air quality data Articles

  • An Automated Workflow for Meteorological and Air Quality Data

    An Automated Workflow for Meteorological and Air Quality Data All collected as hourly average data on a Campbell Scientific CR3000 8 years of data taken hourly and daily 4 stations in remote areas of the Dominican Republic  20 primary measured parameters Added Air Quality QA/QC ...


    By EarthSoft, Inc

  • The Use of Real-Time Air Quality Data in Daily Forecasting and Decision-Making

    The feature articles published in this month’s issue describe various near-realtime data resources and provide examples of how they are being used to facilitate air quality forecasting and daily decision-making. The articles reinforce the importance of making as much environmental data as possible available to the public in real time. The major national source of realtime air quality data is ...

  • Buying AQM Equipment or AQ Data? It’s Your Choice

    In the traditional approach to air quality monitoring, those “who wants to know” have also owned and maintained the monitoring equipment generating the answers. This approach worked quite fine as long as the user had the budget to invest in the equipment and an organization large enough to maintain it.  However, recent years’ slimmed organizations have opened up for an ...


    By Opsis AB

  • Barrick Gold and Golder Associates Implement EQuIS for Automated Air Quality Data Monitoring System

    As part of a new Air Quality and Meteorology Network in the Dominican  Republic, Pueblo Viejo Dominicana Corporation (PVDC) have committed to implementing four automated air quality data monitoring systems. Three stations are already in place, with a fourth to be added pending site location approval. The stations are installed and maintained by Golder Solutions, the successful  vendor ...


    By EarthSoft, Inc

  • MPCA publishes local air quality data from AQMesh

    Minnesota Pollution Control Agency (MPCA) has been monitoring Minnesota’s air quality for a number of years, and it is generally considered to be good. However, MPCA wanted to understand how air pollution varies across small distances in order to minimise vulnerable communities’ exposure to harmful pollutants. Following project funding* in 2017, earlier this year MPCA successfully ...


    By AQMesh

  • MPCA publishes local air quality data from AQMesh

    Minnesota Pollution Control Agency (MPCA) has been monitoring Minnesota’s air quality for a number of years, and it is generally considered to be good. However, MPCA wanted to understand how air pollution varies across small distances in order to minimise vulnerable communities’ exposure to harmful pollutants. Following project funding* in 2017, earlier this year MPCA successfully ...


    By AQMesh

  • Interaction between air pollution and meteorological parameters in Erzurum, Turkey

    In recent years, the rapid increase in population density has caused increases in the consumption of fuel, and the outdoor air quality has deteriorated in the crowded urban areas of Turkey. Erzurum, a city in the eastern part of Turkey, is influenced by air pollutants such as SO2 and suspended particles. It is known that, in general, the air pollution concentrations have a close ...


    By Inderscience Publishers

  • Investigating weekend air quality observations with the aid of Fourier analysis in Athens, Greece

    Weekend air quality is analysed with the aid of Fourier analysis, in order to reveal time-series structures for Athens, Greece. For this reason, an appropriate analysis of a 10 year record from 1990–1999 of air quality data from the monitoring network in Athens is carried out for two specific monitoring sites. The aim of the paper is to investigate the temporal pattern of observations in order to ...


    By Inderscience Publishers

  • Receptor modelling of air quality data using neural networks

    Introduction According to Hopke (1991) the management of ambient air quality is a difficult but important problem. In general, it involves the identification of the sources of materials emitted into the air, the estimation of the emission rates of the pollutants, the understanding of the transport-diffusion processes involved and the physical and chemical changes that ...

  • Smart cities risk reputation with poor air quality data

    The team at AQMesh continue to receive many enquiries from smart city initiatives and are concerned that integrators risk undermining entire projects by distributing meaningless or misleading air quality information. “Many of the people I speak to are used to dealing with sensors that are easy to ‘plug and play’ and expect to be able to do the same with air quality sensors. This ...


