ANALYSIS OF AIR QUALITY IN TWO SITES WITH DIFFERENT LOCAL CONDITIONS

2013 ◽  
Vol 12 (2) ◽  
pp. 371-379 ◽  
Author(s):  
Cristian Radu ◽  
Sabina Stefan ◽  
Livio Belegante
Keyword(s):  
Air Quality ◽  
Local Conditions

scholarly journals Pemanfaatan Bioretensi Buatan Sebagai Upaya Pengelolaan Air Hujan Untuk Peningkatan Kualitas Air

Kilat ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 108-119
Author(s):  
Endah Lestari
Keyword(s):  
Air Quality ◽  
Water Resources ◽  
Coming Out ◽  
Local Conditions ◽  
Local Infiltration ◽  
Peak Loads ◽  
Quality Testing ◽  
Treatment Priority ◽  
Rainwater Runoff ◽  
System Water

Water treatment priority water resources that are approved for air retention, Increased peak flow and improved water quality with regard to nutrients, pollutants, heavy metals and sediments. Bioretensi system is one alternative in improving air quality from rainwater runoff and reducing peak loads which also reduces runoff volume due to rain water.Management of urban water resources must be adapted to local conditions and sustainable. Bioretensi is a local infiltration media consisting of mixed soil and vegetation to absorb and manage rainwater so that it does not direct to the air body. The study was approved by the experimental research carried out with further research namely Bucket Bioretensi Design, installation, and testing. Some of the tests conducted on Bucket Bioretensi are rainwater quality testing, studying the level of infiltration by comparing the volume of inflows when opening a biretensi box and the volume of exits after going through a Bucket Bioretency. Bioretensi Bucket is made from used jerry cans with a capacity of 20 liters with dimensions of 27cm x 23cm x 37cm. Material obtained from high density polyethylene HDPE.  After experimenting with Bucket Bioretensi I produced 25% of the volume of air coming out, so 75% of the air received into the Bucket Bioretency system. Water coming out of the Bucket Bioretensi will visit the laboratory to test the air quality.

Air Quality Assessment by Neural Networks

2011 ◽  
pp. 91-117
Author(s):  
Petr Hájek ◽  
Vladimír Olej
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Air Quality ◽  
Quality Assessment ◽  
Air Pollutants ◽  
Quality Indices ◽  
Feature Maps ◽  
Local Conditions ◽  
Mean Values ◽  
Air Quality Assessment

The chapter presents an overview of current methods for air quality assessment, i.e. air stress indices and air quality indices. Traditional air quality assessment is realized using air quality indices which are determined as mean values of selected air pollutants. Thus, air quality assessment depends on strictly given limits without taking into account specific local conditions and synergic relations between air pollutants and other meteorological factors. The stated limitations can be eliminated, e.g. using systems based on neural networks and fuzzy logic. Therefore, the chapter presents a design of a model for air quality assessment based on a combination of Kohonen’s self-organizing feature maps and fuzzy logic neural networks. The model makes it possible to analyze the structure of data, to find localities with similar air quality, and to interpret the classification results by means of fuzzy logic. Due to its generalization ability, it is also possible to classify unknown localities into classes assessing their air quality.

Magnetic monitoring of PM filters from Air Monitoring Stations during the COVID-19 lockdown in Rome, Italy (March 10th - May 18th, 2020)

2021 ◽  
Author(s):  
Aldo Winkler ◽  
Antonio Amoroso ◽  
Alessandro Di Giosa ◽  
Giada Marchegiani
Keyword(s):  
Magnetic Susceptibility ◽  
Air Quality ◽  
Urban Areas ◽  
Magnetic Measurements ◽  
Air Monitoring ◽  
Magnetic Minerals ◽  
Concentration Data ◽  
Local Conditions ◽  
The Impact ◽  
Monitoring Stations

<p>An extensive survey of the magnetic properties of PM filters from selected air monitoring stations in Rome and other localities in Latium Region (Sacco Valley, Civitavecchia, Fiumicino) was conducted for outlining the impact of the lockdown measures on air quality.</p><p>The magnetic measurements highlighted a relevant content of magnetic minerals, mostly attributable to traffic related sources, on the filters from two stations in Rome and two stations from the urban areas of Civitavecchia and Fiumicino.</p><p>The PM filters from the Sacco Valley showed reduced concentrations of magnetic minerals, compared to Rome, however higher than the Castel Di Guido and Civitavecchia Sant'Agostino control stations.</p><p>The daily PM concentration data did not generally correlate with the mass susceptibility data, indicating that PM was often dominated by non-ferromagnetic contents, presumably due to wind-driven natural dusts, as stressed by the frequent anticorrelation between mass magnetic susceptibility and PM concentration.</p><p>In Magnagrecia air quality station, Rome, the average values ​​of the concentration depending magnetic parameters resulted about a half of those measured in 2005 on the filters from the same station.</p><p>From the Day plot, the filters with higher magnetic susceptibility values showed relatively coarse magnetite-like particles as the main magnetic minerals, ascribable to non-exhaust PM emissions from brakes.</p><p>This study confirmed that the interpretation of PM concentration during the lockdown is not straightforward and depends on many factors, such as natural inputs, resuspension and local conditions; anyway, magnetic analyses confirmed to be a valuable tool in PM source apportionment and concentration data interpretation.</p>

scholarly journals Inclusion of Renewable Energy Sources in Municipal Environmental Policy—The Case Study of Kraków, Poland

