, and under different wind regimes. Hourly estimates of PBL height are derived from Lidar signals using the Extended Kalman Filter (EKF) method, while Bayesian linear regression is used to quantify the PM-PBLH correlation. The results indicate a negative correlation between PM and PBLH, observed during both dry and wet seasons. Furthermore, the location of the observation can influence the relationship between the variables. The correlation is negative for stations located near the western foothills, although the strength of this relationship is reduced at the easternmost air quality station, while a positive correlation was observed at the rural background station. We analyzed the air mass transport regimes for these stations using bivariate plots and cluster analysis, and were able to identify local and distant potential pollution sources that could explain the PM-PBLH correlation behavior. This study advances our understanding of PBL height, its temporal evolution, and its relationship with PM10 and PM2.5 in a Colombian tropical Andean city characterized by distinct dry and wet seasons and complex topography and wind patterns.
期刊介绍:
Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.