scholarly journals The Share of Pollution from Land Sources in PM Levels in the Region of Danish Straits, North and Baltic Seas

2021 ◽  
Vol 25 (1) ◽  
pp. 764-773
Author(s):  
Mariusz Rogulski ◽  
Artur Badyda ◽  
Szymon Firląg
Keyword(s):  
Air Pollution ◽  
Baltic Sea ◽  
North Sea ◽  
Sea Surface ◽  
Pollution Levels ◽  
The Impact

Abstract The aim of the study was to determine air pollution over the sea surface (North Sea and Baltic Sea) comparing to concentration in the closest land areas to examine the impact of ships on the level of PM concentration. The analysis is based on the measurements made during the two weeks cruise of the tall ship Fryderyk Chopin from Edinburg to Kołobrzeg. The highest pollution levels were observed in locations distant from the coast, especially over Baltic Sea, with increasing concentrations when other ships approaching. The article attempts to assess the possibility of migration of pollutants to these areas from land-based sources, and thus indicate the degree of their participation in the level of pollution present at sea.

scholarly journals The Influence of Marine Traffic on Particulate Matter (PM) Levels in the Region of Danish Straits, North and Baltic Seas

2018 ◽  
Vol 10 (11) ◽  
pp. 4231 ◽  
Author(s):  
Szymon Firląg ◽  
Mariusz Rogulski ◽  
Artur Badyda
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Internal Combustion Engines ◽  
Sea Surface ◽  
Combustion Engines ◽  
Sea Transport ◽  
Pollution Levels ◽  
Marine Traffic ◽  
Combustion Emission ◽  
The Impact

The aim of the study was to determine air pollution over the sea surface (North Sea and Baltic Sea) compared to the situation in ports, as well as to examine the impact of ships on the level of particulate matter (PM) concentration. The measurements, made during the two-week cruise of the tall ship Fryderyk Chopin, demonstrated that the principal source of PM emission over the sea surface are passing ships equipped with internal combustion engines, including quite numerous units powered by marine oil. The highest pollution levels were observed in locations distant from the coast, with increasing concentrations when other ships were approaching. During the cruise, at least two places were identified with increased PM concentration (18–28 μg/m3 for PM10 and 15–25 μg/m3 for PM2.5) caused by passing ships. The share of PM2.5 fraction in the general PM concentration in these places increased from 70–72% to 82–85%, which means that combustion emission dominated. In turn, measurements made in ports (Copenhagen and Kołobrzeg) showed lower levels of air pollution and indicated a typical variability of the PM concentrations characteristic for land areas. The results confirm the need for determining suitable solutions for sustainable sea transport.

scholarly journals Quantifying the impact of air pollution on the urban population of Brazil

2007 ◽  
Vol 23 (suppl 4) ◽  
pp. S529-S536 ◽  
Author(s):  
Izabel Marcilio ◽  
Nelson Gouveia
Keyword(s):  
Air Pollution ◽  
Urban Population ◽  
Hospital Admissions ◽  
Age Groups ◽  
The Elderly ◽  
Impact Factors ◽  
Pollution Levels ◽  
Time Series Studies ◽  
The Impact ◽  
Respiratory Causes

This study aimed to quantify air pollution impact on morbidity and mortality in the Brazilian urban population using locally generated impact factors. Concentration-response coefficients were used to estimate the number of hospitalizations and deaths attributable to air pollution in seven Brazilian cities. Poisson regression coefficients (beta) were obtained from time-series studies conducted in Brazil. The study included individuals 65 years old and over and children under five. More than 600 deaths a year from respiratory causes in the elderly and 47 in children were attributable to mean air pollution levels, corresponding to 4.9% and 5.5% of all deaths from respiratory causes in these age groups. More than 4,000 hospital admissions for respiratory conditions were also attributable to air pollution. These results quantitatively demonstrate the currently observed contribution of air pollution to mortality and hospitalizations in Brazilian cities. Such assessment is thought to help support the planning of surveillance and control activities for air pollution in these and similar areas.

