Landscape pattern as an indicator of urban air pollution of particulate matter in Poland

Łowicki, Damian

doi:10.1016/j.ecolind.2018.09.050

Cited by 74 publications

(31 citation statements)

References 19 publications

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“…However, wind can fluctuate rapidly over the short term and its influence on the pollutant dispersion and deposition processes is in a timely manner. Thus, the dependencies between wind and PM 2.5 concentrations are multidirectional and time-sensitive [ 46 ]. In this study, we designed a wind wedge system to account for the real-time changes of wind, which will be elaborated in Section 3.3 .…”

Section: Methodsmentioning

confidence: 99%

Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM2.5 for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Hart

Dong

2020

IJERPH

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Fine particulate matter with an aerodynamic diameter of less than 2.5 µm (PM2.5) is highly variable in space and time. In this study, the dynamics of PM2.5 concentrations were mapped at high spatio-temporal resolutions using bicycle-based, mobile measures on a university campus. Significant diurnal and daily variations were revealed over the two-week survey, with the PM2.5 concentration peaking during the evening rush hours. A range of predictor variables that have been proven useful in estimating the pollution level was derived from Geographic Information System, high-resolution airborne images, and Light Detection and Ranging (LiDAR) datasets. Considering the complex interplay among landscape, wind, and air pollution, variables influencing the PM2.5 dynamics were quantified under a new wind wedge-based system that incorporates wind effects. Panel data analysis models identified eight natural and built environment variables as the most significant determinants of local-scale air quality (including four meteorological factors, distance to major roads, vegetation footprint, and building and vegetation height). The higher significance level of variables calculated using the wind wedge system as compared to the conventional circular buffer highlights the importance of incorporating the relative position of emission sources and receptors in modeling.

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Section: Methodsmentioning

confidence: 99%

Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM2.5 for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Hart

Dong

2020

IJERPH

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“…A reverse approach was used in a study conducted in Greece [47], in which specific meteorological conditions were discussed. However, theoretical studies indicate the existence of a relevant negative correlation between the concentration of aerosols and wind speed [48,49]. The studies performed also show that, in a temperate-transitional climate, the occurrences of unstable states of the atmosphere and the horizontal movement of air masses >2.5 ms −1 result in a noticeable improvement of the aerosanitary conditions in only one day.…”

Section: Resultsmentioning

confidence: 71%

Influence of Individual Household Heating on PM2.5 Concentration in a Rural Settlement

Olszowski

2019

Atmosphere

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This article reports the results of research on the concentration of particulate matter (PM) in two places in one village named Kotórz Mały (Poland). The main point of the research was to check the influence scale of different low-emission source forms as components of the anthropogenic factor driving the changes in local air quality. Measurements were made over five cold seasons. To investigate the dust concentrations, the gravimetric and optical method was used. The weather conditions were measured with portable weather stations. It was found that the character of individual heating systems had a major influence on local air quality. The presence of a permanent state of the troposphere and temperature inversion led to the inhibition of pollution dispersion processes and significant local changes, exceeding the recommended PM2.5 concentrations limit. The effects of policy still don’t influence air quality trends in the Polish village. The main problem of high concentrations of PM2.5 is the old generation of individual heating systems and the lack of significant support from local and national authorities. For the terms considered and the period of observation, meteorological measurements can be considered a sufficient foundation for the estimation of the occurrence of worrying conditions.

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“…Coal power plants are responsible for 11% of primary particulate matter (PM2.5), 51% of sulphur dioxide (SO2) and 31% of nitrogen oxides (NOx) emissions. It leads to serious health problems due to air pollution [6]. Using large scale photovoltaics power plants locally, as it was shown in this study, allows to fulfil European targets on one hand and improve the quality of life in the given municipality on the other.…”

Section: Introductionmentioning

confidence: 67%

Studies on PV power plant designing to fulfil the energy demand of small community in Poland

Krawczak

2019

E3S Web Conf.

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Although the total energy production from fossil fuels in Poland has been decreasing for the past few years, still at least 80% of the total energy consumption derives from coal. To reduce this high consumption rate alternative energy sources should be developed. One of the most promising is photovoltaics. This paper presents modeling studies of large scale PV power plant design to fulfil the electricity needs of a small community located in Poland. Based on the energy demand prognosis and monthly solar radiation data PV power plant capacity and a number of modules were computed. The distance between rows of the modules was also determined to avoid the shadowing effect. System configuration and energy production simulations were carried out using DDS-Cad software. Results of energy calculations were compared with the yearly energy needs of the studied community. Reduction of greenhouse gases emission was estimated. Modeling results show that proposed 3.1 MWp photovoltaic plant can produce enough energy to fulfil the yearly energy demand of the households in the studied area. Moreover, significant reduction of CO2 emission and other gaseous pollutants were observed.

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Landscape pattern as an indicator of urban air pollution of particulate matter in Poland

Cited by 74 publications

References 19 publications

Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM2.5 for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Monitoring, Mapping, and Modeling Spatial–Temporal Patterns of PM2.5 for Improved Understanding of Air Pollution Dynamics Using Portable Sensing Technologies

Influence of Individual Household Heating on PM2.5 Concentration in a Rural Settlement

Studies on PV power plant designing to fulfil the energy demand of small community in Poland

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