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8573
Author(s):  
Tomasz Jeleński ◽  
Marta Dendys ◽  
Elżbieta Radziszewska-Zielina ◽  
Małgorzata Fedorczak-Cisak
Keyword(s):  
Air Quality ◽  
Environmental Policy ◽  
Renewable Energy Sources ◽  
Energy Transition ◽  
Environmental Indicators ◽  
Local Conditions ◽  
Municipal Policies ◽  
Strategic Goals ◽  
Air Quality Improvement ◽  
Climate Neutrality

This article reviews the evolution of local environmental policy in the context of energy transition and particularly the implementation of RES. The study concerns Kraków, whose policy has been compared with other cities and metropolises and was analysed in a timespan of about 30 years. It was hypothesised that, until recently, RES were treated in the city with reserve concerning their feasibility in local environmental and economic conditions, but since RES have been appreciated as a viable means to effectively combat low-stack emissions, the local air quality targets have been integrated with global decarbonisation goals. This launched a dedicated subsidy stream for RES installations and contributed to the sharp increase in the number of installations. Trend analysis techniques have been used to study environmental indicators in relation to the evolution of municipal policies, the expenditures, and their effects. The review confirms that the implementation of RES had not been a priority for Kraków but a complementary measure to those aimed at improving air quality. The recent integration of the environmental and RES policies has been the next step that is now helping to pursue both the city’s strategic goals: further air quality improvement and climate neutrality by 2050. Kraków may serve as an example of a city that has treated RES in a manner adequate to local conditions and capabilities, thus achieving the intended goals.

scholarly journals A Model to Determine Naked-Eye Limiting Magnitude

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Dasha Crocker
Keyword(s):  
Air Quality ◽  
Wind Speed ◽  
Cloud Cover ◽  
Weather Data ◽  
The Moon ◽  
Local Conditions ◽  
Naked Eye ◽  
Proposed Model ◽  
Regression Tests ◽  
Local Weather

The purpose of this study was to determine which variables would be needed to generate a model that predicted the naked eye limiting magnitude on a given night. After background research was conducted, it seemed most likely that wind speed, air quality, skyglow, and cloud cover would contribute to the proposed model. This hypothesis was tested by obtaining local weather data, then determining the naked eye limiting magnitude for the local conditions. This procedure was repeated for the moon cycle of October, then repeated an additional 11 times in November, December, and January. After the initial 30 trials, r values were calculated for each variable that was measured. These values revealed that wind was not at all correlated with the naked eye limiting magnitude, but pollen (a measure of air quality), skyglow, and cloud cover were. After the generation of several models using multiple regression tests, air quality also proved not to affect the naked eye limiting magnitude. It was concluded that skyglow and cloud cover would contribute to a model that predicts naked eye limiting magnitude, proving the original hypothesis to be partially correct.   

Application of Electron Optics to Characterization of Particulate Pollutants

1972 ◽  
Vol 30 ◽  
pp. 364-365
Author(s):  
J. B. Moran ◽  
J. L. Miller
Keyword(s):  
Air Quality ◽  
Quality Standards ◽  
Ambient Air ◽  
Hazardous Substances ◽  
Fuel Additives ◽  
Ambient Air Quality ◽  
Air Quality Standards ◽  
Emission Standards ◽  
Stationary Sources ◽  
Ambient Air Quality Standards

The Clean Air Act Amendments of 1970 provide the basis for a dramatic change in Federal air quality programs. The Act establishes new standards for motor vehicles and requires EPA to establish national ambient air quality standards, standards of performance for new stationary sources of pollution, and standards for stationary sources emitting hazardous substances. Further, it establishes procedures which allow states to set emission standards for existing sources in order to achieve national ambient air quality standards. The Act also permits the Administrator of EPA to register fuels and fuel additives and to regulate the use of motor vehicle fuels or fuel additives which pose a hazard to public health or welfare.National air quality standards for particulate matter have been established. Asbestos, mercury, and beryllium have been designated as hazardous air pollutants for which Federal emission standards have been proposed.

Air Quality May Affect Infants' Brains

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 34-34
Keyword(s):  
Air Quality

Air Quality May Affect Infants' Brains

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