    By AQMesh

  • Ozone diurnal characteristics in areas with different urbanizations

    The influences of the levels of urbanisation over the tropospheric ozone in the Hong Kong Special Administrative Region (HKSAR) have been analysed using its long–term air quality data from 1990 to 2005. Urbanisation was found to have considerable influence on ozone diurnal variations. Different ozone diurnal patterns would be formed under various land uses which are categorised as rural, ...


    By Inderscience Publishers

  • Automatic Ozone Mapping in France with ISATIS

    In France, air quality data are acquired by associations in charge of the air quality monitoring (Agences Agréées pour la Surveillance de la Qualité de l’Air - AASQA) These associations use the automatic procedures of ISATIS to daily update the pollution maps they publish on their websites. These automatic procedures make use of batch and allow to save time in the cartography because they enable ...


    By Geovariances

  • Reporting and exchanging air quality information using e-Reporting

    A number of EU legal instruments require EU Member States to monitor and report air quality data. This information is collated, analysed and disseminated by the European Environment Agency (EEA). At present much of the data is reported electronically by countries in data flows required under a specific legal instrument. As a result, reporting on air quality is not always integrated across all ...

  • Dispersion models and air quality data for population exposure assessment to air pollution

    Evaluating the extent of exposure to chemicals in absence of continuous measurements of their concentration in air and direct measures of personal exposure is crucial for epidemiological studies. Dispersion models can be a useful tool for reproducing spatio-temporal distribution of contaminants emitted by a specific source. However, they cannot easily be applied to short-term epidemiological ...


    By Inderscience Publishers

  • Diurnal and seasonal variations of carbon monoxide and nitrogen dioxide in Delhi city

    Motor vehicle exhaust emissions are one of the major causes of air quality deterioration in most of the cities of the developing world. Carbon monoxide (CO) and nitrogen dioxide (NO2) are significant contributors to this adverse effect on the environment. This study analyses air quality data for three years from 1997 to 1999, at two air quality control regions in Delhi city. The regions are ...


    By Inderscience Publishers

  • Neural network-based study for predicting ground-level ozone concentration in large urban areas, applied to the Sao Paulo metropolitan area

    Events of high concentration of ground-level ozone constitute a matter of major concern in large urban areas in terms of air quality, and public health. In the Sao Paulo Metropolitan Area (SPMA), air quality data generated by a network of air quality measuring stations have been used in a number of studies correlating ozone formation with different variables. A study was carried out on the ...


    By Inderscience Publishers

  • A second generation Gaussian dispersion model: the POLARIS model

    The development of a second generation Gaussian dispersion model (POLARIS) has been carried out. This model is significantly different from traditional Gaussian dispersion models, because its dispersion parameters have a continuous variation with the atmospheric stability. The new model was applied to the region of Setubal. The fossil fuel power plant in this region was taken as a point source, ...


    By Inderscience Publishers

  • A modelling system for air quality management

    To develop effective air quality management strategies at regional and urban levels requires the preparation of several actions belonging to different scientific areas and analysis of their complex interactions. A well-structured management system must be based on efficient tools that integrate diverse sets of information - emissions, traffic, meteorological variables and air quality data. ...


    By Inderscience Publishers

  • Project Minnesota Pollution Control Agency - Case Study

    Summary: 50 AQMesh pods are installed in Minneapolis and St. Paul to build up a picture of air quality across the two cities. Location: Minnesota, USA Date: Spring 2019 - Present Customer: Minnesota Pollution Control Agency (MPCA) ...


    By AQMesh

  • Effects of meteorological parameters on RSPM concentration in urban Delhi

    The adverse effect of Respirable Suspended Particulate Matter (RSPM) has become a well-recognised problem in environmental science. Dispersion and dilution of air pollutants are strongly influenced by meteorological parameters, namely wind, turbulence, and atmospheric stability. The analysis of Delhi's air quality data shows that winter is the most critical season with respect to the ...


    By Inderscience Publishers

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