scholarly journals Ground-Based Remote Sensing of the ABL Structure in Moscow and Its Use to Estimate Pollutant Surface Emission Rates

2014 ◽  
Vol 53 (5) ◽  
pp. 1272-1281 ◽  
Author(s):  
Valery F. Kramar ◽  
Evgeniya Baykova ◽  
Margarita Kallistratova ◽  
Rostislav Kouznetsov ◽  
Sergei Kulichkov
Keyword(s):  
Air Quality ◽  
High Surface ◽  
Mixing Layer ◽  
Pollutant Emissions ◽  
Horizontal Wind ◽  
Emission Rates ◽  
Layer Height ◽  
Surface Emission ◽  
Convective Mixing ◽  
Mixing Layer Height

AbstractCurrently used methods to estimate surface pollutant emissions require a set of specific air-sampling surveys. Data from a network of ground-based sodars and a network of air-quality stations in Moscow, Russia, are used to estimate the emission rates of carbon monoxide (CO) and nitric oxide (NO). The sodar network, consisting of three “LATAN-3” Doppler sodars and three “MTP-5” microwave temperature profilers, is used to measure the vertical profiles of vertical and horizontal wind velocity, wind direction, and temperature, which are used to determine the average mixing-layer height. The network of ground-based air-quality stations, consisting of 17 automated stations distributed uniformly across Moscow, continuously measured the CO and NO concentrations. This study focuses on an anticyclonic episode of high surface pressure over Moscow during 30 July–1 August 2012. After sunrise, the solar-induced convection effectively moderated the pollutant levels in the lowest 100–200 m. After sunset, convective mixing stopped and the wind weakened, which allowed CO and NO to reach hazardous levels. With an assumption of an average mixing-layer height of 150 m, the resulting estimate of surface emission of CO is ~6 μg m−2 s−1, whereas that for NO is ~0.6 μg m−2 s−1.

scholarly journals Erratum to: Observed and Modelled Convective Mixing-Layer Height at Dome C, Antarctica

2014 ◽  
Vol 153 (1) ◽  
pp. 163-164 ◽  
Author(s):  
Giampietro Casasanta ◽  
Ilaria Pietroni ◽  
Igor Petenko ◽  
Stefania Argentini
Keyword(s):  
Mixing Layer ◽  
Layer Height ◽  
Convective Mixing ◽  
Mixing Layer Height

scholarly journals Observed and Modelled Convective Mixing-Layer Height at Dome C, Antarctica

2014 ◽  
Vol 151 (3) ◽  
pp. 597-608 ◽  
Author(s):  
Giampietro Casasanta ◽  
Ilaria Pietroni ◽  
Igor Petenko ◽  
Stefania Argentini
Keyword(s):  
Mixing Layer ◽  
Layer Height ◽  
Convective Mixing ◽  
Mixing Layer Height

scholarly journals Doppler Lidar Observations of the Mixing Height in Indianapolis Using an Automated Composite Fuzzy Logic Approach

2018 ◽  
Vol 35 (3) ◽  
pp. 473-490 ◽  
Author(s):  
Timothy A. Bonin ◽  
Brian J. Carroll ◽  
R. Michael Hardesty ◽  
W. Alan Brewer ◽  
Kristian Hajny ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Mixing Layer ◽  
Horizontal Wind ◽  
Doppler Lidar ◽  
Mixing Height ◽  
Layer Height ◽  
Fuzzy Logic Approach ◽  
Mixing Layer Height ◽  
Logic Approach ◽  
The Mean

AbstractA Halo Photonics Stream Line XR Doppler lidar has been deployed for the Indianapolis Flux Experiment (INFLUX) to measure profiles of the mean horizontal wind and the mixing layer height for quantification of greenhouse gas emissions from the urban area. To measure the mixing layer height continuously and autonomously, a novel composite fuzzy logic approach has been developed that combines information from various scan types, including conical and vertical-slice scans and zenith stares, to determine a unified measurement of the mixing height and its uncertainty. The composite approach uses the strengths of each measurement strategy to overcome the limitations of others so that a complete representation of turbulent mixing is made in the lowest km, depending on clouds and aerosol distribution. Additionally, submeso nonturbulent motions are identified from zenith stares and removed from the analysis, as these motions can lead to an overestimate of the mixing height. The mixing height is compared with in situ profile measurements from a research aircraft for validation. To demonstrate the utility of the measurements, statistics of the mixing height and its diurnal and annual variability for 2016 are also presented. The annual cycle is clearly captured, with the largest and smallest afternoon mixing heights observed at the summer and winter solstices, respectively. The diurnal cycle of the mixing layer is affected by the mean wind, growing slower in the morning and decaying more rapidly in the evening with lighter winds.