Implementation of NEMO v4.0.1 as ocean component for the regional climate modeling framework

2020 ◽  
Author(s):  
Janna Abalichin ◽  
Birte-Marie Ehlers ◽  
Frank Janssen
Keyword(s):  
Climate Change ◽  
Baltic Sea ◽  
North Sea ◽  
Climate Modeling ◽  
Regional Climate ◽  
Regional Climate Modeling ◽  
Water Levels ◽  
Climate Extreme ◽  
Modeling Framework ◽  
The Impact

<p>The ‘German Strategy for Adaptation to Climate Change’ (DAS) provides the political framework to climate change mitigation and adaptation in Germany. The associated ‘Adaption Action Plan’ envisages the establishment of an operational forecasting and projection service for climate, extreme weather and coastal and inland waterbodies. This service is intended to make use of a regional climate modeling framework, with NEMO v4.0.(1) as the ocean component. The atmospheric component will be provided by the German Weather Service (either the current weather forecasting model ICON or COSMO will be used) and will be coupled to NEMO after testing and calibration of NEMO on the regional scale.</p><p>The area of interest includes besides the North Sea and the Baltic Sea the entire North-West-Shelf to take into account cross-shelf transport, the water exchange between North Sea and Baltic Sea and the impact of North Atlantic weather systems on the internal dynamics of the seas. One focus area will be German Bight, well known for its large tidal flats, which make wetting & drying a desirable model feature, which will be tested in future. The used/implemented bathymetry includes the up to date measurements of the sea floor from the EMODNET network.</p><p>To achieve a proper description of the dynamics in this region the model has to be calibrated with regard to the timing and amplitude of the water levels in the coastal waters, the water inflow through the Danish straits, the thermal stratification as well as the seasonality and thickness of the sea ice in the Northern Baltic Sea.</p><p>These efforts are carried out in the pilot project ‘Projection Service for Waterways and Shipping’ (ProWaS).</p>

Air Pollution and Seasonality Effects on Mode Choice in China

2017 ◽  
Vol 2634 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Weibo Li ◽  
Maria Kamargianni
Keyword(s):  
Air Pollution ◽  
Developing Countries ◽  
Air Quality ◽  
Positive Impact ◽  
Mode Choice ◽  
Urban Transport ◽  
Modal Shift ◽  
Pollution Levels ◽  
Study Results ◽  
The Impact

A modal shift from motorized to nonmotorized vehicles is imperative to reduce air pollution in developing countries. Nevertheless, whether better air quality will improve the willingness to use nonmotorized transport remains unclear. If such a reciprocal effect could be identified, a sort of virtuous circle could be created (i.e., better air quality could result in higher nonmotorized transport demand, which in turn could further reduce air pollution). Developing countries may, therefore, be more incentivized to work on air pollution reduction from other sources to exploit the extra gains in urban transport. This study investigated the impact of air pollution on mode choices and whether nonmotorized transport was preferred when air quality was better. Revealed preference data about the mode choice behavior of the same individuals was collected during two seasons (summer and winter) with different air pollution levels. Two discrete mode choice models were developed (one for each season) to quantify and compare the impacts of different air pollution levels on mode choices. Trip and socioeconomic characteristics also were included in the model to identify changes in their impacts across seasons. Taiyuan, a Chinese city that operates a successful bikesharing scheme, was selected for a case study. The study results showed that air quality improvement had a significant, positive impact on nonmotorized transport use, which suggested that improvements in air quality and promotion of nonmotorized transport must be undertaken simultaneously because of their interdependence. The results of the study could act as a harbinger to policy makers and encourage them to design measures and policies that lead to sustainable travel behavior.

scholarly journals Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea

Ocean Science ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 525-541 ◽  
Author(s):  
Ye Liu ◽  
Weiwei Fu
Keyword(s):  
High Resolution ◽  
Sea Ice ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Baltic Sea ◽  
Sea Surface ◽  
The Baltic Sea ◽  
Dependent Observations ◽  
The Baltic ◽  
The Impact

