Tropospheric pollutants including surface ozone (O), nitrogen dioxide (NO), carbon monoxide (CO) and meteorological parameters were measured at a traffic junction (78°2' E and 27°11' N) in Agra, India from January 2012 to December 2012. Temporal analysis of pollutants suggests that annual average mixing ratios of tropospheric pollutants were: O - 22.97±23.36ppbV, NO - 19.84±16.71ppbV and CO - 0.91±0.86ppmV, with seasonal variations of O having maximum mixing ratio during summer season (32.41±19.31ppbV), whereas lowest was found in post-monsoon season (8.74±3.8ppbV). O precursors: NO and CO, showed inverse relationship with O. Seasonal variation and high O episodes during summer are associated with meteorological parameters such as high solar radiation, atmospheric temperature and transboundary transport. The interdependence of these variables showed a link between the daytime mixing ratios of O with the nighttime level of NO. The mixing ratios of CO and NO showed tight correlations, which confirms the influence of vehicular emissions combined with other anthropogenic activities due to office/working hours, shallowing, and widening of boundary layer. FLEXTRA backward trajectories for the O episode days clearly indicate the transport from the NW and W to S/SE and SW direction at Agra in different seasons.
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http://dx.doi.org/10.1016/j.jes.2017.02.008 | DOI Listing |
Environ Geochem Health
January 2025
Environment Research Laboratory, Faculty of Science, Nepal Academy of Science and Technology, Khumaltar, Lalitpur, Nepal.
A comprehensive hydrogeochemical analysis of 156 groundwater samples (106 shallow and 50 deep) was conducted in the Kathmandu Valley, Nepal. This study addresses a significant research gap by focusing on the hydro-geochemical composition and contamination of groundwater in the Kathmandu Valley, an area with limited detailed assessments. The novelty of this work lies in its comprehensive analysis of both shallow and deep groundwater, particularly concerning the high concentration of contaminants like arsenic, microbial pathogens, and ammonium, which are critical for public health.
View Article and Find Full Text PDFObesity (Silver Spring)
February 2025
Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Objective: The objective was to evaluate the longitudinal patterns of central and general obesity, identify their genetic and behavioral risk determinants, and investigate the association of distinct obesity trajectories beyond middle age with subsequent cognitive decline and the risk of developing dementia in late life.
Methods: Using a nationally representative, longitudinal, community-based cohort, we examined trajectory patterns of obesity over a 14-year span beyond middle age employing latent mixture modeling. We then evaluated their relationship with subsequent cognitive decline through linear mixed models and with the risk of developing dementia using Cox models, adjusting for confounding variables.
Med J Armed Forces India
July 2024
Associate Professor (Clinical Toxicology), Isfahan Clinical Toxicology Research Center, School of Medicine, Khorshid Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: Our objective of this study was to evaluate patients of Selective Serotonin Reuptake Inhibitors (SSRIs) overdose and compare the toxicological effects of citalopram overdose with other SSRIs in adult poisoning cases.
Methods: This cross-sectional study focused on acute, known-type SSRI ingestions. Demographic and toxicological data were collected on the patients.
BMC Health Serv Res
January 2025
Médecins Sans Frontières, London, UK.
Background: The Somali region in Ethiopia has poor health infrastructure, coupled with the adversity experienced by the largely pastoralist population through frequent droughts, disease outbreaks and conflict. From January 2019, MSF strategically focused on improving access to primary healthcare in the Doolo zone of the Somali region by providing 15-20 mobile clinics covering a wide geographical area. We aimed to evaluate the extent to which mobile clinics were an appropriate and effective modality to deliver healthcare for populations living in the region.
View Article and Find Full Text PDFBMC Public Health
January 2025
Ministère de la Santé et de l'Action Sociale (MHSA), Dakar, Senegal.
Introduction: In Senegal, the Routine Health Information System (RHIS) captures the majority of data from the Ministry of Health and Social Action (MHSA) public structures and very little health data from the private sector and other ministerial departments. Quality data strengthens the validity and reliability of research results. Common areas of data quality include accuracy, completeness, consistency, credibility, and timeliness.
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