scholarly journals A web-based screening tool for near-port air quality assessments

2017 ◽  
Vol 98 ◽  
pp. 21-34 ◽  
Author(s):  
Vlad Isakov ◽  
Timothy M. Barzyk ◽  
Elizabeth R. Smith ◽  
Saravanan Arunachalam ◽  
Brian Naess ◽  
...  
Keyword(s):  
Air Quality ◽  
Screening Tool ◽  
Web Based ◽  
Quality Assessments

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

Development of a web-based pre-exercise screening tool to support risk management in the fitness industry

2014 ◽  
Vol 18 ◽  
pp. e6
Author(s):  
K. Norton ◽  
P. Keyzer ◽  
J. Dietrich ◽  
V. Jones ◽  
B. Sekendiz ◽  
...  
Keyword(s):  
Risk Management ◽  
Screening Tool ◽  
Web Based ◽  
Fitness Industry

scholarly journals ProMoST (Protein Modification Screening Tool): a web-based tool for mapping protein modifications on two-dimensional gels

2004 ◽  
Vol 32 (Web Server) ◽  
pp. W638-W644 ◽  
Author(s):  
B. D. Halligan ◽  
V. Ruotti ◽  
W. Jin ◽  
S. Laffoon ◽  
S. N. Twigger ◽  
...  
Keyword(s):  
Protein Modification ◽  
Screening Tool ◽  
Two Dimensional ◽  
Web Based ◽  
Protein Modifications

Derivation of motor vehicle tailpipe particle emission factors suitable for modelling urban fleet emissions and air quality assessments

2009 ◽  
Vol 17 (3) ◽  
pp. 724-739 ◽  
Author(s):  
Diane U. Keogh ◽  
Joe Kelly ◽  
Kerrie Mengersen ◽  
Rohan Jayaratne ◽  
Luis Ferreira ◽  
...  
Keyword(s):  
Air Quality ◽  
Motor Vehicle ◽  
Emission Factors ◽  
Particle Emission ◽  
Quality Assessments

scholarly journals AtmoVis: Visualization of Air Quality Data

2021 ◽  
Author(s):  
◽  
Benjamin Powley
Keyword(s):  
Air Quality ◽  
User Study ◽  
Poor Quality ◽  
Quality Data ◽  
Temporal Data ◽  
Multiple Sources ◽  
Web Based ◽  
Visualization System ◽  
Spatio Temporal ◽  
Temporal Data Analysis

<p>Air quality has an adverse impact on the health of people living in areas with poor quality air. Monitoring is needed to understand the effects of poor air quality. It is difficult to compare measurements to find trends and patterns between different monitoring sites when data is contained in separate data stores. Data visualization can make analyzing air quality more effective by making the data more understandable. The purpose of this research is to design and build a prototype for visualizing spatio-temporal data from multiple sources related to air quality and to evaluate the effectiveness of the prototype against criteria by conducting a user study. The prototype web based visualization system, AtmoVis, has a windowed layout with 6 different visualizations: Heat calendar, line plot, monthly rose, site view, monthly averages and data comparison. A pilot study was performed with 11 participants and used to inform the study protocol before the main user study was performed on 20 participants who were air quality experts or experienced with Geographic Information Systems (GIS). The results of the study demonstrated that the heat calendar, line plot, site view, monthly averages and monthly rose visualizations were effective for analyzing the air quality through AtmoVis. The line plot and the heat calendar were the most effective for temporal data analysis. The interactive web based interface for data exploration with a window layout, provided by AtmoVis, was an effective method for accessing air quality visualizations and inferring relationships among air quality variables at different monitoring sites. AtmoVis could potentially be extended to include other datasets in the future.</p>

scholarly journals Developing Web-Based 3D Health-Aware Routing for Pedestrians and Cyclists

2020 ◽  
Vol 171 ◽  
pp. 02009
Author(s):  
Rosanny Sihombing ◽  
Sabo Kwada Sini ◽  
Matthias Fitzky
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Health Concern ◽  
Quality Data ◽  
Quality Level ◽  
3D Navigation ◽  
Index Numbers ◽  
Web Based ◽  
Air Quality Data ◽  
Monitoring Stations

As the population of people migrating to cities keeps increasing, concerns have been raised about air quality in cities and how it impacts everyday life. Thus, it is important to demonstrate ways of avoiding polluted areas. The approach described in this paper is intended to draw attention to polluted areas and help pedestrians and cyclists to achieve the lowest possible level of air pollution when planning daily routes. We utilise real-time air quality data which is obtained from monitoring stations across the world. The data consist of the geolocation of monitoring stations as well as index numbers to scale the air quality level in every corresponding monitoring stations. When the air quality level is considered having a moderate health concern for people with respiratory disease, such as asthma, an alternative route that avoid air pollution will be calculated so that pedestrians and cyclists can be informed. The implementation can visualize air quality level in several areas in 3D map as well as informs health-aware route for pedestrian and cyclist. It automatically adjusts the observed air quality areas based on the availability of monitoring stations. The proposed approach results in a prototype of a health-aware 3D navigation system for pedestrian and cyclist.

Air Quality Assessments in the Vicinity of Swine Production Facilities

1997 ◽  
Vol 4 (1-2) ◽  
pp. 37-45 ◽  
Author(s):  
Stephen J. Reynolds ◽  
Kelley J. Donham ◽  
Jason Stookesberry ◽  
Peter S. Thorne ◽  
Periasamy Subramanian ◽  
...  
Keyword(s):  
Air Quality ◽  
Swine Production ◽  
Quality Assessments ◽  
Production Facilities
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