scholarly journals Study on Indoor Simulation Method of Atmospheric Turbulence and Aerosol Environment

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Quan Wang
Keyword(s):  
Air Quality ◽  
Atmospheric Turbulence ◽  
Simulation Method ◽  
Quality Data ◽  
Future Research ◽  
Atmospheric Transmission ◽  
Experimental Platform ◽  
The Relationship ◽  
Air Quality Data

The atmospheric turbulence is simulated in the laboratory using anatmospheric simulation pool, and the intensity of atmospheric turbulence can be adjusted by controlling the temperature difference between the upper and lower plates of the simulated pool. At the same time, the PM2.5 environment was simulated in the simulation pool, and the particle sensor was used to measure the concentration of PM2.5. Since atmospheric visibility is mainly affected by PM2.5, we obtained air quality data for a period of time in a certain area of Beijing, and numerically fit the relationship between the two, and obtained a regression model between the two. Theregression model was applied to the atmospheric simulation pool to calculate the visibility of the simulated atmosphere, and compared with the air quality of the Fengtai area published by the Meteorological Bureau, and the accuracy of thesimulation pool to the PM2.5 environmental simulation was tested. Based on the turbulence simulation, the simulation pool simulates the PM2.5 environment. The method is feasible and has sufficient theoretical basis. It provides a reliable indoor experimental platform for future research on laser atmospheric transmission.

scholarly journals Citizens or Consumers? Air Quality Sensor Users and Their Involvement in Sensor.Community. Results from Qualitative Case Study

2021 ◽  
Vol 13 (20) ◽  
pp. 11406
Author(s):  
Michał Wróblewski ◽  
Joanna Suchomska ◽  
Katarzyna Tamborska
Keyword(s):  
Air Quality ◽  
Local Community ◽  
Environmental Problem ◽  
Local Level ◽  
Health And Safety ◽  
Quality Data ◽  
Different Types ◽  
Air Quality Data

This article presents the results of the qualitative research conducted on Polish users of the Sensor.Community network. Different types of motivation behind the decision to engage in the collection of air quality data are discussed. Users’ motives have been found to result predominantly from the concern for the health and safety of their loved ones, as well as the need to control air quality (and ultimately the quality of life) in their immediate environment (home and neighbourhood). Users do not display civic behaviour such as working for the local community. Three factors have been proposed to explain this status quo. First, the motives related to health and safety, as opposed to motives behind seeking a resolution to an environmental problem at the local level, may contribute to the solidification of individualistic attitudes. Second, Sensor.Community is organised in a way that does not promote a greater involvement from the network organisers in the development of the initiative and retention of users. Instead, the network focuses predominantly on the technical aspects of operation. Third, users have no sense of agency as, in our opinion, they remain largely unaware of the value of the data they collect.

scholarly journals A WEB API AND WEB APPLICATION DEVELOPMENT FOR DISSEMINATION OF AIR QUALITY INFORMATION

2017 ◽  
Vol IV-4/W4 ◽  
pp. 373-378 ◽  
Author(s):  
K. Şahin ◽  
U. Işıkdağ
Keyword(s):  
Air Quality ◽  
Web Service ◽  
Monitoring Network ◽  
Data Access ◽  
Quality Monitoring ◽  
Quality Data ◽  
Series Data ◽  
Air Quality Monitoring ◽  
Air Quality Data

Various studies have been carried out since 2005 under the leadership of Ministry of Environment and Urbanism of Turkey, in order to observe the quality of air in Turkey, to develop new policies and to develop a sustainable air quality management strategy. For this reason, a national air quality monitoring network has been developed providing air quality indices. By this network, the quality of the air has been continuously monitored and an important information system has been constructed in order to take precautions for preventing a dangerous situation. The biggest handicap in the network is the data access problem for instant and time series data acquisition and processing because of its proprietary structure. Currently, there is no service offered by the current air quality monitoring system for exchanging information with third party applications. Within the context of this work, a web service has been developed to enable location based querying of the current/past air quality data in Turkey. This web service is equipped with up-todate and widely preferred technologies. In other words, an architecture is chosen in which applications can easily integrate. In the second phase of the study, a web-based application was developed to test the developed web service and this testing application can perform location based acquisition of air-quality data. This makes it possible to easily carry out operations such as screening and examination of the area in the given time-frame which cannot be done with the national monitoring network.

scholarly journals Multiple‐Factor Influence on Air Quality of Road Motor Vehicles Tail Number Limit in Administrative Area of Beijing, China

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Bakhrom Rajabov ◽  
Lan Liu ◽  
Jamshid Rajabov
Keyword(s):  
Air Quality ◽  
Motor Vehicles ◽  
Quality Data ◽  
Peak Time ◽  
Spring Festival ◽  
Administrative Area ◽  
The Impact ◽  
Beijing China ◽  
Air Quality Data

From December 2, 2013, to October 31, 2019 (total 2160 days), Beijing official air quality data was used as the research object. The article analyzes the end of days 4 and 9 and the end of the nonrestricted 4 and 9 days, working and nonworking days, restricted and nonrestricted working days, long holidays (Spring Festival and National Day), and nonlong holidays (short holidays other than the Spring Festival and National Day and working days) of AQI, PM2.5, PM10, SO2, CO, NO2, and O3. According to the statistical analysis of the data, the air quality of the 4 and 9 limit is worse than that of the non-4 and 9 limit. Motor vehicles restricted in traffic had an objective effect on air AQI, PM2.5, PM10, CO, and NO2, whereas there was almost no difference in O3. Some peak values of AQI, PM2.5, PM10, SO2, CO, and NO2 on nonrestricted working days were significantly higher than those on restricted working days. At the same time, there was a peak time of the impact of motor vehicles on AQI, PM2.5, PM10, SO2, CO, and NO2 in Beijing. This time should be between 3 and 5 days, or 72 and 120 hours.