Abstract. We assess the impact of assimilating the satellite sea surface temperature (SST) data on the Baltic forecast, particularly on the forecast of ocean variables related to SST. For this purpose, a multivariable data assimilation (DA) system has been developed based on a Nordic version of the Nucleus for European Modelling of the Ocean (NEMO-Nordic). We use Kalman-type filtering to assimilate the observations in the coastal regions. Further, a low-rank approximation of the stationary background error covariance metrics is used at the analysis steps. High-resolution SST from the Ocean and Sea Ice Satellite Application Facility (OSISAF) is assimilated to verify the performance of the DA system. The assimilation run shows very stable improvements of the model simulation as compared with both independent and dependent observations. The SST prediction of NEMO-Nordic is significantly enhanced by the DA forecast. Temperatures are also closer to observations in the DA forecast than the model results in the water above 100 m in the Baltic Sea. In the deeper layers, salinity is also slightly improved. In addition, we find that sea level anomaly (SLA) is improved with the SST assimilation. Comparisons with independent tide gauge data show that the overall root mean square error (RMSE) is reduced by 1.8 % and the overall correlation coefficient is slightly increased. Moreover, the sea-ice concentration forecast is improved considerably in the Baltic Proper, the Gulf of Finland and the Bothnian Sea during the sea-ice formation period, respectively.

scholarly journals ANALYZING THE IMPACT OF AIR POLLUTION ON LABOR PRODUCTIVITY IN MANUFACTURING

2020 ◽  
pp. 212-219
Author(s):  
D. Klynovskyi
Keyword(s):  
Air Pollution ◽  
Labor Productivity ◽  
Harmful Effect ◽  
Developed Countries ◽  
Pollutant Emissions ◽  
Economic Research ◽  
Substantial Impact ◽  
Pollution Levels ◽  
Clean Technologies ◽  
The Impact

As long as the ecological topic became highly discussed recently, economic research related to ecology seems relevant. Natural features have a substantial impact on economic outcomes, in particular health capital. Air pollution, which is believed to be one of the most notable factors of environmental deterioration, affects human health, thus may influence labor productivity. In developed countries ecologically friendly production tends to spread rapidly, and, as a result, a certain regeneration of ecology is observed. However, the developing countries still make the most efforts to realize their full industrial potential, assigning a lower priority to the ecological issues. A quantitative estimate of the effect of industrial pollutant emissions on the labor productivity of the manufacturing workers would be an important argument for the firm deciding to improve its production processes, e.g. invest in ‘clean’ technologies or enhance the working conditions. In addition, it is important to investigate managerial practices that were effective in keeping or growing the level of labor productivity while decreasing the harmful effect on the environment at the same time. The result of this research might be interesting both for manufacturing firms’ management and for policymakers designing the regulation for industrial firms to overwhelm the pollution levels. A policy tool for pollution regulation must be not only efficient in reducing the amounts of pollutant emissions, but also has to be a good incentive for producers to invest in clean technologies.

scholarly journals Sensitivity of modeled atmospheric nitrogen species and nitrogen deposition to variations in sea salt emissions in the North Sea and Baltic Sea regions

2016 ◽  
Vol 16 (5) ◽  
pp. 2921-2942 ◽  
Author(s):  
Daniel Neumann ◽  
Volker Matthias ◽  
Johannes Bieser ◽  
Armin Aulinger ◽  
Markus Quante
Keyword(s):  
Baltic Sea ◽  
Nitrogen Deposition ◽  
North Sea ◽  
Surf Zone ◽  
Sea Salt ◽  
Atmospheric Nitrogen ◽  
The North ◽  
The North Sea ◽  
The Baltic ◽  
The Impact

