Influences of boundary layer phenomena and meteorology on ambient air quality status of an urban area in eastern India

Abstract

RESUMENDe abril a mayo de 2014 se llevó a cabo el monitoreo y análisis de varios contaminantes atmosféricos como material particulado (PM 10 ), dióxido de azufre (SO 2 ), dióxido de nitrógeno (NO 2 ), ozono (O 3 ), monóxido de carbono (CO) y amoniaco (NH 3 ), así como de parámetros meteorológicos (temperatura, humedad, y velocidad y dirección del viento), en tres sitios diferenciados (un área con alta densidad de tráfico vehicular, un área residencial y un área industrial) en una zona urbana del este de la India. El promedio máximo de la concentración ), así como la concentración promedio por hora más alta de CO (3.846 mg/m 3 ) en el sitio industrial pueden atribuirse a las emisiones de las industrias circundantes. El cálculo de los índices de calidad del aire (AQI, por sus siglas en inglés) muestra que tanto el sitio 1 (un área de tráfico congestionado con AQI = 71.68) corresponden a una categoría moderada de contaminación, en tanto que el sitio 2 (un área residencial con AQI = 22.69) se considera limpio. Este estudio detallado revela que la variación en las concentraciones de diversos contaminantes es una manifestación del efecto combinado de fuentes y patrones de emisión, la altura de la capa limítrofe planetaria y la meteorología. ABSTRACTMonitoring and analyses of various air pollutants like particulate matter (PM 10 ), sulphur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), ozone (O 3 ), carbon monoxide (CO) and ammonia (NH 3 ), as well as meteorological parameters (temperature, humidity, wind speed and direction) have been performed for the period between April and May, 2014 at three different sites (an area with high vehicular density, a residential area and an industrial area) of an urban area in eastern India. The hourly average concentration of surface ozone is found maximum at the industrial site (70.085 µg/m

Surface, satellite ozone variations in Northern South America during low anthropogenic emission conditions: a machine learning approach

“…This humidity reduction also affects the total precipitation, producing less rain. The negative rain anomaly decreases the pollutant dilution (e.g., Dey et al 2018 ; Casallas et al 2022b ) and generates favorable conditions for the development of wildfires in the North of Colombia and Venezuela, which increase pollution (i.e., O 3 , PM, VOCs) in these areas, as the statistical evaluation demonstrates. The polluted air parcels are transported to Bogotá and Medellín due to the wind conditions, first because the wind is moving from the north and northeast towards the cities and second since the wind speed has a positive anomaly between these fire areas and both cities, facilitating the transport of particles to these sites.…”

Spatiotemporal Variability Relationships of Shallow Cloud Height and Planetary Boundary Layer Height Over the Northeast Pacific Using Satellite Observations and Reanalysis

“…Closely related to how well-mixed the PBL is, the PBL height, through its tie to low-level stability, helps determine the concentration of near-surface pollution; deeper PBLs are inversely correlated with near-surface concentrations such as tropospheric ozone (O 3 ) and O 3 precursors (Dey et al, 2018). Over the oceanic tropics, the PBL height is also inversely related to precipitation owing to the relationship of stronger sensible heat fluxes during the dry season; during wet periods stronger latent heat fluxes move mass above the shallower PBL (Chan and Wood, 2013).…”

Tropospheric ozone and its natural precursors impacted by climatic changes in emission and dynamics

“…especially when there is no pollutant transport from a long distance. Studies report the downward transport of ozone from high ozone concentration layers with boundary layer development in the morning and afternoon and this has been found to aggravate near-surface ozone pollution (Dey, 2018;He et al, 2021).…”