The Relationship Between Interoception and Metacognition

2016 ◽  
Vol 30 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Judith Meessen ◽  
Verena Mainz ◽  
Siegfried Gauggel ◽  
Eftychia Volz-Sidiropoulou ◽  
Stefan Sütterlin ◽  
...  
Keyword(s):  
Memory Performance ◽  
Memory Task ◽  
Demographic Characteristics ◽  
Metacognitive Awareness ◽  
Interoceptive Awareness ◽  
Future Research ◽  
Heartbeat Perception ◽  
Interoceptive Accuracy ◽  
The Relationship

Abstract. Recently, Garfinkel and Critchley (2013) proposed to distinguish between three facets of interoception: interoceptive sensibility, interoceptive accuracy, and interoceptive awareness. This pilot study investigated how these facets interrelate to each other and whether interoceptive awareness is related to the metacognitive awareness of memory performance. A sample of 24 healthy students completed a heartbeat perception task (HPT) and a memory task. Judgments of confidence were requested for each task. Participants filled in questionnaires assessing interoceptive sensibility, depression, anxiety, and socio-demographic characteristics. The three facets of interoception were found to be uncorrelated and interoceptive awareness was not related to metacognitive awareness of memory performance. Whereas memory performance was significantly related to metamemory awareness, interoceptive accuracy (HPT) and interoceptive awareness were not correlated. Results suggest that future research on interoception should assess all facets of interoception in order to capture the multifaceted quality of the construct.

scholarly journals Handling Complex Missing Data Using Random Forest Approach for an Air Quality Monitoring Dataset: A Case Study of Kuwait Environmental Data (2012 to 2018)

2021 ◽  
Vol 18 (3) ◽  
pp. 1333
Author(s):  
Ahmad R. Alsaber ◽  
Jiazhu Pan ◽  
Adeeba Al-Hurban 
Keyword(s):  
Air Quality ◽  
Missing Data ◽  
Random Forest ◽  
Missing Values ◽  
Imputation Method ◽  
Environmental Data ◽  
Environmental Research ◽  
Quality Data ◽  
Data Set ◽  
Air Quality Data

In environmental research, missing data are often a challenge for statistical modeling. This paper addressed some advanced techniques to deal with missing values in a data set measuring air quality using a multiple imputation (MI) approach. MCAR, MAR, and NMAR missing data techniques are applied to the data set. Five missing data levels are considered: 5%, 10%, 20%, 30%, and 40%. The imputation method used in this paper is an iterative imputation method, missForest, which is related to the random forest approach. Air quality data sets were gathered from five monitoring stations in Kuwait, aggregated to a daily basis. Logarithm transformation was carried out for all pollutant data, in order to normalize their distributions and to minimize skewness. We found high levels of missing values for NO2 (18.4%), CO (18.5%), PM10 (57.4%), SO2 (19.0%), and O3 (18.2%) data. Climatological data (i.e., air temperature, relative humidity, wind direction, and wind speed) were used as control variables for better estimation. The results show that the MAR technique had the lowest RMSE and MAE. We conclude that MI using the missForest approach has a high level of accuracy in estimating missing values. MissForest had the lowest imputation error (RMSE and MAE) among the other imputation methods and, thus, can be considered to be appropriate for analyzing air quality data.

aiRe - A web-based R application for simple, accessible and repeatable analysis of urban air quality data

2021 ◽  
Vol 138 ◽  
pp. 104976
Author(s):  
Juan José Díaz ◽  
Ivan Mura ◽  
Juan Felipe Franco ◽  
Raha Akhavan-Tabatabaei
Keyword(s):  
Air Quality ◽  
Urban Air Quality ◽  
Quality Data ◽  
Urban Air ◽  
Web Based ◽  
Air Quality Data

scholarly journals An Empirical Investigation into Physician Preferences in Drug Prescription: An Integrated Methodology of AHP and QFD

2016 ◽  
Vol 8 (5) ◽  
pp. 81
Author(s):  
Farzana Elahi ◽  
Shamsad Ahmed ◽  
Mahbubul Haque ◽  
Nazreen Chowdhury
Keyword(s):  
Quality Function Deployment ◽  
Drug Prescription ◽  
Future Research ◽  
Relationship Matrix ◽  
Analytic Hierarchy ◽  
Expert Choice ◽  
Integrated Methodology ◽  
Hierarchy Process ◽  
The Relationship

<p class="Default">In order to sustain in a competitive market like pharmaceutical in Bangladesh, it is important to get an insight into physicians’ preferences in prescribing the drugs. The aim of this work is to investigate and address the physician requirements through an integrated methodology of Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD). In this research, an expert panel has been interviewed to recognize the criteria affecting physicians’ decisions. The results from AHP derived through Expert Choice software demonstrate that from the viewpoint of physicians, out of the five criteria, quality of product offering is ranked highest in prescribing the drugs followed by the reputation of the company, relationship enjoyed with the company, etc. As for the technical aspects, derived from the relationship matrix of AHP and QFD, out of the sixteen, brand image is ranked first followed by the quality of raw and packaging materials, skilled production personnel etc. The contribution of this research is expected to enable the managers in the pharmaceutical companies to recognize the factors that influence physicians in prescribing drugs for the patients and help them find out challenging items with preeminent alternatives. Few suggestions for future research are also put forward. <strong></strong></p>

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