Abstract. Coarse sea salt particles are emitted ubiquitously from the ocean surface by wave-breaking and bubble-bursting processes. These particles impact the atmospheric chemistry by affecting the condensation of gas-phase species and, thus, indirectly the nucleation of new fine particles, particularly in regions with significant air pollution. In this study, atmospheric particle concentrations are modeled for the North Sea and Baltic Sea regions in northwestern Europe using the Community Multiscale Air Quality (CMAQ) modeling system and are compared to European Monitoring and Evaluation Programme (EMEP) measurement data. The sea salt emission module is extended by a salinity-dependent scaling of the sea salt emissions because the salinity in large parts of the Baltic Sea is very low, which leads to considerably lower sea salt mass emissions compared to other oceanic regions. The resulting improvement in predicted sea salt concentrations is assessed. The contribution of surf zone emissions is considered separately. Additionally, the impacts of sea salt particles on atmospheric nitrate and ammonium concentrations and on nitrogen deposition are evaluated. The comparisons with observational data show that sea salt concentrations are commonly overestimated at coastal stations and partly underestimated farther inland. The introduced salinity scaling improves the predicted Baltic Sea sea salt concentrations considerably. The dates of measured peak concentrations are appropriately reproduced by the model. The impact of surf zone emissions is negligible in both seas. Nevertheless, they might be relevant because surf zone emissions were cut at an upper threshold in this study. Deactivating sea salt leads to minor increases in NH3 +  NH4+ and HNO3 +  NO3− and a decrease in NO3− concentrations. However, the overall effect on NH3 +  NH4+ and HNO3 +  NO3− concentrations is smaller than the deviation from the measurements. Nitrogen wet deposition is underestimated by the model at most stations. In coastal regions, the total nitrogen deposition (wet and dry) is considerably affected by sea salt particles. Approximately 3–7 % of atmospheric nitrogen deposition into the North Sea is caused by sea salt particles. The contribution is lower in the Baltic Sea region. The stations in the EMEP network provide a solid basis for model evaluation and validation. However, for a more detailed analysis of the impact of sea salt particles on atmospheric nitrogen species, size-resolved measurements of Na+, NH4+, and NO3− are needed.

scholarly journals Assimilating High-resolution Sea Surface Temperature Data Improves the Ocean Forecast in the Baltic Sea

2018 ◽  
Author(s):  
Ye Liu ◽  
Weiwei Fu
Keyword(s):  
High Resolution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Baltic Sea ◽  
Model Simulation ◽  
Sea Surface ◽  
The Baltic Sea ◽  
Dependent Observations ◽  
The Baltic ◽  
The Impact

Abstract. We assess the impact of assimilating the satellite sea surface temperature (SST) data on the Baltic forecast, practically on the forecast of ocean variables related to SST. For this purpose, a multivariable data assimilation (DA) system has been developed based on a Nordic version of the Nucleus for European Modelling of the Ocean (NEMO-Nordic). We use a localized Singular Evolutive Interpolated Kalman (SEIK) filter to characterize correlation scales in the coastal regions. High resolution SST from OSISAF is assimilated to verify the performance of DA system. The assimilation run shows very stable improvements on the model simulation as compared with both independent and dependent observations. The SST prediction of NEMO-Nordic is significantly enhanced by the DA system. Temperatures are also closer to observation in the DA system than the model results in the water above 100 m in the Baltic Sea. In the deeper layers, salinity is also slightly improved. Besides, we find that Sea level anomaly (SLA) is improved with the SST assimilation. Comparison with independent tide gauge data show that overall root mean square error (RMSE) is reduced by 1.8 % and overall correlation coefficient is increased by 0.4 %. Moreover, the sea ice concentration forecast is improved considerably in the Baltic proper, the Gulf of Finland and the Bothnian Sea, respectively.

scholarly journals Evaluating the Impact of the Clean Heat Program on Air Pollution Levels in New York City

2021 ◽  
Vol 129 (12) ◽  
Author(s):  
Lyuou Zhang ◽  
Mike Z. He ◽  
Elizabeth A. Gibson ◽  
Frederica Perera ◽  
Gina S. Lovasi ◽  
...  
Keyword(s):  
New York ◽  
Air Pollution ◽  
New York City ◽  
York City ◽  
Pollution Levels ◽  
The Impact
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