Application of continuous remote sensing of mixing layer height for assessment of airport air quality

2010 ◽  
Author(s):  
Klaus Schäfer ◽  
Costas Helmis ◽  
Stefan Emeis ◽  
George Sgouros ◽  
Ralf Kurtenbach ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Air Quality ◽  
Mixing Layer ◽  
Layer Height ◽  
Mixing Layer Height

Impact of mixing layer height on air quality in winter

2020 ◽  
Vol 197 ◽  
pp. 105157 ◽  
Author(s):  
B.S. Murthy ◽  
R. Latha ◽  
Arpit Tiwari ◽  
Aditi Rathod ◽  
Siddhartha Singh ◽  
...  
Keyword(s):  
Air Quality ◽  
Mixing Layer ◽  
Layer Height ◽  
Mixing Layer Height

scholarly journals Mixing layer height as an indicator for urban air quality?

2017 ◽  
Author(s):  
Alexander Geiß ◽  
Matthias Wiegner ◽  
Boris Bonn ◽  
Klaus Schäfer ◽  
Renate Forkel ◽  
...  
Keyword(s):  
Air Quality ◽  
Mixing Layer ◽  
Clear Correlation ◽  
Emission Sources ◽  
Near Surface ◽  
Layer Height ◽  
Diurnal Cycles ◽  
Pollutant Concentrations ◽  
Novel Approach ◽  
Mixing Layer Height

Abstract. The mixing layer height (MLH) is a measure for the vertical turbulent exchange within the boundary layer, which is one of the controlling factors for the dilution of pollutants emitted near the ground. Based on continuous MLH measurements with a Vaisala CL51 ceilometer and measurements from an air quality network, the relationship between MLH and near surface pollutant concentrations have been investigated. In this context the uncertainty of the MLH retrievals and the representativeness of ground-based in-situ measurements are crucial. We have investigated this topic by using data from the BAERLIN2014 campaign in Berlin, Germany, conducted during June and August 2014. To derive the MLH three versions of the proprietary software BL-VIEW and a novel approach COBOLT were compared. It was found that the overall agreement is reasonable if mean diurnal cycles are considered. The main advantage of COBOLT is the continuous detection of the MLH with a temporal resolution of 10 minutes and a lower number of cases when the residual layer is misinterpreted as mixing layer. We have calculated correlations between MLH as derived from the different retrievals and concentrations of pollutants (PM10, O3 and NOx) for different locations in the metropolitan area of Berlin. It was found that the correlations with PM10 are quite different for different sites without showing a clear pattern, whereas the correlation with NOx seems to depend on the vicinity of emission sources in main roads. In case of ozone as a secondary pollutant a clear correlation was found. We conclude that the effects of the heterogeneity of the emission sources, chemical processing and mixing during transport exceed the differences due to different MLH retrievals. Moreover, it seems to be unrealistic to find correlations between MLH and near surface pollutant concentrations representative for a city like Berlin, in particular when traffic emissions are dominant. Nevertheless it is worthwhile to use advanced MLH retrievals for ceilometer data, e.g. for the validation of chemical transport models.

scholarly journals Mixing layer height as an indicator for urban air quality?

2017 ◽  
Vol 10 (8) ◽  
pp. 2969-2988 ◽  
Author(s):  
Alexander Geiß ◽  
Matthias Wiegner ◽  
Boris Bonn ◽  
Klaus Schäfer ◽  
Renate Forkel ◽  
...  
Keyword(s):  
Air Quality ◽  
Mixing Layer ◽  
Clear Correlation ◽  
Emission Sources ◽  
Near Surface ◽  
Layer Height ◽  
Diurnal Cycles ◽  
Pollutant Concentrations ◽  
Novel Approach ◽  
Mixing Layer Height

Abstract. The mixing layer height (MLH) is a measure for the vertical turbulent exchange within the boundary layer, which is one of the controlling factors for the dilution of pollutants emitted near the ground. Based on continuous MLH measurements with a Vaisala CL51 ceilometer and measurements from an air quality network, the relationship between MLH and near-surface pollutant concentrations has been investigated. In this context the uncertainty of the MLH retrievals and the representativeness of ground-based in situ measurements are crucial. We have investigated this topic by using data from the BAERLIN2014 campaign in Berlin, Germany, conducted from June to August 2014. To derive the MLH, three versions of the proprietary software BL-VIEW and a novel approach COBOLT were compared. It was found that the overall agreement is reasonable if mean diurnal cycles are considered. The main advantage of COBOLT is the continuous detection of the MLH with a temporal resolution of 10 min and a lower number of cases when the residual layer is misinterpreted as mixing layer. We have calculated correlations between MLH as derived from the different retrievals and concentrations of pollutants (PM10, O3 and NOx) for different locations in the metropolitan area of Berlin. It was found that the correlations with PM10 are quite different for different sites without showing a clear pattern, whereas the correlation with NOx seems to depend on the vicinity of emission sources in main roads. In the case of ozone as a secondary pollutant, a clear correlation was found. We conclude that the effects of the heterogeneity of the emission sources, chemical processing and mixing during transport exceed the differences due to different MLH retrievals. Moreover, it seems to be unrealistic to find correlations between MLH and near-surface pollutant concentrations representative for a city like Berlin (flat terrain), in particular when traffic emissions are dominant. Nevertheless it is worthwhile to use advanced MLH retrievals for ceilometer data, for example as input to dispersion models and for the validation of chemical transport models.

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